| Mining big data in education: Affordances and challenges C Fischer, ZA Pardos, RS Baker, JJ Williams, P Smyth, R Yu, S Slater, ... Review of Research in Education 44 (1), 130-160, 2020 | 453 | 2020 |
| Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data R Yu, Q Li, C Fischer, S Doroudi, D Xu Proceedings of the 13th International Conference on Educational Data Mining …, 2020 | 118 | 2020 |
| Should College Dropout Prediction Models Include Protected Attributes? R Yu, H Lee, RF Kizilcec Proceedings of the Eighth ACM Conference on Learning@ Scale, 91-100, 2021 | 107 | 2021 |
| The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes R Baker, D Xu, J Park, R Yu, Q Li, B Cung, C Fischer, F Rodriguez, ... International Journal of Educational Technology in Higher Education 17, 1-24, 2020 | 99 | 2020 |
| Understanding Student Procrastination via Mixture Models J Park, R Yu, F Rodriguez, R Baker, P Smyth, M Warschauer International Educational Data Mining Society, 2018 | 78 | 2018 |
| Interpretable Models Do Not Compromise Accuracy or Fairness in Predicting College Success C Kung, R Yu Proceedings of the Seventh ACM Conference on Learning@ Scale, 413-416, 2020 | 33 | 2020 |
| Utilizing Learning Analytics to Map Students' Self-Reported Study Strategies to Click Behaviors in STEM Courses F Rodriguez, R Yu, J Park, MJ Rivas, M Warschauer, BK Sato Proceedings of the 9th International Conference on Learning Analytics …, 2019 | 29 | 2019 |
| Large-Scale Student Data Reveal Sociodemographic Gaps in Procrastination Behavior S Sabnis, R Yu, RF Kizilcec Proceedings of the Ninth ACM Conference on Learning@ Scale, 133-141, 2022 | 23 | 2022 |
| Risk and protective factors of college students’ psychological well-being during the COVID-19 pandemic: emotional stability, mental health, and household resources J Moeller, L von Keyserlingk, M Spengler, H Gaspard, HR Lee, ... AERA Open 8, 23328584211065725, 2022 | 21 | 2022 |
| The life cycle of large language models in education: A framework for understanding sources of bias J Lee, Y Hicke, R Yu, C Brooks, RF Kizilcec British Journal of Educational Technology 55 (5), 1982-2002, 2024 | 19* | 2024 |
| LIWCs the same, not the same: Gendered linguistic signals of performance and experience in online STEM courses Y Lin, R Yu, N Dowell Artificial Intelligence in Education: 21st International Conference, AIED …, 2020 | 19 | 2020 |
| Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity J Gardner, R Yu, Q Nguyen, C Brooks, R Kizilcec Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 18 | 2023 |
| A new research on the capitalization of school quality in housing prices: An empirical study based on repeated cross-sectional data in Beijing W Ha, HB Wu, RZ Yu Educ. Econ 5, 3-10, 2015 | 17* | 2015 |
| Salient syllabi: Examining design characteristics of science online courses in higher education C Fischer, P McPartlan, GA Orona, R Yu, D Xu, M Warschauer PloS one 17 (11), e0276839, 2022 | 15 | 2022 |
| Quasi-Experimental Evidence of a School Equalization Reform on Housing Prices in Beijing W Ha, R Yu Chinese Education & Society 52 (3-4), 162-185, 2019 | 12* | 2019 |
| Representing and predicting student navigational pathways in online college courses R Yu, D Jiang, M Warschauer Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 1-4, 2018 | 12 | 2018 |
| Is Big Data Better? LMS Data and Predictive Analytic Performance in Postsecondary Education KA Bird, BL Castleman, Y Song, R Yu EdWorking Paper, 2022 | 6 | 2022 |
| Opening the black box: user-log analyses of children’s e-Book reading and associations with word knowledge O Umarji, S Day, Y Xu, E Zargar, R Yu, C Connor Reading and Writing 34 (3), 627-657, 2021 | 6 | 2021 |
| Temporal and Between-Group Variability in College Dropout Prediction D Glandorf, HR Lee, GA Orona, M Pumptow, R Yu, C Fischer Proceedings of the 14th Learning Analytics and Knowledge Conference, 486-497, 2024 | 5 | 2024 |
| Contexts Matter but How? Course-Level Correlates of Performance and Fairness Shift in Predictive Model Transfer Z Xu, J Olson, N Pochinki, Z Zheng, R Yu Proceedings of the 14th Learning Analytics and Knowledge Conference, 713-724, 2024 | 5 | 2024 |
Christian FischerAssistant Professor, University of Tübingen, Germanyuni-tuebingen.de의 이메일 확인됨