ISSN: 2226-6348
Open access
This research investigates the effectiveness of using questions generated by Chat Generative Pre-trained Transformer (ChatGPT), a large language model, to improve student comprehension and performance in number base conversions. A mathematics course with 340 participants underwent pre-assessment to establish the baseline knowledge. Following a lecture, a subgroup of 170 students received a formative assessment with varying difficulty levels of ChatGPT-generated questions. Post-assessment was administered to all students, aiming to discern improvements and evaluate the impact of ChatGPT-generated questions on learning outcomes. The Wilcoxon-singed rank test revealed a significant enhancement in student performance after the intervention, while the Man-Whitney U test showed that the students who were exposed to the ChatGPT-generated questions scored better than those who did not, and its effectiveness was not gender-biased. More importantly, the findings show that the group exposed to ChatGPT-generated questions not only performed better but also demonstrated a deeper understanding of the material compared to their peers. This suggests that ChatGPT's questions effectively targeted diverse learning needs, potentially by providing personalized learning experiences within the assessment. This research contributes to Artificial Intelligence (AI) integration in education, highlighting ChatGPT's potential to create effective and insightful learning experiences in mathematics courses. This research aims to equip students with essential skills and knowledge that are directly applicable to their academic and professional pursuits in computing and technology. The potential contributions of this research include enhancing students’ computational proficiency, fostering innovative problem-solving abilities, and preparing them for the complex demands of the technology industry.
Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152
Akyuz, Y. (2020). Effects of Intelligent Tutoring Systems (ITS) on Personalized Learning (PL). Creative Education, 11(6), Article 6. https://doi.org/10.4236/ce.2020.116069
Alkhatlan, A., & Kalita, J. (2018). Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments (arXiv:1812.09628). arXiv.
https://doi.org/10.48550/arXiv.1812.09628
Alneyadi, S., & Wardat, Y. (2023). ChatGPT: Revolutionizing student achievement in the electronic magnetism unit for eleventh-grade students in Emirates schools. Contemporary Educational Technology, 15(4), ep448.
https://doi.org/10.30935/cedtech/13417
Azaria, A., Azoulay, R., & Reches, S. (2023). ChatGPT is a Remarkable Tool—For Experts (arXiv:2306.03102). arXiv. https://doi.org/10.48550/arXiv.2306.03102
Can ChatGPT Improve Creative Problem-Solving Performance in University Students? (2023). https://doi.org/10.31234/osf.io/9z2tc
Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Dao, X.-Q., & Le, N.-B. (2023). Investigating the Effectiveness of ChatGPT in Mathematical Reasoning and Problem Solving: Evidence from the Vietnamese National High School Graduation Examination (arXiv:2306.06331). arXiv.
https://doi.org/10.48550/arXiv.2306.06331
Gligorea, I., Cioca, M., Oancea, R., Gorski, A.-T., Gorski, H., & Tudorache, P. (2023). Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review. Education Sciences, 13(12), Article 12. https://doi.org/10.3390/educsci13121216
Haniya, S., & Roberts-Lieb, S. (2017). Differentiated Learning: Diversity Dimensions of e-Learning. In E-Learning Ecologies. Routledge.
Hanum Siregar, F., Hasmayni, B., & Lubis, A. H. (2023). The Analysis of Chat GPT Usage Impact on Learning Motivation among Scout Students. International Journal of Research and Review, 10(7), 632–638. https://doi.org/10.52403/ijrr.20230774
Li, J., Gui, L., Zhou, Y., West, D., Aloisi, C., & He, Y. (2023). Distilling ChatGPT for Explainable Automated Student Answer Assessment (arXiv:2305.12962). arXiv.
https://doi.org/10.48550/arXiv.2305.12962
Lin, X. (2023). Exploring the Role of ChatGPT as a Facilitator for Motivating Self-Directed Learning Among Adult Learners. Adult Learning, 10451595231184928.
https://doi.org/10.1177/10451595231184928
Liu, Y., Baucham, M., Liu, Y., & Baucham, M. (1 C.E., January 1). AI Technology: Key to Successful Assessment (ai-technology) [Chapter]. Https://Services.Igi-Global.Com/Resolvedoi/Resolve.Aspx?Doi=10.4018/978-1-6684-8292-6.Ch016; IGI Global. https://www.igi-global.com/gateway/chapter/www.igi-global.com/gateway/chapter/323556
Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J. H., Ogata, H., Baltes, J., Guerra, R., Li, P., & Tsai, C.-C. (2020). Challenges and Future Directions of Big Data and Artificial Intelligence in Education. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.580820
Mohebi, L. (2024). Empowering learners with ChatGPT: Insights from a systematic literature exploration. Discover Education, 3(1), 36. https://doi.org/10.1007/s44217-024-00120-y
Natal’ya, Kopceva. (2023). Effective learning strategies in the 21st century: The concept of A.A. Ozdogru. 2023, 2(2), 28–55. https://doi.org/10.31804/2782-540x-2023-2-2-28-55
On ChatGPT: what promise remains for multiple choice assessment? | Journal of Learning Development in Higher Education. (n.d.). Retrieved March 1, 2024, from https://journal.aldinhe.ac.uk/index.php/jldhe/article/view/1009
Rajaram, K. (2021). Learning Interventions: Collaborative Learning, Critical Thinking and Assessing Participation Real-Time. In K. Rajaram (Ed.), Evidence-Based Teaching for the 21st Century Classroom and Beyond: Innovation-Driven Learning Strategies (pp. 77–120). Springer. https://doi.org/10.1007/978-981-33-6804-0_3
Rane, N., Choudhary, S., & Rane, J. (2023). Education 4.0 and 5.0: Integrating Artificial Intelligence (AI) for Personalized and Adaptive Learning (SSRN Scholarly Paper 4638365). https://doi.org/10.2139/ssrn.4638365
Rasul, T., Nair, S., Kalendra, D., Robin, M., Santini, F. de O., Ladeira, W. J., Sun, M., Day, I., Rather, R. A., & Heathcote, L. (2023). The role of ChatGPT in higher education: Benefits, challenges, and future research directions. Journal of Applied Learning and Teaching, 6(1), Article 1. https://doi.org/10.37074/jalt.2023.6.1.29
Sánchez-Ruiz, L. M., Moll-López, S., Nuñez-Pérez, A., Moraño-Fernández, J. A., & Vega-Fleitas, E. (2023). ChatGPT Challenges Blended Learning Methodologies in Engineering Education: A Case Study in Mathematics. Applied Sciences, 13(10), Article 10. https://doi.org/10.3390/app13106039
Supriyadi, E., & Kuncoro, K. S. (2023). Exploring the future of mathematics teaching: Insight with ChatGPT. Union: Jurnal Ilmiah Pendidikan Matematika, 11(2), Article 2. https://doi.org/10.30738/union.v11i2.14898
The Influence of ChatGPT on Social Science Students: Insights Drawn from Undergraduate Students in the United States. (2023). Indonesian Journal of Innovation and Applied Sciences. https://doi.org/10.47540/ijias.v3i2.878
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), em2286. https://doi.org/10.29333/ejmste/13272
Willis, V. (2023). The Role of Artificial Intelligence (AI) in Personalizing Online Learning. Journal of Online and Distance Learning, 3(1), Article 1. https://doi.org/10.47941/jodl.1689
(Gadapa et al., 2024)
Gadapa, S. P., Daud, S. B. M., Hui, B. T. C., & Raju, M. R. T. (2024). Enhancing Math Learning with AI: ChatGPT’s Impact on Number Base Conversion Comprehension. International Journal of Academic Research in Progressive Education and Development, 13(3), 992–1008.
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