Guojing Zhou

Ju, S., Zhou, G., Abdelshiheed, M., Barnes, T., & Chi, M. (2021). Evaluating Critical Reinforcement Learning Framework in the Field. https://doi.org/10.1007/978-3-030-78292-4_18

Zhou, G., Azizsoltani, H., Ausin, M. S., Barnes, T., & Chi, M. (2021, August 16). Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction. INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, Vol. 8. https://doi.org/10.1007/s40593-021-00269-9

Zhou, G., Azizsoltani, H., Ausin, M. S., Barnes, T., & Chi, M. (2019). Hierarchical Reinforcement Learning for Pedagogical Policy Induction. ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2019), PT I, Vol. 11625, pp. 544–556. https://doi.org/10.1007/978-3-030-23204-7_45

Mostafavi, B., Zhou, G. J., Lynch, C., Chi, M., & Barnes, T. (2015). Data-driven worked examples improve retention and completion in a logic tutor. Artificial intelligence in education, aied 2015, 9112, 726–729.