Using Molecular Dynamics Simulation and Parallel Computing Technique of the Deposition of Diamond-Like Carbon Thin Films. - Jiun-Yu Wu; Hui-Ching Wang; Jung-Sheng Chen; Kuen-Tsan Chen; Kuen Ting (MTPP, 2010)

The indirect effects of online social entertainment and information seeking activities on reading literacy. - Yuan-Hsuan Lee 001; Jiun-Yu Wu (Comput. Educ., 2013)

Revisit the Effect of Teaching and Learning with Technology. - Yuan-Hsuan Lee 001; Hersh Waxman; Jiun-Yu Wu; Georgette Michko; Grace Lin (J. Educ. Technol. Soc., 2013)

Eye movements predict students' computer-based assessment performance of physics concepts in different presentation modalities. - Sheng-Chang Chen; Hsiao-Ching She; Ming-Hua Chuang; Jiun-Yu Wu; Jie-Li Tsai; Tzyy-Ping Jung (Comput. Educ., 2014)

Gender differences in online reading engagement, metacognitive strategies, navigation skills and reading literacy. - Jiun-Yu Wu (J. Comput. Assist. Learn., 2014)

University students' Motivated Attention and use of regulation strategies on social media. - Jiun-Yu Wu (Comput. Educ., 2015)

The indirect relationship of media multitasking self-efficacy on learning performance within the personal learning environment: Implications from the mechanism of perceived attention problems and self-regulation strategies. - Jiun-Yu Wu (Comput. Educ., 2017)

The modality effect on reading literacy: perspectives from students' online reading habits, cognitive and metacognitive strategies, and web navigation skills across regions. - Jiun-Yu Wu; Ya-Chun Peng (Interact. Learn. Environ., 2017)

Using time pressure and note-taking to prevent digital distraction behavior and enhance online search performance: Perspectives from the load theory of attention and cognitive control. - Jiun-Yu Wu; Chen Xie (Comput. Hum. Behav., 2018)

Influence of Financial Course on Eighth Grade Students' Financial Concepts, Math Motivation, Math Anxiety in Taiwan. - Yu-Ching Hsu; Mei-Wen Nian; Chang-Hsuan Yang; Yuan-Hsuan Lee 002; Jiun-Yu Wu (ICCE, 2019)

Who is better adapted in learning online within the personal learning environment? Relating gender differences in cognitive attention networks to digital distraction. - Jiun-Yu Wu; Tzuying Cheng (Comput. Educ., 2019)

Using supervised machine learning on large-scale online forums to classify course-related Facebook messages in predicting learning achievement within the personal learning environment. - Jiun-Yu Wu; Yi-Cheng Hsiao; Mei-Wen Nian (Interact. Learn. Environ., 2020)

The predictive validities of individual working-memory capacity profiles and note-taking strategies on online search performance. - Jiun-Yu Wu (J. Comput. Assist. Learn., 2020)

Comparing the performance of machine learning and deep learning algorithms classifying messages in Facebook learning group. - Cheng-Yo Huang-Fu; Chen-Hsuan Liao; Jiun-Yu Wu (ICALT, 2021)

Learning analytics on structured and unstructured heterogeneous data sources: Perspectives from procrastination, help-seeking, and machine-learning defined cognitive engagement. - Jiun-Yu Wu (Comput. Educ., 2021)

The dynamics of an online learning community in a hybrid statistics classroom over time: Implications for the question-oriented problem-solving course design with the social network analysis approach. - Jiun-Yu Wu; Mei-Wen Nian (Comput. Educ., 2021)

Using Unsupervised Machine Learning to Model Taiwanese High-School Students' Digital Distraction Profiles Concerning Internet Gaming Disorder. - Yu-Lin Ho; Chien Chou; Chen-Hsuan Liao; Jiun-Yu Wu (ICCE, 2022)

Deploying multimodal learning analytics models to explore the impact of digital distraction and peer learning on student performance. - Chen-Hsuan Liao; Jiun-Yu Wu (Comput. Educ., 2022)

Peer Feedback in Online Learning Communities: Its Effectiveness on Internal Motivation from the Perspective of Self-Determination Theory. - Chen-Hsuan Liao; Hsin-Jung Chung; Jiun-Yu Wu (ICALT, 2023)

Learning analytics on video-viewing engagement in a flipped statistics course: Relating external video-viewing patterns to internal motivational dynamics and performance. - Chen-Hsuan Liao; Jiun-Yu Wu (Comput. Educ., 2023)

A review of using multilevel modeling in e-learning research. - Hung-Ming Lin; Jiun-Yu Wu; Jyh-Chong Liang; Yuan-Hsuan Lee 001; Pinchi Huang; Oi-Man Kwok; Chin-Chung Tsai (Comput. Educ., 2023)

Galvanic Skin Responses and Flow: Insights from Multimodal Learning Analytics in Personal Learning Environment. - Yu-Lin Ho; Yuan-Hsuan Lee 002; Jiun-Yu Wu (ICCE, 2024)

Using learning analytics with temporal modeling to uncover the interplay of before-class video viewing engagement, motivation, and performance in an active learning context. - Jiun-Yu Wu; Chen-Hsuan Liao; Chin-Chung Tsai; Oi-Man Kwok (Comput. Educ., 2024)

Learning analytics dashboard-based self-regulated learning approach for enhancing students' e-book-based blended learning. - Christopher C. Y. Yang; Jiun-Yu Wu; Hiroaki Ogata (Educ. Inf. Technol., 2025)