Ching Chang
Papers
3
Total Citations
46
H-Index
3
About
Ching Chang is an innovative education researcher whose work sits at the intersection of computational thinking, language learning, and technology-enhanced pedagogy. With a focus on interdisciplinary learning approaches, Chang has made significant contributions to understanding how emerging educational technologies — particularly educational robots and game-based learning platforms — can simultaneously develop students' computational thinking skills and foreign language acquisition, most notably in English as a Foreign Language (EFL) contexts. Chang's most influential work demonstrates that integrating computational thinking beyond traditional STEM boundaries into language learning environments yields meaningful academic gains. Their 2022 study on pair programming with educational robots (20 citations) challenged conventional disciplinary silos, while subsequent research employing sequential behavior analysis illuminated how game-based learning approaches shape interdisciplinary competencies. Notably, Chang has also foregrounded questions of equity in technology education, examining how gender dynamics influence computational thinking development and advocating for pedagogical designs that genuinely empower girls rather than simply emphasizing problem-solving metrics. Collectively accumulating over 46 citations across recent publications, Chang's research offers both practitioners and scholars a nuanced framework for designing inclusive, cross-disciplinary digital learning experiences that prepare diverse learners for an increasingly technology-driven world.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Learning Performance of Different Genders’ Computational Thinking13 citations · 2022