The conference has a broad and interdisciplinary scope, with a special focus on AI and NEP-2020. It aims to promote original, evidence-based, and practice-oriented research aligned with NEP-2020, rapid AI-driven transformations, and evolving global educational practices. Scholars, educators, researchers, and practitioners are invited to submit papers under the following thematic tracks.
Track 1: AI in Teaching, Learning, and Assessment
AI applications in teaching–learning processes
AI-based assessment and feedback systems
Ethical and policy dimensions of AI in education
Track 2: Pedagogical Transformation under NEP-2020
Pedagogy, andragogy, and heutagogy practices
Experiential and inclusive learning approaches
Track 3: Inculcating 21st Century Skills
Critical thinking, creativity, and collaboration
Coding, Python, and digital skills for teachers
Teacher professional development and leadership
Track 4: Educational Reforms in the AI and NEP Era
NEP-2020 strategies and best practices
Governance and quality assurance
Post-NEP challenges and future reforms
Track 5: Emerging and Interdisciplinary Perspectives
Educational technology and blended learning
Inclusive and sustainable education
Interdisciplinary and practice-oriented research
These thematic areas are broad, though not limited to the above, and aim to foster critical inquiry, interdisciplinary dialogue, and actionable insights that contribute to policy development, institutional practices, and sustainable innovations in school and teacher education.