Shayan Doroudi

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 32

Top Topics

Stochastic Sampling

Community College

Curriculum Design

Top Venues

Int. J. Artif. Intell. Educ.

Publications

Zhenyao Cai, Seehee Park, Nia Nixon, Shayan Doroudi
Advancing Knowledge Together: Integrating Large Language Model-based Conversational AI in Small Group Collaborative Learning. CHI Extended Abstracts (2024)
Sina Rismanchian, Shayan Doroudi, Yasaman Razeghi
Turtle-like Geometry Learning: How Humans and Machines Differ in Learning Turtle Geometry. AAAI Spring Symposia (2024)
Shayan Doroudi
On the paradigms of learning analytics: Machine learning meets epistemology. Comput. Educ. Artif. Intell. 6 (2024)
David Van Nguyen, Shayan Doroudi, Daniel A. Epstein
Algorithm-Generated Versus Human-Generated Academic Plans: Determining Optimality from Community College Articulation Agreements. CoRR (2023)
Sina Rismanchian, Shayan Doroudi
A Computational Model for the ICAP Framework: Exploring Agent-Based Modeling as an AIED Methodology. AIED (2023)
Shayan Doroudi, Yusuf Ahmad
The Relevance of Ivan Illich's Learning Webs 50 Years On. L@S (2023)
Christopher Lechuga, Shayan Doroudi
Three Algorithms for Grouping Students: A Bridge Between Personalized Tutoring System Data and Classroom Pedagogy. Int. J. Artif. Intell. Educ. 33 (4) (2023)
Shayan Doroudi
The Intertwined Histories of Artificial Intelligence and Education. Int. J. Artif. Intell. Educ. 33 (4) (2023)
David Van Nguyen, Shayan Doroudi, Daniel A. Epstein
Community College Articulation Agreement Websites: Students' Suggestions for New Academic Advising Software Features. CoRR (2023)
Shayan Doroudi, Seyed Ali Rastegar
The Bias-Variance Tradeoff in Cognitive Science. Cogn. Sci. 47 (1) (2023)
Sina Rismanchian, Shayan Doroudi
Four Interactions Between AI and Education: Broadening Our Perspective on What AI Can Offer Education. AIED (Posters/Late Breaking Results/...) (2023)
David Van Nguyen, Daniel A. Epstein, Shayan Doroudi
Effects of Scaling Up Apprentice-Style Research: Perceptions from Mentors and Mentees. L@S (2023)
Anjali Singh, Christopher Brooks, Shayan Doroudi
Learnersourcing in Theory and Practice: Synthesizing the Literature and Charting the Future. L@S (2022)
Kenneth Holstein, Shayan Doroudi
Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education? CoRR (2021)
Shayan Doroudi, Kenneth Holstein, Petr Johanes
Probing Learning Scientists' Beliefs About Learning and Science. ICLS (2020)
Renzhe Yu, Qiujie Li, Christian Fischer, Shayan Doroudi, Di Xu
Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data. EDM (2020)
Shayan Doroudi
Mastery Learning Heuristics and Their Hidden Models. AIED (2) (2020)
Shayan Doroudi, Ece Kamar, Emma Brunskill
Not Everyone Writes Good Examples but Good Examples Can Come from Anywhere. HCOMP (2019)
Shayan Doroudi, Emma Brunskill
Fairer but Not Fair Enough On the Equitability of Knowledge Tracing. LAK (2019)
Shayan Doroudi, Vincent Aleven, Emma Brunskill
Where's the Reward? Int. J. Artif. Intell. Educ. 29 (4) (2019)
Shayan Doroudi
Where's the Reward? A Review of Reinforcement Learning for Instructional Sequencing. ITS Workshops (2018)
Shayan Doroudi
Computation, Constructivism, and Curriculum Design. ICLS (2018)
Shayan Doroudi, Joseph Jay Williams, Juho Kim, Thanaporn Patikorn, Korinn Ostrow, Douglas Selent, Neil T. Heffernan, Thomas T. Hills, Carolyn Penstein Rosé
Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing. ICLS (2018)
Shayan Doroudi, Philip S. Thomas, Emma Brunskill
Importance Sampling for Fair Policy Selection. IJCAI (2018)
Shayan Doroudi, Emma Brunskill
The Misidentified Identifiability Problem of Bayesian Knowledge Tracing. EDM (2017)
Shayan Doroudi, Vincent Aleven, Emma Brunskill
Robust Evaluation Matrix: Towards a More Principled Offline Exploration of Instructional Policies. L@S (2017)
Shayan Doroudi, Philip S. Thomas, Emma Brunskill
Importance Sampling for Fair Policy Selection. UAI (2017)
Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill
Sequence Matters, But How Do I Discover How? Towards a Workflow for Evaluating Activity Sequences from Data. EDM (Workshops) (2016)
Shayan Doroudi, Ece Kamar, Emma Brunskill, Eric Horvitz
Toward a Learning Science for Complex Crowdsourcing Tasks. CHI (2016)
Zhaohan Daniel Guo, Shayan Doroudi, Emma Brunskill
A PAC RL Algorithm for Episodic POMDPs. CoRR (2016)
Zhaohan Daniel Guo, Shayan Doroudi, Emma Brunskill
A PAC RL Algorithm for Episodic POMDPs. AISTATS (2016)
Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill
Sequence Matters, But How Exactly? A Method for Evaluating Activity Sequences from Data. EDM (2016)
Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill
Towards Understanding How to Leverage Sense-making, Induction/Refinement and Fluency to Improve Robust Learning. EDM (2015)