Transformative Pedagogies: AI-Based Approaches to Personalized and Adaptive Learning

Journal: Journal of Corrosion and Materials

Special Issue: Transformative Pedagogies: AI-Based Approaches to Personalized and Adaptive Learning

Guest Editor: Prof. Dr. Naveed Ahmad
Email: naahvmeaedd@gmail.com

The journal Corrosion and Materials invites submissions for a Special Issue on Transformative Pedagogies: AI-Based Approaches to Personalized and Adaptive Learning. This Special Issue aims to present high-quality scholarly work examining how artificial intelligence is reshaping educational theory and practice through personalized instruction, adaptive learning pathways, and data-informed pedagogical decision-making. We welcome original research articles, review papers, and well-documented case studies that provide rigorous evidence, sound methodology, and clear implications for teaching, learning, and educational policy.

Topics of interest include, but are not limited to: AI-driven personalization in education, adaptive learning technologies, intelligent tutoring systems, learning analytics and data-driven decision-making, evaluation of AI-supported learning effectiveness, ethical, legal, and equity considerations in AI-enhanced education, and case studies of successful AI implementation in educational settings.

Submission Guidelines: Manuscripts should be submitted as a single PDF file via email to Prof. Dr. Naveed Ahmad at naahvmeaedd@gmail.com. Submissions may alternatively be sent to editor@corromat.com. Authors should prepare manuscripts in accordance with the journal’s author guidelines available on the journal website.

Important Dates:

  • Submission Deadline: 30 December 2026

  • Review Timeline: Approximately 90 days (subject to reviewer availability and revision requirements)

Publication Fee: No publication fee is charged. Journal of Corrosion and Materials is a diamond open access journal, and accepted articles in this Special Issue will be published free of charge for both authors and readers.

We believe this Special Issue will provide a valuable scholarly forum for advancing evidence-based understanding of AI’s role in contemporary pedagogy, while encouraging responsible and effective deployment of AI technologies in diverse educational contexts. We look forward to receiving your contributions.