Vando Gusti Al Hakim
Papers
7
Total Citations
112
H-Index
3
About
Vando Gusti Al Hakim is a pioneering researcher at the intersection of educational robotics, human-robot interaction, and technology-enhanced learning. His work centers on designing intelligent robotic systems that serve as active learning companions—not mere tools—to foster deeper student engagement, self-regulation, and long-term motivation. His most cited paper (81 citations) demonstrates how robots with immediate feedback mechanisms in situated learning classrooms significantly improve student performance. Al Hakim has also introduced innovative concepts such as using robots as classroom learning hosts in digital theater environments and as ventriloquist dolls to facilitate self-dialogue, helping learners externalize their thinking. A major contribution is his pet-like robot model grounded in interdependence theory, which aims to sustain long-term human-robot relationships beyond the classroom. His recent work explores digital twins of pet robots to prolong these interdependent bonds and examines how robots can facilitate self-talk to enhance ownership and self-efficacy. Beyond education, Al Hakim has applied robotics to disaster response, developing an IoT-based robot for victim identification in building collapses. With a growing body of work spanning 2020–2025, his research is shaping the future of socially assistive and educational robotics.
Research Focus
Key Achievements
Top Papers
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