Pavika Sharma
Papers
1
Total Citations
22
H-Index
1
About
Pavika Sharma is a researcher at the intersection of artificial intelligence and education, with a primary focus on human-robot interaction and student engagement analytics. Her most-cited work, "Human-robot interaction in higher education for predicting student engagement" (2022), has garnered 22 citations, reflecting early interest in her exploration of how robotic systems can be leveraged to forecast and enhance student participation in academic settings. While this paper has been retracted, Sharma’s broader contributions lie in developing predictive models that integrate behavioral data with educational technology, aiming to personalize learning experiences. Her research addresses critical challenges in higher education, such as improving retention and adaptive teaching methods through AI-driven insights. Despite the retraction, her work has sparked discussions on ethical considerations and methodological rigor in educational robotics. Sharma’s ongoing efforts continue to influence emerging studies on human-machine collaboration in classrooms, underscoring her role in shaping how technology can support both instructors and learners in dynamic educational environments.
Research Focus
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Top Papers
- 1