Abstract
Instructional methods in higher education are changing in response to the growing popularity for distance learning courses. Investigating methods of instruction that will assist in the manner that coursework is taught in online courses is therefore a significant enterprise to research. Specifically, examining the relation between theory and practice in programs of teacher education where application is an integral part of the curriculum as well as students’ future career is of utmost importance. Instruction using the case study method enables instructors to involve their students with the realities of teaching using scenarios built around authentic educational dilemmas, where students can problem-solve varying outcomes and generate possible solutions from multiple theoretical viewpoints. Self-regulated learning has been consistently shown to be a fundamental component in the academic success of online learners. Existing research studies on distance learners has specifically shown mastery-approach goals to be predictive of self-regulated learning. This study found significant relationships between the use of authentic case studies in online preservice teaching, self-regulation, and mastery approach goals. Additionally, the results of this study also identified that the relationship between self-regulation and mastery approach goals was strengthened when using case studies that were authentic.
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Azevedo, R., & Cromley, J. G. (2004, August). Does training on self-regulated learning facilitate students’ learning with hypermedia? Journal of Educational Psychology, 96, 523–535. https://doi.org/10.1037/0022-0663.96.3.523
Adesope, O. O., Zhou, M., & Nesbit, J. C. (2015). Achievement goal orientations and self-reported study strategies as predictors of online studying activities. Journal of Educational Computing Research, 53(3), 436–458. https://doi.org/10.1177/0735633115603989
Ali, L., Hatala, M., Gašević, D., & Winne, P. H. (2014). Leveraging MSLQ data for predictingstudents achievement goal orientations. Journal of Learning Analytics, 1(3), 157–160. https://doi.org/10.18608/jla.2014.13.11
Allen, I. E., & Seaman, J. (2017). Digital compass learning: Distance education enrollment report 2017. Babson Survey Research Group.
Ames, C. (1992). Classrooms: Goals, structures, and student motivation. Journal of Educational Psychology, 84(3), 261–271. https://doi.org/10.1037/0022-0663.84.3.261
Anderman, E. M., & Dawson, H. (2011). Learning with motivation. Handbook of Research on Learning and Instruction. https://doi.org/10.4324/9780203839089.ch11
Artino, A. R., & Vermillion, J. R. (2007). Using achievement goal theory to predict adaptive outcomes in university students learning online. American Educational Research Association.
Averaging and Adding Variables with Missing Data in SPSS. (2008). The analysis factor. https://www.theanalysisfactor.com/averaging-andadding-variables-with-missing-data-in-spss/.
Bandura, A., & Schunk, D. H. (1981). Cultivating competence, self-efficacy, and intrinsic interest through proximal self-motivation. Journal of Personality and Social Psychology, 41(3), 586. https://doi.org/10.1037/0022-3514.41.3.586
Barak, M., Hussein-Farraj, R., & Dori, Y. J. (2016). On-campus or online: examining self-regulation and cognitive transfer skills in different learning settings. International Journal of Educational Technology in Higher Education, 13(1), 35. https://doi.org/10.1186/s41239-016-0035-9
Barnard, L., Lan, W. Y., To, Y. M., Paton, V. O., & Lai, S. L. (2009). Measuring self-regulation in online and blended learning environments. The Internet and Higher Education, 12(1), 1–6. https://doi.org/10.1016/j.iheduc.2008.10.005
Bong, M. (2009). Age-related differences in achievement goal differentiation. Journal of Educational Psychology, 101(4), 879–896. https://doi.org/10.1037/a0015945
Bradley, R. L., Browne, B. L., & Kelley, H. M. (2017). Examining the influence of self-efficacy and self-regulation in online learning. College Student Journal, 51(4), 518–530.
Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievementin online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1–13. https://doi.org/10.1016/j.iheduc.2015.04.007
Bruning, R., Siwatu, K. O., Liu, X., PytlikZillig, L. M., Horn, C., Sic, S., & Carslon, D. (2008). Introducing teaching cases with face-to-face and computer-mediated discussion: Two multi-classroom quasi-experiments. Contemporary Educational Psychology, 33, 299–326. https://doi.org/10.1016/j.cedpsych.2006.11.002
Camill, P. (2006). Case studies add value to a diverse teaching portfolio in sciencecourses. Journal of College Science Teaching, 36(2), 31.
Casotti, G., Beneski, J. T., & Knabb, M. T. (2013). Teaching physiology online: successful use of case studies in a graduate course. Advances in Physiology Education, 37(1), 65–69. https://doi.org/10.1152/advan.00159.2012
Chaplin, S. (2009). Assessment of the impact of case studies on student learning gains in an introductory biology course. Journal of College Science Teaching, 39(1), 72.
Chen, C., Jones, K. T., & Moreland, K. (2017). How online learning compares to the traditional classroom: measuring accounting course outcomes. The CPA Journal, 87(9), 44–47.
Ching, C. P. (2011). Pre-service teachers’ use of educational theories in classroom and behavior management course: A case based approach. Procedia-Social and Behavioral Sciences, 29, 1209–1217. https://doi.org/10.1016/j.sbspro.2011.11.355
Choi, I., Lee, S. J., & Kang, J. (2009). Implementing a case-based e-learning environment in a lecture-oriented anaesthesiology class: Do learning styles matter in complex problem solving over time? British Journal of Educational Technology, 40(5), 933–947. https://doi.org/10.1111/j.1467-8535.2008.00884.x
Chyung, S. Y. (2001). Systematic and systemic approaches to reducing attrition rates in online higher education. The American Journal of Distance Education, 15(3), 36–49. https://doi.org/10.1080/08923640109527092
Clayton, K., Blumberg, F., & Auld, D. P. (2010). The relationship between motivation, learning strategies and choice of environment whether traditional or including an online component. British Journal of Educational Technology, 41(3), 349–364. https://doi.org/10.1111/j.1467-8535.2009.00993.x
DeMarco, R., Hayward, L., & Lynch, M. (2002). Nursing students’ experiences with strategic approaches to case-based instruction: A replication and comparison study between two disciplines. Journal of Nursing Education, 41(4), 165–174. https://doi.org/10.1097/01.nep.0000000000000331
Dettori, G., Giannetti, T., & Persico, D. (2006). SRL in online cooperative learning: Implications for pre‐service teacher training. European Journal of Education, 41(3–4), 397–414.
Downing, K., Kwong, T., Chan, S. W., Lam, T. F., & Downing, W. K. (2009). Problem-based learning and the development of metacognition. Higher Education, 57(5), 609–621.
Elliot, A. J., & McGregor, H. A. (2001). A 2 × 2 achievement goal framework. Journal of Personality and Social Psychology, 80(3), 501.
Engle, R. A., & Faux, R. B. (2006). Towards productive disciplinary engagement of prospective teachers in educational psychology: Comparing two methods of case-based instruction. Teaching Educational Psychology, 1(2), 1–22.
Greene, B. A., Miller, R. B., Crowson, M., Duke, B. L., & Akey, K. L. (2004). Predicting high school students’ cognitive engagement and achievement: Contributions of classroom perceptions and motivation. Contemporary Educational Psychology, 29, 462–482. https://doi.org/10.1016/j.cedpsych.2004.01.006
Gonzalez-DeHass, A.R., Willems, P.P. & Vasquez-Colina, M. (2020). Case study instruction experiences in educational psychology and pre-service teachers’ achievement goals for learning. Teaching of Psychology. https://doi.org/10.1177/0098628320977267.
Gonzalez-DeHass, Willems, & Vasquez-Colina. (2014, February). How does the case study method of instruction relate to undergraduate students’ motivation and self-efficacy for learning educational psychology? Presented at the annual meeting of the Eastern Educational Research Association (EERA), Jacksonville, FL.
Gu, P., & Lee, Y. (2019). Promoting students’ motivation and use of SRL strategies in the web-based mathematics learning environment. Journal of Educational Technology Systems, 47(3), 391–410. https://doi.org/10.1177/0047239518808522
Impedovo, M. A. (2017). Investigated self-regulated learning in an online learning course for teacher students. Journal of Research in Social Sciences, 5(1), 12–21.
Kapp, F., Proske, A., & NarcissKo¨rndle, S. H. (2015). Distributing vs blocking learning questions in a web-based learning environment. Journal of Educational Computing Research, 51, 397–416. https://doi.org/10.2190/ec.51.4.b
Kember, D., Murphy, D., Siaw, I., & Yuen, K. S. (1991). Towards a causal model of student progress in distance education: Research in Hong Kong. American Journal of Distance Education, 5(2), 3–15. https://doi.org/10.1080/08923649109526742
Kim, H., & Hannafin, M. J. (2008). Situated case-based knowledge: An emerging framework for prospective teacher learning. Teaching and Teacher Education, 24, 1837–1845. https://doi.org/10.1016/j.tate.2008.02.025
Kramarski, B., & Michalsky, T. (2009). Investigating pre-service teachers’ professional growth in self-regulated learning environments. Journal of Educational Psychology, 101(1), 161–175. https://doi.org/10.1037/a0013101
Kustandi, C., Wargahadibrata, H., Fadhillah, D. N., & Suprayekti, N. (2020). Flipped classroom for improving self-regulated learning of pre-service teachers. International Journal of Interactive Mobile Technologies, 14(9), 110–127.
Lee, J., & Bonk, C. J. (2019). Integrating flipped learning with team-based learning in a pre-service teacher education course: Experiences and outcomes. International Journal on E-Learning, 18(1), 5–29.
Lee, K., & Choi, I. (2008). Learning classroom management through web-based caseinstruction: Implications for early childhood teacher education. Early Childhood Education Journal, 35(6), 495–503. https://doi.org/10.1007/s10643-008-0250-7
Liu, F., & Cavanaugh, C. (2011). Online core course success factors in virtual school: Factors influencing student academic achievement. International Journal of E-Learning, 10(4), 43–65.
Liu, J., Xiang, P., McBride, R. E., & Chen, H. (2019). Self-regulated learning strategies and achievement goals among pre-service physical education teachers. European Physical Education Review. https://doi.org/10.1177/1356336x19859602
Martinez, M. (2003). High attrition rates in e-learning: Challenges, predictors, and solutions. The E-Learning Developers’ Journal, 14(1), 1–9.
Meece, J. L. (1991). The classroom context and students’ motivational goals. In M. L. Maehr & P. R. Pintrich (Eds.), Advances in motivation and achievement (Vol. 7, pp. 261–285). JAI Press.
Middleton, M. J., Kaplan, A., & Midgley, C. (2004). The change in middle school students’ achievement goals in mathematics over time. Social Psychology of Education, 7, 289–311. https://doi.org/10.1023/b:spoe.0000037484.86850.fa
Middleton, M. J., & Midgley, C. (1997). Avoiding the demonstration of lack of ability: An underexplored aspect of goal theory. Journal of Educational Psychology, 89, 710–718. https://doi.org/10.1037/0022-0663.89.4.710
Neroni, J., Meijs, C., Leontjevas, R., Kirschner, P. A., & de Groot, R. H. (2018). Goal orientation and academic performance in adult distance education. International Review of Research in Open & Distance Learning, 19(2), 192–208.
Ng, C. (2006). The role of achievement goals in completing a course assignment: Examining the effects of performance-approach and multiple goals. Open Learning, 21, 33–48. https://doi.org/10.1080/02680510500472189
Ng, C. (2008). Multiple-goal learners and their differential patterns of learning. Educational Psychology, 28, 439–456. https://doi.org/10.1080/01443410701739470
Ng, C. (2017). Distance learners’ multiple goals, learning and achievement in different learning situations. Distance Education, 38(1), 37–58. https://doi.org/10.1080/01587919.2017.1298981
Nikolaki, E., Koutsouba, M., Lykesas, G., Venetsanou, F., & Savidou, D. (2017). The support and promotion of self-regulated learning in distance education. European Journal of Open, Distance and E-learning, 20(1). Retrieved from http://www.eurodl.org/?p=current&sp=brief&article=746.
Osborn, V. (2001). Identifying at-risk students in videoconferencing and Web-based distance education. The American Journal of Distance Education, 15(1), 41–54. https://doi.org/10.1080/08923640109527073
Parker, A. (2003). Identifying predictors of academic persistence in distance education. Usdla Journal, 17(1), 55–62.
Patterson, B., & McFadden, C. (2009). Attrition in online and campus degree programs. Online Journal of Distance Learning Administration, 12(2), 1–8.
Peck, L., Stefaniak, J. E., & Shah, S. J. (2018). The correlation of self-regulation and motivation with retention and attrition in distance education. Quarterly Review of Distance Education, 19(3), 1–80.
Perry, N. E., Phillips, L., & Hutchinson, L. (2006). Mentoring student teacher to support self-regulated learning. The Elementary School Journal, 106(3), 237–254. https://doi.org/10.1086/501485
Pintrich, P.R., Smith, D.A., Garcia, T., & McKeachie, W.J. (1991). A manual for the use of motivated strategies for learning questionnaire (MSLQ). In National center for research to improve postsecondary teaching and learning. University of Michigan.
Pintrich, P. R., Smith, D. A., Garcia, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the motivated strategies for learning questionnaire (MSLQ). Educational and Psychological Measurement, 53(3), 801–813.
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/brm.40.3.879
PytlikZillig, L. M., Horn, C. A., Bruning, R., Bell, S., Liu, X., Siwatu, K. O., Bodvarsson, M. C., Doyoung, K., & Carlson, D. (2011). Face-to-face versus computer-mediated discussion of teaching cases: Impacts on pre-service teachers’ engagement, critical analyses, and self-efficacy. Contemporary Educational Psychology, 36, 302–303. https://doi.org/10.1016/j.cedpsych.2011.07.002
Remedios, R., & Richardson, J. T. E. (2013a). Achievement goals and approaches to studying: Evidence from adult learners in distance education. Distance Education, 34(3), 271–289. https://doi.org/10.1080/01587919.2013.835776
Remedios, R., & Richardson, J. T. (2013b). Achievement goals in adult learners: Evidence from distance education. British Journal of Educational Psychology, 83(4), 664–685. https://doi.org/10.1111/bjep.12001
Schunk, D. H. (2012). Learning theories an educational perspective (6th ed.). Pearson.
Schunk, D. H., & Zimmerman, B. J. (2008). Motivation and self-regulated learning: Theory, research, and applications. Lawrence Erlbaum.
Senler, B., & Sungur-Vural, S. (2014). Pre-service science teachers’ use of self-regulation strategies. Procedia-Social and Behavioral Sciences, 152, 551–556. https://doi.org/10.1016/j.sbspro.2014.09.242
Shin, S., Brush, T. A., & Saye, J. W. (2019). Using technology-enhanced cases in teachereducation: An exploratory study in a social studies methods course. Teaching and Teacher Education, 78, 151–164. https://doi.org/10.1016/j.tate.2018.11.018
Snape, P., & Fox-Turnbull, W. (2013). Perspectives of authenticity: Implementation in technology education. International Journal of Technology and Design Education, 23(1), 51–68.
Sudzina, M. R. (1997). Case study as a constructivist pedagogy for teaching educational psychology. Educational Psychology Review, 9(2), 199–218.
Sun, Z., Xie, K., & Anderman, L. H. (2018). The role of self-regulated learning in students’ success in flipped undergraduate math courses. The Internet and Higher Education, 36, 41–53. https://doi.org/10.1016/j.iheduc.2017.09.003
Sungur, S., & Tekkaya, C. (2006). Effects of problem-based learning and traditional instruction on self-regulated learning. The Journal of Educational Research, 99(5), 307–317. https://doi.org/10.3200/joer.99.5.307-320
Thistlethwaite, J. E., Davies, D., Ekeocha, S., Kidd, J. M., MacDougall, C., Matthews, P., & Clay, D. (2012). The effectiveness of case-based learning in health professional education. A BEME systematic review: BEME Guide No. 23. Medical Teacher, 34(6), e421–e444. https://doi.org/10.3109/0142159x.2012.680939
Tsai, C.-W., & Shen, P.-D. (2013). Improving undergraduates’ experience of onlinelearning and involvement: An innovative online pedagogy. International Journal of Enterprise Information Systems, 9(3), 100–112. https://doi.org/10.4018/jeis.2013070105
Willems, P.P. & Gonzalez-DeHass, A.R. (2015, October) Developing self-regulated learners through collaborative online case discussion in educational psychology. Reflection Paper presented at the annual meeting of Cognition and Exploratory Learning in Digital Age (CELDA), Maynooth, Greater Dublin, Ireland.
Woody, M., Albrecht, S., Hines, T., & Hodgson, T. (1999). Directed case studies in baccalaureate nursing anatomy and physiology. Journal of Nursing Education, 38(8), 383–386.
Xu, D., & Xu, Y. (2019). The promises and limits of online higher education: Understanding howdistance education affects access, cost, and quality (p. 1). AEI Paper & Studies.
Zielinski, D. (2000). The lie of online learning. Training, 37(2), 38–40.
Zimmerman, B. J. (1989). A social cognitive view of self-regulated academic learning. Journal of Educational Psychology, 81(3), 329. https://doi.org/10.1037/0022-0663.81.3.329
Zimmerman, B. J. (1998). Developing self-fulfilling cycles of academic regulation: An analysis of exemplary instructional models. In D. H. Schunk & B. J. Zimmerman (Eds.), Self-regulated learning: From teaching to self-reflective practice (pp. 1–19). Guilford Publications.
Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41(2), 64–70. https://doi.org/10.1207/s15430421tip4102_2
Zhou, Y., & Wang, J. (2019). Goal orientation, learning strategies, and academic performance in adult distance learning. Social Behavior and Personality: An International Journal, 47(7), 1–20. https://doi.org/10.2224/sbp.8195
Zhu, Y., Au, W., & Yates, G. (2016). University students’ self-control and self-regulated learningin a blended course. The Internet and Higher Education, 30, 54–62. https://doi.org/10.1016/j.iheduc.2016.04.001
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Willems, P.P., Gonzalez-DeHass, A.R., Powers, J.R. et al. The role of authentic teaching cases and mastery approach goals in online pre-service teachers’ self-regulated learning. Education Tech Research Dev 69, 1003–1023 (2021). https://doi.org/10.1007/s11423-021-09972-9
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DOI: https://doi.org/10.1007/s11423-021-09972-9