Integrating Artificial Intelligence with NHEQF Descriptors for Pedagogical Excellence

Abstract

This research investigates the critical need to integrate affective and psychomotor domains alongside cognitive development in educational systems to achieve the comprehensive ‘Exit Outcomes’ of Outcome-Based Education (OBE) and align with the National Higher Education Qualification Framework (NHEQF) descriptors. Traditional educational approaches are inadequate for these goals, prompting the introduction of the AI-Charya framework—a novel, artificial intelligence (AI)-driven pedagogical model. Utilizing a qualitative approach, this study explores the limitations of existing models and the transformative potential of generative AI. The AI-Charya framework provides adaptive, multimodal educational strategies that personalize learning and significantly enhance critical and creative thinking skills. Findings indicate that students engaged with AI-Charya show marked improvements in these areas, positioning them for success in an increasingly automated global workforce. However, the study’s generalizability is limited by its specific educational contexts, and further research is needed to assess long-term outcomes. Despite these limitations, the AI-Charya framework offers a pioneering blueprint for aligning educational practices with OBE and NHEQF standards, equipping students with the holistic competencies required for dynamic, future-oriented careers. This research has significant implications for policymakers, educators and curriculum developers aiming to enhance educational excellence through innovative methodologies.