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2020 – today
- 2023
[i1]Mark Abdelshiheed, Guojing Zhou, Mehak Maniktala, Tiffany Barnes, Min Chi:
Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning. CoRR abs/2303.13541 (2023)- 2022
- [j4]Guojing Zhou
, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi:
Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction. Int. J. Artif. Intell. Educ. 32(2): 454-500 (2022) - [j3]Chen Sun, Valerie J. Shute, Angela E. B. Stewart, Quinton Beck-White, Caroline Reinhardt, Guojing Zhou, Nicholas D. Duran, Sidney K. D'Mello:
The relationship between collaborative problem solving behaviors and solution outcomes in a game-based learning environment. Comput. Hum. Behav. 128: 107120 (2022) - [c16]Megan Caruso, Candace E. Peacock, Rosy Southwell, Guojing Zhou, Sidney D'Mello:
Going Deep and Far: Gaze-based Models Predict Multiple Depths of Comprehension During and One Week Following Reading. EDM 2022 - [c15]Guojing Zhou, Robert Moulder, Chen Sun, Sidney D'Mello:
Investigating Temporal Dynamics Underlying Successful Collaborative Problem Solving Behaviors with Multilevel Vector Autoregression. EDM 2022 - [c14]Guojing Zhou, Tetsumichi Umada, Sidney D'Mello:
What do Students' Interactions with Online Lecture Videos Reveal about their Learning? UMAP 2022: 295-305 - 2021
- [c13]Song Ju, Guojing Zhou, Mark Abdelshiheed, Tiffany Barnes, Min Chi:
Evaluating Critical Reinforcement Learning Framework in the Field. AIED (1) 2021: 215-227 - 2020
- [c12]Song Ju, Min Chi, Guojing Zhou:
Pick the Moment: Identifying Critical Pedagogical Decisions Using Long-Short Term Rewards. EDM 2020 - [c11]Xi Yang, Guojing Zhou, Michelle Taub, Roger Azevedo, Min Chi:
Student Subtyping via EM-Inverse Reinforcement Learning. EDM 2020 - [c10]Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi:
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract). IJCAI 2020: 4691-4695 - [c9]Guojing Zhou, Xi Yang, Hamoon Azizsoltani, Tiffany Barnes, Min Chi:
Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies. UMAP 2020: 284-292
2010 – 2019
- 2019
- [c8]Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi:
Hierarchical Reinforcement Learning for Pedagogical Policy Induction. AIED (1) 2019: 544-556 - [c7]Guojing Zhou, Xi Yang, Min Chi:
Big, Little, or Both? Exploring the Impact of Granularity on Learning for Students with Different Incoming Competence. CogSci 2019: 3206-3212 - [c6]Song Ju, Guojing Zhou, Hamoon Azizsoltani, Tiffany Barnes, Min Chi:
Identifying Critical Pedagogical Decisions through Adversarial Deep Reinforcement Learning. EDM 2019 - 2017
- [c5]Guojing Zhou, Min Chi:
The Impact of Decision Agency & Granularity on Aptitude Treatment Interaction in Tutoring. CogSci 2017 - [c4]Guojing Zhou, Jianxun Wang, Collin F. Lynch, Min Chi:
Towards Closing the Loop: Bridging Machine-induced Pedagogical Policies to Learning Theories. EDM 2017 - 2016
- [c3]Guojing Zhou, Collin F. Lynch, Thomas W. Price, Tiffany Barnes, Min Chi:
The Impact of Granularity on the Effectiveness of Students' Pedagogical Decisions. CogSci 2016 - 2015
- [j2]Wei Ji, Yun Li, Kejia Chen, Guojing Zhou:
Local energy-based framework for feature ranking. J. Intell. Fuzzy Syst. 28(4): 1565-1575 (2015) - [j1]Yun Li, Jennie Si, Guojing Zhou, Shasha Huang, Songcan Chen:
FREL: A Stable Feature Selection Algorithm. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1388-1402 (2015) - [c2]Behrooz Mostafavi, Guojing Zhou, Collin F. Lynch, Min Chi, Tiffany Barnes:
Data-Driven Worked Examples Improve Retention and Completion in a Logic Tutor. AIED 2015: 726-729 - [c1]Guojing Zhou, Thomas W. Price, Collin F. Lynch, Tiffany Barnes, Min Chi:
The Impact of Granularity on Worked Examples and Problem Solving. CogSci 2015
Coauthor Index
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