EVALUATING THE IMPACT OF WORKED EXAMPLE VIDEOS FOR BLENDED LEARNING IN A LARGE-ENROLMENT BUSINESS STATISTICS COURSE
DOI:
https://doi.org/10.52041/serj.v21i1.93Keywords:
Statistics education research, Problem-solving, Active learning, Academic performance, Course satisfactionAbstract
Statistics courses are frequently perceived by tertiary students as extremely difficult and anxiety-inducing, negatively impacting student outcomes and experiences. To address this, the present study considered worked example videos (where an instructor demonstrates the solution to a problem while narrating the process) as a blended learning approach for enhancing an introductory business statistics course taken by 2265 students over three semesters. Impact was evaluated with video usage, academic performance, and student survey data. Students heavily utilised worked example videos before assessment deadlines, frequently employing active learning strategies during their engagements. Improvements in academic performance and course satisfaction were observed compared to previous cohorts. This demonstrates worked example videos are well-suited to large-enrolment courses due to their highly scalable capacity to deliver timely support for learning, which individuals can tailor to their diverse needs.
References
Ahmad, T. B. T., Doheny, F., Harding, N., & Faherty, S. (2013). How instructor-developed screencasts benefit college students’ learning of maths: Insights from an Irish case study. The Malaysian Online Journal of Educational Technology, 1(4), 12-25. http://research.thea.ie/handle/20.500.12065/2888
Ali, A. Z., & Iqbal, F. (2012). Statistics anxiety among psychology graduates: An analysis. International Proceedings of Economics Development Research, 53(25), 113–117. http://www.ipedr.com/vol53/025-BCPS2012-C10026.pdf
Association to Advance Collegiate Schools of Business. (2018). 2013 Eligibility procedures and accreditation standards for business accreditation. https://www.aacsb.edu/-/media/aacsb/docs/accreditation/business/standards-and-tables/2018-business-standards.ashx
Ayres, P., & Sweller, J. (2013). The worked example effect. In J. Hattie & E. M. Anderman (Eds.), International guide to student achievement (pp. 408–410). Routledge.
Barrington, F., & Evans, M. (2016). Year 12 mathematics participation in Australia: The last ten years. https://amsi.org.au/?publications=participation-in-year-12-mathematics-2006-2016
Barrington, F., & Evans, M. (2016). Year 12 mathematics participation in Australia: The last ten years. https://amsi.org.au/?publications=participation-in-year-12-mathematics-2006-2016
Belski, I. (2011). Dynamic and static worked examples in student learning. Developing engineers for social justice: Community involvement, ethics & sustainability. In Proceedings of the 22nd Annual Conference of the Australasian Association for Engineering Education, Fremantle, Western Australia, December 5-7 (pp. 396–401).
Berenson, M. L., Ramnarayanan, R., & Oppenheim, A. (2015). Assessing the disconnect between grade Eepectation and achievement in a business statistics course. Journal of Education for Business, 90(2), 72–80. https://doi.org/10.1080/08832323.2014.973828
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Brown, S., & Race, P. (2013). Using effective assessment to promote learning. In L. Hunt & D. Chalmers (Eds.), University teaching in focus: A learning-centred approach (Vol. 2, pp. 74–91). Routledge. Brynjolfsson, E., & McElheran, K. (2016). The rapid adoption of data-driven decision-making. American Economic Review, 106(5), 133–139. http://dx.doi.org/10.1257/aer.p20161016
Chester, A., Buntine, A., Hammond, K., & Atkinson, L. (2011). Podcasting in education: Student attitudes, behaviour and self-efficacy. Journal of Educational Technology & Society, 14(2), 236–247. https://www.jstor.org/stable/jeductechsoci.14.2.236?seq=1
Dart, S., Cunningham-Nelson, S., & Dawes, L. (2020). Understanding student perceptions of worked example videos through the technology acceptance model. Computer Applications in Engineering Education, 28(5), 1278–1290. https://doi.org/10.1002/cae.22301
Dart, S., Pickering, E., & Dawes, L. (2020). Worked example videos for blended learning in undergraduate engineering. Advances in Engineering Education, 8(2), 1–22. https://advances.asee.org/worked-example-videos-for-blended-learning-in-undergraduate-engineering/
Dart, S., & Spratt, B. (2021). Personalised emails in first-year mathematics: Exploring a scalable strategy for improving student experiences and outcomes. Student Success, 12(1), 1–12. https://doi.org/10.5204/ssj.1543
Deslauriers, L., McCarty, L. S., Miller, K., Callaghan, K., & Kestin, G. (2019). Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom. Proceedings of the National Academy of Sciences, 116(39), 19251–19257. https://doi.org/10.1073/pnas.1821936116
DeVaney, T. A. (2009). Impact of video tutorials in an online educational statistics course. Journal of Online Learning and Teaching, 5(4), 600–608. Dziuban, C., Graham, C. R., Moskal, P. D., Norberg, A., & Sicilia, N. (2018). Blended learning: the new normal and emerging technologies. International Journal of Educational Technology in Higher Education, 15(3), 1–16. https://doi.org/10.1186/s41239-017-0087-5
Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410–8415. https://doi.org/10.1073/pnas.1319030111
Gannaway, D., Green, T., & Mertova, P. (2018). So how big is big? Investigating the impact of class size on ratings in student evaluation. Assessment & Evaluation in Higher Education, 43(2), 175–184. https://doi.org/10.1080/02602938.2017.1317327
Guo, P. J., Kim, J., & Rubin, R. (2014). How video production affects student engagement: An empirical study of MOOC videos. In M. Sahami (Ed.), Learning at Scale 2014: Proceedings of the first ACM conference on Learning @ Scale, Atlanta, Georgia, March 4–5 (pp. 41–50). https://dl.acm.org/doi/10.1145/2556325.2566239
Hamid, H. S. A., & Sulaiman, M. K. (2014). Statistics anxiety and achievement in a statistics course among psychology students. The Journal of Behavioral Science, 9(1), 55–66. https://doi.org/10.14456/ijbs.2014.11
Hattie, J. A., & Donoghue, G. M. (2016). Learning strategies: A synthesis and conceptual model. npj Science of Learning, 1, 16013. https://doi.org/10.1038/npjscilearn.2016.13
He, Y., Swenson, S., & Lents, N. (2012). Online video tutorials increase learning of difficult concepts in an undergraduate analytical chemistry course. Journal of Chemical Education, 89(9), 1128–1132. https://doi.org/10.1021/ed200685p
Intepe, G., & Sheaman, D. (2020). Developing statistical understanding and overcoming anxiety via drop-in consultations. Statistics Education Research Journal, 19(1), 149–166. https://doi.org/10.52041/serj.v19i1.127
Key, J., & Paskevicius, M. (2015). Investigation of video tutorial effectiveness and student use for general chemistry laboratories. Journal of Applied Learning Technology, 5(4), 14–21. https://viurrspace.ca/handle/10613/2801
King, D., & Cattlin, J. (2015). The impact of assumed knowledge entry standards on undergraduate mathematics teaching in Australia. International Journal of Mathematical Education in Science and Technology, 46(7), 1032–1045. https://doi.org/10.1080/0020739X.2015.1070440
Kinkead, K. J., Miller, H., & Hammett, R. (2016). Adult perceptions of in-class collaborative problem solving as mitigation for statistics anxiety. The Journal of Continuing Higher Education, 64(2), 101–111. https://doi.org/10.1080/07377363.2016.1178057
Kitsantas, A., & Chow, A. (2007). College students’ perceived threat and preference for seeking help in traditional, distributed, and distance learning environments. Computers & Education, 48(3), 383–395. https://doi.org/10.1016/j.compedu.2005.01.008
Lai, G., Zhu, Z., & Williams, D. (2017). Enhance students’ learning in business statistics class using video tutorials. Journal of Teaching Learning with Technology, 6(1), 31–44. https://doi.org/10.14434/jotlt.v6n1.21161
Lloyd, S. A., & Robertson, C. L. (2011). Screencast tutorials enhance student learning of statistics. Teaching of Psychology, 39(1), 67–71. https://doi.org/10.1177/0098628311430640
Loch, B., Jordan, C. R., Lowe, T. W., & Mestel, B. D. (2014). Do screencasts help to revise prerequisite mathematics? An investigation of student performance and perception. International Journal of Mathematical Education in Science and Technology, 45(2), 256–268. https://doi.org/10.1080/0020739X.2013.822581
Ma'arop, A. H., & Embi, M. A. (2016). Implementation of blended learning in higher learning institutions: A review of the literature. International Education Studies, 9(3), 41–52. https://doi.org/10.5539/ies.v9n3p41
Martin, P. A. (2016). Tutorial video use by senior undergraduate electrical engineering students. Australasian Journal of Engineering Education, 21(1), 39–47. https://doi.org/10.1080/22054952.2016.1259027
Mayer, R. E. (2008). Applying the science of learning: Evidence-based principles for the design of multimedia instruction. American Psychologist, 63(8), 760–769.
Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38(1), 43–52. https://doi.org/10.1207/S15326985EP3801_6
Mohamad Ali, A. Z., Samsudin, K., Hassan, M., & Sidek, S. F. (2011). Does screencast teaching software application need narration for effective learning? Turkish Online Journal of Educational Technology, 10(3), 76–82. http://www.tojet.net/articles/v10i3/1039.pdf
Moos, D. C., & Bonde, C. (2016). Flipping the classroom: Embedding self-regulated learning prompts in videos. Technology, Knowledge and Learning, 21(2), 225–242. https://doi.org/10.1007/s10758-015-9269-1
Moskal, P., Dziuban, C., & Hartman, J. (2013). Blended learning: A dangerous idea? The Internet and Higher Education, 18, 15–23. https://doi.org/10.1016/j.iheduc.2012.12.001
Mulryan-Kyne, C. (2010). Teaching large classes at college and university level: Challenges and opportunities. Teaching in Higher Education, 15(2), 175–185. http://doi.org/10.1080/13562511003620001
Nguyen, T. H., Charity, I., & Robson, A. (2016). Students' perceptions of computer-based learning environments, their attitude towards business statistics, and their academic achievement: implications from a UK university. Studies in Higher Education, 41(4), 734–755. https://doi.org/10.1080/03075079.2014.950562
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