Examining the Trend of Taiwan Primary and High School Scientific Exhibition by Using Text Mining Technique. - Shao-Yu Wang; Owen H. T. Lu; Wen-Long Lee; Tosti Hsu-Cheng Chiang; Wan-Sheng Su; Ming-Chao Lin; Stephen J. H. Yang (IIAI-AAI, 2017)

Applying learning analytics for improving students engagement and learning outcomes in an MOOCs enabled collaborative programming course. - Owen H. T. Lu; Jeff C. H. Huang; Anna Y. Q. Huang; Stephen J. H. Yang (Interact. Learn. Environ., 2017)

Prediction of Students' Academic Performance based on Tracking logs. - Anna Y. Q. Hung; Jian-Xuan Weng; Jeff C. H. Huang; Owen H. T. Lu; Bin Shyan Jong; Stephen J. H. Yang (ICCE, 2018)

Benchmarking and Tuning Regression Algorithms on Predicting Students' Academic Performance. - Owen H. T. Lu; Anna Y. Q. Hung; Stephen J. H. Yang (ICCE, 2018)

Applying Learning Analytics for the Early Prediction of Students' Academic Performance in Blended Learning. - Owen H. T. Lu; Anna Y. Q. Huang; Jeff C. H. Huang; Albert J. Q. Lin; Hiroaki Ogata; Stephen J. H. Yang (J. Educ. Technol. Soc., 2018)

Predicting Students' Academic Performance Using Multiple Linear Regression and Principal Component Analysis. - Stephen J. H. Yang; Owen H. T. Lu; Anna Y. Q. Huang; Jeff C. H. Huang; Hiroaki Ogata; Albert J. Q. Lin (J. Inf. Process., 2018)

Exploring the effects of online learning behaviors on short-term and long-term learning outcomes in flipped classrooms. - Chia-Chang Hsiao; Jeff C. H. Huang; Anna Y. Q. Huang; Owen H. T. Lu; Chengjiu Yin; Stephen J. H. Yang (Interact. Learn. Environ., 2019)

Using Sequence Clustering to Unveil Students' Learning Strategies and Explore the Relationship with Cognitive Load. - Ching-Hsiang Kang; Anna Y. Q. Huang; Owen H. T. Lu; Bin Shyan Jong; Irene Y. L. Chen; Stephen J. H. Yang (ICCE, 2020)

Sequence Pattern Mining for the Identification of Reading Behavior based on SQ3R Reading Strategy. - Owen H. T. Lu; Anna Y. Q. Huang; Che-Yu Kuo; Irene Y. L. Chen; Stephen J. H. Yang (ICCE, 2020)

The Implementation of Precision Education for Learning Analytics. - Jian-Xuan Weng; Anna Y. Q. Huang; Owen H. T. Lu; Irene Y. L. Chen; Stephen J. H. Yang (TALE, 2020)

Predicting students' academic performance by using educational big data and learning analytics: evaluation of classification methods and learning logs. - Anna Y. Q. Huang; Owen H. T. Lu; Jeff C. H. Huang; Chengjiu Yin; Stephen J. H. Yang (Interact. Learn. Environ., 2020)

Considering Temporal Features in Early Prediction of at-risk students. - Zoe Y. R. Chen; Anna Y. Q. Huang; Owen H. T. Lu; Stephen J. H. Yang (ICALT, 2021)

Exploring Learning Strategies by Sequence Clustering and Analysing their Correlation with Student's Engagement and Learning Outcome. - Jim B. J. Huang; Anna Y. Q. Huang; Owen H. T. Lu; Stephen J. H. Yang (ICALT, 2021)

Automatic Question Generation for Repeated Testing to Improve Student Learning Outcome. - Danny C. L. Tsai; Anna Y. Q. Huang; Owen H. T. Lu; Stephen J. H. Yang (ICALT, 2021)

Impact of teachers' grading policy on the identification of at-risk students in learning analytics. - Owen H. T. Lu; Anna Y. Q. Huang; Stephen J. H. Yang (Comput. Educ., 2021)

A Quality Data Set for Data Challenge: Featuring 160 Students' Learning Behaviors and Learning Strategies in a Programming Course. - Owen H. T. Lu; Anna Y. Q. Huang; Brendan Flanagan; Hiroaki Ogata; Stephen J. H. Yang (ICCE, 2022)

Effects of artificial Intelligence-Enabled personalized recommendations on learners' learning engagement, motivation, and outcomes in a flipped classroom. - Anna Y. Q. Huang; Owen H. T. Lu; Stephen J. H. Yang (Comput. Educ., 2023)

Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review. - Chien-Chang Lin; Anna Y. Q. Huang; Owen H. T. Lu (Smart Learn. Environ., 2023)

Methods of Balancing Model Explainability and Performance in Identifying At-Risk Students. - Tiffany T. Y. Hsu; Brendan Flanagan; Owen H. T. Lu (ICCE, 2024)

A Case Study for Educators with ChatGPT and Plato's Allegory of the Cave. - Anna Y. Q. Huang; Jain-Wei Tzeng; Chi-Sheng Huang; Zhi-Qi Liu; Bryan Carl Tanujaya; Owen H. T. Lu (ICCE, 2024)

Explore the Explanation and Consistency of Explainable AI in the LBLS Data Set. - Tiffany T. Y. Hsu; Owen H. T. Lu (LAK Workshops, 2024)

The Feasibility of Utilizing ChatGPT in Learning Analytics for the Identification of At-Risk Students. - Zhi-Qi Liu; Owen H. T. Lu; Hsiao-Ting Tseng (LAK Workshops, 2024)

A Seq2Seq transformation strategy for generalizing a pre-trained model in anomaly detection of rolling element bearings. - Owen H. T. Lu (Expert Syst. Appl., 2024)