Generative AI Technologies: Shaping the Future of Higher Education

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 885

Special Issue Editors


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Guest Editor
ISCA-UA and Digimedia, University of Aveiro, 3810-500 Aveiro, Portugal
Interests: information and communication technologies in higher education; generative AI in higher education; information and communication overload
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Informatics, University of Piraeus, 18534 Piraeus, Greece
Interests: decision support systems; artificial intelligence; information systems
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Guest Editor Assistant
CEOS.PP, ISCAP, Polytechnic of Porto, R. Jaime Lopes Amorim, 4465-004 Porto, Portugal
Interests: information systems; e-learning; technologies; generative AI in higher education; digital transformation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Generative Artificial Intelligence (GAI) has emerged as a revolutionary technology with significant transformative potential across various sectors, including higher education. GAI tools enable the creation of diverse types of content with impressive precision. These technologies not only facilitate the automation of administrative and educational tasks but also open new possibilities for the teaching and learning process, fostering pedagogical innovation and personalized education.

The use of GAI in higher education encompasses a wide range of applications, ranging from the automatic generation of educational materials and assessments to personalized feedback for students. These technologies also raise important questions about ethics, academic integrity, and institutional issues. Furthermore, significant challenges are posed to educators regarding their roles and readiness, as well as to students in preparing for an evolving job market.

In this Special Issue, we will include studies presenting the latest research findings on the use of Generative AI in higher education contexts. Potential topics include, but are not limited to, the following:

  • Technology Usage Studies: Investigations into how GAI is being implemented and utilized in different higher education institutions;
  • Ethical Aspects: Discussions on the ethical challenges related to the use of GAI;
  • Assessment and Academic Integrity: The impact of GAI on assessment methods and academic integrity practices;
  • Student and Faculty Perceptions: Studies exploring how students and professors perceive and interact with GAI technologies;
  • Institutional Aspects: Analyses of institutional policies and strategies for GAI implementation;
  • Impact on Teaching and Learning: Research on how GAI is transforming teaching and learning processes;
  • Transformation of Teaching and Learning Processes: Case studies on pedagogical innovations facilitated by GAI;
  • Preparation of Students and Faculty: Investigations into how to effectively and ethically prepare educational stakeholders for the use of GAI.

Prof. Dr. Joao Carlos Lopes Batista
Prof. Dr. Anabela Mesquita
Dr. Dimitris Apostolou
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

  • generative artificial intelligence (GAI)
  • higher education
  • pedagogical innovation
  • personalized education
  • ethical challenges
  • academic integrity
  • teaching and learning transformation
  • educational stakeholders preparation

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Published Papers

This special issue is now open for submission.
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