Pre-service teachers’ perceptions of the use of artificial intelligence (AI) in mathematics learning

  • Suci Amalia
  • Chaliza Sabina Pulungan
  • Siti Nur Indah
  • Arfika Putri
  • Gea Marsha
Published on: 2026-09-30 Pages: 159-166 Section: Articles https://doi.org/10.70115/notasi.v4i3.641
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Abstract

The excessive use of Artificial Intelligence (AI) carries the potential to foster technological dependency, diminish independent thinking skills, and increase the risk of accepting information that may not be valid-particularly when such information is not subjected to proper verification. In the field of education, the application of AI contributes significantly to enhancing the quality of lesson planning. This technology enables prospective teachers to develop instructional materials more effectively and efficiently, provides access to a diverse range of learning resources, and facilitates the creation of lesson plans that are better tailored to the specific characteristics of students. Furthermore, the use of AI can stimulate creativity and innovation in the development of instructional strategies. This study aims to gather the perspectives of pre-service teachers regarding the use of AI in education by examining their personal experiences and views on its application in lesson planning. Through this approach, the researcher gains a deeper understanding of the meanings, attitudes, and subjective experiences of the respondents within a real-world context. The research instrument consists of an open-ended questionnaire, developed by the researcher and distributed via Google Forms.

 

Keywords

Artificial Inteligence Education Learning Technology

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References

Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20, Article 22. https://doi.org/10.1186/s41239-023-00392-8

Dilling, F., & Herrmann, M. (2024). Using large language models to support pre-service teachers mathematical reasoning-An exploratory study on ChatGPT as an instrument for creating mathematical proofs in geometry. Frontiers in Artificial Intelligence, 7, Article 1460337. https://doi.org/10.3389/frai.2024.1460337

Gurl, T. J., Markinson, M. P., & Artzt, A. F. (2025). Using ChatGPT as a lesson planning assistant with preservice secondary mathematics teachers. Digital Experiences in Mathematics Education, 11, 114–139. https://doi.org/10.1007/s40751-024-00162-9

Hasibuan, N. H., Safitri, S., & Ariska, I. (2024). Teknik pengolahan skor hasil evaluasi. Jurnal Mudabbir (Journal Research and Education Studies), 4(2), 460–475. https://doi.org/10.56832/mudabbir.v4i2.646

Kalnina, D., Nīmante, D., & Baranova, S. (2024). Artificial intelligence for higher education: Benefits and challenges for pre-service teachers. Frontiers in Education, 9, 1501819. https://doi.org/10.3389/feduc.2024.1501819

Kanvaria, V. K., & Ritika. (2024). Exploring the integration of artificial intelligence in lesson planning for pre-service teachers. Indian Journal of Educational Technology, 6(II), 340–345. https://journals.ncert.gov.in/IJET/article/view/455

Kasneci, E., et al. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, Article 102274. https://doi.org/10.1016/j.lindif.2023.102274

Kumar Rao, K. S., & Nag, M. K. (2026). Role of Artificial Intelligence in Revolutionizing Lesson Plan for Teaching: A Systematic Review. Research Review International Journal of Multidisciplinary, 11(4). https://doi.org/10.31305/rrijm.2026.v11.n04.031

Ma’ruf, A., Sartono, E. K. E., Kawuryan, S. P., & Ferdiansyah. (2026). Reconstructing ethical readiness for ChatGPT integration in pre-service teacher education. International Journal of Learning, Teaching and Educational Research, 25(6), 295–314. https://doi.org/10.26803/ijlter.25.6.12

Meyer, J. G., Urbanowicz, R. J., Martin, P. C. N., O’Connor, K., Li, R., Peng, P.-C., Bright, T. J., Tatonetti, N., & Won, K. J. (2023). ChatGPT and large language models in academia: Opportunities and challenges. BioData Mining, 16, Article 20. https://doi.org/10.1186/s13040-023-00339-9

Miao, F., & Cukurova, M. (2024). AI competency framework for teachers. UNESCO. https://www.unesco.org/en/articles/ai-competency-framework-teachers

Miao, F., & Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO. https://doi.org/10.54675/EWZM9535

Nuruddien, M., Basyar, M. F., Fajrin, R. I. M., & Fikri, M. (2025). Penggunaan skor dan skala pengukuran dalam evaluasi pembelajaran PAI: Konsep problematika, dan solusi. Iseedu: Journal of Islamic Educational Thoughts and Practices, 9(2), 213–223. https://doi.org/10.23917/iseedu.v9i2.11826

Sun, Y., & Huang, Y. (2025). Exploring the role of generative AI in collaborative lesson planning for pre-service teachers. Journal of Computer Assisted Learning, 41(4), Article e70098. https://doi.org/10.1111/jcal.70098

Tarwanto, R. A., Sujana, Y., & Prakisya, N. P. T. (2026). The Role of Artificial Intelligence in Enhancing Critical Thinking in Education: A Systematic Literature Review. Indonesian Journal of Informatics Education. https://doi.org/10.20961/ijie.v9i2.103868

Van den Berg, G., & du Plessis, E. (2023). ChatGPT and generative AI: Possibilities for its contribution to lesson planning, critical thinking and openness in teacher education. Education Sciences, 13(10), Article 998. https://doi.org/10.3390/educsci13100998

Zainal, N. F. (2020). Pengukuran, assessment dan evaluasi dalam pembelajaran matematika. LAPLACE: Jurnal Pendidikan Matematika, 3(1), 8–26. https://doi.org/10.31537/laplace.v3i1.310

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education-Where are the educators? International Journal of Educational Technology in Higher Education, 16, Article 39. https://doi.org/10.1186/s41239-019-0171-0

Zhuang, Y., & Zhang, S. (2025). Pre-service mathematics teachers’ perceptions of using GenAI for practicing teacher questioning: A semester-long study. Eurasia Journal of Mathematics, Science and Technology Education, 21(9), Article em2689. https://doi.org/10.29333/ejmste/16764

Author Biography

  • Chaliza Sabina Pulungan , Universitas Asahan

     .

Issue: Vol. 4 No. 3 (2026): September

How to Cite

How to Cite

Pre-service teachers’ perceptions of the use of artificial intelligence (AI) in mathematics learning. (2026). NOTASI: Jurnal Pendidikan Matematika , 4(3), 159-166. https://doi.org/10.70115/notasi.v4i3.641

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