Ahmad, M. F., & Ghapar, W. R. G. W. A. (2019). The era of artificial intelligence in Malaysian higher education: Impact and challenges in tangible mixed-reality learning system toward self-exploration education (SEE). Procedia Computer Science, 163, 2-10.
AL-Qadri, A. H., & Ahmed, S. A. (2023). Assessing the ChatGPT accuracy through principles of statistics exam: A performance and implications. Retrieved from
Ayanawale, A. B., Aladejana, A. O., & Adewale, O. S. (2022). Teachers’ readiness and intention to teach Artificial Intelligence in schools. International Journal of Technology and Educational Marketing, 12(2), 52-64.
Baker, R. S. (2016). Stupid tutoring systems, intelligent humans. International Journal of Artificial Intelligence in Education, 26(2), 600-614.
Bansla, A., & Bansla, N. (2012, January 01). Artificial intelligence. Journal of Artificial Intelligence, 7, 1724-1727.
Bhutoria, A. (2022). Personalized education and Artificial Intelligence in the United States, China, and India: A systematic review using a Human-In-The-Loop model. International Journal of Information Management, 62, 102529.
Celik, I. (2023). Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate Artificial Intelligence (AI)-based tools into education.
Computers in Human Behavior, 138, 107468.
https://doi.org10.1016/j.chb.2022.107468/.
Chatterjee, S., & Bhattacharjee, K. (2020). Adoption of artificial intelligence in higher education: A quantitative analysis using structural equation modeling.
Education and Information Technologies, 25.
https://doi.org/10.1007/s10639-020-10159-7
Cheng, E. C., & Wang, T. K. (2021). An Investigation of barriers to Hong Kong K-12 schools incorporating Artificial Intelligence in education.
Computers and Education: Artificial Intelligence, 2, 100031.
https://doi.org/10.1016/j.caeai.2021.100031 Top of Form
Chen, D., & Wu, J. (2018). Leveraging digital storytelling for critical thinking: A knowledge forensics approach. Ed Media and Innovative Learning Conference, Amsterdam, Netherlands, (pp.52–60).
Chiu, T.K.F., Xia, Q., Zhou, X., Chai, C.S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of Artificial Intelligence in education.
Computers and Education: Artificial Intelligence, 4, 100118.
https://doi.org/10.1016/j.caeai.2022.100118. Top of Form
Cook, C. R., Kilgus, S. P., & Burns, M. K. (2018). Advancing the science and practice of precision education to enhance student outcomes.
Journal of School Psychology, 66, 4-10.
https://doi.org/10.1016/j.jsp.2017.11.004
Kalla, D., & Smith, N. (2023). Study and analysis of chat GPT and its impact on different fields of study.
International Journal of Innovative Science and Research Technology,
8(3). Retrieved from
https://ssrn.com/abstract=4402499
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103(45).
Khan, H. (2021). Types of AI: Different types of artificial intelligence systems. Journal of AI Research, 9(50). https://artificialintelligenceact.com/
Kim, S., Jang, Y., Choi, S., Kim, W., Jung, H., Kim, S., & Kim, H. (2021). Analyzing teacher competency with TPACK for K-12 AI education.
KI-Künstliche Intelligenz,
35(2), 139-151.
https://doi.org/10.1007/s13218-021-00731-9
Knox, J. (2020). Artificial intelligence and education in China. Learning, Media and Technology, 45(3), 298-311.
Lindner, A., Romeike, R., Jasute, E., & Pozdniakov, S. (2019). Teachers’ perspectives on artificial intelligence. In 12th International Conference on Informatics in Schools, Situation, Evaluation and Perspectives, (pp.22 – 29).
Lee, D., Kim, H. H., & Sung, S. H. (2022). Development research on an AI English learning support system to facilitate learner-generated-context-based learning. Educational Technology Research and Development, 70(1), 287-310.
Li, W., & Zhang, L. (2019). Personalized learning path generation based on network embedding and learning effects. 2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) (pp. 316-319). IEEE.
https://doi.org/10.1109/ICSESS47205.2019.9040721
Minn, S. (2022). AI-assisted knowledge assessment techniques for adaptive learning environments. Computers and Education: Artificial Intelligence, 3, 100050.
Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers’ College Record, 108(6), 1017-1054.
Nushi, M., & Momeni, A. (2020). Educational technologies in textbooks: The case of Iranian EAP context. Teaching English with Technology, 20(5), 65-86.
Rožman, M., Oreški, D., & Tominc, P. (2023). Artificial-intelligence-supported reduction of employees’ workload to increase the company’s performance in today’s VUCA Environment.
Sustainability, 15(6).
https://doi.org/10.3390/su15065019
Tang, Y., Liang, J., Hare, R., & Wang, F. Y. (2020). A personalized learning system for parallel intelligent education.
IEEE Transactions on Computational Social Systems, 7(2), 352-361.
https://doi.org/10.1109/TCSS.2020.2965198
Vygotsky, L. S., & Cole, M. (1978). Mind in society: Development of higher psychological processes. Harvard University Press.
Wang, X., Liu, Q., Pang, H., Tan, S. C., Lei, J., Wallace, M. P., & Li, L. (2023). What matters in AI-supported learning: A study of human-AI interactions in language learning using cluster analysis and epistemic network analysis.
Computers & Education, 194, 104703.
https://doi.org/10.1016/j.compedu.2022.104703
Wang, Y., Liu, C., & Tu, Y. F. (2021). Factors affecting the adoption of AI-based applications in higher education. Educational Technology & Society, 24(3), 116-129.