Human–Computer Interactions and Computer-Assisted Education
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 28
Special Issue Editors
Interests: learning performance diagnosis; game-based learning; analysis of the associative reasoning learning method; use of handheld devices and computer systems to assist learning; assisted programming learning strategies
Interests: machine learning; computer vision; human–computer interaction; emotion recognition; deep learning; human behaviour analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- human–computer interactions (HCIs)
- computer-assisted education (CAE)
- generative AI in education
- adaptive learning technologies
- user-centered design
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