Cheng-Yueh Jao
Papers
2
Total Citations
14
H-Index
2
About
Cheng-Yueh Jao is an emerging scholar at the intersection of educational technology, language learning, and human-robot interaction. His research centers on how social robots and multimodal composition can transform English writing instruction, with a particular focus on developing students’ audience awareness—a critical yet often overlooked skill in second language acquisition. Jao’s most cited work (2024, 12 citations) investigates the mechanisms through which robot-assisted multimodal composition enhances learners’ ability to consider their readers’ perspectives, moving beyond simple outcome measures to explore the underlying pedagogical processes. His subsequent study (2025, 2 citations) examines students’ perceived benefits of integrating social robots into language learning, highlighting the motivational and cognitive affordances of such technology. Though early in his career, Jao’s work is notable for bridging robotics and composition studies, offering practical insights for educators seeking innovative, learner-centered approaches. His research contributes to a growing body of evidence that social robots can serve as engaging, non-judgmental partners in the writing classroom, fostering deeper reflection and creativity. As the field of AI-assisted education expands, Jao’s findings provide a foundation for future studies on human-robot collaboration in language pedagogy.
Research Focus
Key Achievements
Top Papers
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- 2