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Shayan Doroudi
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2020 – today
- 2024
- [j5]Shayan Doroudi
:
On the paradigms of learning analytics: Machine learning meets epistemology. Comput. Educ. Artif. Intell. 6: 100192 (2024) - [c24]Sina Rismanchian, Shayan Doroudi, Yasaman Razeghi:
Turtle-like Geometry Learning: How Humans and Machines Differ in Learning Turtle Geometry. AAAI Spring Symposia 2024: 586-587 - [c23]Zhenyao Cai
Advancing Knowledge Together: Integrating Large Language Model-based Conversational AI in Small Group Collaborative Learning. CHI Extended Abstracts 2024: 37:1-37:9 - [i6]Sina Rismanchian, Shayan Doroudi:
Reconciling Different Theories of Learning with an Agent-based Model of Procedural Learning. CoRR abs/2408.13364 (2024) - [i5]Sina Rismanchian, Yasaman Razeghi, Sameer Singh, Shayan Doroudi:
TurtleBench: A Visual Programming Benchmark in Turtle Geometry. CoRR abs/2411.00264 (2024) - 2023
- [j4]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): 843-884 (2023) - [j3]Shayan Doroudi
The Intertwined Histories of Artificial Intelligence and Education. Int. J. Artif. Intell. Educ. 33(4): 885-928 (2023) - [j2]Shayan Doroudi
The Bias-Variance Tradeoff in Cognitive Science. Cogn. Sci. 47(1) (2023) - [c22]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: 1-12 - [c21]Sina Rismanchian, Shayan Doroudi:
A Computational Model for the ICAP Framework: Exploring Agent-Based Modeling as an AIED Methodology. AIED 2023: 792-797 - [c20]Shayan Doroudi
The Relevance of Ivan Illich's Learning Webs 50 Years On. L@S 2023: 99-109 - [c19]David Van Nguyen
Effects of Scaling Up Apprentice-Style Research: Perceptions from Mentors and Mentees. L@S 2023: 341-345 - [i4]David Van Nguyen
Algorithm-Generated Versus Human-Generated Academic Plans: Determining Optimality from Community College Articulation Agreements. CoRR abs/2307.04500 (2023) - [i3]David Van Nguyen
Community College Articulation Agreement Websites: Students' Suggestions for New Academic Advising Software Features. CoRR abs/2308.14411 (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
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
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
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
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
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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