Towards Understanding How to Leverage Sense-making, Induction/Refinement and Fluency to Improve Robust Learning. - Shayan Doroudi; Kenneth Holstein; Vincent Aleven; Emma Brunskill (EDM, 2015)

A PAC RL Algorithm for Episodic POMDPs. - Zhaohan Daniel Guo; Shayan Doroudi; Emma Brunskill (AISTATS, 2016)

Toward a Learning Science for Complex Crowdsourcing Tasks. - Shayan Doroudi; Ece Kamar; Emma Brunskill; Eric Horvitz (CHI, 2016)

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 (EDM (Workshops), 2016)

Sequence Matters, But How Exactly? A Method for Evaluating Activity Sequences from Data. - Shayan Doroudi; Kenneth Holstein; Vincent Aleven; Emma Brunskill (EDM, 2016)

The Misidentified Identifiability Problem of Bayesian Knowledge Tracing. - Shayan Doroudi; Emma Brunskill (EDM, 2017)

Robust Evaluation Matrix: Towards a More Principled Offline Exploration of Instructional Policies. - Shayan Doroudi; Vincent Aleven; Emma Brunskill (L@S, 2017)

Computation, Constructivism, and Curriculum Design. - Shayan Doroudi (ICLS, 2018)

Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing. - Shayan Doroudi; Joseph Jay Williams; Juho Kim 001; Thanaporn Patikorn; Korinn Ostrow; Douglas Selent; Neil T. Heffernan; Thomas T. Hills; Carolyn P. Rosé (ICLS, 2018)

Importance Sampling for Fair Policy Selection. - Shayan Doroudi; Philip S. Thomas; Emma Brunskill (IJCAI, 2018)

Where's the Reward? A Review of Reinforcement Learning for Instructional Sequencing. - Shayan Doroudi (ITS Workshops, 2018)

Not Everyone Writes Good Examples but Good Examples Can Come from Anywhere. - Shayan Doroudi; Ece Kamar; Emma Brunskill (HCOMP, 2019)

Fairer but Not Fair Enough On the Equitability of Knowledge Tracing. - Shayan Doroudi; Emma Brunskill (LAK, 2019)

Where's the Reward? - Shayan Doroudi; Vincent Aleven; Emma Brunskill (Int. J. Artif. Intell. Educ., 2019)

Mastery Learning Heuristics and Their Hidden Models. - Shayan Doroudi (AIED (2), 2020)

Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data. - Renzhe Yu; Qiujie Li; Christian Fischer 007; Shayan Doroudi; Di Xu (EDM, 2020)

Probing Learning Scientists' Beliefs About Learning and Science. - Shayan Doroudi; Kenneth Holstein; Petr Johanes (ICLS, 2020)

Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education? - Kenneth Holstein; Shayan Doroudi (CoRR, 2021)

Learnersourcing in Theory and Practice: Synthesizing the Literature and Charting the Future. - Anjali Singh; Christopher Brooks 001; Shayan Doroudi (L@S, 2022)

A Computational Model for the ICAP Framework: Exploring Agent-Based Modeling as an AIED Methodology. - Sina Rismanchian; Shayan Doroudi (AIED, 2023)

Four Interactions Between AI and Education: Broadening Our Perspective on What AI Can Offer Education. - Sina Rismanchian; Shayan Doroudi (AIED (Posters/Late Breaking Results/...), 2023)

The Relevance of Ivan Illich's Learning Webs 50 Years On. - Shayan Doroudi; Yusuf Ahmad (L@S, 2023)

Effects of Scaling Up Apprentice-Style Research: Perceptions from Mentors and Mentees. - David Van Nguyen; Daniel A. Epstein; Shayan Doroudi (L@S, 2023)

Algorithm-Generated Versus Human-Generated Academic Plans: Determining Optimality from Community College Articulation Agreements. - David Van Nguyen; Shayan Doroudi; Daniel A. Epstein (CoRR, 2023)

Community College Articulation Agreement Websites: Students' Suggestions for New Academic Advising Software Features. - David Van Nguyen; Shayan Doroudi; Daniel A. Epstein (CoRR, 2023)

The Bias-Variance Tradeoff in Cognitive Science. - Shayan Doroudi; Seyed Ali Rastegar (Cogn. Sci., 2023)

The Intertwined Histories of Artificial Intelligence and Education. - Shayan Doroudi (Int. J. Artif. Intell. Educ., 2023)

Three Algorithms for Grouping Students: A Bridge Between Personalized Tutoring System Data and Classroom Pedagogy. - Christopher Lechuga; Shayan Doroudi (Int. J. Artif. Intell. Educ., 2023)

Turtle-like Geometry Learning: How Humans and Machines Differ in Learning Turtle Geometry. - Sina Rismanchian; Shayan Doroudi; Yasaman Razeghi (AAAI Spring Symposia, 2024)

Advancing Knowledge Together: Integrating Large Language Model-based Conversational AI in Small Group Collaborative Learning. - Zhenyao Cai; Seehee Park; Nia Nixon; Shayan Doroudi (CHI Extended Abstracts, 2024)

On the paradigms of learning analytics: Machine learning meets epistemology. - Shayan Doroudi (Comput. Educ. Artif. Intell., 2024)

Reconciling Different Theories of Learning with an Agent-based Model of Procedural Learning. - Sina Rismanchian; Shayan Doroudi (CoRR, 2024)

TurtleBench: A Visual Programming Benchmark in Turtle Geometry. - Sina Rismanchian; Yasaman Razeghi; Sameer Singh 001; Shayan Doroudi (NAACL (Long Papers), 2025)