The Effect of Using ChatGPT on Developing Self-Learning Skills among Students in the Humanities Schools at The University of Jordan
DOI:
https://doi.org/10.35516/Hum.2026.11228Keywords:
Artificial intelligence, ChatGPT, self-learning skills.Abstract
Objectives: The study aims to investigate the impact of using ChatGPT on developing self-learning skills among students in the humanities faculties at the University of Jordan.
Methods: The study employed a quasi-experimental approach. The sample consisted of 43 students from the Faculty of Educational Sciences at the University of Jordan. Two sections were purposively selected, and their members were randomly assigned into two groups: a control group of 21 students and an experimental group of 22 students. A self-learning skills scale, developed by the researchers, was used to collect data before and after the implementation of ChatGPT.
Results: The findings revealed that the use of ChatGPT led to a 21% improvement in self-learning skills among students in the experimental group, compared to those in the control group who did not use the application.
Conclusions: In light of the results, the study recommends adopting the use of ChatGPT, which is based on artificial intelligence, in teaching due to its positive impact on the learning process and its effectiveness in developing self-learning skills among humanities students at the University of Jordan.
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Cazan, A., & Schiopca, B. (2014). Self- directed learning, personality traits and academic achievement. Procedia- Social and Behavioral Sciences, 127, 640- 644. https://doi.org/10.1016/j.sbspro.2014.03.341
Chan, C. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1), 1-25. https://doi.org/10.1186/s41239-023-00408-3
Chiu, T. K., Moorhouse, B. L., Chai, C. S., & Ismailov, M. (2023). Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbot. Interactive Learning Environments, 1, 1-34. https://doi.org/10.1080/10494820.2023.2179964
Graf, S., Kinshuk, & Liu, T. C. (2009). Supporting teachers in identifying students' learning styles in learning management systems: An automatic student modelling approach. Educational Technology & Society, 12(4), 3-14.
Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 5-14. https://doi.org/10.1177/0008125619864925
Hair J., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. (2014). Partial Least Squares Structural Equation Modeling (PLS-SEM): An Emerging Tool in Business Research. European Business Review, 26(2), 106-121. https://doi.org/10.1108/EBR-10-2013-0128
Ilgaz, H., & Çelik, Z. (2023). The Significance of Artificial Intelligence Platforms in Anatomy Education: An Experience with (ChatGPT) and Google Bard. Cureus, 15(9), 1-11. https://doi.org/10.7759/cureus.45301
Khasawneh, F., Al-Shboul, M., Al-Saaideh, R. (2025). The Influence of Midjourney AI on Animation Character Design: A Case Study of Multimedia Design Students at The University of Jordan. International Journal of Interactive Mobile Technologies (iJIM), 19(3), pp. 141–169.
Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 4-10. https://doi.org/10.3390/educsci13040410
Lund, B. (2023). A Brief Review of (ChatGPT): Its Value and the Underlying GPT Technology, Preprint. University of North Texas, Project: (ChatGPT) and Its Impact on Academia. Retrieved on 2/12/2024 from: https://rb.gy/fs5q2h
Pallant, J., & Bailey, C. (2005). Assessment of the structure of the Hospital Anxiety and Depression Scale in musculoskeletal patients. Health and Quality of Life Outcomes, 3, 1-9. https://doi.org/10.1186/1477-7525-3-41
Qazi, S., Kadri, M. B., Naveed, M., Khawaja, B. A., Khan, S. Z., Alam, M. M., & Su’ud, M. M. (2024). AI-Driven Learning Management Systems: Modern Developments, Challenges and Future Trends during the Age of ChatGPT. Computers, Materials & Continua, 80(2), 3289–3314. https://doi.org/10.32604/cmc.2024.048893
Rahman, M. M., & Watanobe, Y. (2023). ChatGPT for education and research: Opportunities, threats, and strategies. Applied Sciences, 13(9), 57-83. https://doi.org/10.3390/app13095783
Rousku, K., Andersson, C., Stenfors, S., Lähteenmäki, I., Limnéll, J., Mäkinen, K., & Rissanen, O. P. (2019). Glimpses of the Future: Data Policy, Artificial Intelligence and Robotisation as Enablers of Wellbeing and Economic Success in Finland. Finland: Ministry of Finance Publications.
Shahnoza, K., Umurzak, C., & Azamat, Z. (2023). The Significance of Artificial Intelligence in the Development of Science, Education and the Digital Economy. Best Journal of Innovation in Science, Research and Development, 2(11), 88-92.
Sheikh, H., Prins, C., & Schrijvers, E. (2023). Artificial Intelligence: Definition and Background. In Mission AI: The new system technology (pp. 15-41). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-21448-6_2
Shu, X., & Xu, C. (2022). Artificial intelligence-based english self-learning effect evaluation and adaptive influencing factors analysis. Mathematical Problems in Engineering, 2022, 1-9. https://doi.org/10.1155/2022/2433407
Somyürek, S. (2015). An effective educational tool: Constructionist learning in Minecraft. Computers & Education, 81, 313-327.
Vallor, S., & Bekey, G. A. (2017). Artificial Intelligence and the Ethics of Self-Learning Robots. In P. Lin, K. Abney, & R. Jenkins (Eds.), Robot Ethics 2.0 (pp. 338–353). Oxford University Press. https://doi.org/10.1016/j.compedu.2014.10.009. https://doi.org/10.1093/oso/9780190652951.003.0024
Wang, Y. (2019). Artificial intelligence-based educational application: a survey of the significance for Chinese education. International Journal of Smart Technology and Learning, 1(4), 295-309. https://doi.org/10.1504/IJSMARTTL.2019.103671
Yu, H. (2023). Reflection on whether Chat GPT should be banned by academia from the perspective of education and teaching. Frontiers in Psychology, 14, 1-12. https://doi.org/10.3389/fpsyg.2023.1181712
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
Zhou, J. (2020). Design of AI-based self-learning platform for college English listening. In 2020 2nd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI), (pp. 544-547), IEEE . https://doi.org/10.1109/MLBDBI51377.2020.000111.
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