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Chun-Chiang Huang

Biographic Data

ID9662178
NAMEChun-Chiang Huang
GIVEN NAMESChun-Chiang
FAMILY NAMEHuang
SIGNATUREHUANG C
AFFILIATIONSNational Center for Instrumentation Research
ORCID0009-0009-3774-2167
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • From awareness to transformation

    Guangyun Zhang, Yungwei Hao et al.•ARTICLE•Interactive Learning Environments•2026

    The rapid expansion of generative AI in education has shifted attention from tool adoption to teachers’ learning interactions, reflection, and professional growth. This study examines teachers’ development in an AI-supported interactive learning context, focusing on how awareness, integration, and instructional transformation relate to reflective and collaborative learning. A three-module professional learning program engaged teachers across thre…

  • Synergistic effects of AR and reflective pedagogy

    Min Jou, Yu-Chun Chiang et al.•ARTICLE•Interactive Learning Environments•2026

    With the advancement of AI and unmanned factories, technical education must cultivate not only students’ technical abilities but also their critical thinking and problem-solving skills. This study investigates the integration of augmented reality (AR) with reflective pedagogy to enhance practical learning among students with varying academic achievement levels. A mixed-methods design was employed to examine how AR-supported reflection impacts sel…

  • The impact of question guidance and cues on learners’ online multimedia learning outcomes

    Lei Han, Qing Lv et al.•ARTICLE•Interactive Learning Environments•2025

    Online multimedia learning is a popular teaching approach. Based on the cognitive load theory and the learning process model, question guidance reduces cognitive load by reducing attention to unnecessary material and improving learning effectiveness. Moreover, according to the attention guidance hypothesis, cues can help learners allocate attentional resources better. This study created a mediated moderation model to explain how question guidance…

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  • The impact of question guidance and cues on learners’ online multimedia learning outcomes

    Lei Han, Qing Lv et al.•ARTICLE•Interactive Learning Environments•2025

    Online multimedia learning is a popular teaching approach. Based on the cognitive load theory and the learning process model, question guidance reduces cognitive load by reducing attention to unnecessary material and improving learning effectiveness. Moreover, according to the attention guidance hypothesis, cues can help learners allocate attentional resources better. This study created a mediated moderation model to explain how question guidance…

  • From awareness to transformation

    Guangyun Zhang, Yungwei Hao et al.•ARTICLE•Interactive Learning Environments•2026

    The rapid expansion of generative AI in education has shifted attention from tool adoption to teachers’ learning interactions, reflection, and professional growth. This study examines teachers’ development in an AI-supported interactive learning context, focusing on how awareness, integration, and instructional transformation relate to reflective and collaborative learning. A three-module professional learning program engaged teachers across thre…

  • Synergistic effects of AR and reflective pedagogy

    Min Jou, Yu-Chun Chiang et al.•ARTICLE•Interactive Learning Environments•2026

    With the advancement of AI and unmanned factories, technical education must cultivate not only students’ technical abilities but also their critical thinking and problem-solving skills. This study investigates the integration of augmented reality (AR) with reflective pedagogy to enhance practical learning among students with varying academic achievement levels. A mixed-methods design was employed to examine how AR-supported reflection impacts sel…

Educational technology (3 works) · Computer Science (2 works) · Mathematics education (2 works) · Psychology (2 works) · Academic achievement (1 work) · Augmented Reality Applications (1 work) · Cognition (1 work) · Cognitive Load (1 work) · Cognitive psychology (1 work) · Innovative Teaching and Learning Methods (1 work)

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