Artificial Intelligence and Blended Learning: Challenges, Opportunities, and Future Directions
A special issue of Education Sciences (ISSN 2227-7102). This special issue belongs to the section "Technology Enhanced Education".
Deadline for manuscript submissions: 15 September 2025 | Viewed by 30242
Special Issue Editor
Special Issue Information
Dear Colleagues,
We are pleased to announce a call for papers on the theme of "Artificial Intelligence and Blended Learning: Challenges, Opportunities, and Future Directions". This Special Issue aims to explore the intersection between artificial intelligence (AI) and blended learning, with a focus on innovative research and practical applications that enhance the effectiveness and efficiency of blended learning environments.
Blended learning, combining traditional face-to-face instruction with online or digital components, has become increasingly prevalent in educational settings. AI, with its capabilities in data analysis, machine learning and natural language processing, holds great promise for transforming the landscape of blended learning. It offers opportunities to personalize instruction, provide intelligent tutoring systems, automate assessment processes and create immersive learning experiences.
We invite researchers and practitioners from diverse disciplines to contribute original research papers, case studies and theoretical perspectives that shed light on the potential of AI in enhancing blended learning. The topics of interest include, but are not limited to:
- Adaptive learning platforms and personalized instruction in blended learning;
- Intelligent tutoring systems and their application in blended learning environments;
- Natural language processing for language learning in blended settings;
- Data analytics and learning analytics in blended learning research;
- Automated grading and feedback mechanisms in blended learning assessments;
- Virtual reality (VR) and augmented reality (AR) in blended learning;
- Intelligent content recommendation systems for blended learning;
- Predictive modeling and personalized learning paths in blended learning.
We encourage contributors to explore theoretical frameworks, present empirical studies, and share practical insights on the integration of AI in blended learning. Submissions should demonstrate a clear research methodology, present novel findings, and offer implications for both research and practice.
Accepted papers will be published in a Special Issue of Education Sciences, providing a platform for scholars to disseminate their work to a global audience. This Special Issue will contribute to the advancement of knowledge in the field of blended learning and AI, fostering collaboration and innovation.
Please refer to our journal's website for detailed submission guidelines. We look forward to receiving your contributions and collectively advancing the frontiers of AI in blended learning research and applications
Prof. Dr. Will W. K. Ma
Guest Editor
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
- artificial intelligence (AI)
- blended learning
- information systems
- data analytics
- adaptive learning
- personalized learning
- assessments and feedback
- natural language processing
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