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The effectiveness of animated video and written text resources for learning microeconomics: A laboratory experiment

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Abstract

Students’ diverse learning modes render the need to develop various learning materials for effective learning. Existing literature has shown the increasing use of animated videos to complement classroom teaching. To justify the use of videos for teaching, the impact of learning should be comparatively as effective as that of traditional learning materials. While there are studies of students’ perception on effectiveness of animated videos in existing literature, relatively little is reported on videos development and comparison to traditional written text in terms of their impact on learning outcomes. In response to this, our study describes the design of learning materials and a laboratory experiment which randomly assign business and non-business students to either a video or a text group to collect students’ perception. We design a pre- and post-test to each group to test the learning outcomes of both types of learning materials for comparison. We use both quantitative and qualitative questions to assess students’ experience of learning and collect comments for further development of the learning materials. The analysis showed that students perceived both types of materials as comparable and they regarded both positively. Both groups showed improvement between pre- and post-test, but the change in scores was insignificantly different across groups. These suggested that video is an effective alternative to text materials. The paper shares our experience of developing learning materials and designing a laboratory experiment with academics interested in using different learning materials for teaching microeconomics. The results support videos as equally effective learning materials as written text and provide directions for further improving existing learning materials.

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Notes

  1. The complete set of participants’ responses for both groups can be provided upon request.

References

  • Akamca, G. O., Ellez, A. M., & Hamurcu, H. (2009). Effects of computer aided concept cartoons on learning outcomes. Procedia - Social and Behavioral Sciences, 1, 296–301.

    Google Scholar 

  • Akaygun, S., & Adadan, E. (2019). Revisiting the understanding of redox reactions through critiquing animations in variance. In M. Schultz, S. Schmid, & G. A. Lawrie (Eds.), Research and practice in chemistry education (pp. 7–29). Singapore: Springer.

    Google Scholar 

  • Anderson, R. (1977). The notion of schemata and the educational enterprise: General discussion of the conference’. In R. Anderson, R. Spiro, & W. Montague (Eds.), Schooling and the acquisition of knowledge (pp. 415–431). Hillsdale: Erlbaum.

    Google Scholar 

  • Atkinson, R., & Shiffrin, R. (1968). Human memory: A proposed system and its control processes. In K. Spence (Ed.), The psychology of learning and motivation: Advances in research and theory (pp. 89–195). New York: Academic Press.

    Google Scholar 

  • Ayres, P., Castro-Alonso, J. C., Wong, M., Marcus, N., & Paas, F. (2019). Factors that impact on the effectiveness of instructional animations. In J. Sweller, S. Tindall-Ford, & S. Agostinho (Eds.), Advances in cognitive load theory: Rethinking teaching. New York: Routledge.

    Google Scholar 

  • Baddeley, A. (1983). ‘Working memory’, philosophical transactions of the Royal Society of London. Series B, Biological Sciences, 302(1110), 311–324.

    Google Scholar 

  • Barak, M., Ashkar, T., & Dori, Y. J. (2011). Learning science via animated movies: Its effect on students’ thinking and motivation. Computers & Education, 56, 839–846.

    Google Scholar 

  • Becker, W. E., Watts, M., & Becker, S. R. (2006). Teaching economics: More alternatives to chalk and talk. Massachusetts: Edward Elgar.

    Google Scholar 

  • Brown, A., & Logan, C. (2005). The psychology of the Simpsons: D'oh! Dallas: Benbella Books.

    Google Scholar 

  • Centre for Education Statistics and Evaluation. (2017). Cognitive load theory: Research that teachers really need to understand. Sydney: NSW government.

    Google Scholar 

  • Chan, C. K. (2015). Use of animation in engaging teachers and students in assessment in Hong Kong higher education. Innovations in Education and Teaching International, 52(5), 474–484.

    Google Scholar 

  • Chen, O., Kalyuga, S., & Sweller, J. (2016). Relations between the worked example and generation effects on immediate and delayed tests. Learning and Instruction, 45, 20–30.

    Google Scholar 

  • Chow, J., & Shiu, A. in press. Examining an economics test to inform university student learning using the Rasch model. In M. S. Khine (Ed.), Rasch measurement - applications in quantitative educational research. Singapore: Springer.

  • Connor, D. J. (2009). Creating cartoons as representation: Visual narratives of college students with learning disabilities. Educational Media International, 46(3), 185–205.

    Google Scholar 

  • Dalacosta, K., Kamariotaki-Paparrigopoulou, M., Palyvos, J. A., & Spyrellis, N. (2009). Multimedia application with animated cartoons for teaching science in elementary education. Computers & Education, 52, 741–748.

    Google Scholar 

  • De Koning, B., Tabbers, H., Rikers, R., & Paas, F. (2009). Towards a framework for attention cueing in instructional animations: Guidelines for research and design. Educational Psychology Review, 21, 113–140.

    Google Scholar 

  • Donovan, C., Figlio, D., & Rush, M. (2006). Cramming: The effects of school accountability on college-bound students, NBER Working Paper, No. 12628.

  • Dyer, T. D., Steele, J., & Larson, E. (2016). Making the cut: Student perceptions of animated videos. Paper presented at the scholarship of teaching and learning commons conference.

  • Fralinger, B., & Owens, R. (2009). YouTube as a learning tool. Journal of College Teaching and Learning, 6, 15–28.

    Google Scholar 

  • Gerjets, P., Scheiter, K., & Cierniak, G. (2009). The scientific value of cognitive load theory: A research agenda based on the structuralist view of theories. Educational Psychology Review, 21(1), 43–54.

    Google Scholar 

  • Greiner, B. (2004). The online recruitment system orsee 2.0-a guide for the organization of experiments in economics. University of Cologne, Working Paper Series in Economics, 10(23), 63–104.

    Google Scholar 

  • Hall, J. (2005). Homer Economicus: Using Simpsons to improve economic instruction through policy analysis. Journal of Private Enterprise, 20(Spring), 84–92.

    Google Scholar 

  • Halpern, P. (2007). What science ever done for us: What the Simpsons can teach us about physics, robots, life, and the universe. Hoboken: John Wiley and Sons, Inc..

    Google Scholar 

  • Heyden, R. J. (2004). Approaches to cell biology: Developing educational multimedia. Cell Biology Education, 3, 93–98.

    Google Scholar 

  • Hoyt, G. M. (2003). How to make economics the fulfilling social science. Southern Economic Journal, 70(1), 201–206.

    Google Scholar 

  • Kabapinar, F. (2005). Effectiveness of teaching via concept cartoons from the point of view of constructivist approach. Educational Sciences: Theory and Practice, 5(1), 135–146.

    Google Scholar 

  • Kalyuga, S., & Hsu, C. Y. (2019). What should students do first when learning how to solve a physics problem. In J. Sweller, S. Tindall-Ford, & S. Agostinho (Eds.), Advances in cognitive load theory: Rethinking teaching. New York: Routledge.

    Google Scholar 

  • Keogh, B. (1999). Concept cartoons, teaching and learning in science: An evaluation. International Journal of Science Education, 21, 431–446.

    Google Scholar 

  • Keogh, B., & Naylor, S. (1999). Concept cartoons, teaching and learning in science: An evaluation. International Journal of Science Education, 21, 431–446.

    Google Scholar 

  • Klein, G., & Bauman, Y. (2010). The cartoon introduction to economics, volume one: Microeconomics. New York: Hill and Wang.

    Google Scholar 

  • Lipeikiene, J., & Lipeika, A. (2006). Animation tools of CAS for dynamic exploration of mathematics. Informatics in Education, 5, 87–96.

    Google Scholar 

  • Luccasen, R. A., & Thomas, M. K. (2010). Simpsonomics: Teaching economics using episodes of the Simpsons. The Journal of Economic Education, 41(2), 136–149.

    Google Scholar 

  • Luccasen, R. A., Hammock, M., & Thomas, M. K. (2011). Teaching macroeconomic principles using animated cartoons. The American Economist, 56(1), 38–47.

    Google Scholar 

  • Marbach-Ad, G., Rotbain, Y., & Stavy, R. (2008). Using computer animation and illustration activities to improve high school students’ achievement in molecular genetics. Journal of Research in Science Teaching, 45, 273–292.

    Google Scholar 

  • Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38, 43–52.

    Google Scholar 

  • McClean, P., Johnson, C., Rogers, R., Daniels, L., Reber, J., Slator, B. M., Terpstra, J., & White, A. (2005). Molecular and cellular biology animations: Development and impact on student learning. Cell Biology Education, 4, 169–179.

    Google Scholar 

  • McTaggart, D., Findlay, C., & Parkin, M. (2010). Macroeconomics. Camberwell: Pearson Australia.

    Google Scholar 

  • Merkt, M., Weigand, S., Heier, A., & Schwan, S. (2011). Learning with videos vs. learning with print: The role of interactive features. Learning and Instruction, 21(6), 687–704.

    Google Scholar 

  • Ng, H. K., Kalyuga, S., & Sweller, J. (2013). Reducing transience during animation: A cognitive load perspective. Educational Psychology, 33(7), 755–772.

    Google Scholar 

  • O'Day, D. H. (2006). Animated cell biology: A quick & easy method for making effective high quality teaching animations. CBE Life Sciences Education, 6, 217–233.

    Google Scholar 

  • O'Day, D. H. (2007). The value of animations in biology teaching: A study of short-term and long term memory retention. CBE Life Sciences Education, 5, 155–163.

    Google Scholar 

  • Olitsky, N. H., & Cosgrove, S. B. (2014). The effect of blended courses on student learning: Evidence from introductory economics courses. International Review of Economics Education, 15, 17–31.

    Google Scholar 

  • Ong, S. K., & Mannan, M. A. (2004). Virtual reality simulations and animations in a web-based interactive manufacturing engineering module. Computers & Education, 43, 361–382.

    Google Scholar 

  • Ostrom, R. (2004). Active learning strategies for using cartoons and internet research assignments in social studies courses. Social Studies Review, 43(2), 61–64.

    Google Scholar 

  • Pinsky, M. I. (2001). The gospel according to the Simpsons: The spiritual life of the world's most animated family. Louisville: Westminster John Knox Press.

    Google Scholar 

  • Plass, J. L., Homer, B. D., & Hayward, E. O. (2009). Design factors for educationally effective animations and simulations. Journal of Computing in Higher Education, 21(1), 31–61.

    Google Scholar 

  • Rackaway, C. (2012). Video killed the textbook star? Use of multimedia supplements to enhance student learning. Journal of Political Science Education, 8, 189–200.

    Google Scholar 

  • Schmeck, A., Opfermann, M., van Gog, T., Paas, F., & Leutner, D. (2015). Measuring cognitive load with subjective rating scales during problem solving: Differences between immediate and delayed ratings. Instructional Science, 43, 93–114.

    Google Scholar 

  • Shiu, A, Chow, J., & Watson, J. (under review, 2019). Animating econometrics: The use of PowToon’s for teaching a university econometrics course, working paper.

  • Sweller, J. (2015). In academe, what is learned and how is it learned? Current Directions in Psychological Science, 24, 190–194.

    Google Scholar 

  • Sweller, J. (2016). Working memory, long-term memory and instructional design. Journal of Applied Research in Memory and Cognition, 5, 360–367.

    Google Scholar 

  • Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. New York: Springer.

    Google Scholar 

  • Taylor, M., Marrone, M., Tayar, M., & Mueller, B. (2018). Digital storytelling and visual metaphor in lectures: a study of student engagement. Accounting Education, 27(6), 552-569.

  • Thomson, A., Bridgstock, R., & Willems, C. (2014). ‘Teachers flipping out’ beyond the online lecture: Maximising the educational potential of video. Journal of Learning Design, 7(3), 67–78.

    Google Scholar 

  • Vazquez, J. J., & Chiang, E. P. (2015). Flipping out! A case study on how to flip the principles of economics classroom. International Advances in Economic Research, 21(4), 379–390.

    Google Scholar 

  • Williamson, V. M., & Abraham, M. R. (1995). The effects of computer animation on the particulate mental models of college chemistry students. Journal of Research in Science Teaching, 32, 521–534.

    Google Scholar 

  • Yang, E. M., Andre, T., & Greenbowe, T. J. (2003). Spatial ability and the impact of visualization/ animation on learning electrochemistry. International Journal of Science Education, 25, 329–349.

    Google Scholar 

  • Yellepeddi, V. K., & Roberson, C. (2016). The use of animated videos to illustrate oral solid dosage form manufacturing in a pharmaceutics course. American Journal of Pharmaceutical Education, 80(8), 1–10.

    Google Scholar 

  • Zhang, Y. A. (2012). Developing animated cartoons for economic teaching. Journal of University Teaching & Learning Practice, 9(2), 1–13.

    Google Scholar 

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Acknowledgements

The authors would like to acknowledge support from the University of New South Wales (UNSW) Business School for use of its Business Experimental Research Laboratory (BIZLAB) and for research funds provided by the School of Economics. We would also like to thank the Apps Resource Centre at Hong Kong Baptist University for providing suggestions and assistance in the design of videos. Thanks are also given to Mr. Daniel Joshua Thornton at UNSW for his video narration. The construction of animated videos used in the laboratory experiment described in this paper is fully funded by the Dean’s Reserve at Faculty of Business at Hong Kong Polytechnic University (Project No. project/account code: 1-8AA1).

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Shiu, A., Chow, J. & Watson, J. The effectiveness of animated video and written text resources for learning microeconomics: A laboratory experiment. Educ Inf Technol 25, 1999–2022 (2020). https://doi.org/10.1007/s10639-019-10025-1

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