Mark Abdelshiheed

Hostetter, J. W., Abdelshiheed, M., Barnes, T., & Chi, M. (2023). A Self-Organizing Neuro-Fuzzy Q-Network: Systematic Design with Offline Hybrid Learning. Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems, 1248–1257. Retrieved from https://www.southampton.ac.uk/~eg/AAMAS2023/pdfs/p1248.pdf

Ausin, M. S., Abdelshiheed, M., Barnes, T., & Chi, M. (2023). A Unified Batch Hierarchical Reinforcement Learning Framework for Pedagogical Policy Induction with Deep Bisimulation Metrics. https://doi.org/10.1007/978-3-031-36336-8_93

Abdelshiheed, M., Hostetter, J. W., Barnes, T., & Chi, M. (2023). Bridging Declarative, Procedural, and Conditional Metacognitive Knowledge Gap Using Deep Reinforcement Learning. Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci’23), 333–340. https://doi.org/10.48550/arXiv.2304.11739

Abdelshiheed, M., Barnes, T., & Chi, M. (2023). How and When: The Impact of Metacognitive Knowledge Instruction and Motivation on Transfer Across Intelligent Tutoring Systems. International Journal of Artificial Intelligence in Education, 9. https://doi.org/10.1007/s40593-023-00371-0

Shabrina, P., Mostafavi, B., Abdelshiheed, M., Chi, M., & Barnes, T. (2023). Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning Towards Improved Problem Solving. International Journal of Artificial Intelligence in Education, 8. https://doi.org/10.1007/s40593-023-00338-1

Abdelshiheed, M., Hostetter, J. W., Barnes, T., & Chi, M. (2023). Leveraging Deep Reinforcement Learning for Metacognitive Interventions Across Intelligent Tutoring Systems. https://doi.org/10.1007/978-3-031-36272-9_24

Hostetter, J. W., Abdelshiheed, M., Barnes, T., & Chi, M. (2023). Leveraging Fuzzy Logic Towards More Explainable Reinforcement Learning-Induced Pedagogical Policies on Intelligent Tutoring Systems. Presented at the 2023 IEEE International Conference on Fuzzy Systems (FUZZ). https://doi.org/10.1109/FUZZ52849.2023.10309741

Hostetter, J. W., Conati, C., Yang, X., Abdelshiheed, M., Barnes, T., & Chi, M. (2023). XAI to Increase the Effectiveness of an Intelligent Pedagogical Agent. Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents. (IVA’23). Presented at the 23rd ACM International Conference on Intelligent Virtual Agents. (IVA’23), Würzburg, Germany. https://doi.org/10.1145/3570945.3607301

Abdelshiheed, M., Maniktala, M., Barnes, T., & Chi, M. (2022). Assessing Competency Using Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning. In A. J. Hampton, A. Sinatra, A. C. Graesser, B. Goldberg, J. H. Johnston, & X. Hu (Eds.), Design Recommendations for Intelligent Tutoring Systems: Volume 9 Competency-Based Scenario Design (pp. 121–131). Orlando, FL: US Army Combat Capabilities Development Command - Soldier Center.

Abdelshiheed, M., Hostetter, J. W., Yang, X., Barnes, T., & Chi, M. (2022). Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer. https://doi.org/10.1007/978-3-031-11644-5_47

Abdelshiheed, M., Hostetter, J. W., Shabrina, P., Barnes, T., & Chi, M. (2022). The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems. Proceedings of the 44th Annual Meeting of the Cognitive Science Society. (CogSci’22), 541–548. https://doi.org/10.48550/arXiv.2303.11965

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

Abdelshiheed, M., Maniktala, M., Ju, S., Jain, A., Barnes, T., & Chi, M. (2021). Preparing Unprepared Students for Future Learning. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society. (CogSci’21), 2547–2553.

Abdelshiheed, M., Zhou, G., Maniktala, M., Barnes, T., & Chi, M. (2020). Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning. Proceedings of the 42nd Annual Meeting of the Cognitive Science Society. (CogSci’20), 945–951. https://doi.org/10.48550/arXiv.2303.13541