AI Based Adaptive Assessment supporting NEP 2020 Learning Reforms

Abstract

The National Education Policy (NEP) 2020 emphasizes learner-centric pedagogy, competency-based education, and continuous formative assessment. Traditional assessment systems in India often fail to address learner diversity and inclusivity. Artificial Intelligence (AI)-based adaptive assessment systems offer a promising solution by enabling personalized, continuous, and data-driven evaluation. This study examines the role of AIbased adaptive assessment in supporting NEP 2020 learning reforms. Using a descriptive and analytical research methodology, the paper analyzes existing literature, policy documents, and secondary data to understand the effectiveness of AI-driven adaptive assessment. The findings indicate that AI-based assessment enhances personalized learning, reduces examination stress, supports inclusive education, and aligns closely with NEP 2020 goals. However, challenges related to digital access, ethical concerns, and teacher readiness remain significant. The study concludes that AI-based adaptive assessment can significantly transform educational evaluation when implemented responsibly and equitably.