Shayan Doroudi

41 papers A* 2A 4B 12Journal 13Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	What undergraduate students need to know and actually know about generative AI. Comput. Educ. Artif. Intell. Sina Rismanchian, Eesha Tur Razia Babar, Shayan Doroudi
2025	B	`conf`	Minds at School: Advancing cognitive science by measuring and modeling human learning in situ. CogSci Judith E. Fan, Kristine Zheng, Benjamin A. Motz, Shayan Doroudi, Ji Son, Candace Thille
2025	B	`conf`	Reconciling Different Theories of Learning With an Agent-based Model of Procedural Learning. CogSci Sina Rismanchian, Shayan Doroudi
2025	J	`jnl`	The Evolution of Research on AI and Education Across Four Decades: Insights from the AIxEd Framework. Int. J. Artif. Intell. Educ. Sina Rismanchian, Shayan Doroudi
2025	—	`conf`	TurtleBench: A Visual Programming Benchmark in Turtle Geometry. NAACL (Long Papers) Sina Rismanchian, Yasaman Razeghi, Sameer Singh, Shayan Doroudi
2025	B	`conf`	What Perceptrons Might Tell Us About Our Own Abilities. CogSci Shayan Doroudi
2024	—	`conf`	Advancing Knowledge Together: Integrating Large Language Model-based Conversational AI in Small Group Collaborative Learning. CHI Extended Abstracts Zhenyao Cai, Seehee Park, Nia Nixon, Shayan Doroudi
2024	J	`jnl`	On the paradigms of learning analytics: Machine learning meets epistemology. Comput. Educ. Artif. Intell. Shayan Doroudi
2024	J	`jnl`	Reconciling Different Theories of Learning with an Agent-based Model of Procedural Learning. CoRR Sina Rismanchian, Shayan Doroudi
2024	—	`conf`	Turtle-like Geometry Learning: How Humans and Machines Differ in Learning Turtle Geometry. AAAI Spring Symposia Sina Rismanchian, Shayan Doroudi, Yasaman Razeghi
2024	J	`jnl`	TurtleBench: A Visual Programming Benchmark in Turtle Geometry. CoRR Sina Rismanchian, Yasaman Razeghi, Sameer Singh, Shayan Doroudi
2023	A	`conf`	A Computational Model for the ICAP Framework: Exploring Agent-Based Modeling as an AIED Methodology. AIED Sina Rismanchian, Shayan Doroudi
2023	J	`jnl`	Algorithm-Generated Versus Human-Generated Academic Plans: Determining Optimality from Community College Articulation Agreements. CoRR David Van Nguyen, Shayan Doroudi, Daniel A. Epstein
2023	J	`jnl`	Community College Articulation Agreement Websites: Students' Suggestions for New Academic Advising Software Features. CoRR David Van Nguyen, Shayan Doroudi, Daniel A. Epstein
2023	B	`conf`	Effects of Scaling Up Apprentice-Style Research: Perceptions from Mentors and Mentees. L@S David Van Nguyen, Daniel A. Epstein, Shayan Doroudi
2023	—	`conf`	Four Interactions Between AI and Education: Broadening Our Perspective on What AI Can Offer Education. AIED (Posters/Late Breaking Results/...) Sina Rismanchian, Shayan Doroudi
2023	J	`jnl`	The Bias-Variance Tradeoff in Cognitive Science. Cogn. Sci. Shayan Doroudi, Seyed Ali Rastegar
2023	J	`jnl`	The Intertwined Histories of Artificial Intelligence and Education. Int. J. Artif. Intell. Educ. Shayan Doroudi
2023	B	`conf`	The Relevance of Ivan Illich's Learning Webs 50 Years On. L@S Shayan Doroudi, Yusuf Ahmad
2023	J	`jnl`	Three Algorithms for Grouping Students: A Bridge Between Personalized Tutoring System Data and Classroom Pedagogy. Int. J. Artif. Intell. Educ. Christopher Lechuga, Shayan Doroudi
2022	B	`conf`	Learnersourcing in Theory and Practice: Synthesizing the Literature and Charting the Future. L@S Anjali Singh, Christopher Brooks, Shayan Doroudi
2021	J	`jnl`	Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education? CoRR Kenneth Holstein, Shayan Doroudi
2020	—	`conf`	Mastery Learning Heuristics and Their Hidden Models. AIED (2) Shayan Doroudi
2020	—	`conf`	Probing Learning Scientists' Beliefs About Learning and Science. ICLS Shayan Doroudi, Kenneth Holstein, Petr Johanes
2020	B	`conf`	Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data. EDM Renzhe Yu, Qiujie Li, Christian Fischer, Shayan Doroudi, Di Xu
2019	A	`conf`	Fairer but Not Fair Enough On the Equitability of Knowledge Tracing. LAK Shayan Doroudi, Emma Brunskill
2019	B	`conf`	Not Everyone Writes Good Examples but Good Examples Can Come from Anywhere. HCOMP Shayan Doroudi, Ece Kamar, Emma Brunskill
2019	J	`jnl`	Where's the Reward? Int. J. Artif. Intell. Educ. Shayan Doroudi, Vincent Aleven, Emma Brunskill
2018	—	`conf`	Computation, Constructivism, and Curriculum Design. ICLS Shayan Doroudi
2018	—	`conf`	Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing. ICLS Shayan Doroudi, Joseph Jay Williams, Juho Kim, Thanaporn Patikorn, Korinn Ostrow, Douglas Selent, Neil T. Heffernan, Thomas T. Hills, Carolyn P. Rosé
2018	A*	`conf`	Importance Sampling for Fair Policy Selection. IJCAI Shayan Doroudi, Philip S. Thomas, Emma Brunskill
2018	—	`conf`	Where's the Reward? A Review of Reinforcement Learning for Instructional Sequencing. ITS Workshops Shayan Doroudi
2017	A	`conf`	Importance Sampling for Fair Policy Selection. UAI Shayan Doroudi, Philip S. Thomas, Emma Brunskill
2017	B	`conf`	Robust Evaluation Matrix: Towards a More Principled Offline Exploration of Instructional Policies. L@S Shayan Doroudi, Vincent Aleven, Emma Brunskill
2017	B	`conf`	The Misidentified Identifiability Problem of Bayesian Knowledge Tracing. EDM Shayan Doroudi, Emma Brunskill
2016	A	`conf`	A PAC RL Algorithm for Episodic POMDPs. AISTATS Zhaohan Daniel Guo, Shayan Doroudi, Emma Brunskill
2016	J	`jnl`	A PAC RL Algorithm for Episodic POMDPs. CoRR Zhaohan Daniel Guo, Shayan Doroudi, Emma Brunskill
2016	—	`conf`	Sequence Matters, But How Do I Discover How? Towards a Workflow for Evaluating Activity Sequences from Data. EDM (Workshops) Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill
2016	B	`conf`	Sequence Matters, But How Exactly? A Method for Evaluating Activity Sequences from Data. EDM Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill
2016	A*	`conf`	Toward a Learning Science for Complex Crowdsourcing Tasks. CHI Shayan Doroudi, Ece Kamar, Emma Brunskill, Eric Horvitz
2015	B	`conf`	Towards Understanding How to Leverage Sense-making, Induction/Refinement and Fluency to Improve Robust Learning. EDM Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill