Chuang, K. Z., Hsu, H. K., Hsu, T. T., & Lu, O. H. (2025, September). Rethinking jigsaw method with partially engaged AI. In Proceedings of the 1st International Conference on Learning Evidence and Analytics (ICLEA). Fukuoka, Japan.
Wu, S. Y., & Lu, O. H. (2025, July). Analyzing and visualizing interactive processes in virtual reality-based learning environments. In Proceedings of the 9th International Conference on Education and Multimedia Technology (ICEMST). Osaka, Japan.
Liu, Z. Q., & Lu, O. H. (2025, July). Beyond clickstream: Conversations predict student success. In Proceedings of the 9th International Conference on Digital Learning Strategies and Applications (DLSA). Hokkaido, Japan.
Kuo, Y.-C., Chen, C.-Y., Chen, W.-H., Huang, A. Y. Q., Lu, O. H. T., & Yang, S. J. H. (2025, March). Assessing GPT-4o and large language models' Traditional Chinese comprehension and educational potential through Taiwan's junior high school Chinese examinations. In Proceedings of the 6th International Conference on Learning Environment and Educational Technology (LEET). Fukuoka, Japan.
Huang Y.Q., Tzeng J.W., Huang C.S., Liu, Z. Q., Tanujaya, B.C., Lu, O.H.*(2024, November). Using ChatGPT in Group Discussions: Effects on Learning Plato's Allegory of the Cave. In Proceedings of the GenAI in Education - From Hallucinations to Reality: Integrating Learning Analytics and Generative AI for Enhancing Personalized Learning Experiences at the 32nd International Conference on Computers in Education (ICCE). Manila, Philippines
Hsu, T. T., & Lu, O. H. (2024, November). Methods of balancing model explainability and performance in identifying at-risk students. In Proceedings of The 7th Workshop on Predicting Performance Based on the Analysis of Reading and Learning Behavior at the 32nd International Conference on Computers in Education (ICCE). Manila, Philippines.
Lu O.H.T. (2024). Establishing the Baseline for Student Risk Prediction Task on Learning Behaviors and Strategies (LBLS) Dataset. In 28th Global Chinese Conference on Computers in Education (pp. 141-142). Chongqing, China
Hsu, T. T., & Lu, O. H. (2024 March). Explore the Explanation and Consistency of Explainable AI in the LBLS Data Set. In Data Challenge Workshop at the 14th International Conference on Learning Analytics and Knowledge (pp. 64-72). Kyoto, Japan
Liu, Z. Q., Tseng, H. T., & Lu, O. H. (2024 March). The Feasibility of Utilizing ChatGPT in Learning Analytics for the Identification of At-Risk Students. In Data Challenge Workshop at the 13th International Conference on Learning Analytics and Knowledge (pp. 56-63). Kyoto, Japan
Bobea M., Park. S., Flanagan. B. & Lu, O.H.* (2023 March). Improving the Prediction Accuracy of Student Performance in a Cross-Semester Scenario Utilizing a Domain Adaptation Approach. In Data Challenge Workshop at the 13th International Conference on Learning Analytics and Knowledge (LAK2023). Texus, USA
Li. A, Li, M.J., Bobea M., Huang A. Y., Yang, S. J. & Lu, O.H.* (2023 March). Analyzing Student Programming Propensity with SHAP to Classify Future Performance. In Data Challenge Workshop at the 13th International Conference on Learning Analytics and Knowledge (LAK2023). Texus, USA
Lu, O. H.,*, Huang, A. Y., Flanagan, B., Ogata, H. & Yang, S. J. (2022, November). A Quality Data Set for Data Challenge: Featuring 160 Students' Learning Behaviors and Learning Strategies in a Programming Course. In 30th International Conference on Computers in Education (ICCE), Online.
Navabud, P., & Lu, H.T.* (2022, July). A Synthetic Approach to Validate the Usability of Anomaly Detection Model. In 2022 IEEE International Conference on Consumer Electronics-Taiwan (pp. 249-250). IEEE.
Huang, J. B., Huang, A. Y., Lu, O. H., & Yang, S. J. (2021, July). Exploring Learning Strategies by Sequence Clustering and Analysing their Correlation with Student's Engagement and Learning Outcome. In 2021 International Conference on Advanced Learning Technologies (ICALT) (pp. 360-362). IEEE. (Best Paper Award)
Tsai, D. C., Huang, A. Y., Lu, O. H., & Yang, S. J. (2021, July). Automatic question generation for repeated testing to improve student learning outcome. In 2021 International Conference on Advanced Learning Technologies (ICALT) (pp. 339-341). IEEE.
Weng, J. X., Huang, A. Y., Lu, O. H., Chen, I. Y., & Yang, S. J. (2020, December). The Implementation of Precision Education for Learning Analytics. In 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) (pp. 327-332). IEEE.
Kang, C. H., Huang, Y. Q., Lu, H. T., Jong, B. S., & Yang, J. H. (2020, November). Using Sequence Clustering to Unveil Students’ Learning Strategies and Explore the Relationship with Cognitive Load. In The 28th International Conference on Computers in Education (ICCE), Online.
Lu, HT, Huang, YQ*, Kuo, CY, Yang, JH (2020, November). Sequence Pattern Mining for the identification of reading behavior based on SQ3R reading strategy. In The 28th International Conference on Computers in Education (ICCE), Online.
Tosti H.C. Chiang, Chester, S. J. Huang, Owen H.T. Lu, Anna Y.Q. Huang, Stephen J. H. Yang (2019, September). User-oriented Artificial Intelligence Improvement for Digital Teaching Videos classification in Open Educational Resources Platform. In 2019 The Second International Cognitive Cities Conference (IC3). (EI indexed)
Lu, O.H.T., Huang, A.Y.Q., Yang, S.J.H.* (2018, November). Benchmarking and Tuning Regression Algorithms on Predicting Students’ Academic Performance. In 2018 26th International Conference on Computers in Education (ICCE)
Huang, A.Y.Q., Lu, O.H.T., Yang, S.J.H.* (2018, November). Prediction of Students’ Academic Performance based on Tracking logs. In 2018 26th International Conference on Computers in Education (ICCE)
Lin, S. C., Wu, P. H., Lu, H. T., Chuang, S. H., & Wang, W. J. (2018, April). Dynamic throttling for IoT streaming hub services on multi-tenant cloud environment. In 2018 IEEE International Conference on Applied System Invention (ICASI) (pp. 544-547). IEEE. (EI indexed, Best Paper Award)
Wang, S. Y., Lu, O.H.T., Lee, W. L., Chiang, T. H., Su, W. S., Lin, M. C., & Yang, S. J. (2017, July). Examining the Trend of Taiwan Primary and High School Scientific Exhibition by Using Text Mining Technique. In 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) (pp. 477-481) (pp. 477-481). IEEE.
Lu, O.H.T., Huang, A.Y.Q., Huang, J.C.H., Huang, C.S.J., Yang, S.J.H.* (2016, September). Early-stage Engagement: Applying Big Data Analytics on Collaborative Learning Environment for Measuring Learners’ Engagement Rate. In The Fifth International Conference on Educational Innovation through Technology (EITT)(pp. 414-415). IEEE. (EI indexed)
Lu, H. T., Wu, P. H., Kao, C. H., & Lee, Y. H. (2015, December). hpNFS: A Hierarchical Approach for the Parallel Network File System. In Utility and Cloud Computing (UCC), 2015 IEEE/ACM 8th International Conference on (pp. 414-415). IEEE.
Lu, H. T., Kao, C. H., Wu, P. H., Yang, C. C., & Chi, P. H. (2015, July). Design and Implementation of HPC-SA in OpenStack Cloud Platform. In Computational Intelligence, Modelling and Simulation (CIMSim), 2015 Seventh International Conference on(pp. 55-60). IEEE.(EI indexed)
Lu, H. T., Kao, C. H., Wu, P. H., & Lee, Y. H. (2014, December). Towards a hosted private cloud storage solution for application service provider. In Cloud Computing and Internet of Things (CCIOT), 2014 International Conference on (pp. 82-84). IEEE.(EI indexed)
Kao, C. H., Lu, H. T., & Lin, C. C. (2014, December). Toward a Cloud Based Framework for Facilitating Software Development and Testing Tasks. In Utility and Cloud Computing (UCC), 2014 IEEE/ACM 7th International Conference on (pp. 491-492). IEEE.
Kao, C. H., & Lu, O.H.T. (2013). Development of a Document Management System for Private Cloud Environment. Procedia-Social and Behavioral Sciences, 73, 424-429.
Kao, C. H., & Lu, H. T. (2011, December). A prototype system for object management in private cloud. In Cloud and Service Computing (CSC), 2011 International Conference on (pp. 348-353). IEEE.