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Owen H. T. Lu
Person information
- affiliation: National Chengchi University, International College of Innovation, Taiwan
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2020 – today
- 2024
- [j9]Owen H. T. Lu
:
A Seq2Seq transformation strategy for generalizing a pre-trained model in anomaly detection of rolling element bearings. Expert Syst. Appl. 254: 124297 (2024) - [c14]Tiffany T. Y. Hsu, Brendan Flanagan, Owen H. T. Lu:
Methods of Balancing Model Explainability and Performance in Identifying At-Risk Students. ICCE 2024 - [c13]Anna Y. Q. Huang, Jain-Wei Tzeng, Chi-Sheng Huang, Zhi-Qi Liu, Bryan Carl Tanujaya, Owen H. T. Lu:
A Case Study for Educators with ChatGPT and Plato's Allegory of the Cave. ICCE 2024 - [c12]Zhi-Qi Liu, Owen H. T. Lu, Hsiao-Ting Tseng:
The Feasibility of Utilizing ChatGPT in Learning Analytics for the Identification of At-Risk Students. LAK Workshops 2024: 56-63 - [c11]Tiffany T. Y. Hsu, Owen H. T. Lu:
Explore the Explanation and Consistency of Explainable AI in the LBLS Data Set. LAK Workshops 2024: 64-72 - [e1]Martin Hlosta, Ivan Moser, Brendan Flanagan, Gloria Milena Fernández Nieto, Lixiang Yan, Angela Stewart, Amir Winer, Nitza Geri, Umesh Ramnarain, Christo van der Westhuizen, Atsushi Shimada, Fumiya Okubo, Hsiao-Ting Tseng, Albert C. M. Yang, Owen H. T. Lu, Hiroaki Ogata, Vanessa Echeverría, Roberto Martínez Maldonado, Yi-Shan Tsai, LuEttaMae Lawrence, Shaveen Singh, Stanislav Pozdniakov, Lujie Karen Chen, Jiaqi Gong, Louise Yarnall, Andy Nguyen, Lele Sha, Jionghao Lin, Mutlu Cukurova, Kshitij Sharma, Linxuan Zhao, Yuheng Li, Yueqiao Jin, Dragan Gasevic, Caitlin Mills, Stephen Hutt:
Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), Kyoto, Japan, March 18-22, 2024. CEUR Workshop Proceedings 3667, CEUR-WS.org 2024 [contents] - 2023
- [j8]Anna Y. Q. Huang, Owen H. T. Lu
Effects of artificial Intelligence-Enabled personalized recommendations on learners' learning engagement, motivation, and outcomes in a flipped classroom. Comput. Educ. 194: 104684 (2023) - [j7]Chien-Chang Lin
Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review. Smart Learn. Environ. 10(1): 41 (2023) - 2022
- [c10]Owen H. T. Lu, Anna Y. Q. Huang, Brendan Flanagan, Hiroaki Ogata, Stephen J. H. Yang:
A Quality Data Set for Data Challenge: Featuring 160 Students' Learning Behaviors and Learning Strategies in a Programming Course. ICCE 2022 - 2021
- [j6]Owen H. T. Lu
Impact of teachers' grading policy on the identification of at-risk students in learning analytics. Comput. Educ. 163: 104109 (2021) - [c9]Danny C. L. Tsai, Anna Y. Q. Huang, Owen H. T. Lu
Automatic Question Generation for Repeated Testing to Improve Student Learning Outcome. ICALT 2021: 339-341 - [c8]Zoe Y. R. Chen, Anna Y. Q. Huang, Owen H. T. Lu
Considering Temporal Features in Early Prediction of at-risk students. ICALT 2021: 350-351 - [c7]Jim B. J. Huang, Anna Y. Q. Huang, Owen H. T. Lu
Exploring Learning Strategies by Sequence Clustering and Analysing their Correlation with Student's Engagement and Learning Outcome. ICALT 2021: 360-362 - 2020
- [j5]Anna Y. Q. Huang
Predicting students' academic performance by using educational big data and learning analytics: evaluation of classification methods and learning logs. Interact. Learn. Environ. 28(2): 206-230 (2020) - [c6]Ching-Hsiang Kang, Anna Y. Q. Huang, Owen H. T. Lu, Bin Shyan Jong, Irene Y. L. Chen, Stephen J. H. Yang:
Using Sequence Clustering to Unveil Students' Learning Strategies and Explore the Relationship with Cognitive Load. ICCE 2020 - [c5]Owen H. T. Lu, Anna Y. Q. Huang, Che-Yu Kuo, Irene Y. L. Chen, Stephen J. H. Yang:
Sequence Pattern Mining for the Identification of Reading Behavior based on SQ3R Reading Strategy. ICCE 2020 - [c4]Jian-Xuan Weng, Anna Y. Q. Huang, Owen H. T. Lu
The Implementation of Precision Education for Learning Analytics. TALE 2020: 327-332
2010 – 2019
- 2019
- [j4]Chia-Chang Hsiao
Exploring the effects of online learning behaviors on short-term and long-term learning outcomes in flipped classrooms. Interact. Learn. Environ. 27(8): 1160-1177 (2019) - 2018
- [j3]Owen H. T. Lu, Anna Y. Q. Huang, Jeff C. H. Huang, Albert J. Q. Lin, Hiroaki Ogata, Stephen J. H. Yang:
Applying Learning Analytics for the Early Prediction of Students' Academic Performance in Blended Learning. J. Educ. Technol. Soc. 21(2): 220-232 (2018) - [j2]Stephen J. H. Yang
Predicting Students' Academic Performance Using Multiple Linear Regression and Principal Component Analysis. J. Inf. Process. 26: 170-176 (2018) - [c3]Anna Y. Q. Hung, Jian-Xuan Weng, Jeff C. H. Huang, Owen H. T. Lu, Bin Shyan Jong, Stephen J. H. Yang:
Prediction of Students' Academic Performance based on Tracking logs. ICCE 2018 - [c2]Owen H. T. Lu, Anna Y. Q. Hung, Stephen J. H. Yang:
Benchmarking and Tuning Regression Algorithms on Predicting Students' Academic Performance. ICCE 2018 - 2017
- [j1]Owen H. T. Lu
Applying learning analytics for improving students engagement and learning outcomes in an MOOCs enabled collaborative programming course. Interact. Learn. Environ. 25(2): 220-234 (2017) - [c1]Shao-Yu Wang, Owen H. T. Lu
Examining the Trend of Taiwan Primary and High School Scientific Exhibition by Using Text Mining Technique. IIAI-AAI 2017: 477-481
Coauthor Index
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