Deepak Kumar Pradhan

National Council Of Educational Research And Training

Papers

Total Citations

H-Index

About

Deepak Kumar Pradhan is a rising voice in the intersection of artificial intelligence and mathematics education, with a focused interest in how emerging technologies are reshaping pedagogical practices. His most cited work, a systematic review of global trends in AI-driven mathematics education, synthesizes over 200 peer-reviewed studies published between 2020 and 2024. This PRISMA-guided analysis identifies key thematic clusters—including adaptive learning systems, intelligent tutoring, and AI-assisted assessment—while highlighting persistent gaps in methodological rigor and conceptual coherence. By mapping the fragmented landscape of AI integration in math classrooms, Pradhan provides a critical roadmap for future research and curriculum design. Though early in his career, his work has already garnered attention for its comprehensive scope and timely relevance, offering educators and technologists a clear-eyed view of both the promise and the pitfalls of AI in mathematics learning. His contributions are particularly valuable for researchers seeking to bridge the gap between technical innovation and classroom practice, positioning him as a thoughtful analyst of the field’s emerging trends and challenges.