Generative AI: Transforming Teaching and Learning in STEM Disciplines
A special issue of Education Sciences (ISSN 2227-7102). This special issue belongs to the section "STEM Education".
Deadline for manuscript submissions: 15 December 2026 | Viewed by 326
Editor
2. Institute for Educational Innovation & Technology (IEIT), Jersey City, NJ 07302, USA
Interests: AI in education; project management education; educational technology; STEM education; gamification
Special Issue Information
Dear Colleagues,
The rapid emergence of Generative AI (GenAI) is fundamentally reshaping the landscape of STEM education. Tools like large language models (LLMs) are becoming ubiquitous in professional environments, making them essential components of the modern workforce. Simultaneously, these technologies offer transformative potential for academic instruction. This Special Issue examines GenAI through dual lenses: (1) as a critical skill for student career readiness, and (2) as a powerful pedagogical instrument to enhance conceptual understanding, personalize instruction, and support curriculum development.
This Special Issue aims to present and disseminate the most recent advances related to integrating GenAI into STEM classrooms. We specifically seek contributions that bridge the gap between theoretical AI potential and practical classroom applications. We consider contributions addressing the development of AI-driven teaching workflows, strategies for equipping students with AI literacy, the evolving role of educators in an AI-centric environment, and frameworks for maintaining academic integrity.
Topics of interest for publication include, but are not limited to, the following:
- AI-driven approaches to foster essential technical and professional skills across STEM disciplines.
- AI literacy and prompt engineering as a core competency for STEM students.
- Enhancing student engagement through active learning and personalized tutoring
- Ethics, bias, and academic integrity in the era of GenAI.
- GenAI for course design, content generation and assessment.
Dr. Sakhi Aggrawal
Guest Editor
Manuscript Submission Information
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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
- AI in education
- generative AI
- higher education
- large language models (LLMs)
- educational technology
- personalized learning
- AI tutoring
- educational policy
- STEM education
- workforce development
- gamification
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