Large AI Models Empower Teaching Reform
A special issue of Education Sciences (ISSN 2227-7102).
Deadline for manuscript submissions: 30 May 2026 | Viewed by 392
Special Issue Editors
Interests: AI education; LLMs; computer vision; digital image processing
Special Issues, Collections and Topics in MDPI journals
Interests: LLMs; AI education; computer vision and virtual reality; artificial intelligence and image processing; mobile application information processing and computing
Special Issues, Collections and Topics in MDPI journals
Interests: AI education; LLMs; big data; software engineering
Special Issue Information
Dear Colleagues,
Large Artificial Intelligence (AI) models have had a positive and profound impact on the field of education. Many universities have progressively integrated large AI models into teaching and learning, yielding numerous outstanding achievements. Large AI models are reshaping education and teaching methods, and both teachers and students will benefit from them.
This Special Issue focuses on the reform driven by large AI models in the educational domain. We invite researchers, educators, and students engaged in AI education worldwide to contribute relevant teaching and research papers. Topics of interest include but are not limited to the following:
The Innovation and Application of Large AI Models: This involves natural language understanding, content creation, and decision-making support in the education field.
AI-enabled Acquisition of Teaching Resources: This involves automatically curating, organizing, and personalizing educational contents from diverse digital sources.
AI-supported Classroom Teaching Case Design: This involves analyzing educational data to suggest engaging and effective instructional strategies and scenarios.
AI-enhanced Teaching Evaluation: This involves providing data-driven insights into student performance and teacher effectiveness through continuous assessment and feedback.
AI Digital Teachers: These tools serve as virtual instructors, delivering personalized lessons and adapting to individual student needs and learning paces in real time.
AI Teaching Assistants: These tools support educators by automating routine tasks, such as grading, tracking attendance, and answering common student queries.
Educational Intelligent Agents: These tools facilitate learning through adaptive feedback, virtual collaboration, and immersive experiences.
AI-enhanced Information Literacy: This involves helping students critically evaluate, filter, and utilize digital literature efficiently.
AI Talent Cultivation for Future Technologies: This involves developing specialized skills in machine learning, data science, and AI ethics to meet the demands of emerging technological landscapes.
Dr. Bingshu Wang
Prof. Dr. Jiangbin Zheng
Dr. Huobin Tan
Dr. Zhi Liu
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
- AI large models
- teaching case design
- teaching evaluation
- educational intelligent agents
- information literacy
- AI teaching assistants
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