| A cargo-sorting DNA robot AJ Thubagere, W Li, RF Johnson, Z Chen, S Doroudi, YL Lee, G Izatt, ... Science 357 (6356), 2017 | 238 | 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 | 64 | 2016 |
| Importance Sampling for Fair Policy Selection. S Doroudi, PS Thomas, E Brunskill Proceedings of the Thirty-Third Conference on Uncertainty in Artificial …, 2017 | 23 | 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 | 17 | 2016 |
| 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 | 17 | 2015 |
| The Misidentified Identifiability Problem of Bayesian Knowledge Tracing. S Doroudi, E Brunskill Proceedings of the 10th International Conference on Educational Data Mining, 2017 | 16 | 2017 |
| 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 | 15 | 2017 |
| A pac rl algorithm for episodic pomdps ZD Guo, S Doroudi, E Brunskill Artificial Intelligence and Statistics, 510-518, 2016 | 14 | 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 | 11 | 2019 |
| 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 | 5 | 2020 |
| Fairness and equity in learning analytics systems (FairLAK). K Holstein, S Doroudi Companion Proceedings of the Ninth International Learning Analytics …, 2019 | 4 | 2019 |
| Where’s the reward? S Doroudi, V Aleven, E Brunskill International Journal of Artificial Intelligence in Education 29 (4), 568-620, 2019 | 3 | 2019 |
| Not everyone writes good examples but good examples can come from anywhere S Doroudi, E Kamar, E Brunskill Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 7 …, 2019 | 2 | 2019 |
| Crowdsourcing and education: Towards a theory and praxis of learnersourcing S Doroudi, J Williams, J Kim, T Patikorn, K Ostrow, D Selent, NT Heffernan, ... International Society of the Learning Sciences, Inc.[ISLS]., 2018 | 2 | 2018 |
| Probing learning scientists’ beliefs about learning and science S Doroudi, K Holstein, P Johanes International Society of the Learning Sciences (ISLS), 2020 | 1 | 2020 |
| The Many Styles of Learning Styles Research: A Response to Fallace (2019) S Doroudi EdArXiv, 2019 | 1 | 2019 |
| Computation, Constructivism, and Curriculum Design S Doroudi International Society of the Learning Sciences, Inc.[ISLS]., 2018 | 1 | 2018 |
| Sequence Matters, But How Do I Discover How? Towards a Workflow for Evaluating Activity Sequences from Data. S Doroudi, K Holstein, V Aleven, E Brunskill EDM (Workshops), 2016 | 1 | 2016 |
| The Bias-Variance Tradeoff: How Data Science Can Inform Educational Debates S Doroudi AERA Open 6 (4), 2332858420977208, 2020 | | 2020 |
| Mastery Learning Heuristics and Their Hidden Models S Doroudi International Conference on Artificial Intelligence in Education, 86-91, 2020 | | 2020 |
Emma BrunskillAssistant Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
