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The role of fun in learning

Published:15 October 2021Publication History

ABSTRACT

Fun is often considered as an essential element of learning, especially among researchers in gamification and child-computer interaction. Accordingly, enjoyment of a (non-formal) learning activity or game is frequently an important design and evaluation criteria. However, while it is often declared that learning games and playful learning activities are fun for children, empirical evidence is hard to come by as measuring fun is not straightforward. Hence, to start my PhD research, I have defined fun and designed and validated a measurement tool (FunQ) for the quantitative assessment of fun. Thereafter, by using FunQ I have investigated the effect of fun on learning. My research results indicate that fun has a positive and significant effect on learning and it also has a significant indirect positive effect on learning across influencing students' attitude about the topic. In my next study, I am planning to do an intervention to see how teachers can support the experienced fun while learning, and by this, enhance students’ learning experience and their level of learning. My aim is to turn research into practice by providing teachers with guidelines for a more fun and more effective learning.

References

  1. Adèr, H.J., Mellenbergh, G.J. and Hand, D.J. 2008. Advising on Research Methods: A consultant's companion. Johannes van Kessel Publishing.Google ScholarGoogle Scholar
  2. Bakar, K.A., Tarmizi, R.A., Mahyuddin, R., Elias, H., Luan, W.S. and Ayub, A.F.M. 2010. Relationships between university students’ achievement motivation, attitude and academic performance in Malaysia. Procedia - Social and Behavioral Sciences. 2, 2 (2010), 4906–4910. DOI:https://doi.org/10.1016/j.sbspro.2010.03.793.Google ScholarGoogle ScholarCross RefCross Ref
  3. Bidin, S., Jusoff, K., Aziz, N.A., Salleh, M.M. and Tajudin, T. 2009. Motivation and Attitude in Learning English among UiTM Students in the Northern Region of Malaysia. English Language Teaching. 2, 2 (2009), 16–20. DOI:https://doi.org/10.5539/elt.v2n2p16.Google ScholarGoogle ScholarCross RefCross Ref
  4. Chan, S.C.H., Wan, J.C.L. and Ko, S. 2019. Interactivity, active collaborative learning, and learning performance: The moderating role of perceived fun by using personal response systems. International Journal of Management Education. 17, 1 (2019), 94–102. DOI:https://doi.org/10.1016/j.ijme.2018.12.004.Google ScholarGoogle ScholarCross RefCross Ref
  5. Erkman, F., Caner, A., Hande Sart, Z., Börkan, B. and Şahan, K. 2010. Influence of Perceived Teacher Acceptance, Self-Concept, and School Attitude on the Academic Achievement of School-Age Children in Turkey. Cross-Cultural Research. 44, 3 (Aug. 2010), 295–309. DOI:https://doi.org/10.1177/1069397110366670.Google ScholarGoogle ScholarCross RefCross Ref
  6. Garn, A.C. and Cothran, D.J. 2006. The Fun Factor in Physical Education. Journal of Teaching in Physical Education. 25, 3 (2006), 281–297.Google ScholarGoogle ScholarCross RefCross Ref
  7. Hair Jr, J.F., Black, W.C., Babin, B.J. and Anderson, R.E. 2014. Multivariate Data Analysis. Pearson Education Limited.Google ScholarGoogle Scholar
  8. Hu, L. and Bentler, P.M. 1999. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling. 6, 1 (1999), 1–55. DOI:https://doi.org/10.1080/10705519909540118.Google ScholarGoogle ScholarCross RefCross Ref
  9. Iten, N. and Petko, D. 2016. Learning with serious games: Is fun playing the game a predictor of learning success? British Journal of Educational Technology. 47, 1 (2016), 151–163. DOI:https://doi.org/10.1111/bjet.12226.Google ScholarGoogle ScholarCross RefCross Ref
  10. Jackson, P.W. and Getzels, J.W. 1959. Psychological health and classroom functioning: A study of dissatisfaction with school among adolescents. Journal of Educational Psychology. 50, 6 (1959), 295–300. DOI:https://doi.org/10.1037/h0039656.Google ScholarGoogle ScholarCross RefCross Ref
  11. Jackson, P.W. and Lahaderne, H.M. 1967. Scholastic success and attitude toward school in a population of sixth graders. Journal of Educational Psychology. 58, 1 (1967), 15–18. DOI:https://doi.org/10.1037/h0024233.Google ScholarGoogle ScholarCross RefCross Ref
  12. Kline, R.B. 2015. Principles and Practice of Structural Equation Modeling. The Guilford Press.Google ScholarGoogle Scholar
  13. Knowles, C., Harris, A. and Van Norman, R. 2017. Family Fun Nights: Collaborative Parent Education Accessible for Diverse Learning Abilities. Early Childhood Education Journal. 45, 3 (2017), 393–401. DOI:https://doi.org/10.1007/s10643-016-0801-2.Google ScholarGoogle ScholarCross RefCross Ref
  14. Lee, J. 2016. Attitude toward school does not predict academic achievement. Learning and Individual Differences. 52, (2016), 1–9. DOI:https://doi.org/10.1016/j.lindif.2016.09.009.Google ScholarGoogle ScholarCross RefCross Ref
  15. Lucardie, D. 2014. The Impact of Fun and Enjoyment on Adult's Learning. Procedia - Social and Behavioral Sciences. 142, (2014), 439–446. DOI:https://doi.org/10.1016/j.sbspro.2014.07.696.Google ScholarGoogle ScholarCross RefCross Ref
  16. McManus, I.C. and Furnham, A. 2010. “Fun , Fun , Fun: Types of Fun , Attitudes to Fun , and their Relation to Personality and Biographical Factors. Psychology. 1, August (2010), 159–168. DOI:https://doi.org/10.4236/psych.2010.13021.Google ScholarGoogle ScholarCross RefCross Ref
  17. Narmadha, U. and Chamundeswari, S. 2013. Attitude towards Learning of Science and Academic Achievement in Science among Students at the Secondary Level. Journal of Sociological Research. 4, 2 (2013), 114–124. DOI:https://doi.org/10.5296/jsr.v4i2.3910.Google ScholarGoogle ScholarCross RefCross Ref
  18. Papavlasopoulou, S., Sharma, K. and Giannakos, M.N. 2018. How do you feel about learning to code? Investigating the effect of children's attitudes towards coding using eye-tracking. International Journal of Child-Computer Interaction. 17, (2018), 50–60. DOI:https://doi.org/10.1016/j.ijcci.2018.01.004.Google ScholarGoogle ScholarCross RefCross Ref
  19. Poels, K., de Kort, Y.A.W. and IJsselsteijn, W.A. 2007. D3.3: Game Experience Questionnaire: development of a self-report measure to assess the psychological impact of digital games.Google ScholarGoogle Scholar
  20. Rambli, D.R.A., Matcha, W. and Sulaiman, S. 2013. Fun learning with AR alphabet book for preschool children. Procedia Computer Science. 25, (2013), 211–219. DOI:https://doi.org/10.1016/j.procs.2013.11.026.Google ScholarGoogle ScholarCross RefCross Ref
  21. Read, J.C. 2008. Validating the Fun Toolkit: an instrument for measuring children's opinions of technology. Cognition, Technology & Work. 10, 2 (Apr. 2008), 119–128. DOI:https://doi.org/10.1007/s10111-007-0069-9.Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Ryan, R.M., Rigby, C.S. and Przybylski, A. 2006. The motivational pull of video games: A self-determination theory approach. Motivation and Emotion. 30, 4 (2006), 347–363. DOI:https://doi.org/10.1007/s11031-006-9051-8.Google ScholarGoogle ScholarCross RefCross Ref
  23. Sáez-López, J.M., Román-González, M. and Vázquez-Cano, E. 2016. Visual programming languages integrated across the curriculum in elementary school: A two year case study using “scratch” in five schools. Computers and Education. 97, (2016), 129–141. DOI:https://doi.org/10.1016/j.compedu.2016.03.003.Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Sim, G., MacFarlane, S. and Read, J.C. 2006. All work and no play: Measuring fun, usability, and learning in software for children. Computers & Education. 46, 3 (Apr. 2006), 235–248. DOI:https://doi.org/10.1016/j.compedu.2005.11.021.Google ScholarGoogle ScholarCross RefCross Ref
  25. Tasci, A.D.A. and Ko, Y.J. 2016. A FUN-SCALE for Understanding the Hedonic Value of a Product: The Destination Context. Journal of Travel and Tourism Marketing. 33, 2 (2016), 162–183. DOI:https://doi.org/10.1080/10548408.2015.1038421.Google ScholarGoogle ScholarCross RefCross Ref
  26. Tews, M.J., Michel, J.W. and Noe, R.A. 2017. Does fun promote learning? The relationship between fun in the workplace and informal learning. Journal of Vocational Behavior. 98, (Feb. 2017), 46–55. DOI:https://doi.org/10.1016/j.jvb.2016.09.006.Google ScholarGoogle ScholarCross RefCross Ref
  27. Tisza, G., Gollerizo, A. and Markopoulos, P. 2019. Measuring fun with adolescents: Introducing the Spanish and Dutch adaptation of the funq. CHI PLAY 2019 - Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play (2019), 715–722.Google ScholarGoogle Scholar
  28. Tisza, G. and Markopoulos, P. 2021. FunQ: Measuring the fun experience of a learning activity with adolescents. Current Psychology. (Mar. 2021). DOI:https://doi.org/10.1007/s12144-021-01484-2.Google ScholarGoogle ScholarCross RefCross Ref
  29. Tisza, G. and Markopoulos, P. 2021. Understanding the role of fun in learning to code. International Journal of Child-Computer Interaction. 28, (2021), 100270. DOI:https://doi.org/10.1016/j.ijcci.2021.100270.Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Tisza, G., Markopoulos, P. and Bekker, T.M. 2020. Learning to code: Interplay of attitude, emotions and fun. Manuscript submitted for publication. (2020).Google ScholarGoogle Scholar
  31. Tisza, G., Zhu, S. and Markopoulos, P. 2021. Fun to Enhance Learning, Motivation, Self-efficacy and Intention to Play in DGBL. IFIP ICEC 2021. (2021).Google ScholarGoogle Scholar
  32. Tokuhisa, S., Kamiyama, Y. and Tokiwa, T. 2015. Personal, Physical, Social, and Creative Contextual Design for Art Education. Computers in Entertainment. 11, 4 (2015), 1–20. DOI:https://doi.org/10.1145/2582193.2633443.Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Vieira, L.C. and da Silva, F.S.C. 2017. Assessment of fun in interactive systems: A survey. Cognitive Systems Research. 41, (2017), 130–143. DOI:https://doi.org/10.1016/j.cogsys.2016.09.007.Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Willis, J. 2007. The Neuroscience of Joyful Education. Educational Leadership. 64, (2007), 1–4.Google ScholarGoogle Scholar
  35. Yilmaz, E. 2014. Analiysıs of students’ success in the exam for transition to futher education through some of the variables. International Journal of Academic Research. 6, 1 (Jan. 2014), 57–63. DOI:https://doi.org/10.7813/2075-4124.2014/6-1/B.8.Google ScholarGoogle ScholarCross RefCross Ref
  36. Zaman, B., Abeele, V. Vanden and De Grooff, D. 2013. Measuring product liking in preschool children: An evaluation of the Smileyometer and This or That methods. International Journal of Child-Computer Interaction. 1, 2 (May 2013), 61–70. DOI:https://doi.org/10.1016/j.ijcci.2012.12.001.Google ScholarGoogle ScholarCross RefCross Ref

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                cover image ACM Conferences
                CHI PLAY '21: Extended Abstracts of the 2021 Annual Symposium on Computer-Human Interaction in Play
                October 2021
                414 pages
                ISBN:9781450383561
                DOI:10.1145/3450337

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                • Published: 15 October 2021

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