New Insights in Artificial Intelligence and E-Learning

Dear Colleagues,

In the modern information society, various information and communication technologies are used to enrich our day-to-day living, yet recently, the development and dissemination of various artificial intelligence technologies is causing further changes to our lives, particularly in the field of education. More specifically, the application of various artificial intelligence technologies in the field of e-learning is gradually raising the status of e-learning to a level equivalent to that of traditional education. In order to properly utilize artificial intelligence in e-learning, a basic understanding of artificial intelligence is required across both private and public education. Meanwhile, the application of artificial intelligence to e-learning also has its limitations, and comes with a range of challenges. It can be concluded that the emergence of artificial intelligence (AI) in education is reshaping teaching and learning models, particularly through digital environments. Consequently, this Special Issue aims to gather together research that critically examines the role of AI in education, with a strong emphasis on its ethical, social, and pedagogical implications. Contributions on topics such as AI literacy, intelligent tutoring systems, adaptive learning, and education in data science, programming, and algorithms are particularly welcome. Special attention will be given to studies addressing the ethics of AI in educational contexts, including algorithmic fairness, data privacy, transparency in automated systems, and the impact on student autonomy. This Special Issue seeks to promote an interdisciplinary approach to understanding both the opportunities and challenges of AI in e-learning, fostering academic dialog and offering guidance for the ethical and effective implementation of AI in digital education.

This Special Issue deals with various topics related to the use of artificial intelligence knowledge and technology in the field of e-learning. Areas of interest include, but are not limited to, the following representative topics:

-Artificial intelligence literacy;

-AI-based tutoring;

-Artificial intelligence ethics;

-AI-based adaptive learning;

-Application of artificial intelligence in education;

-Artificial intelligence convergence education;

-AI-based automatic scoring system;

-Data science education;

-Programming education;

-Algorithm education.

Dr. Woochun Jun
Dr. Pilar García-Díaz
Guest Editors

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