| 2026 | AIED | From Empirical Replication to Hypothesis Generation: Concretizing Our Understanding of Learning with a Computational Model of ICAP. | Mandy Pan, Sina Rismanchian, Shayan Doroudi |
| 2025 | CogSci | What Perceptrons Might Tell Us About Our Own Abilities. | Shayan Doroudi |
| 2025 | CogSci | Minds at School: Advancing cognitive science by measuring and modeling human learning in situ. | Judith E. Fan, Kristine Zheng, Benjamin A. Motz, Shayan Doroudi, Ji Son, Candace Thille |
| 2025 | CogSci | Reconciling Different Theories of Learning With an Agent-based Model of Procedural Learning. | Sina Rismanchian, Shayan Doroudi |
| 2025 | NAACL | TurtleBench: A Visual Programming Benchmark in Turtle Geometry. | Sina Rismanchian, Yasaman Razeghi, Sameer Singh, Shayan Doroudi |
| 2024 | CHI | Advancing Knowledge Together: Integrating Large Language Model-based Conversational AI in Small Group Collaborative Learning. | Zhenyao Cai, Seehee Park, Nia Nixon, Shayan Doroudi |
| 2023 | AIED | A Computational Model for the ICAP Framework: Exploring Agent-Based Modeling as an AIED Methodology. | Sina Rismanchian, Shayan Doroudi |
| 2023 | AIED | Four Interactions Between AI and Education: Broadening Our Perspective on What AI Can Offer Education. | Sina Rismanchian, Shayan Doroudi |
| 2020 | AIED | Mastery Learning Heuristics and Their Hidden Models. | Shayan Doroudi |
| 2020 | EDM | Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data. | Renzhe Yu, Qiujie Li, Christian Fischer, Shayan Doroudi, Di Xu |
| 2019 | HCOMP | Not Everyone Writes Good Examples but Good Examples Can Come from Anywhere. | Shayan Doroudi, Ece Kamar, Emma Brunskill |
| 2019 | LAK | Fairer but Not Fair Enough On the Equitability of Knowledge Tracing. | Shayan Doroudi, Emma Brunskill |
| 2018 | IJCAI | Importance Sampling for Fair Policy Selection. | Shayan Doroudi, Philip S. Thomas, Emma Brunskill |
| 2018 | ITS | Where's the Reward? A Review of Reinforcement Learning for Instructional Sequencing. | Shayan Doroudi |
| 2017 | EDM | The Misidentified Identifiability Problem of Bayesian Knowledge Tracing. | Shayan Doroudi, Emma Brunskill |
| 2017 | UAI | Importance Sampling for Fair Policy Selection. | Shayan Doroudi, Philip S. Thomas, Emma Brunskill |
| 2016 | AISTATS | A PAC RL Algorithm for Episodic POMDPs. | Zhaohan Daniel Guo, Shayan Doroudi, Emma Brunskill |
| 2016 | CHI | Toward a Learning Science for Complex Crowdsourcing Tasks. | Shayan Doroudi, Ece Kamar, Emma Brunskill, Eric Horvitz |
| 2016 | EDM | Sequence Matters, But How Do I Discover How? Towards a Workflow for Evaluating Activity Sequences from Data. | Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill |
| 2016 | EDM | Sequence Matters, But How Exactly? A Method for Evaluating Activity Sequences from Data. | Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill |
| 2015 | EDM | Towards Understanding How to Leverage Sense-making, Induction/Refinement and Fluency to Improve Robust Learning. | Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill |