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Chen-Hsuan Liao

Biographic Data

ID9611440
NAMEChen-Hsuan Liao
GIVEN NAMESChen-Hsuan
FAMILY NAMELiao
SIGNATURELIAO C
AFFILIATIONSNational Yang Ming Chiao Tung University
ORCID0000-0002-7330-2486
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Compulsory military service and opinions toward cross-strait relations

    Open Access•Chen‐Hsuan Liao, Chen-Hsuan Liao•ARTICLE•Public Choice•2026•References: 56

  • Using learning analytics with temporal modeling to uncover the interplay of before-class video viewing engagement, motivation, and performance in an active learning context

    Open Access•Jiun-Yu Wu, Chen-Hsuan Liao et al.•ARTICLE•Computers & Education•2024

    Video learning is a crucial component in flipped learning related to learners' readiness to attend more complex face-to-face activities. However, instructors may not know students' preparedness and motivation for each class. This study intended to examine the underlying mechanism between students' before-class video-viewing engagement and performance. We investigated learners' motivation (i.e., autonomous and controlled motivation) based on self-…

  • Learning analytics on video-viewing engagement in a flipped statistics course

    Open Access•Chen-Hsuan Liao, Jiun-Yu Wu•ARTICLE•Computers & Education•2023

    This study attempts to advance the comprehension of clickstream data in video-based learning environments and interpret learning motivation from these large-volume and unstructured data. Three hundred and fifty video-learning records from 47,044 video viewing operations were obtained from 47 graduate students. Four learning improvement profiles were derived from a statistics course's pre-and post-test scores: the Advanced, the Diligent, the Indif…

  • What is the best model of grit among junior high students

    Open Access•Min‐Chieh Weng, Chen‐Hsuan Liao et al.•ARTICLE•Social Development•2023•References: 3

    Grit is a non‐cognitive construct based on personality theory that fosters individuals to perform better and achieve their goals. Previous researchers validated the psychometric properties of grit for adults and older adolescents but ignored that for early adolescents. An inappropriate measurement model may mislead researchers and teachers to misapprehend grit measures. This study aimed to identify the most appropriate grit model for early adoles…

  • Deploying multimodal learning analytics models to explore the impact of digital distraction and peer learning on student performance

    Open Access•Chen-Hsuan Liao, Jiun-Yu Wu•ARTICLE•Computers & Education•2022

    Social media have been extensively incorporated in higher education as an indispensable tool for learning. Nevertheless, research has conflicting findings about its effectiveness due to the highly reported digital distraction and poor peer learning engagement on social media. This study employed an innovative problem-based learning (PBL) pedagogy incorporating Learning Analytics to identify digital distraction, quantify the quality of peer learni…

No prominent works on this page.

  • Deploying multimodal learning analytics models to explore the impact of digital distraction and peer learning on student performance

    Open Access•Chen-Hsuan Liao, Jiun-Yu Wu•ARTICLE•Computers & Education•2022

    Social media have been extensively incorporated in higher education as an indispensable tool for learning. Nevertheless, research has conflicting findings about its effectiveness due to the highly reported digital distraction and poor peer learning engagement on social media. This study employed an innovative problem-based learning (PBL) pedagogy incorporating Learning Analytics to identify digital distraction, quantify the quality of peer learni…

  • Learning analytics on video-viewing engagement in a flipped statistics course

    Open Access•Chen-Hsuan Liao, Jiun-Yu Wu•ARTICLE•Computers & Education•2023

    This study attempts to advance the comprehension of clickstream data in video-based learning environments and interpret learning motivation from these large-volume and unstructured data. Three hundred and fifty video-learning records from 47,044 video viewing operations were obtained from 47 graduate students. Four learning improvement profiles were derived from a statistics course's pre-and post-test scores: the Advanced, the Diligent, the Indif…

  • What is the best model of grit among junior high students

    Open Access•Min‐Chieh Weng, Chen‐Hsuan Liao et al.•ARTICLE•Social Development•2023•References: 3

    Grit is a non‐cognitive construct based on personality theory that fosters individuals to perform better and achieve their goals. Previous researchers validated the psychometric properties of grit for adults and older adolescents but ignored that for early adolescents. An inappropriate measurement model may mislead researchers and teachers to misapprehend grit measures. This study aimed to identify the most appropriate grit model for early adoles…

  • Using learning analytics with temporal modeling to uncover the interplay of before-class video viewing engagement, motivation, and performance in an active learning context

    Open Access•Jiun-Yu Wu, Chen-Hsuan Liao et al.•ARTICLE•Computers & Education•2024

    Video learning is a crucial component in flipped learning related to learners' readiness to attend more complex face-to-face activities. However, instructors may not know students' preparedness and motivation for each class. This study intended to examine the underlying mechanism between students' before-class video-viewing engagement and performance. We investigated learners' motivation (i.e., autonomous and controlled motivation) based on self-…

  • Compulsory military service and opinions toward cross-strait relations

    Open Access•Chen‐Hsuan Liao, Chen-Hsuan Liao•ARTICLE•Public Choice•2026•References: 56

Computer Science (4 works) · Data science (3 works) · Learning analytics (3 works) · Online Learning and Analytics (3 works) · Psychology (3 works) · Analytics (2 works) · Artificial Intelligence (2 works) · Educational Games and Gamification (2 works) · Multimedia (2 works) · Online and Blended Learning (2 works)

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