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Innovative Applications of Artificial Intelligence in Education
This special issue belongs to the section “Computing and Artificial Intelligence“.
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) has become an integral force in modern life, significantly optimizing efficiency across commercial and industrial sectors. However, its impact is perhaps most profound in the field of education, where it promises to revolutionize the student experience. By embedding intelligent modules into learning environments, AI facilitates a shift toward personalized instruction, adaptive assessment, and emotional responsiveness. This integration allows for a comprehensive educational approach that not only tracks academic progress but also addresses the affective needs of learners, creating a more supportive environment.
Recent advancements in hardware and software have further accelerated this progress, yielding superior learning outcomes. Notably, Generative AI—exemplified by the rapid rise in ChatGPT—has emerged as a pivotal innovation. By enabling the creation of dynamic text and media through user prompts, these tools are actively reshaping teaching methodologies within educational institutions.
This Special Issue calls on the academic community and research groups specializing in Artificial Intelligence in Education (AIEd) to submit their latest research on innovative AI-driven educational technologies. The central objective is to demonstrate the transformative power of these innovations in adapting and improving learning methods to meet contemporary demands through the effective application of AI tools.
The scope of the Special Issue includes, but is not limited to, the following topics:
- Generative artificial intelligence in education.
- LLM in education.
- Intelligent Learning/Tutoring Environments/Systems.
- Intelligent chatbots for education.
- Metaverso.
- Affective tutoring systems.
- Authoring tools for intelligent tutoring systems.
- Sentiment analysis on educational applications.
- Gamification and game-based learning.
- Learning analytics.
- Data Science in Education.
Prof. Dr. María Lucia Barrón-Estrada
Prof. Dr. Ramón Zatarain-Cabada
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 250 words) can be sent to the Editorial Office for assessment.
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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
- artificial intelligence
- advanced learning technologies
- generative AI
- LLM in education
- pedagogical agents
- personalized learning
- affective computing
- intelligent learning environments
- intelligent tutoring systems
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