Effect of Feedback with Video-based Peer Modeling on Learning and Self-efficacy

Authors

  • Wadi Eghterafi University of California, Los Angeles
  • Mary C. Tucker University of California, Los Angeles
  • Icy (Yunyi) Zhang University of California, Los Angeles
  • Ji Yun Son California State University, Los Angeles

DOI:

https://doi.org/10.24059/olj.v26i2.2732

Keywords:

Online learning, Video-based modeling, Feedback

Abstract

In this study, we examined the effect of video-based feedback designed to highlight a peer engaging in effective thinking processes on self-efficacy beliefs and learning outcomes (performance on a delayed quiz). Students in an introductory statistics course participated in an online learning activity where they received feedback in one of three randomly assigned conditions: a video of a peer demonstrating the process of arriving at a correct answer (mastery condition), a peer making mistakes then self-correcting those errors before arriving at a correct answer (coping condition), or a screenshot of a peer’s correct worked example (as a control). Results indicated that students who watched the mastery videos, but not the coping videos, rated their self-efficacy higher and scored higher on a class quiz taken more than a day after the feedback intervention than students who viewed a worked example. However, students in the two video conditions did not significantly differ in terms of either self-efficacy and quiz performance. The results of this study, although modest in scope, illustrate how the design of feedback could lead to noticeable differences in student learning.

References

Atkinson, R. K., Derry, S. J., Renkl, A., & Wortham, D. (2000). Learning from examples: Instructional principles from the worked examples research. Review of Educational Research, 70, 181-214. https://doi.org/10.3102/00346543070002181

Baldwin, T. T. (1992). Effects of alternative modelling strategies on outcomes of interpersonal-skills training. The Journal of Applied Psychology, 77, 147–154. https://doi.org/10.1037/0021-9010.77.2.147

Bandura, A., & McClelland, D. C. (1977). Social learning theory (Vol. 1). Prentice Hall: Englewood cliffs.

Braaksma, M. A. H., Rijlaarsdam, G., & Van den Bergh, H. (2002). Observational learning and the effects of model-observer similarity. Journal of Education & Psychology, 94, 405–415. https://doi.org/10.1037//0022-0663.94.2.405

Brown, N. C., & Wilson, G. (2018). Ten quick tips for teaching programming. PLoS Computational Biology, 14(4), e1006023. https://doi.org/10.1371/journal.pcbi.1006023

Delen, E., Liew, J., & Willson, V. (2014). Effects of interactivity and instructional scaffolding on learning: Self-regulation in online video-based environments. Computers & Education, 78, 312-320. https://doi.org/10.1016/j.compedu.2014.06.018

Gee, J. P. (2009). New digital media and learning as an emerging area and" worked examples" as one way forward (p. 92). The MIT Press

Geister, S., Konradt, U., & Hertel, G. (2006). Effects of process feedback on motivation, satisfaction, and performance in virtual teams. Small Group Research, 37(5), 459-489.

https://doi.org/10.1177/104696406292337.

Gibbs, G., & Simpson, C. (2004) Conditions under which assessment supports students’ learning, Learning and Teaching in Higher Education, 1, 3–31. http://www.glos.ac.uk/departments/clt/lathe/issue1/index.cfm.

Gibbs, G., Simpson, C., & Macdonald, R. (2003). Improving student learning through changing assessment – a conceptual and practical framework, paper presented to EARLI conference, Padova, 26–30 August

Graesser, A. C., Wiemer-Hastings, K., Wiemer-Hastings, P., & Kreuz, R., & Tutoring Research Group. (1999). AutoTutor: A simulation of a human tutor. Cognitive Systems Research,

(1), 35-51. https://doi.org/10.1016/S1389-0417(99)00005-4

Grobe, C. S., & Renkl, A. (2007). Finding and fixing errors in worked examples: Can this foster learning outcomes? Learning and Instruction, 17(6), 612-634.

https://doi.org/10.1016/j.learninstruc.2007.09.008

Groenendijk, T., Janssen, T., Rijlaarsdam, G., & van den Bergh, H. (2011). The effect of observational learning on students’ performance, processes, and motivation in two creative domains. British Journal of Educational Psychology, 83(1), 3-28. https://doi.org/10.1111/j.2044-8279.2011.02052.x

Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81-112. https://www.jstor.org/stable/4624888.

https://doi.org/10.3102/003465430298487

Hawe, E., Lightfoot, U., & Dixon, H. (2019). First-year students working with exemplars: promoting self-efficacy, self-monitoring, and self-regulation. Journal of Further and Higher Education, 43(1), 30-44.

https://www.tandfonline.com/doi/full/10.1080/0309877X.2017.1349894

https://doi.org/10.1080/0309877X.2017.1349894

Higgins, R., Hartley, P., & Skelton, A. (2001) Getting the message across: the problem of communicating assessment feedback, Teaching in Higher Education, 6(2), 269–274. https://doi.org/10.1080/13562510120045230

Hoogerheide, V., Loyens, S.M.M., & van Gog, T. (2014). Effects of creating video-based modeling examples on learning and transfer. Learning and Instruction, 33, 108-119. https://doi.org/10.1016/j.learninstruc.2014.04.005

Huang, Y.-H., Lin, K-C, Yu, X., & Hung, J.C. (2015). Comparison of different approaches on example-based learning for novice and proficient learners. Human-centric Computing and Information Sciences, 5 (29). https://doi.org/10.1186/s13673-015-0048-8

Kitsantas, A., Zimmerman, B., & Cleary, T. (2000). The role of observation and emulation in the development of athletic self-regulation. Journal of Educational Psychology, 92(4), 811-817. https://doi.org/10.1037/0022-0663.92.4.811

Klorman, R., Hilpert, P. L., Michael, R., LaGana, C., & Sveen, O. B. (1980). Effects of coping and mastery modeling on experienced and inexperienced pedodontic patients' disruptiveness. Behavior Therapy, 11(2), 156-168.

https://doi.org/10.1016/S0005-7894(80)80016-5

Korsgaard, M. A., & Diddams, M. (1996). The Effect of Process Feedback and Task Complexity on Personal Goals, Information Searching, and Performance Improvement. Journal of Applied Social Psychology, 26(21), 1889-1911. https://doi.org/10.1111/j.1559-1816.1996.tb00104.x

Learning, B. A., Novak, G. M., Patterson, E. T., & Gavrin, A. D. (1998). Just-in-Time Teaching. https://doi.org/10.1119/1.19159

Ledford, J. R., & Wolery, M. (2015). Observational learning of academic and social behaviors during small-group direct instruction. Exceptional Children, 81(3), 272-291. https://doi.org/10.1177/0014402914563698

Lee, M. J., & Ko, A. J. (2011, August). Personifying programming tool feedback improves novice programmers' learning. In Proceedings of the seventh international workshop on Computing education research (pp. 109-116). https://doi.org/10.1145/2016911.2016934

Maisto, S. A., Carey, K. B., & Bradizza, C. M. (1999). Social learning theory.

McLeod, P. L., & Liker, J. K. (1992). Electronic meeting systems: Evidence from a low structure environment. Information Systems Research, 3(3), 195-223. https://doi.org/10.1287/isre.3.3.195

McLeod, P. L., Liker, J.K., & Lobel, S.A. (1992). Process feedback in task groups: An Application of goal setting. Journal of Applied Behavioral Science, 28(1), 15-41. https://doi.org/10.1177/0021886392281003

Paxton, J. (2002). Live programming as a lecture technique. Journal of Computing Sciences in Colleges, 18(2), 51-56.

Pratiwi, H.Y., Winarko, W., & Ayu, H.D. (2018). The impact of problem solving strategy with online feedback on students’ conceptual understanding. International Conference on Science Education. http://doi.org/10.1088/1742-6596/1006/1/012024

Obrusnikova, I., & Rattigan, P. J. (2016). Using video-based modeling to promote acquisition of fundamental motor skills. Journal of Physical Education, Recreation & Dance, 87(4),

-29. https://doi.org/10.1080/07303084.2016.1141728

R Core Team. (2019). R: A Language and Environment for Statistical Computing. Vienna, Austria. https://www.R-project.org

Raedts, M., Rijlaarsdam, G., Van Waes, L., & Daems, F. (2007). Observational Learning throughVideo-Based Models: Impact on Students' Accuracy of Self-Efficacy Beliefs, Task Knowledge and Writing Performances. In G. Rijlaarsdam, P. Boscolo, & S. Hidi (Eds.), Writing and Motivation (Vol. 19, Studies in Writing, pp. 220-238). Oxford: Elsevier.

Raj, A.G.S., Patel, J.M., Halverson, R. & Halverson E.R. (2018). Role of live-coding in learning introductory programming. In Proceedings of the 18th Koli Calling International Conference on Computing Education Research: https://doi.org/10.1145/3279720.3279725

Renkl, A. (2005). The worked-out examples principle in multimedia learning. In R.E. Mayer (Ed.), The Cambridge handbook of multimedia learning, 229-246. Cambridge University Press. https://doi.org/10.1017/CBO9780511816819.016

Rubin, M. J. (2013, March). The effectiveness of live-coding to teach introductory programming. In Proceeding of the 44th ACM technical symposium on Computer science education (pp. 651-656). https://doi.org/10.1145/2445196.2445388

Rust, C., Price, M., & O’Donovan, B. (2003) Improving students’ learning by developing their understanding of assessment criteria and processes, Assessment and Evaluation in Higher Education, 28(2), 147–164. https://doi.org/10.1080/02602930301671

Schunk, D., & Hanson, A. R. (1989). Self-modeling and children’s cognitive skill learning. Journal of Education & Psychology, 81, 155–163.

Schunk, D. H., Hanson, A. R., & Cox, P. D. (1987). Peer-model attributes and children's achievement behaviors. Journal of Education & Psychology, 79, 54–61.

Schunk, D. H. & Zimmerman, B.J. (1997). Social origins of self-regulatory competence. Educational Psychologist, 32(4), 195-208. https://doi.org/10.1207/s15326985ep32041

Schunk, D. H. & Zimmerman, B.J. (2007). Influencing children's self-efficacy and self-regulation of reading and writing through modeling. Reading & Writing Quarterly, 23, 7-25. https://doi.org/10.1080/10573560600837578

Selzler, A. M., Rodgers, W. M., Berry, T. R., & Stickland, M. K. (2020). Coping versus mastery modeling intervention to enhance self-efficacy for exercise in patients with COPD. Behavioral Medicine, 46(1), 63-74. https://doi.org/10.1080/08964289.2018.1561411

Stigler, J. W., Son, J.Y., Givvin, K.B., Blake, A.B., Fries, L., Shaw, S.T., & Tucker, M.C. (2020). The Better Book approach for education research and development. Teachers College Record, 122.

Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12, 257-285. https://doi.org/10.1016/0364-0213(88)90023-7

Sweller, J., Van Merriënboer, J. J. G., & Paas, F. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10, 251-295. https://doi.org/10.1023/A:1022193728205

Tharp, R. G. & Gallimore, R.G. (1976). What a coach can teach a teacher. Psychology Today,

(8), 75-78.

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Published

2022-06-01

Issue

Section

Empirical Studies