Generative AI in Education: Current Trends and Future Directions
A special issue of Education Sciences (ISSN 2227-7102).
Deadline for manuscript submissions: closed (15 June 2025) | Viewed by 4421
Special Issue Editors
2. National GENIUS Center, University of Georgia, Athens, GA 30602, USA
3. Department of Mathematics, Science, and Social Studies Education, University of Georgia, Athens, GA 30602, USA
Interests: AI/machine learning-based innovative assessment practices in science; mobile learning in science; science teacher education and career motivation
Special Issues, Collections and Topics in MDPI journals
2. School of Teacher Education, Nanjing Normal University, Nanjing 210023, China
Interests: AI-based innovative assessment practices in science; science teacher education; student attitudes toward science
Special Issue Information
Dear Colleagues,
The burgeoning field of generative artificial intelligence (GenAI) technologies has offered considerable potential to revolutionize the field of education. With various promising GenAI tools for empowering the teaching and learning process, such as enhancing timely feedback and personalized learning, the practice of successfully integrating GenAI in education still remains nebulous. Thus, research is desperately needed to shed light on the strengths and concerns of integrating GenAI in educational environments, both now and in the future.
This Special Issue, titled " Generative AI in Education: Current Trends and Future Directions", aims to explore the possibilities, impacts and challenges associated with implementing GenAI in education in order to deepen the understanding of how GenAI might be leveraged to create a more engaging, effective and equitable teaching and learning environment.
We therefore invite papers that address this topic of interest in a timely manner. This Special Issue is organized around the following themes:
- The development of GenAI applications for educational purposes: this theme includes studies focusing on the development of applications integrating GenAI to empower teaching and learning, such as intelligent tutoring systems, automatic scoring systems, etc.
- Best practices of integrating GenAI in teaching and learning: this theme focuses on the student and teacher experience and performance when incorporating GenAI in real teaching and learning practices.
- The ethical and social issues of GenAI in educational settings: this theme aims to address ethical and social problems when leveraging GenAI in education.
We look forward to receiving your contributions.
Dr. Xiaoming Zhai
Dr. Shuchen Guo
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 double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Education Sciences 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 1800 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 AI (GenAI)
- automatic scoring
- personalized tutoring
- prompt engineering
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