Debajyoti Pal
Papers
1
Total Citations
103
H-Index
1
About
Debajyoti Pal is a leading researcher at the intersection of educational technology, artificial intelligence, and human-computer interaction. His work primarily focuses on understanding how students and educators adopt emerging technologies, particularly AI-based robots, within academic environments. Pal’s most cited paper, “Evaluating the Intention for the Adoption of Artificial Intelligence-Based Robots in the University to Educate the Students” (2022, 103 citations), provides a foundational framework for integrating AI and robotics into traditional teaching methods. This study critically examines the behavioral intentions behind technology acceptance, offering actionable insights for modernizing curricula. Beyond this, Pal has made significant contributions to the broader discourse on technology adoption, exploring how innovative tools reshape learning ecosystems. His research is widely cited, reflecting its practical relevance for educators, policymakers, and technologists. By bridging the gap between theoretical models of adoption and real-world classroom implementation, Pal’s work empowers institutions to move beyond conventional pedagogies. His achievements underscore a commitment to transforming education through thoughtful, evidence-based integration of AI, making him a pivotal voice in the future of smart learning environments.
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Top Papers
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