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Effects of game-based learning supports on students’ math performance and perceived game flow

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Abstract

Adopting a pretest–posttest experimental design with repeated measures, this study examined the effects of three types of game-based learning supports in the form of modeling on knowledge development that contributed to successful math problem solving and students’ perceived game flow. Forty-one sixth-grade students participated in the study and played a 3D architecture game that aims to promote mathematical conceptual understanding and problem solving skills, and presented with different types of learning supports (i.e., conceptual knowledge only, procedural knowledge only, and the combination of the two). No significant effect of the types of supports was found on participants’ perceived game flow. However, there was a significant impact of support type on participants’ performance on two posttests. The results indicated that the learning support with procedural knowledge only, compared with the learning support with both conceptual and procedural knowledge as well as that with conceptual knowledge only, was significantly more effective in promoting students’ knowledge acquisition related to mathematical problem solving.

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Data availability

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

References

  • Adams, D. M., & Clark, D. B. (2014). Integrating self-explanation functionality into a complex game environment: Keeping gaming in motion. Computers & Education, 73, 149–159. https://doi.org/10.1016/j.compedu.2014.01.002

    Article  Google Scholar 

  • Bainbridge, K., Shute, V., Rahimi, S., Liu, Z., Slater, S., Baker, R. S., & D’Mello, S. K. (2022). Does embedding learning supports enhance transfer during game-based learning? Learning and Instruction, 77, 1–11. https://doi.org/10.1016/j.learninstruc.2021.101547

    Article  Google Scholar 

  • Barzilai, S., & Blau, I. (2014). Scaffolding game-based learning: Impact on learning achievements, perceived learning, and game experiences. Computers & Education, 70, 65–79. https://doi.org/10.1016/j.compedu.2013.08.003

    Article  Google Scholar 

  • Baumann, N., Lürig, C., & Engeser, S. (2016). Flow and enjoyment beyond skill-demand balance: The role of game pacing curves and personality. Motivation and Emotion, 40(4), 507–519. https://doi.org/10.1007/s11031-016-9549-7

    Article  Google Scholar 

  • Bentley, B., & Yates, G. C. (2017). Facilitating proportional reasoning through worked examples: Two classroom-based experiments. Cogent Education, 4(1), 1297213. https://doi.org/10.1080/2331186X.2017.1297213

    Article  Google Scholar 

  • Byrnes, J. P., & Wasik, B. A. (1991). Role of conceptual knowledge in mathematical procedural learning. Developmental Psychology, 27(5), 777–786.

    Article  Google Scholar 

  • Chen, Z.-H., Liao, C. C., Cheng, H. N., Yeh, C. Y., & Chan, T.-W. (2012). Influence of game quests on pupils’ enjoyment and goal-pursuing in math learning. Educational Technology & Society, 15(2), 317–327.

    Google Scholar 

  • Chi, M. T. H., & Wylie, R. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational Psychologist, 49(4), 219–243. https://doi.org/10.1080/00461520.2014.965823

    Article  Google Scholar 

  • Chou, Y. S., Hou, H. T., Chang, K. E., & Su, C. L. (2021). Designing cognitive-based game mechanisms for mobile educational games to promote cognitive thinking: an analysis of flow state and game-based learning behavioral patterns. Interactive Learning Environments. https://doi.org/10.1080/10494820.2021.1926287

    Article  Google Scholar 

  • Clark, D. B., Tanner-Smith, E. E., & Killingsworth, S. S. (2016). Digital games, design, and learning: A systematic review and meta-analysis. Review of Educational Research, 86(1), 79–122.

    Article  Google Scholar 

  • Collins, A., Brown, J. S., & Newman, S. E. (1989). Cognitive apprenticeship: Teaching the crafts of reading, writing, and mathematics. In L. B. Resnick (Ed.), Knowing, learning, and instruction: Essays in honor of Robert Glaser (pp. 453–494). Lawrence Erlbaum Associates Inc.

    Google Scholar 

  • Common Core State Standards Initiative (2010). Common core state standards for mathematics. Retrieved from http://www.corestandards.org/assets/CCSSI_Math%20Standards.pdf

  • Cooper, G., & Sweller, J. (1987). Effects of schema acquisition and rule automation on mathematical problem-solving transfer. Journal of Educational Psychology, 4, 347–362.

    Article  Google Scholar 

  • Csikzentmihalyi, M. (1975). Beyond boredom and anxiety: Experiencing flow in work and play. Jossey-Bass.

    Google Scholar 

  • Erhel, S., & Jamet, E. (2013). Digital game-based learning: Impact of instructions and feedback on motivation and learning effectiveness. Computers & Education, 67, 156–167. https://doi.org/10.1016/j.compedu.2013.02.019

    Article  Google Scholar 

  • Fiorella, L., & Mayer, R. E. (2012). Paper-based aids for learning with a computer-based game. Journal of Educational Psychology, 104(4), 1074–1082. https://doi.org/10.1037/a0028088

    Article  Google Scholar 

  • Graesser, A. C., Chipman, P., Leeming, F., & Biedenbach, S. (2009). Deep learning and emotion in serious games. In U. Ritterfeld, M. J. Cody, & P. Vorderer (Eds.), Serious games: Mechanisms and effects (pp. 81–100). Routledge, Taylor & Francis.

    Google Scholar 

  • Greitemeyer, T., & Mügge, D. O. (2014). Video games do affect social outcomes: A meta-analytic review of the effects of violent and prosocial video game play. Personality and Social Psychology Bulletin, 40(5), 578–589. https://doi.org/10.1177/0146167213520459

    Article  Google Scholar 

  • Habgood, M. P. J., & Ainsworth, S. E. (2011). Motivating children to learn effectively: Exploring the value of intrinsic integration in educational games. Journal of the Learning Sciences, 20(2), 169–206. https://doi.org/10.1080/10508406.2010.508029

    Article  Google Scholar 

  • Hallett, D., Nunes, T., Bryant, P., & Thorpe, C. M. (2012). Individual differences in conceptual and procedural fraction understanding: The role of abilities and school experience. Journal of Experimental Child Psychology, 113(4), 469–486. https://doi.org/10.1016/j.jecp.2012.07.009

    Article  Google Scholar 

  • Hartt, M., Hosseini, H., & Mostafapour, M. (2020). Game on: Exploring the effectiveness of game-based learning. Planning Practice & Research, 35(5), 589–604. https://doi.org/10.1080/02697459.2020.1778859

    Article  Google Scholar 

  • Hou, H. T., & Keng, S. H. (2021). A dual-scaffolding framework integrating peer-scaffolding and cognitive-scaffolding for an augmented reality-based educational board game: An analysis of learners’ collective flow state and collaborative learning behavioral patterns. Journal of Educational Computing Research, 59(3), 547–573. https://doi.org/10.1177/0735633120969409

    Article  Google Scholar 

  • Inal, Y., & Cagiltay, K. (2007). Flow experiences of children in an interactive social game environment. British Journal of Educational Technology, 38(3), 455–464.

    Article  Google Scholar 

  • Johnson, C. I., & Mayer, R. E. (2010). Applying the self-explanation principle to multimedia learning in a computer-based game-like environment. Computers in Human Behavior, 26, 1246–1252. https://doi.org/10.1016/j.chb.2010.03.025

    Article  Google Scholar 

  • Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). Expertise reversal effect. Educational Psychologist, 38, 23–31.

    Article  Google Scholar 

  • Kalyuga, S., Rikers, R., & Paas, F. (2012). Educational implications of expertise reversal effects in learning and performance of complex cognitive and sensorimotor skills. Educational Psychology Review, 24, 313–337.

    Article  Google Scholar 

  • Ke, F. (2016). Designing and integrating purposeful learning in game play: A systematic review. Educational Technology Research and Development, 64(2), 219–244. https://doi.org/10.1007/s11423-015-9418-1

    Article  Google Scholar 

  • Kiili, K. (2005). On educational game design: Building blocks of flow experience. Tampere University of Technology Press.

    Google Scholar 

  • Kiili, K., Lainema, T., de Freitas, S., & Arnab, S. (2014). Flow framework for analyzing the quality of educational games. Entertainment Computing, 5(4), 367–377.

    Article  Google Scholar 

  • Kiili, K. J. M., Lindstedt, A., Koskinen, A., Halme, H., Ninaus, M., & McMullen, J. (2021). Flow experience and situational interest in game-based learning: Cousins or identical twins. International Journal of Serious Games, 8(3), 93–114.

    Article  Google Scholar 

  • Kim, B. J., Ke, F., Moon, J., & West, L. (2021). Designing dynamic learning supports for game and simulation-based learning in STEM education. In C. Aprea & D. Ifenthaler (Eds.), Game-based learning across the disciplines (pp. 189–212). Cham: Springer.

    Chapter  Google Scholar 

  • Kim, N. J., Belland, B. R., & Walker, A. E. (2018). Effectiveness of computer-based scaffolding in the context of problem-based learning for STEM education: Bayesian meta-analysis. Educational Psychology Review, 30(2), 397–429. https://doi.org/10.1007/s10648-017-9419-1

    Article  Google Scholar 

  • Lee, S., & Ke, F. (2019). The format of problem representation for in-game learning supports. Journal of Computer Assisted Learning, 35(3), 390–406. https://doi.org/10.1111/jcal.12345

    Article  Google Scholar 

  • Leemkuil, H., de Jong, T., de Hoog, R., & Christoph, N. (2003). KM Quest: A collaborative internet-based simulation game. Simulation & Gaming, 34(1), 89–111. https://doi.org/10.1177/1046878102250605

    Article  Google Scholar 

  • Mayer, R. E. (1985). Mathematical ability. In R. J. Sternberg (Ed.), Human abilities: An information-processing approach (pp. 127–150). Freeman.

    Google Scholar 

  • Mayer, R. E. (2011). Multimedia learning and games. In S. Tobias & J. D. Fletcher (Eds.), Computer games and instruction (pp. 281–305). Information Age Publishing.

    Google Scholar 

  • Mayer, R. E. (2014). Cognitive theory of multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (Cambridge handbooks in psychology) (pp. 43–71). Cambridge: Cambridge University Press.

    Chapter  Google Scholar 

  • Mislevy, R. J., Almond, R. G., & Lukas, J. F. (2003). A brief introduction to evidence-centered design. ETS Research Report Series. https://doi.org/10.1002/j.2333-8504.2003.tb01908.x

    Article  Google Scholar 

  • Moreno, R., & Mayer, R. E. (2005). Role of guidance, reflection, and Interactivity in an agent-based multimedia game. Journal of Educational Psychology, 97(1), 117–128. https://doi.org/10.1037/0022-0663.97.1.117

    Article  Google Scholar 

  • O’Neil, H. F., Chung, G. K., Kerr, D., Vendlinski, T. P., Buschang, R. E., & Mayer, R. E. (2014). Adding self-explanation prompts to an educational computer game. Computers in Human Behavior, 30, 23–28. https://doi.org/10.1016/j.chb.2013.07.025

    Article  Google Scholar 

  • Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design: Recent developments. Educational Psychologist, 38(1), 1–4. https://doi.org/10.1207/S15326985EP3801_1

    Article  Google Scholar 

  • Pan, Y., Ke, F., & Xu, X. (2022). A systematic review of the role of learning games in fostering mathematics education in K-12 settings. Educational Research Review. https://doi.org/10.1016/j.edurev.2022.100448

    Article  Google Scholar 

  • Procci, K., Singer, A. R., Levy, K. R., & Bowers, C. (2012). Measuring the flow experience of gamers: An evaluation of the DFS-2. Computers in Human Behavior, 28(6), 2306–2312. https://doi.org/10.1016/j.chb.2012.06.039

    Article  Google Scholar 

  • Quintero, A. H. (1983). Conceptual understanding in solving two-step word problems with a ratio. Journal for Research in Mathematics Education, 14(2), 102–112.

    Article  Google Scholar 

  • Reese, D. D. (2016). Dashboard effects challenge flow-learning assumption in digital instructional games. In S. Y. Tettegah & W. D. Huang (Eds.), Emotions, technology, and digital games (pp. 231–287). Academic Press.

    Chapter  Google Scholar 

  • Renkl, A. (2002). Worked-out examples: Instructional explanations support learning by self-explanations. Learning and Instruction, 12(5), 529–556. https://doi.org/10.1016/S0959-4752(01)00030-5

    Article  Google Scholar 

  • Renkl, A., & Atkinson, R. K. (2003). Structuring the transition from example study to problem solving in cognitive skill acquisition: A cognitive load perspective. Educational Psychologist, 38(1), 15–22. https://doi.org/10.1207/S15326985EP3801_3

    Article  Google Scholar 

  • Renkl, A., Atkinson, R. K., & Große, C. S. (2004). How fading worked solution steps works—A cognitive load perspective. Instructional Science, 32, 59–82. https://doi.org/10.1023/B:TRUC.0000021815.74806.f6

    Article  Google Scholar 

  • Renkl, A., Stark, R., Gruber, H., & Mandl, H. (1998). Learning from worked-out examples: The effects of example variability and elicited self-explanations. Contemporary Educational Psychology, 23, 90–108.

    Article  Google Scholar 

  • Sarwar, G. S., & Trumpower, D. L. (2015). Effects of conceptual, procedural, and declarative reflection on students’ structural knowledge in physics. Educational Technology Research and Development, 63(2), 185–201.

    Article  Google Scholar 

  • Shute, V. J., Ke, F., Almond, R. G., Rahimi, S., Smith, G., & Lu, X. (2019). How to increase learning while not decreasing the fun in educational games. In R. Feldman (Ed.), Learning science: Theory, research, and practice (pp. 327–357). McGraw Hill.

    Google Scholar 

  • Squire, K. (2005). Changing the game: What happens when video games enter the classroom? Innovate: Journal of online education, 1(6).

  • Sweetser, P., & Wyeth, P. (2005). GameFlow: A model for evaluating player enjoyment in games. Computers in Entertainment, 3(3), 1–24.

    Article  Google Scholar 

  • Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12, 257–285.

    Article  Google Scholar 

  • Sweller, J. (2005). Implications of cognitive load theory for multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 19–30). Cambridge University Press.

    Chapter  Google Scholar 

  • Sweller, J., van Merriënboer, J. J. G., & Paas, F. G. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10(3), 251–296.

    Article  Google Scholar 

  • Sweller, J., van Merriënboer, J. J. G., & Paas, F. G. (2019). Cognitive architecture and instructional design: 20 years later. Educational Psychology Review, 31, 261–292. https://doi.org/10.1007/s10648-019-09465-5

    Article  Google Scholar 

  • ter Vrugte, J., & de Jong, T. (2017). Self-explanations in game-based learning: From tacit to transferable knowledge. In P. Wouters & H. van Oostendorp (Eds.), Instructional techniques to facilitate learning and motivation of serious games (pp. 141–159). Springer.

    Chapter  Google Scholar 

  • ter Vrugte, J., de Jong, T., Wouters, P., Vandercruysse, S., Elen, J., & Oostendorp, H. (2015). When a game supports prevocational math education but integrated reflection does not. Journal of Computer Assisted Learning, 31(5), 462–480. https://doi.org/10.1111/jcal.12104

    Article  Google Scholar 

  • Tobias, S. (2009). An eclectic appraisal of the success or failure of constructivist instruction. In S. Tobias & T. D. Duffy (Eds.), Constructivist theory applied to education: Success or failure? (pp. 335–350). Routledge, Taylor and Francis.

    Chapter  Google Scholar 

  • Tobias, S., Fletcher, J. D., Dai, D. Y., & Wind, A. P. (2011). Review of research on computer games. In S. Tobias & J. D. Fletcher (Eds.), Computer games and instruction (pp. 127–221). Information Age Publishing Inc.

    Google Scholar 

  • Usta, N., & Yılmaz, M. (2020). Impact of the KWL reading strategy on mathematical problem-solving achievement of primary school 4th graders. The Journal of Educational Research, 113(5), 343–363.

    Article  Google Scholar 

  • van Gerven, P. W. M., Paas, F. G. W. C., van Merriënboer, J. J. G., & Schmidt, H. G. (2002). Cognitive load theory and aging: Effects of worked examples on training efficiency. Learning and Instruction, 12(1), 87–105.

    Article  Google Scholar 

  • van Merriënboer, J. J., & de Croock, M. B. (1992). Strategies for computer-based programming instruction: Program completion vs program generation. Journal of Educational Computing Research, 8(3), 365–394.

    Article  Google Scholar 

  • van Merriënboer, J. J. G., & Kirschner, P. A. (2018). Ten steps to complex learning: A systematic approach to four-component instructional design 3rd rev. ed. Routledge.

    Google Scholar 

  • van Merriënboer, J. J. G., & Krammer, H. P. M. (1987). Instructional strategies and tactics for the design of introductory computer programming courses in high school. Instructional Science, 16, 251–285.

    Article  Google Scholar 

  • Vandercruysse, S., ter Vrugte, J., de Jong, T., Wouters, P., van Oostendorp, H., Verschaffel, L., Moeyaert, M., & Elen, J. (2016). The effectiveness of a math game: The impact of integrating conceptual clarification as support. Computers in Human Behavior, 64, 21–33. https://doi.org/10.1016/j.chb.2016.06.004

    Article  Google Scholar 

  • Wouters, P. (2017). Modeling and worked examples in game-based learning. In P. Wouters & H. van Oostendorp (Eds.), Instructional techniques to facilitate learning and motivation of serious games (pp. 185–198). Springer.

    Chapter  Google Scholar 

  • Wouters, P., van der Spek, E. D., & van Oostendorp, H. (2009). Current practices in serious game research: A review from a learning outcomes perspective. In P. A. Hershey (Ed.), Games-based learning advancements for multi-sensory human computer interfaces: techniques and effective practices (pp. 232–250). IGI Global.

    Chapter  Google Scholar 

  • Wouters, P., & van Oostendorp, H. (2013). A meta-analytic review of the role of instructional support in game-based learning. Computer & Education, 60, 412–425. https://doi.org/10.1016/j.compedu.2012.07.018

    Article  Google Scholar 

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Funding

This work was supported in part by National Science Foundation, Grant No. 1720533. Any opinions, findings, and conclusions or recommendations expressed in these materials are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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  1. Department of Educational Psychology and Learning Systems, Florida State University, Tallahassee, FL, USA

    Yanjun Pan & Fengfeng Ke

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  1. Yanjun Pan
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Correspondence to Yanjun Pan.

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Pan, Y., Ke, F. Effects of game-based learning supports on students’ math performance and perceived game flow. Education Tech Research Dev 71, 459–479 (2023). https://doi.org/10.1007/s11423-022-10183-z

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