Shayan Doroudi

According to our database, Shayan Doroudi authored at least 28 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., December, 2023

The Intertwined Histories of Artificial Intelligence and Education.

Shayan Doroudi

Int. J. Artif. Intell. Educ., December, 2023

The Bias-Variance Tradeoff in Cognitive Science.

Shayan Doroudi, Seyed Ali Rastegar

Cogn. Sci., January, 2023

Community College Articulation Agreement Websites: Students' Suggestions for New Academic Advising Software Features.

David Van Nguyen, Shayan Doroudi, Daniel A. Epstein

CoRR, 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

Effects of Scaling Up Apprentice-Style Research: Perceptions from Mentors and Mentees.

David Van Nguyen, Daniel A. Epstein, Shayan Doroudi

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

The Relevance of Ivan Illich's Learning Webs 50 Years On.

Shayan Doroudi, Yusuf Ahmad

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Four Interactions Between AI and Education: Broadening Our Perspective on What AI Can Offer Education.

Sina Rismanchian, Shayan Doroudi

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

A Computational Model for the ICAP Framework: Exploring Agent-Based Modeling as an AIED Methodology.

Sina Rismanchian, Shayan Doroudi

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022

Learnersourcing in Theory and Practice: Synthesizing the Literature and Charting the Future.

Anjali Singh, Christopher Brooks, Shayan Doroudi

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

2021

Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education?

Kenneth Holstein, Shayan Doroudi

CoRR, 2021

2020

Probing Learning Scientists' Beliefs About Learning and Science.

Shayan Doroudi, Kenneth Holstein, Petr Johanes

Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020

Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data.

Renzhe Yu, Qiujie Li, Christian Fischer, Shayan Doroudi, Di Xu

Proceedings of the 13th International Conference on Educational Data Mining, 2020

Mastery Learning Heuristics and Their Hidden Models.

Shayan Doroudi

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Where's the Reward?

Shayan Doroudi, Vincent Aleven, Emma Brunskill

Int. J. Artif. Intell. Educ., 2019

Fairer but Not Fair Enough On the Equitability of Knowledge Tracing.

Shayan Doroudi, Emma Brunskill

Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Not Everyone Writes Good Examples but Good Examples Can Come from Anywhere.

Shayan Doroudi, Ece Kamar, Emma Brunskill

Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

2018

Where's the Reward? A Review of Reinforcement Learning for Instructional Sequencing.

Shayan Doroudi

Proceedings of the 14th International Conference on Intelligent Tutoring Systems 2018 Workshops, 2018

Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing.

Shayan Doroudi, Joseph Jay Williams, Juho Kim, Thanaporn Patikorn, Korinn Ostrow, Douglas Selent, Neil T. Heffernan, Thomas T. Hills, Carolyn P. Rosé

Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Computation, Constructivism, and Curriculum Design.

Shayan Doroudi

Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

2017

Importance Sampling for Fair Policy Selection.

Shayan Doroudi, Philip S. Thomas, Emma Brunskill

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Robust Evaluation Matrix: Towards a More Principled Offline Exploration of Instructional Policies.

Shayan Doroudi, Vincent Aleven, Emma Brunskill

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

The Misidentified Identifiability Problem of Bayesian Knowledge Tracing.

Shayan Doroudi, Emma Brunskill

Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016

Sequence Matters, But How Exactly? A Method for Evaluating Activity Sequences from Data.

Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill

Proceedings of the 9th International Conference on Educational Data Mining, 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

Proceedings of the Workshop and Tutorial Proceedings of the 9th International Conference on Educational Data Mining, 2016

Toward a Learning Science for Complex Crowdsourcing Tasks.

Shayan Doroudi, Ece Kamar, Emma Brunskill, Eric Horvitz

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

A PAC RL Algorithm for Episodic POMDPs.

Zhaohan Daniel Guo, Shayan Doroudi, Emma Brunskill

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Towards Understanding How to Leverage Sense-making, Induction/Refinement and Fluency to Improve Robust Learning.

Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill

Proceedings of the 8th International Conference on Educational Data Mining, 2015