Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-23T08:21:36.711Z Has data issue: false hasContentIssue false

Pre-Service Science Teachers’ Teaching Self-Efficacy in Relation to Personality Traits and Academic Self-Regulation

Published online by Cambridge University Press:  07 June 2013

Burcu Senler
Affiliation:
Mugla Sitki Kocman University (Turkey)
Semra Sungur-Vural*
Affiliation:
Middle East Technical University (Turkey)
*
*Correspondence concerning this article should be addressed to Semra Sungur. Middle East Technical University. Faculty of Education.Department of Elementary Education. 06531-Ankara (Turkey). Phone: +90-3122104066. Fax: +90-3122107984. E-mail: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

The aim of this study is to examine the relationship among pre-service science teachers’ personality traits, academic self-regulation and teaching self-efficacy by proposing and testing a conceptual model. For the specified purpose, 1794 pre-service science teachers participated in the study. The Teachers’ Sense of Efficacy Scale, the NEO Five-Factor Inventory, and the Motivated Strategies for Learning Questionnaire were administered to assess pre-service science teachers’ teaching self-efficacy, personality, and academic self-regulation respectively. Results showed that agreeableness, neuroticism, performance approach goals, and use of metacognitive strategies are positively linked to different dimensions of teaching self-efficacy, namely self-efficacy for student engagement, instructional strategies, and classroom management. In general, while agreeableness and neuroticism were found to be positively associated with different facets of self-regulation and teaching self-efficacy, openness was found to be negatively linked to these adaptive outcomes.

Type
Research Article
Copyright
Copyright © Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2013 

Compelling evidence suggests that having both pedagogy knowledge and content knowledge is not sufficient for teachers to be effective. Teachers’ beliefs about their abilities to positively influence student learning have been demonstrated to have a strong influence on teaching effectiveness (Knoblauch & Hoy, Reference Knoblauch and Hoy2008). Indeed, teachers’ self-efficacy -teachers’ judgment of their capabilities to organize and carry out strategies necessary for successfully accomplishing a specific teaching task in a particular context- is found to be significantly linked to their classroom behavior and to student outcomes such as achievement (Ashton & Webb, Reference Ashton and Webb1986) and motivation (Midgley, Feldlaufer, & Eccles, Reference Midgley, Feldlaufer and Eccles1989). In general, teachers with a strong sense of efficacy appear to be eager to try new strategies and methods to better meet students’ needs (Cousins & Walker, Reference Cousins and Walker2000) and show greater commitment to teaching (Coladarci, Reference Coladarci1992). They do not give up easily in the face of difficulties and setbacks. A strong sense of self-efficacy helps teachers deal with a struggling student longer and become less critical of student errors (Ashton & Webb, Reference Ashton and Webb1986; Gibson & Dembo, Reference Gibson and Dembo1984; Tschannen-Moran, Woolfolk-Hoy, & Hoy, Reference Tschannen-Moran, Woolfolk-Hoy and Hoy1998). On the other hand, teachers with low levels of self-efficacy tend to be less willing to work with students experiencing difficulties and tend to instruct the class as a whole. They are found to be less optimistic about student learning and to experience lower levels of job-satisfaction (Caprara, Barbaranelli, Steca, & Malone, Reference Caprara, Barbaranelli, Steca and Malone2006; Klassen et al., Reference Klassen, Bong, Usher, Chong, Huan, Wong and Georgiou2009; Tschannen-Moran, Woolfolk-Hoy, & Hoy, Reference Tschannen-Moran, Woolfolk-Hoy and Hoy1998).

Although there has been considerable research on teacher self-efficacy in other countries (e.g. Anderson, Greene, & Loewen, Reference Anderson, Greene and Loewen1988; Greenwood, Olejnik, & Parkay, Reference Greenwood, Olejnik and Parkay1990; Woolfolk & Hoy, Reference Woolfolk and Hoy1990; Pajares, Reference Pajares, Maehr and Pintrich1997, Goddard, Hoy, & Woolfolk Hoy, Reference Hoy2000; Klassen & Chiu, Reference Klassen and Chiu2010) and in Turkey (e.g. Cakiroglu, Cakiroglu, & Boone, Reference Cakiroglu, Cakiroglu and Boone2005; Gencer & Cakiroglu, Reference Gencer and Cakiroglu2007; Isiksal & Cakiroglu, Reference Isiksal and Cakiroglu2005; Koc, Reference Koc2011), there is limited information in the relevant literature concerning the relationship among teachers’ self-efficacy, personality, and academic self-regulation. However, since teachers’ sense of efficacy is found to be significantly associated with their instructional practices and with students motivation and achievement, there is a need to investigate the factors influencing the development of teachers’ self-efficacy beliefs starting with pre-service years. Indeed, the development of self-efficacy beliefs among pre-service teachers has attracted a great deal of research interest, as once efficacy beliefs are established; they tend to be resistant to change (Hoy & Spero, Reference Hoy and Spero2005). A limited number of studies found in the relevant literature demonstrated that how pre-service teachers’ approach to their own learning and personality are among the factors closely linked to their sense of efficacy. Actually, there are three lines of research in the literature. The first line of related research examines the relationship between teachers’ self-regulation and teaching self-efficacy. The second line of research investigates the relationship between teachers’ personality and self-regulation. Finally, the third line of the research explores the relationship between personality and teaching self-efficacy. By combining these three lines of research, which are explained in detail in the following sections, the present study aims at examining the relationships among pre-service science teachers’ personality, self-regulation, and teaching self-efficacy by proposing and testing a comprehensive conceptual model. Therefore, this study has a potential to make a unique contribution to teaching and teacher education literature since it is the first time a structural model with these variables is investigated. Moreover, the study was conducted specifically with pre-service science teachers in Turkey because, within the science domain, Turkish students are found to have low achievement scores on several international studies (PISA, 2003; TIMMS, 1999; TIMMS, 2007). In addition, science is one of the fundamental core subjects in the Turkish curriculum which has been recently revised. Compared to previous curriculum implemented countrywide, the revised science curriculum gives more emphasis on student centered activities, encouraging students to use various self-regulatory strategies in their learning. Since teaching self-efficacy is found to be significantly linked to teachers’ classroom practices, investigation of the factors related to the teaching self-efficacy, such as their own strategy use and personality, can be invaluable to support the recent reform efforts in science education and teacher education. Thus, findings can be used to improve the current status of science education in Turkey. In addition, the related literature on teacher education is based mainly on the studies conducted in Western countries. Turkey, bridging Asia and Europe, on the other hand, has traditionally been influenced by the East and the West. Thus, it has some unique and interesting characteristics. Since personality and the level of self-regulation and teaching self-efficacy can be influenced by culture (Cakiroglu et al., Reference Cakiroglu, Cakiroglu and Boone2005; Mclnerney, Reference Mclnerney, Schunk and Zimmerman2008), the observed relationship between these variables may show differences from culture to culture. Considering the fact that Turkey has some unique characteristics, results obtained from this study can provide better explanations for the findings obtained from other countries with different cultures.

Overall, in an effort to improve science teaching, the current study aims at examining the relationship among Turkish pre-service science teachers’ personality, self-regulation, and teaching self-efficacy by examining related variables simultaneously. The consolidated model proposed to investigate possible relationships between pre-service science teachers’ self-efficacy, their academic self-regulation, and their personality are displayed in Figure 1. In the model, it was hypothesized that personality variables and academic self-regulation variables are related to the pre-service science teachers’ teaching self-efficacy variables. In addition, the model suggested links between personality variables and academic self-regulation variables.

Figure 1. Model of the proposed relationships between self-efficacy, academic self-regulation, and personality traits.

Accordingly, as detailed in the following sections, the model contains three main construct, namely teacher self-efficacy, academic self-regulation, and personality. All three constructs are represented by a number of subcomponents: Teacher self-efficacy is examined in three dimensions namely, self-efficacy for student engagement, self-efficacy for instructional strategies, and self-efficacy for classroom management. Academic self-regulation, on the other hand, encompasses achievement goals, task value, control of learning beliefs, test anxiety, metacognitive self-regulation, effort regulation, and peer learning. Finally, personality includes neuroticism, extraversion, openness, agreeableness, and conscientiousness.

In the proposed model, it was hypothesized that among personality variables, openness, conscientiousness, extroversion, and agreeableness were positively related to all dimensions of teaching self-efficacy. In addition, positive associations were predicted between all dimension of teaching self-efficacy and all components of self-regulation except avoidance goals. Moreover, the model suggested positive relationships between openness, conscientiousness, and agreeableness and approach goals, metacognitive self-regulation, and effort regulation sub-components of academic self-regulation. Additionally, positive relationships were proposed between extroversion and approach goals and between neuroticism and test anxiety. All proposed relationships were derived from relevant literature and theory and detailed in the following sections.

Relationship between Pre-service Teachers’ Academic Self-Regulation and Teaching Self-Efficacy

Student self-regulation has generated a great deal of research interest since it has been found to be closely linked to achievement related outcomes such as actual achievement and persistence (Pintrich & Schunk, Reference Pintrich and Schunk2002; Zimmerman, Reference Zimmerman, Kaerts, Pintrich and Zeidner2000). According to recent models of self-regulated learning inspired by the social-cognitive theory, self-regulation is more than metacognition, it involves motivational and behavioral components as well as cognitive and metacognitive components (Zimmerman, Reference Zimmerman, Kaerts, Pintrich and Zeidner2000). In other words, recent models of self-regulation based on the social-cognitive theory suggest that use of cognitive and metacognitive strategies are of little value if students cannot motivate themselves to use them. Numerous self-motivational beliefs establish a base for goal setting and strategic planning, which are crucial aspects of student self-regulation. Among these self-motivational beliefs are students’ beliefs about their control over the learning process, task value perceptions, and achievement goals. Students’ beliefs that they can control their own academic performance are called control of learning beliefs. Task value perceptions and achievement goals, on the other hand, basically involves students’ reasons for engaging in a task (Pintich & DeGroot, Reference Pintrich and De Groot1990; Vanderstoep, Pintrich, & Fagerlin, Reference Vanderstoep, Pintrich and Fagerlin1996; Zimmerman, Reference Zimmerman, Kaerts, Pintrich and Zeidner2000). Recent research has focused on four achievement goals, namely mastery approach goals, mastery avoidance goals, performance approach goals, and performance avoidance goals. While mastery approach goals emphasize learning and deep understanding, mastery avoidance goals aim at avoiding not learning and misunderstanding. Performance approach goals emphasize looking smart and getting the highest grades, whereas performance avoidance goals aim at avoiding being inferior and getting the worst grades (Elliot & Church, Reference Elliot and Church1997; Elliot & McGregor, Reference Elliot and McGregor2001; Elliot & Reis, Reference Elliot and Reis2003; Pintrich & Schunk, Reference Pintrich and Schunk2002). Within the motivational component of self-regulation, test anxiety refers to worry and concerns over taking exams.

Research in the field of educational psychology showed that students’ beliefs about the importance and utility of academic tasks (i.e. task value) and their sense of control over academic outcomes (i.e. control of learning beliefs) are significantly related to their goals (Eccles & Wigfield, Reference Eccles, Wigfield, Fiske, Schacter and Sahn-Waxler2002; Hoy, Reference Hoy2004; Pintrich & DeGroot, Reference Pintrich and De Groot1990), More specifically, while these adaptive motivational beliefs are found to be positively associated with approach goals, avoidance goals are often found to be linked to lower levels of task value and maladaptive patterns of attributions leading to the beliefs that academic performance is not controllable (Pintrich & Schunk, Reference Pintrich and Schunk2002). Based on the abovementioned literature, the conceptual model proposed in the current study predicted positive relationships between task value, control of learning beliefs and approach goals and negative relationships between these two motivational variables and avoidance goals. In other words, it was hypothesized that students who attach value to academic tasks and believe that they can be successful if they put necessary effort forth are likely to study for the reasons of learning, understanding and getting good grades (Valle et al., Reference Valle, Cabanach, Nunez, Gonzalez-Pienda, Rodriguez and Pieniro2003). However, students with lower levels of positive task value beliefs and control over learning were expected to adopt avoidance goals. In addition, a positive relationship was predicted between avoidance goals and test anxiety since avoidance goals are generally found to be associated with higher levels of anxiety (Pintrich & Schunk, Reference Pintrich and Schunk2002).

Cognitive and metacognitive components of self-regulation involve students’ use of various cognitive and metacognitive strategies such as planning, monitoring, and regulating strategies that help control and regulate their cognition. Concerning the behavioral component, self-regulated learning involves effort regulation (e.g., persisting in the face of a difficult or boring task) and peer learning (e.g., working with other students to complete the assignments). Relevant research has also demonstrated that approach goals. task value, and control of learning beliefs are positively related to use of metacognitive strategies like planning, monitoring, and regulating learning (Ames & Archer, Reference Ames and Archer1988; Meece, Blumenfeld, & Hoyle, Reference Meece, Blumenfeld and Hoyle1988; Neber, & Schommer-Aikins, Reference Neber and Schommer-Aikins2002; Pintich & DeGroot, Reference Pintrich and De Groot1990, Sungur, Reference Sungur2007). Therefore, in the present study, the proposed model suggested that approach goals, task value, and control of learning beliefs are positively associated with metacognition. However, negative relations were proposed between avoidance goals and metacognition. Indeed, the study conducted by Vrugt and Oort (Reference Vrugt and Oort2008) revealed a negative relationsip of performance avoidance goals and a positive realtionship of approach goals with metacoginiton.

In addition, the research in the field of educational psychology (e.g. Sungur Reference Sungur2007) indicated that students with higher levels of metacognitive strategy use, approach goals, more positive task value beliefs, and control of learning beliefs are likely to put more effort to succeed on a task and persist longer (i.e. effort regulation). Accordingly, in the present study was hypothesized that metacognition, approach goals, task value, control of learning beliefs are positively linked to effort regulation. In addition, it was predicted that negative associations exist between avoidance goals and effort regulation since avoidance goals are generally found to be related to failure to persist and withdrawal of effort (Pintrich & Schunk, Reference Pintrich and Schunk2002).

Relevant research demonstrated that self-regulated learners can initiate learning tasks, determine their own goals, use appropriate strategies to achieve these goals, and then monitor and evaluate their own learning. They are motivated to use the strategies as well as regulate their cognition and effort (Pintrich & DeGroot, Reference Pintrich and De Groot1990; McCoach & Siegle, Reference McCoach and Siegle2003). Therefore, self-regulated learners are likely to achieve at higher levels than students who are passive in their learning and depend on teachers for performing these same functions (Risemberg & Zimmerman, Reference Risemberg and Zimmerman1992).

Although there is considerable research on student self-regulation at different grade levels, there has been little research focusing on pre-service or in-service teachers’ self-regulatory strategies in their own learning. The studies of pre-service or in-service teachers have demonstrated that they often do not use self-regulatory strategies as effectively as students and it was suggested that if pre-service teachers become self-regulated in their own learning, their experience in self-regulatory processes can help them develop strategies for teaching self-regulation to their students (Gordon, Dembo, & Hocevar, Reference Gordon, Dembo and Hocevar2007). In addition, it was proposed that pre-service teachers who value self-regulatory skills and teach them to their students are likely to create learning environments supporting student autonomy. In fact, according to Dembo (Reference Dembo2001), learning how to teach is not sufficient; rather teachers should learn how to learn to improve their classroom practices. Furthermore, studies on teachers’ effectiveness demonstrated that self-regulatory skills are important determinants of teachers’ self-efficacy beliefs which are significantly associated with their behavior and practices in the classroom (Bembenutty, Reference Bembenutty2006; Dembo, Reference Dembo2001). For example, in a study of 63 secondary education pre-service teachers attending a graduate educational program at a college, Bembenutty (Reference Bembenutty2007) showed that there is a strong correlation between pre-service teachers’ self-regulation and their teaching self-efficacy. More specifically, it was found that higher levels of task value, intrinsic interest, time and study environment management and use of metacognitive strategies were associated with higher levels of teaching self-efficacy. Additionally, a positive correlation was found between task value and metacognitive strategy use. Based on the results, the author suggested that teacher education programs should help pre-service teachers learn how to regulate their own learning motivationally, metacognitively, and behaviorally, and use effective strategies during their training in order to improve their sense of teaching self-efficacy beliefs. Therefore, it appears that self-efficacy has a mediating role between teachers’ self-regulatory strategies in their learning and their classroom behaviors. In other words, teachers who use self-regulatory strategies in their learning are likely to be self-efficacious in their teaching which is related to the development of strategies supporting student self-regulation and autonomy.

Considering the abovementioned theory and literature, in the proposed model displayed in its consolidated form in Figure 1, significant relationships were hypothesized between different facets of pre-service science teachers’ academic self-regulation (i.e. achievement goals, task value, control of learning beliefs, test anxiety, metacognitive strategy use, effort regulation, and peer learning) and three dimensions of teaching self-efficacy (i.e. self-efficacy for student engagement, instructional strategies, and classroom management). More specifically, it was hypothesized that different facets of self-regulation namely, task value, control of learning beliefs, metacognition, effort regulation, peer learning, and approach goals were positively linked to teaching self-efficacy variables. On the other hand, negative relations were proposed between avoidance goals and teaching self-efficacy.

Relationship between Pre-service Teachers’ Personality and Academic Self-Regulation

The Five-Factor Model of personality, which suggests that the Big Five traits (Neuroticism, Extraversion, Openness, Conscientiousness, and Agreeableness) display fundamental aspects of personality and greatly influences human behavior (Costa & McCrae, Reference Costa and McCrae1992), has attracted much interest over the past two decades. In the field of education, two of the five traits have been of particular interest: Openness and Conscientiousness. Open individuals are curious, creative and have a wide range of interest. Conscientiousness involves characteristics like being diligent, purposeful, well-organized, and self-disciplined. Therefore, it was predicted that these personality traits may have strong impact on students’ motivation, cognition, and behavior in their learning (Costa & McCrae, Reference Costa and McCrae1992). Indeed, the study conducted by Blickle (Reference Blickle1996) revealed that conscientiousness is highly correlated with students’ learning discipline, which includes their effort, metacognition, time and study environment management, peer learning and their rehearsal and organization strategy use. Moreover, it was found that openness is correlated with students’ critical thinking, their use of learning strategies leading to deeper understanding of the material such as integrating new knowledge into a network of existing knowledge, and accessing different resources. In sum, the above mentioned study revealed that conscientiousness and openness are significantly linked to cognitive, metacognitive, and behavioral components of self-regulation. Similarly, in their study examining the relationship between personality traits and self-regulation, Bidjerano and Dai (Reference Bidjerano and Dai2007) reported that conscientiousness and openness are significantly linked to metacognitive and behavioral components of self-regulation including critical thinking skills, metacognition, effort regulation, time management, and elaboration. Moreover, agreeableness was found to be significantly related to effort regulation and use of surface learning strategies (Slaats, Van der Sanden, & Lodewijks, Reference Slaats, Van der Sanden and Lodewijks1997; Vermetten, Lodewijks, & Vermunt, Reference Vermetten, Lodewijks and Vermunt2001). Based on the aforementioned literature, the conceptual model proposed in the current study predicted positive relationships between pre-service science teachers’ personality traits ( i.e. openness, conscientiousness, and agreeableness) and their metacognition and effort regulation. In addition, although the links of extraversion and neuroticism to different components of self-regulation have less theoretical and empirical justification than links of openness, conscientiousness, and agreeableness (Bidijerano & Dai, Reference Bidjerano and Dai2007), in the current study, extraversion and neuroticism are proposed to be negatively associated with metacognition and effort regulation: Bidijerano and Dai (Reference Bidjerano and Dai2007) suggested that since extroverts are sociable, impulsive, and distractible, they may less effectively use various strategies and regulate their effort. Moreover, in the literature, the overall relationship of neuroticism with strategy use, motivation, and effort is found to be negative (Matthews & Zeidner, Reference Matthews, Zeidner, Dai and Sternberg2004, as cited in Bidijerano & Dai, Reference Bidjerano and Dai2007).

Concerning the relationship between personality traits and the motivational component of self-regulation, Judge and Ilies (Reference Judge and Ilies2002) demonstrated that extraversion is significantly associated with motivational variables such as goal setting and expectancy beliefs. Supporting this finding, Wang and Erdheim (Reference Wang and Erdheim2007) found that while extraversion is positively related to mastery approach goals and performance approach goals, neuroticism is positively linked to performance avoidance goals. In addition, Komarraju and Karau’s (Reference Komarraju and Karau2005) study revealed significant relationships exist between personality traits and motivational factors. Accordingly, in the present study, it was predicted that neuroticism is positively associated with avoidance goals. Additionally, since anxious people are fearful and likely to worry, neuroticism was hypothesized to be positively related to test anxiety. On the other hand, although relationships between remaining personality traits (i.e. openness, conscientiousness, agreeableness, and extroversion) and achievement goals are not well established in the literature, current study proposed positive links between approach goals and these four personality traits. Indeed, the positive link between extroversion and approach goals was empirically demonstrated by Wang and Erdheim’ (Reference Wang and Erdheim2007) study. Concerning openness, conscientiousness, and agreeableness, individuals who have intellectual curiosity and willingness to try different activities (i.e. openness), who are tender-minded (ie. agreeableness), and who work hard and complete tasks in the face of difficulties (i.e. conscientiousness) are likely to study for the reasons of learning and understanding rather than competing and showing their abilities to others.

In sum, the aforementioned literature suggests that there is a significant association between personality traits and different aspects of self-regulation. Therefore, as suggested by Bidjerano and Dai (Reference Bidjerano and Dai2007), although the theoretical relationship between personality traits and self-regulation has not been well-justified, several meaningful associations can be proposed and examined based on previous research.

Relationship between Pre-service Teachers’ Personality and Teaching Self-Efficacy

Research has demonstrated that teachers’ personality traits are associated with their teaching effectiveness. Indeed, Erdle, Murray, and Rushton’s (Reference Erdle, Murray and Rushton1985) study revealed a significant relationship between personality traits and teaching effectiveness, which was mediated through the teachers’ use of a variety of strategies and materials. Supporting this finding, Katz (Reference Katz1992) reported that teachers who are analytical, imaginative, and creative are more likely to utilize various strategies during instruction. Moreover, teachers with tough-minded, extraverted, and stables personalities were found to be more receptive to new ideas. Related literature revealed that classroom behaviors such as being receptive to the use of alternative strategies and methods to better meet students’ needs (Cousins & Walker, Reference Cousins and Walker2000) and showing greater commitment to teaching (Coladarci, Reference Coladarci1992) are significantly associated with teachers’ self-efficacy. In addition, Knoblauch and Hoy (Reference Knoblauch and Hoy2008) demonstrated that teachers’ self-efficacy beliefs have a strong influence on teaching effectiveness, which is found to be associated with personality traits. However, there are a few studies in the relevant literature which have investigated teaching self-efficacy in relation to teachers’ personality traits. In one such study, Henson and Chambers (Reference Henson and Chambers2003) examined the relationship among teachers’ personality traits, classroom management and teaching self-efficacy. Results of the study showed that extraverted teachers had higher levels of teaching self-efficacy. Additionally, in their meta-analysis of the big-five personality dimensions and job effectiveness, Barrick and Mount (Reference Barrick and Mount1991) suggested that conscientiousness and neuroticism are valid predictors of job performance for all occupational groups. According to the researchers, viewing conscientiousness from a positive pole, higher levels of conscientiousness is expected to be associated with better job performance because conscientiousness involves hard work, persistence, and responsibility. On the other hand, viewing neuroticism from a negative pole, higher levels of neuroticism is expected to be related to worse job performance because neuroticism involves nervousness, high-strangeness, and worry. Moreover, Barrick and Mount (Reference Barrick and Mount1991) predicted that for occupations requiring cooperation or interaction with others, extraversion and agreeableness are valid predictors of job performance. Additionally, it was predicted that openness is a valid predictor of training proficiency because openness involves curiosity, broadmindedness, and intelligence which are characteristics related to positive attitudes toward learning. Results of the meta-analysis, in general, were consistent with the predictions. In line with the aforementioned literature, it was hypothesized in the present study that all personality traits are significantly linked to teaching efficacy, which is closely associated with teaching effectiveness. More specifically, based on relevant theory and literature, the model proposed in the current study suggested that extraverted, agreeable and conscientious pre-service science teachers have higher levels of teaching efficacy. Actually, teaching involves interaction with others such as students, colleagues, and parents and extrovert individuals are friendly, they speak without hesitation and sincerely like people. Moreover, openness is anticipated to be positively related to teaching self-efficacy because open individuals are curious, open-minded, and has willingness to try different activities and strategies. Conscientious individuals are self-disciplined and they can motivate themselves to get the job done. They do not give up easily (Costa & McCrae, Reference Costa and McCrae1991). Such characteristics are expected to have positive impact on teachers’ self-efficacy and, in turn, their teaching effectiveness. On the other hand, it is predicted that neuroticism is negatively related to teaching self-efficacy since neuroticism is associated with negative affects and psychological distress, which may interfere with adaptation. In addition, people with higher levels of neuroticism tend to cope more poorly compared to others when faced with stress or difficulties (Costa & McCrae, Reference Costa and McCrae1991).

Method

Participants

Participants of the study were 1794 pre-service elementary science teachers (876 males and 905 females) from 27 universities in Turkey. All of the universities involved in the study were public universities that follow the same teacher education program, which had been restructured for all disciplines by the Higher Education Council (YÖK) in 1998 (YÖK, Reference YÖK1998). This restructured program contains courses in different branches of science, namely biology, physics, and chemistry and several courses related to special subject training and pedagogy. The pedagogical domain includes three field experience courses in which pre-service teachers observe teaching environments and teach in actual classes. Pre-service teachers are supposed to teach for at least 24 hours in the last semester of their teacher education program.

During sample selection, universities with departments of elementary science education in seven geographical regions of Turkey were identified. Then, the total number of pre-service science teachers in each region was determined. With the aim of obtaining a sample as large and representative as possible with a reasonable expenditure of time, energy, and money, universities in each region were randomly selected. Finally, data were collected from all volunteer pre-service science teachers attending the selected universities. The participants were informed that their names should not appear anywhere on the data collection instruments to ensure anonymity. Additionally, they were ensured that their responses would be strictly confidential. All data collection instruments were simultaneously administered to the participants.

Instruments

Teachers’ Sense of Efficacy Scale (TSES), also known as the Ohio State Teacher Efficacy Scale, was used to assess pre-service science teachers’ teaching self-efficacy. The TSES, a nine-point Likert scale ranging from “1 = nothing” to “9 = a great deal”, was originally developed by Tschannen-Moran and Woolfolk-Hoy (2001). It consists of 24 items in three sub-scales, namely efficacy for student engagement (8 items), efficacy for instructional strategies (8 items), and efficacy for classroom management (8 items). More specifically, the TSES assesses teachers’ beliefs about their ability to engage all students in learning, to utilize effective instructional strategies and to manage classroom behaviors effectively. The TSES was translated and adapted into Turkish by Çapa, Çakıroğlu, and Sarıkaya (Reference Çapa, Çakıroğlu and Sarıkaya2005). During its validation by Çapa et al., (Reference Çapa, Çakıroğlu and Sarıkaya2005), confirmatory factor analysis was carried out and the results indicated a good fit (TLI = .99, CFI = .99, RMSEA = .065). In order to validate the factor structure of the TSES for the present study, confirmatory factor analysis was conducted. The fit statistics revealed a good data fit (RMSEA = .07, GFI = .90, CFI = .89). Moreover, internal consistencies of the sub-scales were found to be sufficiently high. Table 1 displays Cronbach’s alpha coefficients and sample items for each sub-scale.

Table 1. Reliability coefficients of the data collection instruments with sample items*

*Since The NEO Personality Inventories are copyrighted, no sample item was provided from NEO-FFI.

NEO Five-Factor Inventory (NEO-FFI), a five point likert scale from “5 = strongly agree” to “1 = strongly disagree” was used. Costa and McCrae (1991b) developed this scale as a short form of the NEO Personality Inventory (NEO-PI). It includes 60 items that provide a comprehensive measure of five domains of personality, namely neuroticism (N), extraversion (E), openness (O), agreeableness (A), and conscientiousness (C). Costa and McCrae (Reference Costa and McCrae1992) described these five domains as follows: Neuroticism (N) refers to the tendency of an individual to experience unpleasant emotional instability and to have corresponding disturbances in thoughts and actions, while Extraversion (E) refers to differences in preference for social behavior and lively activity. Characteristics of extraverts include being sociable, gregarious, and outgoing; preferring large groups of people; being active; liking excitement; and being optimistic. Openness (O) involves displaying an active imagination, aesthetic sensitivity, consideration of inner feeling, a preference for variety, intellectual curiosity, and independence of judgment. Agreeableness (A) is characterized by interpersonal tendencies, including eagerness to help others, altruism, sympathy, and a belief that others will be helpful in return. Conscientiousness (C) is an individual’s ability to control impulses, plan and organize active processes, carry out tasks, and demonstrate hard-work.

The coefficient alphas for the neuroticism, extraversion, openness, agreeableness, and conscientiousness domains were .86, .77, .73, .68, and .81 respectively.

The NEO-PI were translated and adapted into Turkish by Gulgoz (Reference Gulgoz, McCrae and Allik2002). During its validation for Turkish sample, Gulgoz conducted exploratory factor analysis and the largest facet loadings were found to be on the same factors as in the original structure. The congruence coefficients, ranging from .88 to 1.00, also indicated that the factor structures obtained from the original sample and Turkish sample were similar. Turkish version of NEO-FFI was also suggested by Gulgoz.

The Motivated Strategies for Learning Questionnaire. All facets of academic self-regulation, except for achievement goals, were assessed by Motivated Strategies for Learning Questionnaire (MSLQ), developed by Pintrich, Smith, Garcia, and McKeachie (Reference Pintrich, Smith, Garcia and McKeachie1993). It is a self-report questionnaire on a seven-point Likert scale (1 = not at all true of me to 7 = very true of me). The MSLQ consists of two main sections, a motivation section and a learning strategies section. The motivation section includes 31 items in six subscales that assess students’ motivational orientations. The learning strategy section, on the other hand, includes 50 items in nine subscales related to students’ use of various learning strategies. Among the 15 sub-scales, only the Task Value (judgments of how interesting, useful and important the academic task), Control of Learning Beliefs (the belief that the effort to learn will lead to positive outcomes), Test Anxiety (worry and concern over taking exams), Effort Regulation (persisting in the face of difficulties and distracters), Peer Learning (using a study group or friends to help learn), and Metacognitive Self-Regulation (using the strategies that facilitate the control and regulation of cognition) subscales of the MSLQ were utilized for the specified purpose.

The MSLQ was translated and adapted into Turkish by Sungur (Reference Sungur2004). During its validation, confirmatory factor analysis was conducted for each section and fit statistics similar to the original instrument were obtained (see Sungur, Reference Sungur2004). In order to validate the factor structure for the present study, Confirmatory Factor Analysis was conducted. The results showed a good model fit (RMSEA = .07, GFI = .94, CFI = .91). The cronbach’s alpha coefficients and sample items for each sub-scale are displayed in Table 1.

The Achievement Goal Questionnaire (AGQ) is a five-point Likert-type instrument developed by Elliot and McGregor (Reference Elliot and McGregor2001). In the present study it was used to assess pre-service science teachers’ adoption of mastery approach (3 items), performance approach (3 items), mastery avoidance (3 items), and performance avoidance goals (6 items) in their courses in the teacher education program. While mastery approach goals focus on learning and understanding, performance approach goals emphasize showing abilities to others. Mastery avoidance goals, on the other hand, are characterized by striving to avoid misunderstanding and making mistakes. Contrary to mastery avoidance goals, performance avoidance goals are characterized by an intention to avoid failure relative to others. The AGQ was translated and adapted into Turkish by Senler and Sungur (Reference Sungur2007). During its validation, both exploratory and confirmatory factor analyses were conducted, and the results supported four-factor structure (RMSEA = .06, GFI = .92, CFI = .90, SRMR = .07). Forty-five percent of the variance was explained by the four factors. In order to validate the factor structure for the present study, Confirmatory Factor Analysis was conducted. The results showed a good model fit (RMSEA = .09, GFI = .91, CFI = .90). Table 1 displays Cronbach’s alpha coefficients and sample items for each sub-scale.

Data Analysis

In the present study, path analysis was conducted to investigate the relationships among pre-service science teachers’ personality, academic self-regulation and teaching self-efficacy. Path analysis, which involves only observed variables, is a special case of structural equation modelling (SEM). The goal of path analysis, and more generally of SEM, is to determine how well a proposed model with a set of specified relationships among variables, explains the observed relationships among these variables. Thus, path analysis (i.e. simultaneous equations) is different from separate regressions approach in that path analysis provides both the path coefficients for the model and a test of the overall model fit (Savalei & Bentler, Reference Savalei, Bentler, Grover and Vriens2006).

Results

Descriptive Statistics

Descriptive statistics for the subscale scores of Personality Inventory, Teachers’ Sense of Self-efficacy Scale, Achievement Goal Questionnaire, and Motivated Strategies for Learning Questionnaire are displayed in Table 2. As shown in the table, pre-service science teachers had high levels of science teaching self-efficacy in comparison to the scale maximum. The highest mean score was obtained on the teaching self-efficacy for instructional strategies (M = 6.10, SD = .89). This finding implied that pre-service science teachers believed that they can use appropriate instructional strategies effectively in their classes. The high mean score on teaching self-efficacy for classroom management (M = 6.07, SD = .90) also revealed that their judgment of their ability to manage student conduct and classroom behavior is high. Although the mean score was lowest on the teaching self-efficacy for student engagement (M = 5.96, SD = .87), it was still above the middle-point of the nine-point scale implying that pre-service science teachers had also high levels of efficacy in engaging their students in science learning.

Table 2. Descriptive statistics

With regard to pre-service science teachers’ personality, these results suggested that pre-service science teachers tend to demonstrate the characteristics of neuroticism at higher levels compared to the characteristics of the other personality traits. On the other hand, the lowest mean score for conscientiousness may imply that pre-service science teachers demonstrate its relevant behaviors and feelings, such as feeling well-organized and well-prepared to deal with daily life activities, having high levels of aspiration, working hard to realize the goals, and having self-discipline at lower levels than those of the relevant behaviors of other personality traits.

Concerning the different aspects of pre-service science teachers’ academic self-regulation, scores on the four subscales- namely control of learning beliefs M = 3.03, SD = .57, test anxiety M = 3.12, SD = .82, effort regulation M = 2.36, SD = .50, and peer learning M = 1.28, SD = −.39 were below the middle point. On the other hand, the mean score for the task value M = 4.53, SD = .98 was above the middle point and the score on the metacognitive self-regulation M = 6.47, SD = 1.09 was at the higher end. These results suggested that, in the courses offered by teacher education program, pre-service science teachers tend to control their own cognition using a variety of strategies such as planning, monitoring, and evaluating, and tend to have low levels of test anxiety. In addition, they appeared to perceive the tasks that they engage in as interesting, important, and useful. However, pre-service science teachers appeared to have low levels of control of learning beliefs, effort regulation, and peer learning. This finding suggested that pre-service science teachers are less likely to persist longer when they are faced with difficulties and distracters in their learning. Moreover, they tend to believe that they have little control over their learning and they rarely set aside time to work with their peers.

As another facet of pre-service science teachers’ academic self-regulation, their achievement goals were assessed through the AGQ. The mean subscale scores on the questionnaire ranged from 2.55 to 4.10 on a five-point scale (see Table 2). The highest mean score was for mastery approach goals M = 4.10, SD = .76, while the lowest mean score was for performance avoidance goals M = 2.55, SD = .98. In general, descriptive statistics suggested that pre-service science teachers tend to study for the reasons of mastering tasks, understanding deeply, and getting good grades rather than avoiding misunderstanding, looking stupid, and getting the worst grades.

Zero-order Correlations among Pre-service Science Teachers’ Self-Efficacy, Academic Self-Regulation, and Personality

As preliminary analysis, bivariate relationships among pre-service science teachers’ self-efficacy, academic self-regulation, and personality correlation analyses were examined. Among the 153 correlations, 128 of them were significant (see Table 3).

Table 3. Zero-order correlations

**Correlation is significant at the 0.01 level (2-tailed).

*Correlation is significant at the 0.05 level (2-tailed).

The highest positive correlation coefficients were between teacher self-efficacy variables, namely, student engagement and instructional strategies (r = .76); instructional strategies and classroom management (r = .72); student engagement and classroom management (r = .70). The lowest positive correlations among observed variables were found between neuroticism and metacognitive self-regulation (r = .05); mastery avoidance and openness (r = .05); extraversion and consciousness (r = .05).

On the other hand, the highest negative correlations were found between consciousness and metacognitive self-regulation (r = .37), mastery approach (r = .30), and instructional strategies (r =.30). The lowest negative correlation were determined between mastery approach and test anxiety (r = −.05); performance approach and extraversion (r = .06); mastery avoidance and classroom management (r = .06).

Inferential Statistics

In order to examine the relationships among pre-service science teachers’ personality, academic self-regulation and teaching self-efficacy, path analysis was conducted by proposing a conceptual model. In the proposed model, all the variables were identified as observed variables. The model was examined through path analysis utilizing LISREL 8.30 (Jöreskog & Sörbom, Reference Jöreskog and Sörbom1996). Since the resulting fit indices for the model explained in the introduction section did not indicate a perfect fit (RMSEA = .16, GFI = .91, SRMR = .08, CFI= .78), new paths were specified based on the modification indices. In the revised model, paths were added from self-efficacy for classroom management to self-efficacy for instructional strategies and from self-efficacy for classroom management to student engagement. Moreover, paths were specified from performance approach goals to mastery approach goals and from peer learning to metacognitive self-regulation. Additionally, covariances were set from performance approach goals to performance avoidance goals and from self-efficacy for instructional strategies to self-efficacy for student engagement. The resulting fit indices indicated that the model fits the data well, (RMSEA = .09, GFI = .97, CFI = .95, SRMR = .04). Since the fit indices indicated a theoretically sound model that explained the data well, the standardized path coefficients for direct and indirect effects were analyzed. The conceptual model with significant path coefficients is presented in Figure 2. At this point, it should be noted that in the current study, the notion effect does not imply causality; it simply denotes the exerted influence of one variable on another.

Figure 2. Conceptual model with significant path coefficients.

Relationships between Personality and Academic Self-Regulation

In the model, the results concerning the relationship between pre-service science teachers’ personality and their academic self-regulation and the relationship among different components of academic self-regulation showed that pre-service science teachers’ personality and their performance approach goals, task value, and control of learning beliefs explained 53% of the variance in mastery approach goals (see Table 4). In particularly, neuroticism (β = .08), agreeableness (β = .06), consciousness (β = .05), and performance approach goals (β = .66) have significant effect on mastery approach goals. However, openness (β = .07) and task value (β = .07) were determined to be related negatively to this dimension.

Table 4. Direct effects on mastery approach goals dimension of academic self-regulation

When performance approach goals are examined as one of the components of pre-service science teachers’ academic self-regulation, it was found that other components of academic self-regulation (i.e. task value, and control of learning beliefs) and pre-service science teachers’ personality accounted for 10% of the variance in this dimension (see Table 5). There were positive relationship between extraversion (β = .09), agreeableness (β = .20) and performance approach goals. Similarly to mastery approach goals, negative relationships were found between openness β = .07) and task value (β = .07) and this dimension.

Table 5. Direct effects on performance approach goals dimension of academic self-regulation

Moreover, as shown in Table 6, 10% of the variance of mastery avoidance goals was explained by pre-service science teachers’ personality and academic self-regulation implying significant association with neuroticism (β = .07) and openness (β = .31).

Table 6. Direct effects on mastery avoidance goals dimension of academic self-regulation

With respect to performance avoidance goals, pre-service science teachers’ personality and academic self-regulation explained 10% of the variance of this dimension. Openness (β = .05), consciousness (β = .12), and task value (β = .27) were found to be significantly related to mastery avoidance goals (see Table 7).

Table 7. Direct effects on performance avoidance goals dimension of academic self-regulation

In addition, pre-service science teachers’ personality and academic self-regulation accounted for 39 % of the variance in metacognitive self-regulation dimension (see Table 8). Specifically, neuroticism (β = .39), agreeableness (β = .14), mastery approach goals (β = .15), and peer learning (β = .24) predicted metacognitive self-regulation. On the contrary, extraversion (β = .09), openness (β = .12), mastery avoidance goals (β = .04), task value (β = .07), and control of learning beliefs (β = .12) were found to have significantly effect on metacognitive self-regulation.

Table 8. Direct effects on metacognitive self-regulation goals dimension of academic self-regulation

Furthermore, 23 % of the variance of effort regulation dimension was explained by pre-service science teachers’ personality and academic self-regulation (see Table 9). According to the results, neuroticism (β = .07), openness (β = .24), consciousness (β = .05), metacognitive self-regulation (β = .27), and peer learning (β = .20) were significantly associated with effort regulation. Conversely, negative associations were found between agreeableness (β = .12) and control of learning beliefs (β = .06) and effort regulation.

Table 9. Direct effects on effort regulation and text anxiety goals dimension of academic self-regulation

Finally, neuroticism (β = .23) accounted for 5% of the variance in test anxiety indicating there was negative relationship between neuroticism (i.e. anxiety, angry hostility, depression, self-consciousness, impulsiveness, and vulnerability) and giving value to courses (see Table 8).

Relationships between Academic Self-Regulation and Teacher Self-Efficacy

Concerning the relationship between pre-service science teachers’ academic self-regulation and their self-efficacy, results showed that pre-service science teachers’ personality and academic self-regulation accounted for 10 % of variance in self-efficacy for student engagement (see Table 10). Concerning academic self-regulation variables, performance approach goals (β = .09), and metacognitive self-regulation (β = .14) were significantly and positively associated with their self-efficacy for student engagement. On the other hand, negative associations were found between performance avoidance goals (β = .16) and self-efficacy for student engagement.

Table 10. Direct effects on self-efficacy for student engagement

Results also showed that personality and academic self-regulation accounted for 23 % of variance in self-efficacy for instructional strategies (see Table 11). With respect to academic self-regulation variables, performance avoidance goals (β = .05), and metacognitive self-regulation (β = .12) were found to be significantly related to pre-service science teachers’ self-efficacy for instructional strategy. In contrast, control of learning beliefs (β = .08), and effort regulation (β = .07) were significantly linked to teacher self-efficacy for instructional strategies.

Table 11. Direct effects on self-efficacy for instructional strategies

Finally, results demonstrated that personality and academic self-regulation accounted for 23 % of variance in self-efficacy for classroom management (see Table 12). Concerning self-regulation variables, it was observed that mastery approach goals (β = .48) and performance approach goals (β = .29) were found to have significant effect on pre-service science teachers’ self-efficacy for this dimension. On the other hand, results showed that performance avoidance goals (β = −.07), task value (β = .07), and peer learning (β = .05) were negatively related to self-efficacy for classroom management.

Table 12. Direct effects on self-efficacy for classroom management

Relationships between Personality and Teacher Self-Efficacy

Concerning the relationship between pre-service science teachers’ personality and their self-efficacy, the results demonstrated that consciousness (β = .09), agreeableness (β = .13) were significantly associated with pre-service science teachers’ self-efficacy for student engagement (see Table 9). On the other hand, negative associations were found between extraversion (β = .10), openness (β = .06) and self-efficacy for student engagement.

Concerning the self-efficacy for instructional strategies, neuroticism (β = .07), agreeableness (β = .36) predicted this dimension that having higher level of neuroticism (i.e. anxiety, angry hostility, depression, self-consciousness, impulsiveness, and vulnerability) and agreeableness (i.e., trust, straightforwardness, altruism, compliance, and tender-mindedness) lead to higher teachers’ beliefs in their capability to apply many of the instructional strategies (see Table 11). On the contrary, consciousness (β = .06), and openness (β = −.14) were significantly linked to teacher self-efficacy for instructional strategies.

When examining the direct paths to the self-efficacy for classroom management, it was observed that neuroticism (β = .04), openness (β = .04), and agreeableness (β = .05) were found to have significant effect on pre-service science teachers’ self-efficacy for this dimension (see Table 12).

Discussion

The Relationship between Personality and Teacher Self-Efficacy

The main purpose of the present study was to examine the relationship among pre-service science teachers’ personality, academic self-regulation and teaching self-efficacy. Concerning the relationship between pre-service science teachers’ personality and their teaching self-efficacy, it was predicted that extraversion, openness, agreeableness, and conscientiousness were positively linked to pre-service science teachers’ sense of efficacy. However, only agreeableness was found to be positively associated with all dimensions of teaching self-efficacy. On the other hand, while conscientiousness was found to be positively related to only self-efficacy for student engagement, openness was found to be positively linked to only self-efficacy for classroom management. These findings suggested that pre-service science teachers scoring high on conscientiousness (i.e. having high aspiration levels, working hard to realize their goals, persisting in the face of difficulties, and being well-organized) are likely to have higher levels of self-efficacy for improving the understanding of failing students, getting through to the most difficult students, and motivating students with low interest in schoolwork. Moreover, pre-service science teachers with higher levels of active imagination, aesthetic sensitivity, receptivity to inner feelings, preference for variety and novelty, intellectual curiosity, and independence of judgments (i.e. openness) appear to have higher levels of self-efficacy for controlling disruptive behaviors in the classroom and establishing a classroom management system with each group of students. However, contrary to the predictions, openness was found to be negatively associated with self-efficacy for student engagement and self-efficacy for instructional strategies. This finding can be partly explained by Turkish culture. In Turkey, education and thus teachers are highly respected. Teachers are expected to be good models for students with their socially approved behaviors in line with traditional values. Therefore, pre-service science teachers who tend to enjoy novel experiences and consider unconventional ideas may think that, as a teacher, they may not meet the expectations set by society (i.e., families, school administration, and colleagues). For example, one of the items in the self-efficacy for student engagement dimension of the TSES was “to what extent can you assist families in helping their children do well in school?” While 35 % of the pre-service science teachers below the median openness score were found to state “a great deal” (i.e. selected 8 or 9 in the nine-point scale) for this item, only 26 % of those above the median were found to select these higher ends of the scale. This finding may suggest that if pre-service science teachers believe that they have personalities which may not be compatible with social values and norms, their self-efficacy to cooperate with families to enhance student engagement in learning may be lower compared to closed pre-service science teachers who honor tradition. However, at this point it should be noted that the abovementioned explanations are speculative and should be elaborated through the use of qualitative data collection procedures, such as interviews, to make more valid interpretations of the findings.

Another unexpected relationship was observed between conscientiousness and self-efficacy for instructional strategies. The direction of the relationship between these two variables was found to be negative. This finding could be due to the fact that individuals scoring high on conscientiousness are well-organized and tend to think carefully before acting. However, pre-service science teachers with such traits may think that although they are well-organized and well-prepared for their classes, something unexpected could occur in the classroom that they did not consider beforehand and, therefore, in such a situation, it may be difficult to think and act effectively without a pre-determined plan. Such a thought could lower their self-efficacy, for instance, for responding to difficult questions from their students or providing an alternative example or explanation when students become confused.

Moreover, a negative relationship was unexpectedly determined between extraversion and self-efficacy for student engagement. Since teaching involves interpersonal relations, it was predicted that pre-service science teachers who are sociable, assertive, talkative, and active have high levels of self-efficacy for student engagement. On the other hand when examining the effect of extraversion on pre-service science teachers’ teaching self-efficacy through extraversion’s effect on performance approach goals, it was found that there was a positive relationship between extraversion performance approach goals, which was also positively linked to self-efficacy for student engagement and classroom management. Therefore, the indirect effect of extraversion mediated by performance approach goals on teaching self-efficacy appears to be positive.

Results of the path analysis regarding pre-service science teachers’ personality and their teaching self-efficacy also unexpectedly revealed that there were positive associations between neuroticism and all dimensions of teaching self-efficacy. However, since negative effects such as embarrassment, guilt, and anger are the core of the neuroticism, it was predicted that neuroticism is negatively linked to teaching self-efficacy. The unexpected result concerning the relationship between neuroticism and pre-service science teachers’ sense of efficacy can be also partly explained by the Turkish context. In the present study, descriptive statistics revealed that pre-service science teachers have high levels of neuroticism. These data were obtained from pre-service science teachers who are to graduate at the end of the academic year. In Turkey, people go through very competitive processes to obtain jobs. Graduated teachers must take national exams to potentially obtain opportunities to work in public schools. Teachers are ranked according to their exam scores and those with the highest grades are appointed to a job. Similarly, getting a job in private schools is a difficult task for teachers. They have to demonstrate that they are highly qualified teachers with high a grade point average (GPA) and good interpersonal relations. Most private schools seek experienced teachers. For this reason, newly graduated teachers may not have high hopes finding jobs in those schools. Actually, this competitive culture starts in students’ early years of school in Turkey. Starting in 6th grade, students must take national exams in order to attend highly recognized high schools and universities. Since graduating from top schools and universities can help them get better jobs and become more optimistic about their future, students compete with one other to be successful on these exams. In addition, since students’ GPA in school contributes to their national exam scores, they must also try to get higher scores compared to others in classroom exams (Sungur & Senler, Reference Sungur and Senler2009). Therefore, people experience a competitive life driven by the worry about their future. So, is not unusual that pre-service science teachers feel dependent, hopeless, sad, and worried at high levels. Moreover, it appears that negative affects experienced in such an environment act as a motive for the individuals: As neuroticism increases, teaching self-efficacy increases. Similarly, neuroticism is found to be positively related to different components of self-regulation, including mastery approach goals, performance approach goals, mastery avoidance goals, metacognition, and effort regulation. Additionally, pre-service science teachers with higher levels of neuroticism were found have lower levels of test anxiety. These findings provide a support to the evidence in the literature that neuroticism can improve effort regulation and motivation, as is in the case of defensive pessimism by which worried people, in expecting failure, put forth efforts to prevent it (Bidjerano & Dai, Reference Bidjerano and Dai2007; Norem & Cantor, Reference Norem and Cantor1986).

Relationship between Academic Self-Regulation and Self-Efficacy

Concerning the relationship between pre-service science teachers’ academic self-regulation and their teaching self-efficacy, results showed that metacognition and performance approach goals were positive predictors of pre-service science teachers’ self-efficacy in all three dimensions, namely self-efficacy for student engagement, self-efficacy for instructional strategies, and self-efficacy for classroom management. Although the relationship between performance approach goals and self-efficacy for instructional strategies and between metacognition and self-efficacy for classroom management were not statistically significant, the direction of the relationship was positive. These findings suggested that pre-service science teachers who use metacognitive skills like planning, monitoring, and evaluating in their own learning and study for the reasons of showing their abilities to others, getting a good grade or looking smart tend to have higher levels of teaching self-efficacy. Similarly, Bembenutty (Reference Bembenutty2007) demonstrated that pre-service teachers who use effectively metacognitive strategies like planning, self-monitoring, and self-evaluating of their own academic progress tend to have a high sense of teaching efficacy.

On the other hand, concerning the motivational component of self-regulation, task value beliefs were found unexpectedly to be negatively related to adaptive outcomes such as self-efficacy for classroom management, mastery approach goals, performance approach goals, and metacognition. These findings are contrary to the findings in the literature (Ablard & Lipschultz, Reference Ablard and Lipschultz1998; Neber & Schommer-Aikins, Reference Neber and Schommer-Aikins2002), except for Araz and Sungur’s (Reference Sungur2007) study in which a negative relationship was found between task value beliefs and the use of learning strategies resulting in deeper processing of information and achievement. Araz and Sungur (Reference Sungur2007) suggested that using the MSLQ to assess task value beliefs can be problematic since the sub-scale designed to measure this construct includes three sub-components, namely importance value, utility value, and intrinsic interest. Among these sub-components of task value beliefs, utility value is thought to be associated with extrinsic motivation, which is generally found to be negatively linked to adaptive outcomes (Wigfield & Eccles, Reference Wigfield and Eccles2000). For this reason, according to Araz and Sungur (Reference Sungur2007), while proposing conceptual models, it may be better to include these sub-components separately rather than combining them with overall task value beliefs

Relationship between Pre-Service Science Teachers’ Personality, Academic Self-Regulation and Self-Efficacy

Regarding the relationship between personality and different facets of self-regulation, agreeableness and conscientiousness were found to be mainly associated with adaptive outcomes as well as neuroticism. The observed relationships for conscientiousness and agreeableness were, in general, consistent with the relevant literature (Bidjerano & Dai, Reference Bidjerano and Dai2007; Chamorro-Premuzic & Furnham, Reference Chamorro-Premuzic and Furnham2003; Komarraju & Karau, Reference Komarraju and Karau2005). On the other hand, the relationship between extraversion and different components of self-regulation was found to be non-significant except for performance approach goals and metacognition. More specifically, while a positive association was found between extraversion and performance approach goals, the link between extraversion and metacognition was negative. The reason for the negative relation found between extroversion and metacognition may be that, as suggested by Bidjerano and Dai (Reference Bidjerano and Dai2007), impulsiveness, sociability, and distractibility implied by the construct of extraversion can preclude pre-service science teachers from effectively using metacognitive strategies and regulating their learning.

Concerning the relationship among different components of self-regulation, results showed that mastery approach goals and peer learning were positively associated with metacognition. Moreover, a positive relation was found between metacognition and effort regulation. These results were in congruence with the findings in the literature (Sungur, Reference Sungur2007). However, contrary to the relevant theory and literature, control of learning beliefs were found to be negatively linked to metacognition and effort regulation. These findings implied that pre-service science teachers who think that outcomes rely on one’s own effort rather than external factors are less likely to study strategically and persist longer in the face of difficulties. The reason for this finding may be that students in typical classrooms in Turkey are instructed mainly by lecture and discussion methods. Students depend on the notes and handouts taken in lectures to study for the exams (Gencer & Cakiroglu, Reference Gencer and Cakiroglu2007). For this reason, pre-service science teachers who have gone through such an educational system may think that effort means memorizing teacher explanations and handouts. Thus, if effort is conceptualized in this way, it is not unusual to find that control of learning beliefs is negatively linked to adaptive outcomes. However, to be able to obtain more valid explanations for these findings concerning control of learning beliefs, it is suggested that future studies examine these beliefs in relation to contextual factors using qualitative data collection procedures.

Implications

The present study showed that self-regulation and teaching self-efficacy have important personality correlates. Given the stability of personality traits, it is suggested that teacher education programs consider the personality disposition each pre-service science teacher brings to the learning environment (Bidjerano & Dai, Reference Bidjerano and Dai2007). In the present study, personality was used as a predictor variable. However, in future studies, the mediating role of personality on pre-service science teachers’ self-efficacy and self-regulation can be examined through experimental studies in which they are exposed to treatments designed to improve their teaching self-efficacy and academic self-regulation. Then, using personality variables as mediators, researchers can examine whether certain personality traits promote or hinder the development of self-efficacy beliefs and self-regulatory skills (Bidjerano & Dai, Reference Bidjerano and Dai2007).

In addition, it is suggested that teacher education programs are structured so that pre-service science teachers as learners become aware of their own learning and use effective metacognitive strategies. In order to achieve this end, pre-service science teachers should experience learning environments where they deal with open-ended and challenging tasks (Paris & Paris, Reference Paris and Paris2001). Additionally, instructors can be trained in using and demonstrating self-regulatory strategies to serve as social models for the pre-service science teachers (Dembo, Reference Dembo2001).

Limitations and Recommendations

There are some limitations of the current study that should be considered while interpreting the result. The first limitation is related to the measurement of the constructs. This study relies solely on the self-report data. This can lead to common method bias about verifying consistency and accuracy of the findings. In order to get an in-depth understanding of the observed relationships and provide better explanations, qualitative approach may be employed in future studies. Such an approach can help determine to what extent the unexpected findings can be explained by culture. In line with this idea, the study can be replicated in different cultures. The second limitation concerns the generalizability of findings. The subject of this study was limited to the senior pre-service science teachers from selected universities in Turkey. Therefore, results may not be generalized to other countries and cultural contexts. Additionally this study may be replicated with a larger sample which includes also freshman, sophomore, and junior pre-service science teachers to be able to determine whether teaching self-efficacy differs across grade levels. Longitudinal studies can help examination of the changes in pre-service science teachers’ self-efficacy beliefs during their education. Another limitation is related to the method and data analysis technique utilized in the current study. Since a cross-sectional design is used, observed relationships in the path model do not imply causality. Finally, in the present study, for some variables, the percentage of variance explained was low. In order to improve the proposed model, additional variables, such as those related to sources of teaching self-efficacy (i.e. mastery experience, verbal persuasion, and vicarious experience) and biographical variables, can be integrated to the model.

References

Ablard, K. E., & Lipschultz, R. E. (1998). Self-regulated learning in high-achieving students: Relations to advanced reasoning, achievement goals, and gender. Journal of Educational Psychology, 90(1), 94101. http://dx.doi.org/10.1037//0022-0663.90.1.94 CrossRefGoogle Scholar
Ames, C., & Archer, J. (1988). Achievement goals in the classroom: Student learning strategies and motivation processes. Journal of Educational Psychology, 80, 260267. http://dx.doi.org/10.1037//0022-0663.80.3.260 Google Scholar
Anderson, R. N., Greene, M. L., & Loewen, P. S. (1988). Relationships among teachers’ and students’ thinking skills, sense of efficacy, and student achievement. The Alberta Journal of Educational Research, 34, 148165.Google Scholar
Araz, G., & Sungur. (2007). The interplay between cognitive and motivational variables in a problem-based learning environment. Learning and Individual Differences, 17(4), 291297. http://dx.doi.org/10.1016/j.lindif.2007.04.003 CrossRefGoogle Scholar
Ashton, P. T., & Webb, R. B. (1986). Making a difference: Teachers’ sense of efficacy and student achievement. New York, NY: Longman.Google Scholar
Barrick, M. R., & Mount, M. K. (1991). The Big Five personality dimensions and job performance: A meta analysis. Personnel Psychology, 44(1), 126. http://dx.doi.org/10.1111/j.1744-6570.1991.tb00688.x CrossRefGoogle Scholar
Bembenutty, H. (2006, August). Teachers’ self-efficacy beliefs, self-regulation of learning, and academic performance. Paper presented at the annual meeting of the American Psychological Association. New Orleans, LA.CrossRefGoogle Scholar
Bembenutty, H. (2007, April). Preservice teachers’ motivational beliefs and self-regulation of learning. Paper presented at the annual meeting of the American Educational Research Association, Chicago, IL.Google Scholar
Bidjerano, T., & Dai, D. Y. (2007). The relationship between the big-five model of personality and self-regulated learning strategies. Learning and Individual Differences, 17 (1), 6981. http://dx.doi.org/10.1016/j.lindif.2007.02.001 Google Scholar
Blickle, G. (1996). Personality traits, learning strategies, and performance. European Journal of Personality, 10, 337352. http://dx.doi.org/10.1002/(SICI)1099-0984(199612)10:5<337::AID-PER258>3.3.CO;2-Z Google Scholar
Cakiroglu, J., Cakiroglu, E., & Boone, W. J. (2005). Pre-service teacher self-efficacy beliefs regarding science teaching: A comparison of pre-service teachers in Turkey and the USA. Science Educator, 14(1), 3140.Google Scholar
Çapa, Y., Çakıroğlu, J., & Sarıkaya, H. (2005). The development and validation of a Turkish version of the teachers’ sense of efficacy scale. Eğitim ve Bilim, 30(137), 7481.Google Scholar
Caprara, G. V., Barbaranelli, P. S., Steca, P., & Malone, P. S. (2006). Teachers’ self-efficacy beliefs as determinants of job satisfaction and students’ academic achievement: A study at the school level. Journal of School Psychology, 44, 473490. http://dx.doi.org/10.1016/j.jsp.2006.09.001 Google Scholar
Chamorro-Premuzic, T., & Furnham, A. (2003). Personality predicts academic performance: Evidence from two longitudinal university samples. Journal of Research in Personality, 37, 319338. http://dx.doi.org/10.1016/S0092-6566(02)00578-0 Google Scholar
Coladarci, T. (1992). Teachers’ sense of efficacy and commitment to teaching. Journal of Experimental Education, 60, 323337. http://dx.doi.org/10.1080/00220973.1992.9943869 Google Scholar
Costa, P. T., & McCrae, R. R. (1991). Manual of Revised NEO Personality Inventory and NEO Five-Factor Inventory. Odessa, FL: Psychological Assessment Resources.Google Scholar
Costa, P. T. Jr., & McCrae, R. R. (1992). Normal personality assessment in clinical practice: The NEO Personality Inventory. Psychological Assessment, 4(1), 513. http://dx.doi.org/10.1037//1040-3590.4.1.5 CrossRefGoogle Scholar
Cousins, J. B., & Walker, C. A. (2000). Predictors of educators’ valuing of systemic inquiry in schools. Canadian Journal of Program Evaluation, (Special Issue), 2553.Google Scholar
Dembo, M. H. (2001). Learning to teach is not enough: Future teachers also need to learn how to learn. Teacher Education Quarterly, 28(4), 2335.Google Scholar
Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. In Fiske, S. T., Schacter, D. L., & Sahn-Waxler, C. (Eds.), Annual review of psychology (pp. 109132). Palo Alto, CA: Annual Reviews. http://dx.doi.org/10.1146/annurev.psych.53.100901.135153 Google Scholar
Elliot, A. J., & Church, M. A. (1997). A hierarchical model of approach and avoidance achievement motivation. Journal of Personality and Social Psychology, 72(1), 218232. http://dx.doi.org/10.1037//0022-3514.72.1.218 Google Scholar
Elliot, A. J., & McGregor, H. A. (2001). A 2x2 achievement goal framework. Journal of Personality and Social Psychology, 80, 501519. http://dx.doi.org/10.1037//0022-3514.80.3.501 CrossRefGoogle Scholar
Elliot, A. J., & Reis, H. T. (2003). Attachment and exploration in adulthood. Journal of Personality and Social Psychology, 85, 317331. http://dx.doi.org/10.1037/0022-3514.85.2.317 Google Scholar
Erdle, S., Murray, H. G., & Rushton, J. P. (1985). Personality, classroom, behavior, and college teaching effectiveness: A path analysis. Journal of Educational Psychology, 77, 394407. http://dx.doi.org/10.1037//0022-0663.77.4.394 Google Scholar
Gencer, A. S., & Cakiroglu, J. (2007). Turkish pre-service science teachers’ efficacy beliefs regarding science teaching and their beliefs about classroom management. Teaching and Teacher Education, 23, 664675. http://dx.doi.org/10.1016/j.tate.2005.09.013 CrossRefGoogle Scholar
Gibson, S., & Dembo, M. H. (1984). Teacher efficacy: A construct validation. Journal of Educational Psychology, 76, 569582. http://dx.doi.org/10.1037//0022-0663.76.4.569 Google Scholar
Gordon, S. C., Dembo, M. H., & Hocevar, D. (2007). Do teacher’s own learning behaviors influence their classroom goal orientation and control ideology? Teaching and Teacher Education, 23(1), 3646. http://dx.doi.org/10.1016/j.tate.2004.08.002 Google Scholar
Greenwood, G. E., Olejnik, S. F., & Parkay, F. W. (1990) Relationships between four teacher efficacy belief patterns and selected teacher characteristics. Journal of Research and Development in Education, 23(2) 102106.Google Scholar
Gulgoz, S. (2002). Five-Factor Model and NEO-PI-R in Turkey. In McCrae, R. R. & Allik, J. (Eds.), The Five-Factor Model of Personality across cultures (pp. 175196). New York, NY: Kluwer Academic / Plenum Publishers. http://dx.doi.org/10.1007/978-1-4615-0763-5_6 Google Scholar
Henson, R. K., & Chambers, S. M. (2003). Personality type as a predictor of teaching efficacy and classroom control in emergency certification teachers. Education, 124, 261268.Google Scholar
Hoy, A. W. (2004, April). What do teachers know about self-efficacy? Paper presented at the annual meeting of the American Educational Research Association. San Diego, CA.Google Scholar
Hoy, A. W., & Spero, R. B. (2005) Changes in teacher efficacy during the early years of teaching: A comparison of four measures. Teaching and Teacher Education, 21, 343356. http://dx.doi.org/10.1016/j.tate.2005.01.007 CrossRefGoogle Scholar
Isiksal, M., & Cakiroglu, E. (2005). Teacher efficacy and academic performance. Academic Exchange Quarterly, 9, 2833.Google Scholar
Jöreskog, K. G., & Sörbom, D. (1996). LISREL 8: User’s reference guide. Chicago, IL: Scientific Software International.Google Scholar
Judge, T. A., & Ilies, R. (2002). Relationship of personality to performance motivation: A meta-analytic review. Journal of Applied Psychology, 87, 797807. http://dx.doi.org/10.1037//0021-9010.87.4.797 Google Scholar
Katz, Y. J. (1992). Towards a personality profile of a successful computer-using teacher. Educational Technology, 32(2), 3940.Google Scholar
Klassen, R. M., & Chiu, M. M. (2010). Effects on teachers’ self-efficacy and job satisfaction: Teacher gender, years of experience, and job stress. Journal of Educational Psychology, 102, 741756. http://dx.doi.org/10.1037/a0019237 CrossRefGoogle Scholar
Klassen, R. M., Bong, M., Usher, E. L., Chong, W. H., Huan, V. S., Wong, I. Y. F., & Georgiou, T. (2009). Exploring the validity of the Teachers’ Self-Efficacy Scale in five countries. Contemporary Educational Psychology, 34(1), 6776. http://dx.doi.org/10.1016/j.cedpsych.2008.08.001 CrossRefGoogle Scholar
Knoblauch, D., & Hoy, A. (2008) Maybe I can teach those kids: The influence of contextual factors on student teachers’ efficacy beliefs. Teaching and Teacher Education, 24(1), 166179. http://dx.doi.org/10.1016/j.tate.2007.05.005 CrossRefGoogle Scholar
Koc, Y. (2011). An investigation on the effect of department and years spent in program on pre-service teachers’ mathematics teaching efficacy beliefs. Education and Science, 36, 213223.Google Scholar
Komarraju, M., & Karau, S. J. (2005). The relationship between the big five personality traits and academic motivation. Personality and Individual Differences, 39, 557567. http://dx.doi.org/10.1016/j.paid.2005.02.013 Google Scholar
Matthews, G., & Zeidner, M. (2004). Traits, states and the trilogy of mind: An adaptive perspective on intellectual functioning. In Dai, D. & Sternberg, R. J. (Eds.), Motivation, emotion, and cognition: Integrative perspectives on intellectual functioning and development (pp. 143174). Mahwah, NJ: Lawrence Erlbaum.Google Scholar
McCoach, D. B., & Siegle, D. (2003). Factors that differentiate underachieving gifted students from high achieving gifted students. Gifted Child Quarterly, 47, 144154. http://dx.doi.org/10.1177/001698620304700205 CrossRefGoogle Scholar
Mclnerney, D. M. (2008). The motivational roles of cultural differences and cultural identity in self-regulated learning. In Schunk, D. H. & Zimmerman, B. J. (Eds.), Motivation and selfregulated learning: Theory, research, and applications (pp. 369400). New York, NY: Taylor & Francis Google Scholar
Meece, J., Blumenfeld, P., & Hoyle, R. (1988). Students’ goal orientation and cognitive engagement in classroom activities. Journal of Educational Psychology, 80, 514523. http://dx.doi.org/10.1037//0022-0663.80.4.514 Google Scholar
Midgley, C., Feldlaufer, H., & Eccles, J. S. (1989). Student/teacher relations and attitudes toward mathematics before and after the transition to junior high school. Child Development, 60, 981992. http://dx.doi.org/10.1111/j.1467-8624.1989.tb03529.x Google Scholar
Neber, H., & Schommer-Aikins, M. (2002). Self-regulated science learning with highly gifted students: The role of cognitive, motivational, epistemological, and environmental variables. High Ability Studies, 13(1), 5974. http://dx.doi.org/10.1080/13598130220132316 Google Scholar
Norem, J. K., & Cantor, N. (1986). Defensive pessimism: Harnessing anxiety as motivation. Journal of Personality and Social Psychology, 51, 12081217. http://dx.doi.org/10.1037//0022-3514.51.6.1208 Google Scholar
Pajares, F. (1997). Current directions in self-efficacy research. In Maehr, M. & Pintrich, P. R. (Eds.), Advances in motivation and achievement (pp. 149). Greenwich, CT: JAI Press.Google Scholar
Paris, S. C., & Paris, A. H. (2001) Classroom applications of research on self-regulated learning. Educational Psychologist, 36, 89101. http://dx.doi.org/10.1207/S15326985EP3602_4 CrossRefGoogle Scholar
Pintrich, P. R., & De Groot, E. (1990) Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82 (1), 3340. http://dx.doi.org/10.1037//0022-0663.82.1.33 Google Scholar
Pintrich, P. R., & Schunk, D. H. (2002). Motivation in education: Theory, research, and applications. Columbus, OH: Merrill.Google Scholar
Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the motivated strategies for learning questionnaire. Educational and Psychological Measurement, 53, 801813. http://dx.doi.org/10.1177/0013164493053003024 Google Scholar
Risemberg, R., & Zimmerman, B. J. (1992). Self-regulated learning in gifted students. Roeper Review, 15 (2), 98101. http://dx.doi.org/10.1080/02783199209553476 Google Scholar
Savalei, V., & Bentler, P. M. (2006). Structural equation modeling. In Grover, R. & Vriens, M. (Eds.), The handbook of marketing research: Uses, misuses, and future advances (pp. 330364). Thousand Oaks, CA: Sage Publications. http://dx.doi.org/10.4135/9781412973380.n17 Google Scholar
Senler, B., & Sungur, S. (2007, November). Hedef yonelimi anketinin Türkçe’ye çevrilmesi ve adaptasyonu [Translation and adaptation of goal orientation questionnaire into Turkish]. Paper presented at the 1st National Elementary Education Conference, Ankara, Turkey.Google Scholar
Slaats, A., Van der Sanden, J., & Lodewijks, J. (1997, March). Relating personality characteristics and learning style factors grades in vocational education. Paper presented at the Annual Meeting of the American Educational Research Association, Chicago, IL.Google Scholar
Sungur, S. (2004). The implementation of problem-based learning in secondary school biology courses. Unpublished doctoral dissertation, Middle East Technical University, Ankara, Turkey.Google Scholar
Sungur, S. (2007). Modeling the relationships among students’ motivational beliefs, metacognitive strategy use, and effort regulation. Scandinavian Journal of Educational Research, 51, 315326. http://dx.doi.org/10.1080/00313830701356166 Google Scholar
Sungur, S., & Senler, B. (2009). An analysis of Turkish high school students’ metacognition and motivation. Educational Research and Evaluation, 15 (1), 4559. http://dx.doi.org/10.1080/13803610802591667 Google Scholar
Tschannen-Moran, M., Woolfolk-Hoy, A., & Hoy, W. K. (1998). Teacher efficacy: Its meaning and measure. Review of Educational Research, 68, 202248. http://dx.doi.org/10.2307/1170754 Google Scholar
Tschannen-Moran, M., & Woolfolk-Hoy, A. (2001). Teacher efficacy: Capturing an elusive construct. Teaching and Teacher Education, 17, 783805. http://dx.doi.org/10.1016/S0742-051X(01)00036-1 Google Scholar
Valle, A., Cabanach, R. G., Nunez, J. C., Gonzalez-Pienda, J., Rodriguez, S., & Pieniro, I. (2003). Cognitive, motivational, and volitional dimension of learning. Research in Higher Education, 44, 557580. http://dx.doi.org/10.1023/A:1025443325499 Google Scholar
Vanderstoep, S. W., Pintrich, P. R., & Fagerlin, A. (1996). Disciplinary differences in self-regulated learning in college students. Contemporary Educational Psychology, 21, 345362. http://dx.doi.org/10.1006/ceps.1996.0026 CrossRefGoogle ScholarPubMed
Vermetten, Y. J., Lodewijks, H. G., & Vermunt, J. D. (2001). The role of personality traits and goal orientations in strategy use. Contemporary Educational Psychology, 26, 149170. http://dx.doi.org/10.1006/ceps.1999.1042 CrossRefGoogle ScholarPubMed
Vrugt, A., & Oort, F. J. (2008). Metacognition, achievement goals, study strategies and academic achievement: Pathways to achievement. Metacogniton Learning, 3, 123146. http://dx.doi.org/10.1007/s11409-008-9022-4 CrossRefGoogle Scholar
Wang, M., & Erdheim, J. (2007). Does the five-factor model of personality related to goal orientation? Personality and Individual Differences, 43, 14931505. http://dx.doi.org/10.1016/j.paid.2007.04.024 Google Scholar
Wigfield, A., & Eccles, J. S. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, 25 (1), 6881. http://dx.doi.org/10.1006/ceps.1999.1015 Google Scholar
Woolfolk, A. E., & Hoy, W. K. (1990). Prospective teachers’ sense of efficacy and beliefs about control. Journal of Educational Psychology, 82 (1), 8191. http://dx.doi.org/10.1037//0022-0663.82.1.81 Google Scholar
YÖK, . (1998). Egitim fakultesi ogretmen yetistirme lisans programlari [Undergraduate teacher education programs of the faculties of education] . Ankara, Turkey: Author.Google Scholar
Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In Kaerts, M., Pintrich, P. R., & Zeidner, M. (Eds.), Handbook of Self-Regulation (pp. 1339). San Diego, CA: Academic Press. http://dx.doi.org/10.1016/B978-012109890-2/50031-7 Google Scholar
Figure 0

Figure 1. Model of the proposed relationships between self-efficacy, academic self-regulation, and personality traits.

Figure 1

Table 1. Reliability coefficients of the data collection instruments with sample items*

Figure 2

Table 2. Descriptive statistics

Figure 3

Table 3. Zero-order correlations

Figure 4

Figure 2. Conceptual model with significant path coefficients.

Figure 5

Table 4. Direct effects on mastery approach goals dimension of academic self-regulation

Figure 6

Table 5. Direct effects on performance approach goals dimension of academic self-regulation

Figure 7

Table 6. Direct effects on mastery avoidance goals dimension of academic self-regulation

Figure 8

Table 7. Direct effects on performance avoidance goals dimension of academic self-regulation

Figure 9

Table 8. Direct effects on metacognitive self-regulation goals dimension of academic self-regulation

Figure 10

Table 9. Direct effects on effort regulation and text anxiety goals dimension of academic self-regulation

Figure 11

Table 10. Direct effects on self-efficacy for student engagement

Figure 12

Table 11. Direct effects on self-efficacy for instructional strategies

Figure 13

Table 12. Direct effects on self-efficacy for classroom management