The Effects of Gamified Teaching on Learning Motivation and Problem-Solving Ability: Evidence from Chinese University Mathematics Classrooms

This study examined the effects of gamified teaching on learning motivation and problem-solving ability among Chinese university students in a mathematics course. Using a quasi-experimental design, 360 undergraduates were assigned to either a gamified instructional condition or a traditional lecture-based condition over a four-week period. Learning motivation and problem-solving ability were measured using validated instruments, with learning ability and learning styles examined as moderating variables. ANCOVA results indicated that students exposed to gamified teaching demonstrated significantly higher post-intervention motivation and stronger problem-solving performance than those receiving traditional instruction. Moderation analyses revealed that learners with lower prior ability benefited disproportionately from gamified instruction, showing larger gains in both motivational and cognitive outcomes. Additionally, visual and kinesthetic learners exhibited stronger responsiveness to gamified activities. These findings provide empirical evidence that gamified teaching can enhance both motivation and higher-order cognitive skills in higher education, particularly for students who struggle in conventional instructional settings.

gamified teaching; learning motivation; problem-solving ability

1. Bannert, M. (2002). Managing cognitive load—recent trends in cognitive load theory. Learning and instruction, 12(1), 139-146. [Google Scholar] [Crossref]

2. Beard, K. S. (2015). Theoretically speaking: An interview with Mihaly Csikszentmihalyi on flow theory development and its usefulness in addressing contemporary challenges in education. Educational Psychology Review, 27(2), 353-364. [Google Scholar] [Crossref]

3. Blackmore, D. G., Schaumberg, M. A., Ziaei, M., Belford, S., To, X. V., O’Keeffe, I., Bernard, A., Mitchell, J., Hume, E., & Rose, G. L. (2024). Long-term improvement in hippocampal-dependent learning ability in healthy, aged individuals following high intensity interval training. Aging and disease, 16(3), 1732. [Google Scholar] [Crossref]

4. Castillo-Parra, B., Hidalgo-Cajo, B. G., Vásconez-Barrera, M., & Oleas-López, J. (2022). Gamification in Higher Education: A Review of the Literature. World Journal on Educational Technology: Current Issues, 14(3), 797-816. [Google Scholar] [Crossref]

5. Cayubit, R. F. O. (2022). Why learning environment matters? An analysis on how the learning environment influences the academic motivation, learning strategies and engagement of college students. Learning Environments Research, 25(2), 581-599. [Google Scholar] [Crossref]

6. Chan, S. T. K., & Smith, G. D. (2024). Strategies for enhancing Chinese students' engagement in a large class learning environment: An interpretative phenomenological approach. Nurse Education in Practice, 78, 104023. [Google Scholar] [Crossref]

7. Chen, L. (2024). Delving into the role of self-efficacy in predicting motivation and engagement among music learners. Learning and Motivation, 86, 101961. [Google Scholar] [Crossref]

8. Huang, J., Huang, C., Qin, J., & Huang, K. (2024). Factors influencing self-regulated learning ability among Medical undergraduates in China: a cross-sectional study. BMC Medical Education, 24(1), 1235. [Google Scholar] [Crossref]

9. Irwanto, I., Wahyudiati, D., Saputro, A. D., & Laksana, S. D. (2023). Research trends and applications of gamification in higher education: A bibliometric analysis spanning 2013–2022. International Journal of Emerging Technologies in Learning (iJET), 18(5), 19-41. [Google Scholar] [Crossref]

10. Kam, A. H., & Umar, I. N. (2018). Fostering authentic learning motivations through gamification: A self-determination theory (SDT) approach. Journal of Engineering Science and Technology, 13(Special Issue), 1-9. [Google Scholar] [Crossref]

11. Li, L., Hew, K. F., & Du, J. (2024). Gamification enhances student intrinsic motivation, perceptions of autonomy and relatedness, but minimal impact on competency: a meta-analysis and systematic review. Educational technology research and development, 72(2), 765-796. [Google Scholar] [Crossref]

12. Li, S., Jia, X., Zhao, Y., Ni, Y., Xu, L., & Li, Y. (2024). The mediating role of self-directed learning ability in the impact of educational environment, learning motivation, and emotional intelligence on metacognitive awareness in nursing students. BMC nursing, 23(1), 78-93. [Google Scholar] [Crossref]

13. Mahadevkar, S. V., Khemani, B., Patil, S., Kotecha, K., Vora, D. R., Abraham, A., & Gabralla, L. A. (2022). A review on machine learning styles in computer vision—techniques and future directions. IEEE Access, 10, 107293-107329. [Google Scholar] [Crossref]

14. Murillo-Zamorano, L. R., López-Sánchez, J. Á., López-Rey, M. J., & Bueno-Muñoz, C. (2023). Gamification in higher education: The ECOn+ star battles. Computers & Education, 194, 104699. [Google Scholar] [Crossref]

15. Nieto-Escamez, F. A., & Roldán-Tapia, M. D. (2021). Gamification as online teaching strategy during COVID-19: A mini-review. Frontiers in Psychology, 12, 648552. [Google Scholar] [Crossref]

16. Noor, S., & Ramly, M. K. A. (2023). Bridging learning styles and student preferences in construction technology education: VARK model analysis. International Journal of Academic Research in Progressive Education and Development, 12(3), 2075-2085. [Google Scholar] [Crossref]

17. Pan, R., Qin, Z., Zhang, L., Lou, L., Yu, H., & Yang, J. (2023). Exploring the impact of intelligent learning tools on students’ independent learning abilities: a PLS-SEM analysis of grade 6 students in China. Humanities and Social Sciences Communications, 10(1), 1-11. [Google Scholar] [Crossref]

18. Sharafi, M. (2024). An Exploration into the Interrelation between EFL Learners’ Self-Regulated Learning, Self-Determined Motivation, and Academic Persistence. FOSTER: Journal of English Language Teaching, 5(1), 28-39. [Google Scholar] [Crossref]

19. Tian, M., Lu, G., Yin, H., & Li, L. (2020). Student engagement for sustainability of Chinese international education: The case of international undergraduate students in China. Sustainability, 12(17), 6831. [Google Scholar] [Crossref]

20. Wang, X., Hu, Z., Lu, P., Zhu, Y., Zhang, J., Subramaniam, S., Loomba, A. R., Zhang, S., Sun, Y., & Wang, W. (2023). Scibench: Evaluating college-level scientific problem-solving abilities of large language models. arXiv preprint arXiv:2307.10635. [Google Scholar] [Crossref]

21. Yeung, M. M.-Y., Yuen, J. W.-M., Chen, J. M.-T., & Lam, K. K.-L. (2023). The efficacy of team-based learning in developing the generic capability of problem-solving ability and critical thinking skills in nursing education: A systematic review. Nurse Education Today, 122, 105704. [Google Scholar] [Crossref]

22. Zhang, Y., Yang, X., Sun, X., & Kaiser, G. (2023). The reciprocal relationship among Chinese senior secondary students’ intrinsic and extrinsic motivation and cognitive engagement in learning mathematics: a three-wave longitudinal study. ZDM–Mathematics Education, 55(2), 399-412. [Google Scholar] [Crossref]

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