Artificial Intelligence in Education: A Review of Recent Developments and Emerging Trends

Junwei Zuo

doi:10.54691/anywv286

Authors

Junwei Zuo

DOI:

https://doi.org/10.54691/anywv286

Keywords:

Artificial intelligence in education, personalized learning, intelligent assessment, educational technology, machine learning.

Abstract

Educational technology has evolved significantly with the integration of artificial intelligence (AI), transforming traditional teaching methods and learning experiences. Traditional educational approaches often rely on standardized curricula and manual assessment, which limits personalization and efficiency. In recent years, AI has reformed education sector by enhancing learning personalization, assessment accuracy, and administrative efficiency. AI technologies, particularly machine learning and deep learning algorithms, process vast educational datasets to uncover learning patterns and optimize educational outcomes. This review explores the application of AI in education, highlighting advancements in personalized learning systems, intelligent assessment tools, educational management platforms, and online learning technologies. It examines the integration of AI with educational analytics to create comprehensive student profiles and adaptive learning strategies. Furthermore, the review also discusses future directions and ethical considerations, emphasizing AI's potential to reshape education and improve learning outcomes.

Downloads

Download data is not yet available.

References

[1] Lachheb, A., Leung, J., & Sankaranarayanan, R. (2025). AI in higher education: A bibliometric analysis, synthesis, and a critique of research. The Internet and Higher Education, 47, 100789.

[2] Wang, N., Wang, X., & Su, Y. S. (2024). Critical analysis of the technological affordances, challenges and future directions of Generative AI in education: a systematic review. Asia Pacific Journal of Education, 44(1), 1-18.

[3] Zhuang, M., Long, S., & Castellanos-Reyes, D. (2025). The affordances of Artificial Intelligence (AI) and ethical considerations across the instruction cycle: A systematic review of AI in online higher education. The Internet and Higher Education, 47, 100790.

[4] Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, 20(1), 1-23.

[5] Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., ... & Siemens, G. (2023). A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 20(1), 1-25.

[6] Bozkurt, A., Junhong, X., Lambert, S., Pazurek, A., Crompton, H., Koseoglu, S., ... & Jandrić, P. (2023). Speculative futures on ChatGPT and generative artificial intelligence (AI): A collective reflection from the educational landscape. Asian Journal of Distance Education, 18(1), 1-15.

[7] Ali, O., Murray, P. A., Momin, M., Dwivedi, Y. K., & Malik, F. T. (2024). The effects of artificial intelligence applications in educational settings: Challenges and strategies. Technological Forecasting and Social Change, 198, 122982.

[8] Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B. P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221-4241.

[9] Yu, H., & Guo, Y. (2023). Generative artificial intelligence empowers educational reform: current status, issues, and prospects. Frontiers in Education, 8, 1-12.

[10] Rejeb, A., Rejeb, K., Appolloni, A., Treiblmaier, H., & Iranmanesh, M. (2024). Exploring the impact of ChatGPT on education: A web mining and machine learning approach. International Journal of Information Management, 74, 102675.

[11] Kerimbayev, N., Umirzakova, Z., Shadiev, R., & Jotsov, V. (2023). A student-centered approach using modern technologies in distance learning: a systematic review of the literature. Smart Learning Environments, 10(1), 1-15.

[12] Lee, S. J., & Kwon, K. (2024). A systematic review of AI education in K-12 classrooms from 2018 to 2023: Topics, strategies, and learning outcomes. Computers and Education: Artificial Intelligence, 5, 100168.

[13] Dogan, M. E., Goru Dogan, T., & Bozkurt, A. (2023). The use of artificial intelligence (AI) in online learning and distance education processes: A systematic review of empirical studies. Applied Sciences, 13(5), 3056.

[14] Ouyang, F., Xu, W., & Cukurova, M. (2022). The use of artificial intelligence (AI) in online learning and distance education processes: A systematic review of empirical studies. Applied Sciences, 13(5), 3056.

[15] Xu, W., & Ouyang, F. (2022). The application of AI technologies in STEM education: a systematic review from 2011 to 2021. International Journal of STEM Education, 9(1), 1-20.

[16] Halkiopoulos, C., & Gkintoni, E. (2024). Leveraging AI in e-learning: Personalized learning and adaptive assessment through cognitive neuropsychology-A systematic analysis. Electronics, 13(2), 378.

[17] Tan, X., Cheng, G., & Ling, M. H. (2024). Artificial intelligence in teaching and teacher professional development: A systematic review. Computers and Education: Artificial Intelligence, 6, 100170.

[18] Marzuki, M., Widiati, U., Rusdin, D., Darwin, R., & Indrawati, I. (2023). The impact of AI writing tools on the content and organization of students' writing: EFL teachers' perspective. Cogent Education, 10(1), 1-15.

[19] Mao, J., Chen, B., & Liu, J. C. (2024). Generative artificial intelligence in education and its implications for assessment. TechTrends, 68(1), 1-12.

[20] Kelly, A., & Sullivan, M. (2023). ChatGPT in higher education: Considerations for academic integrity and student learning. Journal of Applied Learning and Teaching, 6(1), 1-10.

[21] Wu, X., & Li, H. (2024). A systematic review of AI anxiety in education. AI and Ethics, 5(1), 1-15.

[22] Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2024). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 61(1), 1-15.

[23] Fu, Y., & Weng, Z. (2024). Navigating the ethical terrain of AI in education: A systematic review on framing responsible human-centered AI practices. Computers and Education: Artificial Intelligence, 5, 100169.

[24] Khreisat, M. N., Khilani, D., Rusho, M. A., & Al-Sayed, A. (2024). Ethical implications of AI integration in educational decision making: Systematic review. Education and Information Technologies: Theory and Practice, 29(1), 1-20.