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Matematik Öğretiminde Yapay Zekanın Rolü: Eğitimde Kullanılan Araçların İncelenmesi

Year 2024, Volume: 11 Issue: 1, 65 - 78, 18.07.2024
https://doi.org/10.33907/turkjes.1415591

Abstract

Bu çalışma, matematik eğitiminde yapay zeka teknolojilerinin kullanımını ele almakta ve bu teknolojilerin matematik öğretimindeki rolünü araştırmaktadır. Araştırma öncelikle literatür taraması yöntemiyle mevcut yapay zeka araçlarını ve bu araçların matematik eğitimindeki potansiyelini incelemektedir. Araştırmanın temel bulguları, yapay zeka araçlarının öğrencilerin çeşitli matematik becerilerini geliştirmede etkili olduğunu göstermektedir. Bu araçlar, öğrencilere farklı matematik konularında rehberlik edebilir ve öğrenme süreçlerini kişiselleştirebilir. Araştırma, bu araçların matematiksel düşünme, problem çözme ve analitik beceriler gibi alanlarda öğrencilere yardımcı olabileceğini ortaya koymaktadır. Araştırmada, matematik eğitimi için uygun olduğu belirlenen çeşitli yapay zeka araçları tanıtılmakta ve bu araçların öğrencilerin hangi matematik becerilerini geliştirebileceği tartışılmaktadır. Bu araçlar arasında interaktif öğrenme platformları, adaptif test sistemleri ve sanal gerçeklik uygulamaları bulunmaktadır. Sonuç olarak, çalışma yapay zeka teknolojilerinin matematik eğitiminde önemli bir rol oynayabileceğini ve bu teknolojilerin daha fazla deneysel ve literatür çalışmalarıyla desteklenmesi gerektiğini önermektedir. Bu çalışmalar, eğitimcilerin ve öğrencilerin yapay zeka araçlarını daha etkin bir şekilde kullanmalarına yardımcı olacaktır.

References

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  • Soesanto, R., Dirgantoro, K., & Priyanti, N. (2022). Indonesian students’ perceptions towards AI-based learning in mathematics. Journal on Mathematics Education, 13(3), 531-548. https://doi.org/10.22342/jme.13.3.18645.531-548
  • Şekeroğlu, B., Dimililer, K., & Tuncal, K. (2019). Artificial intelligence in education: Application in student performance evaluation. Dilemas Contemporáneos: Educación, Política y Valores, 7(1), 1-21.
  • Van Vaerenbergh, S., & Pérez-Suay, A. (2022). A classification of artificial intelligence systems for mathematics education. In A. B. Aslan (Ed.), Mathematics education in the age of artificial intelligence: How artificial intelligence can serve mathematical human learning (pp. 89-106). Springer. https://doi.org/10.1007/978-3-030-94852-3_6
  • Voskoglou, M., & Salem, A. (2020). Benefits and limitations of the artificial with respect to the traditional learning of mathematics. Mathematics, 8(4), 611. https://doi.org/10.3390/math8040611
  • Wogu, I. A. P., Misra, S., Olu-Owolabi, E. F., Assibong, P. A., & Udoh, O. D. (2018). Artificial intelligence, artificial teachers and the fate of learners in the 21st century education sector: Implications for theory and practice. International Journal of Pure and Applied Mathematics, 119(16), 2245-2259.
  • Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., & Li, Y. (2021). A review of artificial intelligence (AI) in education from 2010 to 2020. Complexity, 2021, 1-18. https://doi.org/10.1155/2021/8812542
  • Zhang, K., & Aslan, A. B. (2021). AI technologies for education: Recent research & future directions. Computers and Education: Artificial Intelligence, 2, 100025. https://doi.org/10.1016/j.caeai.2021.100025.
Year 2024, Volume: 11 Issue: 1, 65 - 78, 18.07.2024
https://doi.org/10.33907/turkjes.1415591

Abstract

References

  • Cao, M., Li, D., & Jun, W. (2020). A study of college English culture intelligence-aided teaching system and teaching pattern. English Language Teaching, 13(3), 77. https://doi.org/10.5539/elt.v13n3p77
  • Cóndor-Herrera, O., & Ramos-Galarza, C. (2020). The impact of a technological intervention program on learning mathematics skills. Education and Information Technologies, 26, 1423-1433. https://doi.org/10.1007/s10639-020-10308-y
  • Felix, C. V. (2020). The role of the teacher and AI in education. In International perspectives on the role of technology in humanizing higher education (pp. 33-48). Emerald Publishing Limited. https://doi.org/10.1108/978-1-83982-130-520201003
  • Gadanidis, G. (2017). Artificial intelligence, computational thinking, and mathematics education. International Journal of Information and Learning Technology, 34(2), 133-139. https://doi.org/10.1108/IJILT-09-2016-0048
  • Han, Y. (2020, December). Research on the reform of education and teaching methods in the era of artificial intelligence. In 2020 6th International Conference on Social Science and Higher Education (ICSSHE 2020) (pp. 338-342). Atlantis Press. https://doi.org/10.2991/assehr.k.201214.067
  • Heng, T., & Tabunshchyk, V. (2021). Teaching tech to talk: K-12 conversational artificial intelligence literacy curriculum and development tools. Proceedings of the AAAI Conference on Artificial Intelligence, 35(17), 15655-15663. https://doi.org/10.1609/aaai.v35i17.17762
  • Hidayat, R., Mohamed, M., Suhaizi, N., Sabri, N., Mahmud, M., & Baharuddin, S. (2022). Artificial intelligence in mathematics education: A systematic literature review. International Electronic Journal of Mathematics Education, 17(3), em0694. https://doi.org/10.29333/iejme/12070
  • Huang, M., Liu, S., Zhang, Y., Cui, K., & Wen, Y. (2022). Basic theory and practice teaching method based on the cerebellar model articulation controller learning algorithm. Wireless Communications and Mobile Computing, 2022, 1-11. https://doi.org/10.1155/2022/2464503
  • Humble, N., & Mozelius, P. (2019, October). Artificial intelligence in education—a promise, a threat or hype? In European Conference on the Impact of Artificial Intelligence and Robotics 2019 (ECIAIR 2019), Oxford, UK (pp. 149-156). Academic Conferences and Publishing International Limited. https://doi.org/10.34190/ECIAIR.19.035
  • Hwang, G. J., & Tu, Y. F. (2021). Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Mathematics, 9(6), 584. https://doi.org/10.3390/math9060584
  • Jian, H., Shen, G., & Ren, X. (2021). Connotation analysis and paradigm shift of teaching design under artificial intelligence technology. International Journal of Emerging Technologies in Learning (iJET), 16(05), 73. https://doi.org/10.3991/ijet.v16i05.21065
  • Karal, H., Nabiyev, V., Erümit, A. K., Arslan, S., & Çebi, A. (2014). Students’ opinions on artificial intelligence-based distance education system (Artimat). Procedia-Social and Behavioral Sciences, 136, 549-553. https://doi.org/10.1016/j.sbspro.2014.05.384
  • Koedinger, K. R., Brunskill, E., Baker, R. S., McLaughlin, E. A., & Stamper, J. (2013). New potentials for data-driven intelligent tutoring system development and optimization. AI Magazine, 34(3), 27-41. https://doi.org/10.1609/aimag.v34i3.2484
  • Manyika, J., Chui, M., Miremadi, M., Bughin, J., George, K., Willmott, P., & Dewhurst, M. (2017). A future that works: Automation, employment, and productivity. McKinsey Global Institute.
  • Mohammed, P. S., & Watson, E. N. (2019). Towards inclusive education in the age of artificial intelligence: Perspectives, challenges, and opportunities. In J. Knox, Y. Wang, & M. Gallagher (Eds.), Artificial intelligence and inclusive education: Perspectives on rethinking and reforming education (pp. 219-230). Springer. https://doi.org/10.1007/978-981-13-8161-4_12
  • Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO.
  • Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26 (2), 582-599. https://doi.org/10.1007/s40593-016-0108-x
  • Soesanto, R., Dirgantoro, K., & Priyanti, N. (2022). Indonesian students’ perceptions towards AI-based learning in mathematics. Journal on Mathematics Education, 13(3), 531-548. https://doi.org/10.22342/jme.13.3.18645.531-548
  • Şekeroğlu, B., Dimililer, K., & Tuncal, K. (2019). Artificial intelligence in education: Application in student performance evaluation. Dilemas Contemporáneos: Educación, Política y Valores, 7(1), 1-21.
  • Van Vaerenbergh, S., & Pérez-Suay, A. (2022). A classification of artificial intelligence systems for mathematics education. In A. B. Aslan (Ed.), Mathematics education in the age of artificial intelligence: How artificial intelligence can serve mathematical human learning (pp. 89-106). Springer. https://doi.org/10.1007/978-3-030-94852-3_6
  • Voskoglou, M., & Salem, A. (2020). Benefits and limitations of the artificial with respect to the traditional learning of mathematics. Mathematics, 8(4), 611. https://doi.org/10.3390/math8040611
  • Wogu, I. A. P., Misra, S., Olu-Owolabi, E. F., Assibong, P. A., & Udoh, O. D. (2018). Artificial intelligence, artificial teachers and the fate of learners in the 21st century education sector: Implications for theory and practice. International Journal of Pure and Applied Mathematics, 119(16), 2245-2259.
  • Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., & Li, Y. (2021). A review of artificial intelligence (AI) in education from 2010 to 2020. Complexity, 2021, 1-18. https://doi.org/10.1155/2021/8812542
  • Zhang, K., & Aslan, A. B. (2021). AI technologies for education: Recent research & future directions. Computers and Education: Artificial Intelligence, 2, 100025. https://doi.org/10.1016/j.caeai.2021.100025.
There are 24 citations in total.

Details

Primary Language Turkish
Subjects Educational Psychology
Journal Section Research Article
Authors

Buşra Nayıroğlu 0000-0003-2440-2445

Tayfun Tutak 0000-0002-0277-6377

Publication Date July 18, 2024
Submission Date January 6, 2024
Acceptance Date July 1, 2024
Published in Issue Year 2024 Volume: 11 Issue: 1

Cite

APA Nayıroğlu, B., & Tutak, T. (2024). Matematik Öğretiminde Yapay Zekanın Rolü: Eğitimde Kullanılan Araçların İncelenmesi. Turkish Journal of Educational Studies, 11(1), 65-78. https://doi.org/10.33907/turkjes.1415591