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ORCIDShayan Doroudi
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2020 – today
- 2023
[j2]Shayan Doroudi, Seyed Ali Rastegar:
The Bias-Variance Tradeoff in Cognitive Science. Cogn. Sci. 47(1) (2023)- 2022
- [c18]Anjali Singh, Christopher Brooks, Shayan Doroudi:
Learnersourcing in Theory and Practice: Synthesizing the Literature and Charting the Future. L@S 2022: 234-245 - 2021
- [i2]Kenneth Holstein, Shayan Doroudi:
Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education? CoRR abs/2104.12920 (2021) - 2020
- [c17]Shayan Doroudi
:
Mastery Learning Heuristics and Their Hidden Models. AIED (2) 2020: 86-91 - [c16]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 - [c15]Shayan Doroudi, Kenneth Holstein, Petr Johanes:
Probing Learning Scientists' Beliefs About Learning and Science. ICLS 2020
2010 – 2019
- 2019
- [j1]Shayan Doroudi, Vincent Aleven, Emma Brunskill:
Where's the Reward? Int. J. Artif. Intell. Educ. 29(4): 568-620 (2019) - [c14]Shayan Doroudi, Ece Kamar, Emma Brunskill:
Not Everyone Writes Good Examples but Good Examples Can Come from Anywhere. HCOMP 2019: 12-21 - [c13]Shayan Doroudi, Emma Brunskill:
Fairer but Not Fair Enough On the Equitability of Knowledge Tracing. LAK 2019: 335-339 - 2018
- [c12]Shayan Doroudi:
Computation, Constructivism, and Curriculum Design. ICLS 2018 - [c11]Shayan Doroudi, Joseph Jay Williams, Juho Kim, Thanaporn Patikorn, Korinn Ostrow, Douglas Selent, Neil T. Heffernan, Thomas T. Hills, Carolyn P. Rosé:
Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing. ICLS 2018 - [c10]Shayan Doroudi, Philip S. Thomas, Emma Brunskill:
Importance Sampling for Fair Policy Selection. IJCAI 2018: 5239-5243 - [c9]Shayan Doroudi:
Where's the Reward? A Review of Reinforcement Learning for Instructional Sequencing. ITS Workshops 2018: 147 - 2017
- [c8]Shayan Doroudi, Emma Brunskill:
The Misidentified Identifiability Problem of Bayesian Knowledge Tracing. EDM 2017 - [c7]Shayan Doroudi, Vincent Aleven, Emma Brunskill:
Robust Evaluation Matrix: Towards a More Principled Offline Exploration of Instructional Policies. L@S 2017: 3-12 - [c6]Shayan Doroudi, Philip S. Thomas, Emma Brunskill:
Importance Sampling for Fair Policy Selection. UAI 2017 - 2016
- [c5]Zhaohan Daniel Guo, Shayan Doroudi, Emma Brunskill:
A PAC RL Algorithm for Episodic POMDPs. AISTATS 2016: 510-518 - [c4]Shayan Doroudi, Ece Kamar, Emma Brunskill, Eric Horvitz:
Toward a Learning Science for Complex Crowdsourcing Tasks. CHI 2016: 2623-2634 - [c3]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 - [c2]Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill:
Sequence Matters, But How Exactly? A Method for Evaluating Activity Sequences from Data. EDM 2016: 70-77 - [i1]Zhaohan Daniel Guo, Shayan Doroudi, Emma Brunskill:
A PAC RL Algorithm for Episodic POMDPs. CoRR abs/1605.08062 (2016) - 2015
- [c1]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: 376-379
Coauthor Index
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last updated on 2023-03-12 03:03 CET by the dblp team
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