Human–Computer Interactions and Computer-Assisted Education

Dear Colleagues,

Rapid advances in human–computer interaction (HCI) and computer-assisted education (CAE) technologies are redefining the dynamics between learners, educators, and digital platforms. This Special Issue seeks to bring together interdisciplinary perspectives on the design, implementation, and evaluation of HCI and CAE systems, with a particular focus on their potential to enhance the educational experience. Key areas of interest include user-centered design principles, adaptive learning methodologies, the integration of artificial intelligence (AI) in education, and innovative strategies for improving accessibility and engagement across diverse learner populations.

In light of the growing prominence and capabilities of generative AI (Gen-AI) technologies, such as large language models, this Special Issue particularly welcomes contributions that examine their transformative potential in educational contexts. Gen-AI holds unprecedented promise for personalizing learning trajectories, automating feedback, and fostering creativity among students. Researchers are invited to explore the ethical considerations, practical challenges, and technical implications of embedding generative AI within HCI and CAE systems. Submissions that propose novel frameworks, methodologies, or applications to address these challenges are especially encouraged.

Dr. Chien-Hung Lai
Prof. Dr. Gholamreza Anbarjafari
Guest Editors

Manuscript Submission Information

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