Arkas Viddy
Papers
1
Total Citations
3
H-Index
1
About
Arkas Viddy is an emerging researcher at the intersection of educational technology and human-robot interaction, with a growing focus on the transformative potential of federated learning in academic settings. Their most-cited work, "Enabling Federated Learning in the Classroom" (2024, 3 citations), addresses the pressing challenges universities face in integrating advanced digital tools while navigating evolving student perceptions and learning behaviors. Viddy’s research explores how decentralized machine learning can preserve data privacy while enhancing collaborative, adaptive learning environments—a critical contribution as institutions grapple with the ethical and practical implications of AI in education. By bridging technical innovation with pedagogical shifts, Viddy offers a framework for rethinking classroom dynamics, where robots and digital devices serve not as replacements but as partners in a more responsive, student-centered experience. Though early in their career, Viddy’s work signals a commitment to shaping the future of learning, where technology and human interaction coexist seamlessly. Their insights are particularly valuable for researchers and educators seeking to harness AI’s power without compromising trust or equity.
Research Focus
Key Achievements
Top Papers
- 1Enabling Federated Learning in the Classroom3 citations · 2024