Artificial Intelligence (Generative) Resources

Publishes papers concerned with the application of AI to education. It aims to help the development of principles for the design of computer-based learning systems.

The journal of Artificial Intelligence (AIJ) welcomes papers on broad aspects of AI that constitute advances in the overall field including, but not limited to, cognition and AI, automated reasoning and inference, case-based reasoning, commonsense reasoning, computer vision, constraint processing, ethical AI, heuristic search, human interfaces, intelligent robotics, knowledge representation, machine learning, multi-agent systems, natural language processing, planning and action, and reasoning under uncertainty. The journal reports results achieved in addition to proposals for new ways of looking at AI problems, both of which must include demonstrations of value and effectiveness.

Bearman, M., & Ajjawi, R. (2023). Learning to Work with the Black Box: Pedagogy for a World with Artificial Intelligence. British Journal of Educational Technology, 54(5), 1160–1173.

Jia, S., & Zhang, X. (2021). Teaching Mode of Psychology and Pedagogy in Colleges and Universities Based on Artificial Intelligence Technology. Journal of Physics: Conference Series, 1852(3). https://doi.org/10.1088/1742-6596/1852/3/032033

Xu, J. J., & Babaian, T. (n.d.). Artificial intelligence in business curriculum: The pedagogy and learning outcomes. The International Journal of Management Education, 19(3). https://doi.org/10.1016/j.ijme.2021.100550

Yang (杨晓哲), X., Wang (王晴晴), Q., & Lyu (吕霁月), J. (2024). Assessing ChatGPT’s Educational Capabilities and Application Potential. ECNU Review of Education, 7(3), 699–713. https://doi.org/10.1177/20965311231210006