| How students’ self-assessment behavior affects their online learning performance ACM Yang, IYL Chen, B Flanagan, H Ogata Computers and Education: Artificial Intelligence 3, 100058, 2022 | 41 | 2022 |
| Automatic generation of cloze items for repeated testing to improve reading comprehension ACM Yang, IYL Chen, B Flanagan, H Ogata Educational Technology & Society 24 (3), 147-158, 2021 | 21 | 2021 |
| Adaptive formative assessment system based on computerized adaptive testing and the learning memory cycle for personalized learning ACM Yang, B Flanagan, H Ogata Computers and Education: Artificial Intelligence 3, 100104, 2022 | 14 | 2022 |
| From human grading to machine grading ACM Yang, IYL Chen, B Flanagan, H Ogata Educational Technology & Society 24 (1), 164-175, 2021 | 8 | 2021 |
| Applying key concepts extraction for evaluating the quality of students’ highlights on e-book A YANG, YL CHEN, B FLANAGAN, H OGATA 28th international conference on computers in education conference …, 2020 | 3 | 2020 |
| Evaluation and modeling of students’ persistence and wheel-spinning propensities in formative assessments ACM Yang, H Ogata Smart Learning Environments 10 (1), 63, 2023 | 1 | 2023 |
| Personalized Intervention based on the Early Prediction of At-risk Students to Improve Their Learning Performance AYQ Huang, JW Chang, ACM Yang, H Ogata, ST Li, RX Yen, SJH Yang Educational Technology & Society 26 (4), 69-89, 2023 | 1 | 2023 |
| Trustworthy and Explainable AI for Learning Analytics MJ Li, ST Li, ACM Yang, AYQ Huang, SJH Yang | 1 | 2023 |
| How Does The Quality of Students’ Highlights Affect Their Learning Performance in e-Book Reading A YANG, YL CHEN, B FLANAGAN, H OGATA 28th International Conference on Computers in Education Conference …, 2020 | | 2020 |
| An Intelligent Evaluation Framework for Personalized Learning A YANG, H OGATA | | |
