| A cargo-sorting DNA robot AJ Thubagere, W Li, RF Johnson, Z Chen, S Doroudi, YL Lee, G Izatt, ... Science 357 (6356), eaan6558, 2017 | 550 | 2017 |
| Toward a learning science for complex crowdsourcing tasks S Doroudi, E Kamar, E Brunskill, E Horvitz Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016 | 123 | 2016 |
| Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data. R Yu, Q Li, C Fischer, S Doroudi, D Xu International educational data mining society, 2020 | 108 | 2020 |
| Where’s the reward? a review of reinforcement learning for instructional sequencing S Doroudi, V Aleven, E Brunskill International Journal of Artificial Intelligence in Education 29, 568-620, 2019 | 97 | 2019 |
| The intertwined histories of artificial intelligence and education S Doroudi International Journal of Artificial Intelligence in Education 33 (4), 885-928, 2023 | 85 | 2023 |
| Educational research and AI-generated writing: Confronting the coming tsunami T Tate, S Doroudi, D Ritchie, Y Xu, M Warschauer EdArXiv. January 10, 2023 | 83 | 2023 |
| A pac rl algorithm for episodic pomdps ZD Guo, S Doroudi, E Brunskill Artificial Intelligence and Statistics, 510-518, 2016 | 70 | 2016 |
| Fairer but not fair enough: On the equitability of knowledge tracing S Doroudi, E Brunskill Proceedings of the 9th International Conference on Learning Analytics …, 2019 | 63 | 2019 |
| Importance Sampling for Fair Policy Selection. S Doroudi, PS Thomas, E Brunskill Proceedings of the Thirty-Third Conference on Uncertainty in Artificial …, 2017 | 60 | 2017 |
| Equity and artificial intelligence in education: will" aied" amplify or alleviate inequities in education? K Holstein, S Doroudi arXiv preprint arXiv:2104.12920, 2021 | 52 | 2021 |
| The bias-variance tradeoff: How data science can inform educational debates S Doroudi AERA open 6 (4), 2332858420977208, 2020 | 52 | 2020 |
| Fairness and equity in learning analytics systems (FairLAK). K Holstein, S Doroudi Companion Proceedings of the Ninth International Learning Analytics …, 2019 | 41 | 2019 |
| Robust evaluation matrix: Towards a more principled offline exploration of instructional policies S Doroudi, V Aleven, E Brunskill Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale, 3-12, 2017 | 33 | 2017 |
| Sequence Matters, But How Exactly? A Method for Evaluating Activity Sequences from Data S Doroudi, K Holstein, V Aleven, E Brunskill Proceedings of the 9th International Conference on Educational Data Mining …, 2016 | 30 | 2016 |
| Learnersourcing in theory and practice: synthesizing the literature and charting the future A Singh, C Brooks, S Doroudi Proceedings of the ninth ACM conference on learning@ scale, 234-245, 2022 | 29 | 2022 |
| Equity and artificial intelligence in education K Holstein, S Doroudi The ethics of artificial intelligence in education, 151-173, 2022 | 28 | 2022 |
| The Misidentified Identifiability Problem of Bayesian Knowledge Tracing. S Doroudi, E Brunskill Proceedings of the 10th International Conference on Educational Data Mining, 2017 | 27 | 2017 |
| Learning, teaching, and assessment with generative artificial intelligence: towards a plateau of productivity E Koh, S Doroudi Learning: Research and Practice 9 (2), 109-116, 2023 | 24 | 2023 |
| Towards Understanding How to Leverage Sense-Making, Induction and Refinement, and Fluency to Improve Robust Learning S Doroudi, K Holstein, V Aleven, E Brunskill Proceedings of the 8th International Conference on Educational Data Mining …, 2015 | 22 | 2015 |
| Mastery learning heuristics and their hidden models S Doroudi Artificial Intelligence in Education: 21st International Conference, AIED …, 2020 | 21 | 2020 |
Emma BrunskillAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
