This study examines English Medium Instruction (EMI) teacher identities in two Colombian universities within the context of the country's linguistic diversity and sociopolitical shifts. It highlights the educational preference for English over indigenous languages and the contentious introduction of EMI and Content and Language Integrated Learning (CLIL). The research focuses on the identity (re)configurations of EMI educators within this evolving landscape, influenced by both personal and broader sociopolitical factors. Utilizing a qualitative approach, the study examines seven professors across disciplines to capture their experiences with EMI. The findings underscore the complexity of EMI teacher identity (EMITI), which intersects language, discipline, context, and pedagogy. The ROAD-MAPPING framework facilitates an exploration of these identities, highlighting the critical role of teacher agency in EMI settings. The research illuminates how EMI teachers navigate their roles amid global and local pressures, disciplinary demands, and the linguistic aspects of EMI. This study enriches the understanding of language policy, teacher identity, and educational practices in multilingual higher education contexts.

This chapter examines the ideologies of language use in the context of an EMI university in multilingual Hong Kong from the perspectives of a group of international students. Based on the findings of the study, the chapter shows that international students’ ideologies of language use in the EMI university classroom are much more complex and nuanced than what is written in the institution’s official language policy documents. The majority of international students are found to hold ideologies of English as the default language for university education and English monolingualism as the norm in the EMI classroom. However, there is also evidence of varying degrees of acceptability of multilingual language practices in the classroom. The chapter draws attention to the complex ways in which international students’ language ideologies intersect with their concerns about social exclusion, linguistic disadvantage and educational inequality in the EMI classroom. It also demonstrates how their language ideologies contribute to sustaining and reproducing linguistic hegemony and social injustice in EMI higher education.

This chapter reports on ethnographic research carried out in an EMI course in an Italian higher education institution. The chapter starts with a brief overview of the recent, contested growth of EMI in Italy and a critical analysis of national policy documents to unveil the ideological underpinnings of EMI in this sociocultural context. This is followed by the presentation and discussion of findings of ethnographic research carried out over three years in a course designed to promote critical language awareness in an EMI context. The study looks at how students’ ideologies of language interact with those identified at the macro and meso levels, first of all by exploring the language portraits and biographies of a class of students at the beginning of their English-Taught Programme. This is followed by a more in-depth analysis of the portraits and biographies of three students who were interviewed one year later. This provides a longitudinal dimension to the research and insights into the changing nature of language ideologies and also linguistic repertoires.

Questionnaire survey is among the main research instruments for data collection, where participants are required to respond by selecting from existing options or writing out answers. With the availability of easy-to-use online survey platforms that enhancing research efficiency in terms of time, cost, and access to participants, scholars have brought to bear a large number of questionnaire survey-based approaches to researching English Medium Instruction (EMI), putting stakeholders’ perspectives under the microscope. This chapter discusses how to plan and conduct a questionnaire survey study in EMI. Starting with the definition of questionnaire survey, this chapter centers on some key issues related to its use in EMI research, such as the selection of a sample frame, as well as design and distribution of questionnaire design. These issues are then exemplified in the subsequent case study of the acceptability and usefulness of collaborative writing activities in promoting university students’ online engagement.

This chapter elaborates on ways of carrying out a comprehensive review based on searching the research literature systematically in the context of English Medium Instruction (EMI). Teaching content subjects in English is now a growing phenomenon around the world. Many researchers, teacher educators and teachers want to read and understand the latest findings of studies on EMI. A systematic review, which ‘systematically’ locates all relevant studies, evaluates these studies’ findings and synthesizes the findings that have implications for teaching and learning in EMI, can provide numerous benefits to researchers and writers. First, it draws readers’ attention to different findings about the same issues in the literature, such as the use of native languages (L1) in EMI classrooms, translanguaging pedagogy (i.e. refer to a pedagogical process of utilizing more than one language in a classroom) and learning in EMI. It can also indicate whether a consensus exists on effective ways of teaching and learning in EMI classrooms. A well-structured systematic review in which writers follow existing review protocols reduces the potential bias inherent in synthesizing research. For example, some of the standard procedures that are agreed on in the research community (e.g., PRISMA guidelines) include review teams having diversified research expertise, inter-rater reliability checking, rigorous screening procedures, data extraction, and assessment of the quality of studies. These procedures can largely eliminate bias and offer the EMI research community authoritative information about gaps in the research that need to be filled. By examining the evidence in the research, they can highlight conflicting views on the same teaching issues in the context of EMI. In this chapter, we use a case study that explores the teaching and learning issues encountered by teachers and students in EMI science classrooms, introducing different approaches to carrying out research reviews, particularly reviews that use quantitative approaches, such as systematic quantitative reviews and meta-analyses. We outline the key steps when conducting a systematic review: (1) formulating the topic; (2) locating and screening the literature; (3) evaluating the data; (4) extracting the data and assessing the study quality; (5) analyzing the data; (6) interpreting the results; (7) presenting the results; and (8) writing up the review. The implications and limitations of writing a systematic review in the EMI context are discussed.

This chapter explores the use of one-way between-groups multivariate analysis of variance (MANOVA) to investigate the effects of gender on perceived English language ability challenges in an English Medium Instruction (EMI) university in Hong Kong. Contrasting with ANOVA which evaluates mean differences on one dependent variable, MANOVA evaluates if there are mean differences on two or more dependent variables. The two dependent variables used were perceived writing challenges and perceived speaking challenges. The independent variable was gender. We checked for univariate and multivariate outliers, homogeneity of variance-covariance matrices and normality and found no deviation from the standard parameters. The results show a significant difference between males and females in terms of the combined dependent variables, F (2, 75) = 3.444, p = 0.037, Wilks’ Lambda = 0.913 and partial eta squared = 0.087. When the dependent variable is analysed separately with reference to the Bonferroni adjusted alpha level of 0.025, a significant difference is only found between males and females in terms of the perceived speaking challenges, F (1, 75) = 6.658, p = 0.012, partial eta squared = 0.084. A closer examination of the mean score shows that females (M = 3.042, SD = 0.34) perceived speaking English to be more of a challenge than males did (M = 2.71, SD = 0.55). The findings are discussed in relation to teaching and learning in an EMI university.

Grammatical complexity has been considered as an important research construct closely related to second language (L2) writing development. Although theoretical models were developed to demonstrate what grammatical complexity is, few studies have been conducted to analyze how this construct is represented from an empirical perspective. This chapter presents a data-driven investigation on the representation of grammatical complexity with an exploratory factor analysis (EFA). The investigation is based on (1) a corpus of scientific research reports written by Hong Kong students in an English Medium Instruction (EMI) scientific English course, and (2) an EFA, which is a statistical approach to uncover an underlying structure of a phenomenon, which fits this research purpose well. A corpus has been built with the science writing from EMI undergraduate students in Hong Kong. After corpus cleaning, Second Language Syntactic Complexity Analyzer – a software – was applied to output the values of fourteen effective measures of grammatical complexity for running the EFA in SPSS, and a step-by-step instruction was described in the chapter. The final model includes three latent factors: clausal (subordination) complexity, nominal phrasal complexity, and coordinate phrasal complexity. This EFA model is generally consistent with the argument of investigating grammatical complexity as a multidimensional construct (Biber et al., 2011; Norris & Ortega, 2009). In the end, we highlighted the research and pedagogical implications that readers should pay attention to when the EFA is applied in other EMI contexts in the future.

Covariance-based SEM (CB-SEM) has become one of the most prominent statistical analysis techniques in understanding latent phenomena such as students and teachers’ perceptions, attitudes, or intentions and their influence on learning or teaching outcomes. This chapter introduces an alternative technique for SEM, variance-based partial least squares SEM (PLS-SEM), which has multiple advantages over CB-SEM in several situations commonly encountered in social sciences research. A case study in the English Medium Instruction (EMI) context is also demonstrated as an example to facilitate comprehension of the method. The chapter concludes with a discussion of potential applications for other EMI-related contexts and lines of inquiry.

Despite the enduring popularity of path analysis, there has been limited research in the context of English Medium of Instruction (EMI) to illustrate established theories. Moreover, researchers have yet to incorporate statistical data to refine the theoretical models and better elucidate the causal relationships between various factors that potentially influence students’ academic achievement. To fill this gap, this study aims to develop and analyze a well-fitted model that could account for contingent links between variables that directly and indirectly affect EMI students’ academic achievement in science. Drawing on survey data from eight EMI secondary schools in Hong Kong, the current study identified interplayed roles of students’ English proficiency, language use in science classroom, self-perceived English difficulty in the science classroom, and self-concept on science learning on science achievement by using path analysis – one of the structural equation modeling (SEM) models, which is also illustrated in Chapter 5 of the book.