Challenges and Readiness of VR and AI Integration in STEM-based Mathematics Education: A Case of Urban and Rural High Schools

Cindy Indra Amirul Fiqri, Yus Mochamad Cholily, Mohammad Syaifuddin, Moh. Mahfud Effendi, Abdulkadir Rahardjanto

Abstract


The integration of Virtual Reality (VR) and Artificial Intelligence (AI) in STEM-based mathematics learning offers significant potential to enhance students' comprehension of abstract concepts. This study aims to identify key infrastructure and technology readiness challenges and propose practical solutions. Using a qualitative research design, data were collected through in-depth interviews with ten teachers and 85 students from secondary schools and analyzed thematically. The results highlight three primary barriers: limited internet access, high hardware costs, and insufficient technical training. While students showed enthusiasm toward VR and AI, teachers expressed a lack of preparedness to utilize these technologies. Furthermore, the digital divide between urban and rural schools aggravates educational inequities. To address these challenges, the study recommends increased investment in digital infrastructure, provision of hardware subsidies, and continuous teacher training programs. Collaboration between the government and private sector is also essential to bridge gaps and support the effective implementation of VR and AI in education. This research contributes by offering insights and actionable strategies for integrating emerging technologies in STEM education, ultimately improving learning outcomes and reducing educational disparities.

Keywords


Virtual Reality; Artificial Intelligence; STEM education; infrastructure challenges; technology readiness

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Abdualiyeva, R., Seitova, S., Tasbolatova, R., & Smagulova, L. (2022). Methodology of application of case technology in the process of teaching mathematics. Cypriot Journal of Educational Sciences, 17(9), 3545–3555. https://doi.org/10.18844/cjes.v17i9.8119

Akhtar, K., Standfield, N. J., Gupte, C. M., & Tuijthof, G. J. M. (2015). Virtual Reality Simulators. In M. Karahan, G. M. M. J. Kerkhoffs, P. Randelli, & G. J. M. Tuijthof (Eds.), Effective Training of Arthroscopic Skills (pp. 71–80). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-44943-1_7

Al Breiki, M., Al Abri, A., Al Moosawi, A. M., & Alburaiki, A. (2023). Investigating science teachers’ intention to adopt virtual reality through the integration of diffusion of innovation theory and theory of planned behaviour: The moderating role of perceived skills readiness. Education and Information Technologies, 28(5), 6165–6187. https://doi.org/10.1007/s10639-022-11367-z

Alam, A. (2022). Employing Adaptive Learning and Intelligent Tutoring Robots for Virtual Classrooms and Smart Campuses: Reforming Education in the Age of Artificial Intelligence. In R. N. Shaw, S. Das, V. Piuri, & M. Bianchini (Eds.), Advanced Computing and Intelligent Technologies (Vol. 914, pp. 395–406). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-2980-9_32

Allam, A. (2015). The effect of social support features and gamification on a web-based intervention for rheumatoid arthritis patients: Randomized controlled trial. Journal of Medical Internet Research, 17(1). https://doi.org/10.2196/jmir.3510

Ally, M., & Perris, K. (2022). Artificial Intelligence in the Fourth Industrial Revolution to Educate for Sustainable Development. Canadian Journal of Learning and Technology, 48(4). https://doi.org/10.21432/cjlt28287

Al-Zahrani, A. M. (2024). Unveiling the shadows: Beyond the hype of AI in education. Heliyon, 10(9), e30696. https://doi.org/10.1016/j.heliyon.2024.e30696

Ananto, P., & Ningsih, S. K. (2023). An examination of Indonesian teachers’ and students’ perceptions and levels of digital citizenship. Heliyon, 9(8), e18987. https://doi.org/10.1016/j.heliyon.2023.e18987

Asmayawati, Yufiarti, & Yetti, E. (2024). Pedagogical innovation and curricular adaptation in enhancing digital literacy: A local wisdom approach for sustainable development in Indonesia context. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100233. https://doi.org/10.1016/j.joitmc.2024.100233

Balushi, J. S. G. A., Jabri, M. I. A. A., Palarimath, S., Maran, P., Thenmozhi, K., & Balakumar, C. (2024). Incorporating Artificial Intelligence Powered Immersive Realities to Improve Learning using Virtual Reality (VR) and Augmented Reality (AR) Technology. 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 760–765. https://doi.org/10.1109/ICAAIC60222.2024.10575046

Buentello-Montoya, D. A., Lomelí-Plascencia, M. G., & Medina-Herrera, L. M. (2021). The role of reality-enhancing technologies in teaching and learning of mathematics. Computers & Electrical Engineering, 94, 107287. https://doi.org/10.1016/j.compeleceng.2021.107287

Castañeda, L., & Gourlay, L. (2023). Data ecosystems in education: Opportunities and challenges. Edutec. Revista Electrónica de Tecnología Educativa, 86, 1–5. https://doi.org/10.21556/edutec.2023.86.3071

Chairani, M. A., Pradhana, A. P., & Purnama, T. Y. (2022). The Urgency Of Developing Law As A Legal Basis For The Implementation Of Artificial Intelligence In Indonesia. Law and Justice, 7(1), 35–45. https://doi.org/10.23917/laj.v7i1.760

Dai, Y., Chai, C.-S., Lin, P.-Y., Jong, M. S.-Y., Guo, Y., & Qin, J. (2020). Promoting Students’ Well-Being by Developing Their Readiness for the Artificial Intelligence Age. Sustainability, 12(16), 6597. https://doi.org/10.3390/su12166597

Dobrev, I. H., & Garov, K. (2023). Opportunities And Challenges Of Augmented And Virtual Reality In Education. Education and Technologies Journal, 14(1), 200–203. https://doi.org/10.26883/2010.231.5077

Dudhat, A., & Ardi. (2023). Application of Information Technology to Education in the Age of the Fourth Industrial Revolution. International Transactions on Education Technology (ITEE), 1(2), 131–137. https://doi.org/10.34306/itee.v1i2.319

Efendi, Moh. A., Panglipur, I. R., & Murtinasari, F. (2024). Identifying the use of artificial intelligence in math learning based on learning outcomes. At- Ta’lim : Jurnal Pendidikan, 10(2), 53–59. https://doi.org/10.55210/attalim.v10i2.1689

González-Pérez, P., & Mesías-Lema, J. M. (2023). La Realidad Virtual para la enseñanza y aprendizaje de la perspectiva en el dibujo. Edutec. Revista Electrónica de Tecnología Educativa, 83, 188–207. https://doi.org/10.21556/edutec.2023.83.2681

Govender, R. (2023). The impact of artificial intelligence and the future of ChatGPT for mathematics teaching and learning in schools and higher education. Pythagoras, 44(1). https://doi.org/10.4102/pythagoras.v44i1.787

Hansen, M., & Gonzalez, T. (2014). Investigating the Relationship between STEM Learning Principles and Student Achievement in Math and Science. American Journal of Education, 120(2), 139–171. https://doi.org/10.1086/674376

Hidayatullah, E., Untari, R., & Fifardin, F. (2024). Effectiveness of AI in solving math problems at the secondary school level: A comparative study with student performance. Union: Jurnal Ilmiah Pendidikan Matematika, 12(2), 350–360. https://doi.org/10.30738/union.v12i2.17548

Huang, W., Walkington, C., & Nathan, M. J. (2023). Coordinating modalities of mathematical collaboration in shared VR environments. International Journal of Computer-Supported Collaborative Learning, 18(2), 163–201. https://doi.org/10.1007/s11412-023-09397-x

Lawson, A. P., Martella, A. M., LaBonte, K., Delgado, C. Y., Zhao, F., Gluck, J. A., Munns, M. E., Wells LeRoy, A., & Mayer, R. E. (2024). Confounded or Controlled? A Systematic Review of Media Comparison Studies Involving Immersive Virtual Reality for STEM Education. Educational Psychology Review, 36(3), 69. https://doi.org/10.1007/s10648-024-09908-8

Long, T. Q., Hoang, T. C., & Simkins, B. (2023). Gender gap in digital literacy across generations: Evidence from Indonesia. Finance Research Letters, 58, 104588. https://doi.org/10.1016/j.frl.2023.104588

Mallek, F., Mazhar, T., Faisal Abbas Shah, S., Ghadi, Y. Y., & Hamam, H. (2024). A review on cultivating effective learning: Synthesizing educational theories and virtual reality for enhanced educational experiences. PeerJ Computer Science, 10, e2000. https://doi.org/10.7717/peerj-cs.2000

Marks, B., & Thomas, J. (2022). Adoption of virtual reality technology in higher education: An evaluation of five teaching semesters in a purpose-designed laboratory. Education and Information Technologies, 27(1), 1287–1305. https://doi.org/10.1007/s10639-021-10653-6

Nalubega, T., & Uwizeyimana, D. E. (2024). Artificial intelligence technologies usage for improved service delivery in Uganda. Africa’s Public Service Delivery and Performance Review, 12(1). https://doi.org/10.4102/apsdpr.v12i1.770

Ratnasari, A., & Sudradjat, I. (2023). Case study approach in post-occupancy evaluation research. ARTEKS : Jurnal Teknik Arsitektur, 8(3), 427–434. https://doi.org/10.30822/arteks.v8i3.2584

Relmasira, S. C., Lai, Y. C., & Donaldson, J. P. (2023). Fostering AI Literacy in Elementary Science, Technology, Engineering, Art, and Mathematics (STEAM) Education in the Age of Generative AI. Sustainability, 15(18), 13595. https://doi.org/10.3390/su151813595

Rompis, L. (2019). A Learning System Design Based on Digital Technology Utilization. SISFORMA, 5(2), 62–67. https://doi.org/10.24167/sisforma.v5i2.1156

Sarma, H., Shaik, M., Tangirala, S. T., & Singh, S. K. (2023). Game-Based Virtual Reality Platform for Geometry. 2023 IEEE International Conference on Big Data (BigData), 4812–4818. https://doi.org/10.1109/BigData59044.2023.10386710

Segura, R. J., Del Pino, F. J., Ogáyar, C. J., & Rueda, A. J. (2020). VR‐OCKS: A virtual reality game for learning the basic concepts of programming. Computer Applications in Engineering Education, 28(1), 31–41. https://doi.org/10.1002/cae.22172

Sempere, I. H., & Espuny, C. V. (2022). Estudios STEM y la brecha digital de género en bachillerato. Edutec. Revista Electrónica de Tecnología Educativa, 81, 55–71. https://doi.org/10.21556/edutec.2022.81.2601

Shen, Y., Ye, X., Meng, Q., & Luo, Y. (2023). Development and Application of Immersive Learning based on Virtual Reality: A Case Study for Mathematics Popularization. Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence, 739–743. https://doi.org/10.1145/3660043.3660175

Su, Y.-S., Cheng, H.-W., & Lai, C.-F. (2022). Study of Virtual Reality Immersive Technology Enhanced Mathematics Geometry Learning. Frontiers in Psychology, 13, 760418. https://doi.org/10.3389/fpsyg.2022.760418

Sugiyono. (2019). Metode penelitian pendidikan pendekatan kuantitatif, kualitatif dan R&D. Alfabeta.

Sun, F., Tian, P., Sun, D., Fan, Y., & Yang, Y. (2024). Pre‐service teachers’ inclination to integrate AI into STEM education: Analysis of influencing factors. British Journal of Educational Technology, bjet.13469. https://doi.org/10.1111/bjet.13469

Suri, I. R. A., Netriwati, N., Kusumaningtyas, F., & Suherman, S. (2024). Virtual learning experimentation with student facilitator and explaining (SFAE) on mathematical representation abilities and understanding mathematics concepts. Alifmatika: Jurnal Pendidikan Dan Pembelajaran Matematika, 6(1), 14–23. https://doi.org/10.35316/alifmatika.2024.v6i1.14-23

Tkachenko, E. N. (2023). Artificial intelligence, opportunities and limitations of its use in education. Entrepreneur’s Guide, 16(3), 57–62. https://doi.org/10.24182/2073-9885-2023-16-3-57-62

Tulak, T., Rubianus, & Maramba’, S. (2024). Optimizing Mathematics Learning Outcomes Using Artificial Intelligence Technology: Optimalisasi Hasil Pembelajaran Matematika Menggunakan Teknologi Artificial Intelligence. MaPan, 12(1), 160–170. https://doi.org/10.24252/mapan.2024v12n1a11

Viera, C. A. (2023). Case Study As A Qualitative Research Methodology. Performance Improvement Journal, 62(4), 125–129. https://doi.org/10.56811/PFI-23-0005

Wang, X., Li, L., Tan, S. C., Yang, L., & Lei, J. (2023). Preparing for AI-enhanced education: Conceptualizing and empirically examining teachers’ AI readiness. Computers in Human Behavior, 146, 107798. https://doi.org/10.1016/j.chb.2023.107798

Wang, Y. (2023). Procedural content generation for VR educational applications: The investigation of AI-based approaches for improving learning experience. Applied and Computational Engineering, 17(1), 23–31. https://doi.org/10.54254/2755-2721/17/20230905




DOI: https://doi.org/10.24815/jdm.v12i1.43850

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Jurnal Didaktik Matematika

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Jurnal Didaktik Matematika by Program Studi Magister Pendidikan Matematika FKIP Universitas Syiah Kuala is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.