Artificial Intelligence Enhanced Learning Environments: How AI Tools Are Reshaping Teaching Practice and Student Competencies
A special issue of Education Sciences (ISSN 2227-7102). This special issue belongs to the section "Technology Enhanced Education".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 567
Editors
Interests: AI integration in health professions education; pedagogical innovation in clinical education; technology-enhanced learning in professional programs
Interests: evolving role of generative AI in education and clinical practice; students’ and clinicians’ perceptions and use of AI tools; how AI-generated study materials affect student readiness; AI writing tutors
Special Issue Information
Dear Colleagues,
The rapid integration of artificial intelligence tools into educational settings represents one of the most significant technological shifts in contemporary classrooms. As generative AI becomes ubiquitous in students' academic lives, educators worldwide are grappling with fundamental questions about how teaching, learning, and assessment must evolve. Unlike previous educational technologies that supplemented existing practices, AI tools are prompting wholesale pedagogical redesign—requiring teachers to reimagine what students should produce, how intellectual work should be scaffolded, and what competencies constitute genuine learning in an AI-saturated world. This transformation extends beyond technical adoption to encompass the development of new literacies: students must learn not only to use AI tools but to evaluate their outputs critically, understand their limitations, collaborate effectively in human–AI partnerships, and maintain intellectual agency in technology-mediated learning environments.
This Special Issue aims to present and disseminate empirical research on how AI integration is transforming classroom practice and fostering new forms of literacy. We seek contributions that document observable pedagogical shifts, examine the development of AI-related competencies, explore innovative assessment approaches, and investigate how teachers are learning to navigate AI-enhanced instruction. We particularly welcome studies grounded in actual classroom contexts with evidence of teaching practice and student learning over time.
Topics of interest for publication include, but are not limited to, the following:
- Case studies of course redesign in response to AI tool availability;
- Longitudinal studies of pedagogical adaptation and teacher learning;
- Frameworks for developing critical AI literacy across disciplines;
- Assessment strategies in AI-rich environments;
- Collaborative learning and peer assessment when AI tools are present;
- AI-integrated curriculum innovation;
- Professional development models for AI pedagogical competency;
- Equity implications of AI access and literacy development;
- Transfer of AI literacies across academic and professional contexts;
- Teacher beliefs, knowledge, and practice transformation;
- Ethical dimensions of AI use in classroom learning.
Dr. Erin R. Pletcher
Dr. Travis R. Pollen
Guest Editors
Manuscript Submission Information
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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-anonymized 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 2000 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 (GenAI)
- pedagogical transformation
- AI-assisted learning
- AI literacy
- AI assessment tools
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