| Learning analytics in the era of large language models E Mazzullo, O Bulut, T Wongvorachan, B Tan Analytics 2 (4), 877-898, 2023 | 9 | 2023 |
| Rapid guessing in low-stakes assessments: Finding the optimal response time threshold with random search and genetic algorithm O Bulut, G Gorgun, T Wongvorachan, B Tan Algorithms 16 (2), 89, 2023 | 6 | 2023 |
| Employing tree-based algorithms to predict students' self-efficacy in PISA 2018 B Tan, M Cutumisu The 15th International Conference on Educational Data Mining, 634-639, 2022 | 4 | 2022 |
| Predicting reading comprehension performance based on student characteristics and item properties M Yousefpoori-Naeim, O Bulut, B Tan Studies in Educational Evaluation 79, 101309, 2023 | 2 | 2023 |
| The applications of machine learning in computational thinking assessments: A scoping review B Tan, J Hao-Yue, M Cutumisu Computer Science Education, 2023 | 2 | 2023 |
| Item difficulty and response time prediction with large language models: An empirical analysis of USMLE items O Bulut, G Gorgun, B Tan The 19th Workshop on Innovative Use of NLP for Building Educational Applications, 2024 | 1 | 2024 |
| A review of automatic item generation techniques leveraging large language models B Tan, N Armoush, E Mazzullo, O Bulut, MJ Gierl EdArXiv Preprints, 2024 | 1* | 2024 |
| Response time as a predictor of test performance: Assessing the value of response time profiles B Tan University of Alberta, 2023 | 1* | 2023 |
| The rise of artificial intelligence in educational measurement: Opportunities and ethical challenges O Bulut, M Beiting-Parrish, JM Casabianca, SC Slater, H Jiao, D Song, ... arXiv preprint arXiv:2406.18900, 2024 | | 2024 |
| Self-regulated learning through online formative assessments: The effects of assessment frequency and participation on student performance O Bulut, G Gorgun, B Tan, T Wongvorachan, S Yildirim-Erbasli, A Clelland Proceedings of the 17th International Conference of the Learning Sciences …, 2023 | | 2023 |
