Guojing Zhou

According to our database, Guojing Zhou authored at least 21 papers between 2015 and 2023.

Collaborative distances:

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

2023

Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning.

Mark Abdelshiheed, Guojing Zhou, Mehak Maniktala, Tiffany Barnes, Min Chi

CoRR, 2023

2022

The relationship between collaborative problem solving behaviors and solution outcomes in a game-based learning environment.

Chen Sun, Valerie J. Shute, Angela E. B. Stewart, Quinton Beck-White, Caroline Reinhardt, Guojing Zhou, Nicholas D. Duran, Sidney K. D'Mello

Comput. Hum. Behav., 2022

Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction.

Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi

Int. J. Artif. Intell. Educ., 2022

What do Students' Interactions with Online Lecture Videos Reveal about their Learning?

Guojing Zhou, Tetsumichi Umada, Sidney D'Mello

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Investigating Temporal Dynamics Underlying Successful Collaborative Problem Solving Behaviors with Multilevel Vector Autoregression.

Guojing Zhou, Robert Moulder, Chen Sun, Sidney D'Mello

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Going Deep and Far: Gaze-based Models Predict Multiple Depths of Comprehension During and One Week Following Reading.

Megan Caruso, Candace E. Peacock, Rosy Southwell, Guojing Zhou, Sidney D'Mello

Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021

Evaluating Critical Reinforcement Learning Framework in the Field.

Song Ju, Guojing Zhou, Mark Abdelshiheed, Tiffany Barnes, Min Chi

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies.

Guojing Zhou, Xi Yang, Hamoon Azizsoltani, Tiffany Barnes, Min Chi

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract).

Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Student Subtyping via EM-Inverse Reinforcement Learning.

Xi Yang, Guojing Zhou, Michelle Taub, Roger Azevedo, Min Chi

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

Pick the Moment: Identifying Critical Pedagogical Decisions Using Long-Short Term Rewards.

Song Ju, Min Chi, Guojing Zhou

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

2019

Identifying Critical Pedagogical Decisions through Adversarial Deep Reinforcement Learning.

Song Ju, Guojing Zhou, Hamoon Azizsoltani, Tiffany Barnes, Min Chi

Proceedings of the 12th International Conference on Educational Data Mining, 2019

Big, Little, or Both? Exploring the Impact of Granularity on Learning for Students with Different Incoming Competence.

Guojing Zhou, Xi Yang, Min Chi

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Hierarchical Reinforcement Learning for Pedagogical Policy Induction.

Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2017

Towards Closing the Loop: Bridging Machine-induced Pedagogical Policies to Learning Theories.

Guojing Zhou, Jianxun Wang, Collin F. Lynch, Min Chi

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

The Impact of Decision Agency & Granularity on Aptitude Treatment Interaction in Tutoring.

Guojing Zhou, Min Chi

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

The Impact of Granularity on the Effectiveness of Students' Pedagogical Decisions.

Guojing Zhou, Collin F. Lynch, Thomas W. Price, Tiffany Barnes, Min Chi

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

FREL: A Stable Feature Selection Algorithm.

Yun Li, Jennie Si, Guojing Zhou, Shasha Huang, Songcan Chen

IEEE Trans. Neural Networks Learn. Syst., 2015

Local energy-based framework for feature ranking.

Wei Ji, Yun Li, Kejia Chen, Guojing Zhou

J. Intell. Fuzzy Syst., 2015

The Impact of Granularity on Worked Examples and Problem Solving.

Guojing Zhou, Thomas W. Price, Collin F. Lynch, Tiffany Barnes, Min Chi

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Data-Driven Worked Examples Improve Retention and Completion in a Logic Tutor.

Behrooz Mostafavi, Guojing Zhou, Collin F. Lynch, Min Chi, Tiffany Barnes

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015