Harnessing AI-Powered Learning Media in Mathematics Education: A Systematic Review on Improving Students’ Problem-Solving Skills
Article Sidebar
Page Numbers:
925-945
Digital Object Identifier:
10.58578/ijemt.v3i3.7922
Viewed: 811 times
Downloaded: 362 times
LYAS Publisher cordially invites qualified professionals to serve as Editors or Reviewers. Your expertise will make an important contribution to maintaining and strengthening the academic quality of our publications. Interested applicants are kindly requested to complete the application form at the following link: Editors & Reviewers
Please feel free to contact us if you need any further information about the submission process or if you have any additional questions.
Authors:
Werdi Lestari1*, Gede Suweken2, Sariyasa Sariyasa3 
Copyright :
Authors retain copyright and grant the journal right of first publication.
Main Article Content
Abstract
Although the integration of Artificial Intelligence (AI) in education has received growing attention, limited research has explicitly examined the development and application of AI-assisted exploratory learning media in mathematics. This study aims to analyze the characteristics, implementation, and potential effectiveness of AI-based learning tools in enhancing students’ mathematical problem-solving and critical thinking skills. A Systematic Literature Review (SLR) was conducted, drawing from studies published between 2016 and 2025 in the Google Scholar and Scopus databases. Using predefined inclusion and exclusion criteria, 20 relevant articles were selected and thematically synthesized to identify prevailing trends and research gaps. The findings reveal that AI integration in mathematics education predominantly supports personalized, adaptive, and interactive learning, fostering deeper conceptual understanding and the development of higher-order thinking skills. However, few studies have focused specifically on AI-assisted mathematics learning media. Key challenges identified include insufficient teacher preparedness, ethical concerns surrounding AI deployment, and the complexity of integrating AI tools into existing curricula. The study contributes theoretically by positioning AI as a cognitive and dialogic partner in the learning process, rather than a purely computational instrument. It also offers practical insights into the design and implementation of AI-supported learning environments. The analysis concludes that when integrated with digital tools such as EdCafe AI, GeoGebra, Scratch, and Canva, AI-assisted exploratory media can significantly enhance students’ conceptual mastery and problem-solving capabilities in mathematics. The study recommends targeted teacher training, the development of ethical frameworks for AI use, and increased empirical research to support responsible, student-centered implementation of AI in mathematics education.
Citation Metrics:
Downloads
Article Details
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
References
Ardana, I. M., Ariawan, I. P. W., & Divayana, D. G. H. (2017). Measuring the Effectiveness of BLCS Model (Bruner , Local Culture , Scaffolding) in Mathematics Teaching by using Expert System-Based. International Journal Education and Management Engineering, 4(July), 1–12. https://doi.org/10.5815/ijeme.2017.04.01
Ardana, I. M., Ariawan, I. P. W., & Sugandini, W. (2023). Character Development Through Collaboration Between Teachers , Parents , and Students in Online Learning. Jurnal Edutech Undiksha, 11(1), 11–19. https://doi.org/10.23887/jeu.v11i1.62680
Ariawan, I. P. W., Suyasa, P. W. A., Adiarta, A., Sukawijana, I. K. G., Santiyadnya, N., & Divayana, D. G. H. (2025). User Interface Design of Digital Test Based on Backward Chaining as a Measuring Tool for Students ’ Critical Thinking. International Journal of Advanced Computer Science and Applications, 16(1), 584–590. https://doi.org/10.14569/IJACSA.2025.0160156
Badaruddin, B., Parhanuddin, L., Tohri, A., & Suhardi, M. (2025). The Effect of AI (Artificial Intelligence) in Education on Student Motivation : A Systematic Literature Review. Journal for Lesson and Learning Studies, 8(1), 1–10. https://doi.org/10.23887/jlls.v8i1.91141
Baidoo-anu, D., & Ansah, L. O. (2023). Education in the Era of Generative Artificial Intelligence ( AI ): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. Journal of AI, 7(1), 52–62. https://doi.org/10.3845963/joai.10vi19.395
Cahyaningrum, K. A. K., Ardana, I. M., & Suweken, G. (2025). Development of a Problem-Based Interactive E-Module with Social Emotional Learning in Tri Hita Karana to Enhance Mathematical Problem-Solving and Noble Character. International Journal of Education, Management, and Technology, 3(1), 360–374. https://doi.org/10.58578/ijemt.v3i1.5169
Candiasa, I. M., Mertasari, N. M. S., Sastri, N. L. P. P., & Oya, A. (2025). Variation of problem-posing approaches to improve learning outcomes and problem-posing abilities of prospective mathematics teachers. Journal of Education and E-Learning Research, 12(3), 374–381. https://doi.org/10.20448/jeelr.v12i3.6911
Carabantes, M. (2019). Black-box artificial intelligence : an epistemological and critical analysis. AI & SOCIETY, 14(10), 1–19. https://doi.org/10.1007/s00146-019-00888-w
Dasari, D., Hendriyanto, A., Ariawan, I. P. W., Muhaimin, L. H., & Pahmi, S. (2025). Crafting epistemic knowledge in statistics education via didactical engineering integrating the theory of didactical situations and the SECI model. Discover Sustainability, 6(928), 1–32. https://doi.org/10.1007/s43621-025-01838-x
Davies, A., Veličković, P., Buesing, L., Blackwell, S., Zheng, D., Tomašev, N., Tanburn, R., Battaglia, P., Blundell, C., Juhász, A., Lackenby, M., Williamson, G., Hassabis, D., & Kohli, P. (2021). Advancing mathematics by guiding human intuition with AI. Nature, 600(December), 70–79. https://doi.org/10.1038/s41586-021-04086-x
Divayana, D. G. H., Suyasa, P. W. A., & Widiartini, N. K. (2021). An innovative model as evaluation model for information technology-based learning at ICT vocational schools. Heliyon, 7(2), 1–15. https://doi.org/10.1016/j.heliyon.2021.e06347
Engelbrecht, J., & Borba, M. C. (2024). Recent developments in using digital technology in mathematics education. ZDM – Mathematics Education, 56(2), 281–292. https://doi.org/10.1007/s11858-023-01530-2
Favero, L., Pérez-ortiz, J. A., Käser, T., & Oliver, N. (2024). Enhancing Critical Thinking in Education by means of a Socratic Chatbot. AIEER, 12(1), 1–11. https://doi.org/10.2409/aieer.05511v1
Guan, L., Zhang, Y., & Gu, M. M. (2025). Pre-service teachers preparedness for AI-integrated education : An investigation from perceptions , capabilities , and teachers ’ identity changes ⋆. Computers and Education: Artificial Intelligence, 8(December 2024), 100341. https://doi.org/10.1016/j.caeai.2024.100341
Ismail, N. S., Mertasari, N. M. S., & Widiartini, N. K. (2025). The Impact of Problem-Based Learning and HOTS Based Formative Tests on Critical Thinking. International Journal of Humanities, Education, and Social Sciences, 3(1), 26–46. https://doi.org/10.58578/IJHESS.v3i1.4296
Lubbe, A., Marais, E., & Kruger, D. (2025). Cultivating independent thinkers : The triad of artificial intelligence , Bloom ’ s taxonomy and critical thinking in assessment pedagogy. In Education and Information Technologies (Vol. 30, Issue 12). Springer US. https://doi.org/10.1007/s10639-025-13476-x
Manorat, P., Tuarob, S., & Pongpaichet, S. (2025). Computers and Education : Artificial Intelligence Artificial intelligence in computer programming education : A systematic literature review. Computers and Education: Artificial Intelligence, 8(April), 100403. https://doi.org/10.1016/j.caeai.2025.100403
Nam, B. H., & Bai, Q. (2023). ChatGPT and its ethical implications for STEM research and higher education : a media discourse analysis. International Journal of STEM Education, 10(66), 1–24. https://doi.org/10.1186/s40594-023-00452-5
Noviyanti, P. L., Ardana, I. M., & Supartha, I. N. (2025). Analysis of Students ’ Academic Self-Concept and Metacognitive Skills in Problem-Based Learning in Senior High School. International Conference Proceedings Universitas Islam Balitar Blitar, 1(1), 436–446.
Ojeda-Bazaran, M.-Jo., Chamba-Eras, L., Labanda-Jaramillo, M., Fierro-Saltos, W., Conde-Zhingre, L., Orellana-Malla, A., Romero-Flores, M., Cueva-Alvarado, G., Irene-Robalino, D., Chamba-Eras, I., & Erreyes-Pinzon, D. (2021). State of the Art of Teaching-Learning of Artificial Intelligence at Early Ages. 2021 XVI Latin American Conference on Learning Technologies (LACLO), 1(October), 1–9. https://doi.org/10.1109/LACLO54177.2021.00024
Owan, V. J., Abang, K. B., & Idika, D. O. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment Exploring the potential of artificial intelligence tools in educational measurement and assessment. June. https://doi.org/10.29333/ejmste/13428
Roll, I., & Wylie, R. (2016). Evolution and Revolution in Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education, 26(1), 582–599. https://doi.org/10.1007/s40593-016-0110-3
Sasikala, P., & Ravichandran, R. (2024). Study on the Impact of Artificial Intelligence on Student Learning Outcomes. Journal of Digital Learning and Education, 04(2), 145–155. https://doi.org/10.52562/jdle.v4i2.1234
Sinaga, E. K., Panjaitan, N. H., & Suhairiani, S. (2024). Effectiveness of Using AI-Based Contextual Mathematics Teaching Materials on Integral Material for Improving Mathematical Problem Solving for Civil Enginering Students. Proceedings of the 6th International Conference on Innovation in Education, Science, and Culture, ICIESC 2024, 6(1), 1–7. https://doi.org/10.4108/eai.17-9-2024.2353023
Suardika, I. M. D., Pujawan, I. G. N., & Divayana, D. H. (2025). Effect of Problem-Based Learning with Interactive Animation Videos on Math Problem-Solving and Critical Thinking Skillstype. International Journal of Education, Management, and Technology, 3(1), 13–29. https://doi.org/10.58578/IJEMT.v3i1.4320
Suharmita, S., Mulyono, M., Fauzi, K. A., & Suharyanisa, S. (2024). Development of E-Modul Based on a Problem Based Learning Model to Improve Problem Solving Ability and Appreciation of Mathematics at SMP Dharma Pancasila Medan. Prima: Jurnal Pendidikan Matematika, 8(2), 416. https://doi.org/10.31000/prima.v8i2.11227
Susilana, R., Setiawan, B., & Rahayu, S. (2025). Soft Skills in Jeopardy : The Impact of AI on Future Generations of Students. Indonesian Journal of Educational Research and Review, 8(1), 133–145. https://doi.org/10.23887/ijerr.v8i1.82875
Tan, X., Cheng, G., & Ling, M. H. (2025). Computers and Education : Artificial Intelligence Artificial intelligence in teaching and teacher professional development : A systematic review. Computers and Education: Artificial Intelligence, 8(October 2024), 100355. https://doi.org/10.1016/j.caeai.2024.100355
Tashtoush, M. A., Qasimi, A. B., & Hussein, L. A. (2025). The Efficacy of Utilizing Artificial Intelligence Techniques in Developing Critical Thinking in Mathematics among Secondary School Students and their Attitudes Toward it. Iraqi Journal for Computes Sciences and Mathematics, 6(1), 37–50.
Ulya, V. H. (2025). Development of AI-Based Learning E-Module with Discovery Learning Approach to Improve Students’ Mathematical Problem-Solving Ability. Jurnal Univ Pendidikan Ganesha, 4(1), 341–354.
Wardat, Y., Tashtoush, M. A., AlAli, R., & Jarrah, A. M. (2023). ChatGPT : A revolutionary tool for teaching and learning mathematics. Eurasia Journal of Mathematics, Science and Technology Education, 19(7), 1–18. https://doi.org/10.29333/ejmste/13272
Yu, H. (2023). Reflection on whether Chat GPT should be banned by academia from the perspective of education and teaching. Frontiers in Psychology, 14(1181712), 1–12. https://doi.org/10.3389/fpsyg.2023.1181712
Yuliana, Y., Tukiyo, T., Tasari, T., & Kurdhi, N. A. (2025). Sikuadrat : Mathematics learning media with the Merdeka flow in solving quadratic equations and functions. Salud, Ciencie y Technologia, 5(1031), 1–15. https://doi.org/10.56294/saludcyt20251031
Zafari, M., Bazargani, J. S., Sadeghi-niaraki, A., & Choi, S. (2022). Artificial Intelligence Applications in K-12 Education : A Systematic Literature Review. IEEE Access, 10(June), 61905–61921. https://doi.org/10.1109/ACCESS.2022.3179356