About

Aditi Kothiyal is a leading researcher at the intersection of learning sciences, human-computer interaction, and educational robotics. Her work focuses on understanding and supporting collaborative learning in technology-rich environments, particularly how students engage with constructivist activities and how teachers can effectively orchestrate robotic classrooms. Kothiyal’s most cited paper, “Many are the ways to learn identifying multi-modal behavioral profiles of collaborative learning in constructivist activities” (43 citations), introduces a novel framework for assessing learner engagement through multi-modal behavioral data, revealing distinct profiles that predict learning outcomes. She has also made significant contributions to teacher support, with her work on orchestration tools (11 citations) demonstrating how real-time awareness indicators can enhance teachers’ self-efficacy in managing robotic classrooms. Kothiyal explores innovative learning modalities, including haptic collaboration in “AlloHaptic” (7 citations) and the impact of social robot vocalization on children’s learning (8 citations). Her research bridges the gap between autonomous robot capabilities and practical classroom needs, offering actionable insights for designing effective, scalable educational technologies.

Research Focus

Key Achievements

5
H-Index
5
Papers
74
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Many are the ways to learn identifying multi-modal behavioral profiles of collaborative learning in constructivist activities
43 citations · 2021
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Human Computer Interaction (Switzerland), Indian Institute of Technology Gandhinagar, École Polytechnique Fédérale de Lausanne

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago