Enhancing Mathematical Motivation, Problem-Solving, and Cognitive Engagement of Pre-Service Teachers: A Metaverse-Based Adaptive Gamification Research and Development Study

Authors

  • Erna Yayuk
  • Daroe Iswatiningsih
  • Agung Deddiliawan Ismail

Keywords:

Adaptive gamification; Education 4.0; mathematical motivation; metaverse; pre-service teachers

Abstract

This study aimed to develop and evaluate a metaverse-based adaptive gamified learning game to enhance mathematical motivation, problem-solving skills, and cognitive engagement of teacher education students. The research specifically sought to produce a valid, practical, and effective learning system that addresses low motivation, mathematics anxiety, and limited higher-order thinking skills commonly found in teacher education. Using a research and development (R&D) approach with a 4D model (define, design, develop, disseminate), the study integrated immersive digital environments with adaptive gamification strategies. The adaptive mechanism personalizes learning by dynamically adjusting task difficulty, feedback, and learning pathways based on students’ performance and progression. The learning content focuses on core elementary mathematics topics, particularly geometry and basic problem-solving concepts. The system was implemented over a six-week intervention period and evaluated using a quasi-experimental one-group pretest–posttest design involving 60 teacher education students. Data were collected through expert validation, black box testing, practicality testing, and pre–post assessments. Validation results indicated high validity for material (90.90%), media (89.94%), and instructional design (90.40%). Black box testing achieved a 100% success rate, and practicality testing yielded an overall score of 90.17%, demonstrating strong usability. Effectiveness analysis revealed significant improvements across all measured outcomes (p < 0.001). The disseminate stage resulted in a finalized and classroom-ready learning product that is feasible for broader implementation in teacher education programs. These findings confirm that metaverse-based adaptive gamified learning can effectively enhance mathematics learning outcomes while strengthening digital pedagogical competencies aligned with Education 4.0.

https://doi.org/10.26803/ijlter.25.3.8

References

Aguiar-Castillo, L., Arce-Santana, E., Guerra-Yanez, C., Guerra-Yanez, V., & Perez-Jimenez, R. (2022). Gamification: A Motivation metric based in a Markov model. International Journal of Emerging Technologies in Learning, 17(13), 17–34. https://doi.org/10.3991/ijet.v17i13.30781

Boaler, J. (2016). Mathematical mindsets: Unleashing students’ potential through creative math, inspiring messages, and innovative teaching. Jossey-Bass.

Bond, M., Buntins, K., Bedenlier, S., Zawacki-Richter, O., & Kerres, M. (2020). Mapping research in student engagement and educational technology in higher education: A systematic evidence map. International Journal of Educational Technology in Higher Education, 17(1). https://doi.org/10.1186/s41239-019-0176-8

Chasokela, D. (2025). Investigating the role of virtual reality to support student’ engagement, spatial awareness and problem-solving skills in engineering education. International Journal of Instruction, 18(3), 613–636. https://doi.org/10.29333/iji.2025.18332a

Cheng, K.-H., & Tsai, C.-C. (2020). Students’ motivational beliefs and strategies, perceived immersion and attitudes towards science learning with immersive virtual reality: A partial least squares analysis. British Journal of Educational Technology, 51(6), 2140–2159. https://doi.org/10.1111/bjet.12956

Cheng, M.-T., She, H.-C., & Annetta, L. (2015). Impact of immersion on learning. Journal of Computer Assisted Learning, 31, 232–253. https://doi.org/10.1111/jcal.12066

Costa, C. J., Aparicio, J. T., Aparicio, M., & Aparicio, S. (2024). Gamification and AI: Enhancing user engagement through intelligent systems. arXiv preprint arXiv, 2411.10462. https://doi.org/10.48550/arXiv.2411.10462

Csikszentmihalyi, M., & Larson, R. (2014). Flow and the foundations of positive psychology (Vol. 10) (pp. 978–994). Springer.

Daly, I., Bourgaize, J., & Vernitski, A. (2019). Mathematical mindsets increase student motivation: Evidence from the EEG. Trends in neuroscience and education, 15, 18–28. https://doi.org/10.1016/j.tine.2019.02.005

Dwivedi, Y. K., Hughes, L., Wang, Y., Alalwan, A. A., Ahn, S. J., Balakrishnan, J., Barta, S., Belk, R., Buhalis, D., Dutot, V., Felix, R., Filieri, R., Flavián, C., Gustafsson, A., Hinsch, C., Hollensen, S., Jain, V., Kim, J., Krishen, A. S., … & Wirtz, J. (2023). Metaverse marketing: How the metaverse will shape the future of consumer research and practice. Psychology & Marketing, 40(4), 750–776. https://doi.org/10.1002/mar.21767

Fang, F., Jing, Y., Zhang, Z., Wang, T., Ma, J., & Zhao, Z. (2024). Design of educational games for mathematical literacy enhancement in the educational metaverse context. Transactions on Computing Education, 6, 132–141.http://dx.doi.org/10.23977/trance.2024.060618

Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/00346543074001059

Garzón, J., Pavón, J., & Baldiris, S. (2019). Systematic review and meta-analysis of augmented reality in educational settings. Educational Research Review, 27, 244–260. https://doi.org/10.1016/j.edurev.2019.04.001

Hartina, S., Nurcholis, M., & Dewi, A. (2024). Metaverse in education: exploring the potential of learning in virtual worlds. Journal of Pedagogi, 1, 73–81. https://doi.org/10.62872/2z264r75

Hmoud, M., Daher, W., & Ayyoub, A. (2025). From experience to engagement: a mixed methods exploration of learning environments using artificial intelligence and extended reality. Frontiers in Education, 10, 1617132. https://doi.org/10.3389/feduc.2025.1617132

Hong Lin, S., Wan, S., Gan, W., Chen, J., & Chao, H. C. (2022). Metaverse in education: Vision, opportunities, and challenges. Proceedings of the 2022 IEEE International Conference on Big Data (Big Data 2022). IEEE. https://doi.org/10.1109/BigData55660.2022.10021004

Jagatheesaperumal, S. K., Ahmad, K., Al-Fuqaha, A., & Qadir, J. (2024). Advancing education through extended reality and Internet of Everything enabled metaverses: Applications, challenges, and open issues. IEEE Transactions on Learning Technologies, 1120–1139. https://doi.org/10.1109/TLT.2024.3358859

Katona, J., & Gyonyoru, K. I. K. (2025). Integrating AI-based adaptive learning into the flipped classroom model to enhance engagement and learning outcomes. Computers and Education: Artificial Intelligence, 8. https://doi.org/10.1016/j.caeai.2025.100392

López-Belmonte, J., Pozo-Sánchez, S., Moreno-Guerrero, A. J., & Lampropoulos, G. (2023). Metaverse in education: A systematic review. Distancia, 73, 31–2023. https://doi.org/10.6018/red.511421

Makransky, G., Andreasen, N. K., Baceviciute, S., & Mayer, R. E. (2021). Immersive virtual reality increases liking but not learning with a science simulation and generative learning strategies promote learning in immersive virtual reality. Journal of Educational Psychology, 113(4), 719–735. https://doi.org/10.1037/edu0000473

Mayer, R. E. (2022). The future of multimedia learning. The Journal of Applied Instructional Design, 11(4), 69–77.

Meena, S. D. (2023). Advancing education through metaverse: Components, applications, challenges, case studies and open issues. Proceedings of the International Conference on Sustainable Computing and Smart Systems (ICSCSS 2023), 880–889. https://doi.org/10.1109/ICSCSS57650.2023.10169535

Park, M. (2022). A study on the possibilities of using metaverse in mathematics education. Journal of the Korean Society of Mathematical Education, 25(4), 5–17. https://doi.org/10.30807/ksms.2022.25.4.005

Parthasarathy, K., Ayyadurai, R., & Panga, N. K. R., JyothiBobba, Lakshmi, R. B., & Roseline Oluwaseun Ogundokun, R. O. (2025). Enhancing the emotional intelligence for business and work-life balance using fuzzy logic adaptive model of emotions. Service Oriented Computing and Applications. https://doi.org/10.1007/s11761-025-00450-1

Polya, G. (2004). How to solve it: A new aspect of mathematical method. Princeton University Press.

Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020). A Systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 147. https://doi.org/10.1016/j.compedu.2019.103778

Rungrapeepornphong, P., Kanjug, I., Singma, S., & Moeikao, N. (2023). The development of constructivist flipped classroom learning environments on metaverse to promote problem solving and reasoning skills in mathematics of secondary education grade 10th students. IAI Letters on Institutional Research, 3(1). https://doi.org/10.52731/lir.v003.142

Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. The Guilford Press. https://doi.org/10.1521/978.14625/28806

Sailer, M., & Homner, L. (2020). The gamification of learning: A meta-analysis. Educational Psychology Review, 32, 77–112. https://doi.org/10.1007/s10648-019-09498-w

Schindler, L. A., Burkholder, G. J., Morad, O. A., & Marsh, C. (2017). Computer-based technology and student engagement: a critical review of the literature. International Journal of Educational Technology in Higher Education, 14(1). https://doi.org/10.1186/s41239-017-0063-0

Schoenfeld, A. H. (2017). Learning to think mathematically: Problem solving, metacognition, and sense making in mathematics (Reprint). Journal of Education, 196(2), 1-38. https://doi.org/10.1177/002205741619600202

Schunk, D. H., Pintrich, P. R., & Meece, J. L. (2014). Motivation in education: Theory, research, and practice. Pearson Higher Education.

Setyaningrum, I. D., Daminto, B. P., & Purwaningsih, W. I. (2023). Pengembangan e-module matematika gamifikasi berbasis problem based learning untuk meningkatkan motivasi belajar. Jurnal Matematika, 13(2), 203–214. https://doi.org/10.24843/MTK.2023.v12.i03.p420

Sin, Z. P. T., Jia, Y., Wu, A. C. H., Zhao, I. D., Li, R. C., & Ng, P. H. F. (2023). Toward an edu-metaverse of knowledge: Immersive exploration of university courses. IEEE Transactions on Learning Technologies, 16(6), 1096–1110. https://doi.org/10.1109/TLT.2023.3290814

Solekhah, H., Kutni, I. D., & Pamungkas, A. B. (2023). Student’s engagement and perception of gamification in mathematics. International Journal of Theory and Application in Elementary and Secondary School Education, 5(2), 255–266. https://doi.org/10.33830/ijtaese.v5i2.1430

Strielkowski, W., Grebennikova, V., Lisovskiy, A., Rakhimova, G., & Vasileva, T. (2025). AI?driven adaptive learning for sustainable educational transformation. Sustainable Development, 33(2), 1921–1947. https://doi.org/10.1002/sd.3221

Tyaningsih, R. Y., Hayati, L., Sarjana, K., Sridana, N., & Prayitno, S. (2022). Penerapan metode gamifikasi dalam meningkatkan motivasi belajar mahasiswa pada mata kuliah geometri analitik bidang melalui aplikasi Kahoot [The implementation of gamification methods to enhance students’ learning motivation in the analytical geometry of the plane course using the Kahoot application]. Griya Journal of Mathematics Education and Application, 2(2), 317–326. https://doi.org/10.29303/griya.v2i2.202

Vankúš, P. (2021). Influence of game-based learning in mathematics education on students’ affective domain: A systematic review. Mathematics, 9(9), 986. https://doi.org/10.3390/math9090986

Wu, X., Chen, Y., & Wu, Y. (2023). Exploration of mathematics education by metaverse technology. 2023 IEEE 12th International Conference on Educational and Information Technology (pp. 173–178). IEEE. https://doi.org/10.1109/ICEIT57125.2023.10107894

Yayuk, E., & Ekowati, D. W. (2022). Disposisi berpikir kreatif matematis pada siswa sekolah dasar [Mathematical creative thinking disposition of elementary school students]. Scholaria: Jurnal Pendidikan Dan Kebudayaan, 12(2), 89–95.

Yulianto, D., Juniawan, E. A., Junaedi, Y., Anwar, S., & Umami, M. R. (2024). Fostering mathematical motivation with Wordwall Media: A study of the ARCS model (attention, relevance, confidence, and satisfaction) based on sex among high school students. Supremum Journal of Mathematics Education, 8(2), 173–196. https://doi.org/10.35706/sjme.v8i2.11186

Yunus, A. S., & Ali, W. Z. W. (2009). Motivation in the Learning of Mathematics. European Journal of Social Sciences, 7(4), 93–101.

Zhang, X., Chen, Y., Hu, L., & Wang, Y. (2022). The metaverse in education: Definition, framework, features, potential applications, challenges, and future research topics. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1016300

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Published

2026-03-30

How to Cite

Yayuk, E. ., Iswatiningsih, D., & Ismail, . A. D. . (2026). Enhancing Mathematical Motivation, Problem-Solving, and Cognitive Engagement of Pre-Service Teachers: A Metaverse-Based Adaptive Gamification Research and Development Study. International Journal of Learning, Teaching and Educational Research, 25(3), 162–193. Retrieved from https://www.ijlter.net/index.php/ijlter/article/view/2746

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