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18 - Actively Caring for Higher Education

from INTRODUCTION TO PART II - APPLICATIONS OF AC4P PRINCIPLES

Published online by Cambridge University Press:  05 March 2016

E. Scott Geller
By
Derek D. Reed ,
Bryan T. Yanagita ,
Amel Becirevic ,
Jason M. Hirst ,
Brent A. Kaplan ,
Ellie Eastes  and
Taylor Hanna
E. Scott Geller
Affiliation:
Virginia Polytechnic Institute and State University
Derek D. Reed
Affiliation:
University of Kansas Lawrence, KS
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Summary

I never teach my pupils, I only attempt to provide the conditions in which they can learn.

– Albert Einstein

Action needs to be taken to improve education in the United States. The United States ranked seventeenth among thirty-four Organizations for Economic Co-operation and Development (OECD) countries in the 2012 results of the Programme for International Student Assessment (PISA). The PISA is a standardized test of math, science, and reading comprehension skills, and is administered to more than five hundred thousand 15-year-olds internationally. At the forefront are students from China, Singapore, Korea, Japan, and Liechtenstein with mean PISA scores of 613, 573, 554, 536, and 535, respectively. With a mean score of 481, U.S. students scored significantly lower than the international average of 494, trailing Spain, the Russian Federation, and the Slovak Republic.

According to the OECD, the assessment gauges knowledge and skills of students, which helps policymakers target and set reasonable goals in their education systems. The disconcerting PISA score of U.S. 15-year-olds raises several questions: What underlying factors contribute to relatively poor academic performance in the United States? What can be done to improve academic performance? Is it too late?

We do not believe it's too late; but a solution requires a greater understanding of the activators and consequences that affect academic-related behavior.

In Declining by Degrees, Hersh and Merrow provide insight into possible reasons our American education system is failing. These include (a) the belief that college does nothing more than prepare students for a job; (b) the inability of educators to effectively communicate information to students; (c) the disconnection between supply and demand for available courses; (d) an emphasis on teaching to assessment exams; and (e) insufficient preparation for college, among other factors.

Despite these barriers, we believe principles of applied behavioral science (ABS) can provide guidance for students, parents, educators, and the community as a whole toward a brighter future for education in the United States and beyond.

A MODEL FOR IMPROVING THE COLLEGE EXPERIENCE

The activator-behavior-consequence (ABC) model of ABS has a long and rich history of improving students’ classroom performance. Instructors and researchers have demonstrated methods to improve class attendance and punctuality, ways to improve course structure so students can allocate more time for studying, and approaches to enhancing students’ ability to take notes during class lectures.

Type
Chapter
Information
Applied Psychology
Actively Caring for People
 , pp. 563 - 593
Publisher: Cambridge University Press
Print publication year: 2016

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References

1. OECD. (2012). Programme for International Student Assessment (PISA). Retrieved July 23, 2015 from http://www.oecd.org/pisa/keyfindings/pisa-2012-results.htm.
2. Hersh, R. H., & Merrow, J. (Eds.). (2005). Declining by degrees: Higher education at risk. New York: Macmillan.
3. Gardner III, R., Sainato, D. M., Cooper, J. O., Heron, T. E., Heward, W. L., Eshleman, J. W., et al. (1994). Behavior analysis in education: Focus on measurably superior instruction. Belmont, CA: Thomson Brooks/Cole; Geller, E. S. (Ed.). (2014). Actively Caring for People: Cultivating a culture of compassion (4th ed.). Newport, VA: Make-A-Difference, LLC. Geller, E. S. (2014). (Ed.). Actively caring at your school: How to make it happen (2nd ed.). Newport, VA: Make-A-Difference, LLC.
4. Bicard, D. F., Lott, V., Mills, J., Bicard, , & Baylot-Casey, L. (2012). Effects of text messaged self-monitoring on class attendance and punctuality of at-risk college student athletes. Journal of Applied Behavior Analysis, 45, 205–210.CrossRefGoogle Scholar
5. Neef, N. A., Perrin, C. J., Haberlin, A. T., & Rodrigues, L. C. (2011). Studying as fun and games: Effects on college students’ quiz performance. Journal of Applied Behavior Analysis, 44, 897–901.CrossRefGoogle Scholar
6. Neef, N. A., McCord, B. E., & Ferreri, S. J. (2006). Effects of guided notes versus completed notes during lectures on college students’ quiz performance. Journal of Applied Behavior Analysis, 39, 123–130.CrossRefGoogle Scholar
7. Geller, E. S. (Ed.). (2014). (Actively Caring for People: Cultivating a culture of compassion (4th ed.). Newport, VA: Make-A-Difference, LLC.
8. Becker, W. C., & Carnin, D. (1981). Direct instruction: A behavior theory model for comprehensive educational intervention with the disadvantaged. In Bijou, S. W. & Ruiz, R. (Eds.). Behavior modification: Contributions to education(pp. 145–210). Hillsdale, NJ: Lawrence Erlbaum; Engelmann, S. (2007). Teaching needy kids in our backward system. Atlanta: ADI.
9. Stebbins, L. B., St. Pierre, R. G., & Proper, E. C. (1977). Education as experimentation: A planned variation model, Vols. IVA &IVB. Cambridge, MA:Abt Associates, p. xxxiii.
10. Grossen, B. (1996). Overview: The story behind Project Follow Through. Effective School Practices, vol. 15, n. 1. Retrieved July 23, 2015 from http://darkwing.uoregon.edu/~adiep/ft/grossen.htm.
11. Adams, G. (1996). Project Follow Through: In-depth and beyond. Effective School Practices, vol. 15, n. 1. Retrieved July 23, 2015 from http://pages.uoregon.edu/adiep/ft/adams.htm.
12. Becker, W. C. (1978). National evaluation of follow through: Behavior-theory- based programs come out on top. Education and Urban Society, 10, 431–458.CrossRefGoogle Scholar
13. Becker, W., & Carnine, D. (1981). Direct Instruction: A behavior theory model for comprehensive educational intervention with the disadvantaged. In Bijou, S. & Ruiz, R. (Eds.). Contributions of behavior modification in education (pp. 1–106). Hillsdale, NJ: Laurence Erlbaum.
14. Bushell, D. (1978). An engineering approach to the elementary classroom: The behavior analysis follow-through project. In Catania, A. C. & Brigham, T. A. (Eds.). Handbook of applied behavior analysis (pp. 525–563). New York: Irvington.
15. Watkins, C. L. (1996). Follow through: Why didn't we?Effective School Practices, Vol. 15, No. 1. Retrieved July 23, 2015 from http://pages.uoregon.edu/adiep/ft/watkins.htm.Google Scholar
16. Engelmann, S., & Carnine, D. (1982). Theory of instruction: Principles and applications. New York: Irvington Press.
17. Skinner, B. F. (1961). Why we need teaching machines. Harvard Educational Review, 31, 377–398.CrossRefGoogle Scholar
18. Boyce, T. E., & Hineline, P. N. (2002). Interteaching: A strategy for enhancing the user-friendliness of behavioral arrangements in the college classroom. Behavior Analyst, 25, 215–226.CrossRefGoogle Scholar
19. Engelmann, S., Becker, W. C., Carnine, D., & Gersten, R. (1988). The direct instruction follow through model: Design and outcomes. Education and Treatment of Children, 11, 303–317.Google Scholar
20. Gersten, R., Carnine, D., & White, W. (1984). The pursuit of clarity: Direct instruction and applied behavior analysis. In Heward, W. L., Heron, T. E., Hill, D. S., & Trapp-Porter, J. (Eds.). Focus on behavior analysis in education (pp. 38–57). Columbus, OH: Merrill.
21. Skinner, B. F. (1958). Teaching machines. Science, 128, 969–977.CrossRefGoogle Scholar
22. Benjamin, Jr., L. T. (1988). A history of teaching machines. American Psychologist, 43, 703–712.CrossRefGoogle Scholar
23. Skinner, B. F. (1986). Programmed instruction revisited. Phi Delta Kappan, 68, 103–110.Google Scholar
24. Reboy, L. M., & Semb, G. B. (1991). PSI and critical thinking: Compatibility or irreconcilable differences?Teaching of Psychology, 18, 212–215.Google Scholar
25. Keller, F. S. (1968). “Goodbye, Teacher …” Journal of Applied Behavior Analysis, 1, 79–89.CrossRefGoogle Scholar
26. McGaw, D. (1975). Personalized system of instruction. Paper presented at the annual meeting of the American Political Science Association. San Francisco: McGaw.
27. Kemp, J. (1971). Instructional design. Belmont, CA: Fearon.
28. Geller, E. S. (Ed.). (2014). Actively Caring for People: Cultivating a culture of compassion (4th ed.). Newport, VA: Make-A-Difference, LLC; Geller, E. S. (Ed.). (2014). Actively caring at your school: How to make it happen (2nd ed.). Newport, VA: Make-A-Difference, LLC.
29. Reed, D. D., Hirst, J. M., Kaplan, B. A. & Becirevic, A. (2014). The AC4P Movement at the University of Kansas. In Geller, E. S. (Ed.). Actively caring at your school: How to make it happen (2nd ed.). Newport, VA: Make-A-Difference, LLC.
30. Graf, S., & Lindsley, O. R. (2002). Standard celeration charting. Poland, OH: Graf Implements.
31. Shaffer, D. M., & Collura, M. J. (2009). Evaluating the effectiveness of a personal response system in the classroom. Teaching of Psychology, 36, 273–277.CrossRefGoogle Scholar
32. Mayer, R. E., Stull, A., DeLeeuw, K., Almeroth, K., Bimber, B., Chun, D., et al. (2009). Clickers in college classrooms: Fostering learning with questioning methods in large lecture classes. Contemporary Educational Psychology, 34, 51–57.CrossRefGoogle Scholar
33. Mueller, P. A., & Oppenheimer, D. M. (2014). The pen is mightier than the keyboard: Advantages of longhand over laptop note taking. Psychological Science, 25, 1159–1168.CrossRefGoogle Scholar
34. Sana, F., Weston, T., & Cepeda, N. J. (2013). Laptop multitasking hinders classroom learning for both users and nearby peers. Computers & Education, 62, 24–31.CrossRefGoogle Scholar

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