Longkai Wu
Papers
1
Total Citations
20
H-Index
1
About
Longkai Wu is a leading researcher in educational technology, with a focus on integrating computational thinking (CT) with interdisciplinary learning. His most-cited work, a 2022 study on pair programming with educational robots, demonstrates how robotics can bridge STEM and foreign-language acquisition, advancing cross-context target-language learning. This paper, with 20 citations, highlights his innovative approach to blending CT with language education, addressing the challenge of designing effective, cross-disciplinary curricula. Wu’s contributions are pivotal in showing how educational robots can foster both technical and linguistic skills, offering practical frameworks for educators. His research underscores the potential of technology to transform traditional learning boundaries, making him a key figure in the field of computational thinking and educational robotics.
Research Focus
Key Achievements
Top Papers
- 1