Yung-Han Ku
Papers
2
Total Citations
6
H-Index
2
About
Yung-Han Ku explores the transformative intersection of robotics, self-dialogue, and learning performance. Her research centers on how robots can facilitate metacognitive processes—specifically self-talk—to enhance ownership, self-efficacy, and educational outcomes. In her 2025 work, she demonstrates that robots acting as conversational partners significantly boost learners’ sense of agency and academic achievement. Her 2022 study introduces a novel concept: the robot as a ventriloquist doll within virtual situational learning environments. This approach helps learners externalize internal dialogue, enabling them to ask themselves guiding questions and evaluate their own reasoning from alternative perspectives. By addressing the common difficulty learners face in imagining scenarios and engaging in productive self-dialogue, Ku’s work bridges human cognition and robotic interaction. Though her citation counts are currently modest, her pioneering integration of robotics with self-directed learning strategies marks a promising frontier in educational technology. Her contributions offer practical frameworks for designing interactive learning tools that foster deeper reflection and autonomy.
Research Focus
Key Achievements
Top Papers
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