Mark Abdelshiheed

According to our database, Mark Abdelshiheed authored at least 18 papers between 2020 and 2024.

Collaborative distances:

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

2024

Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners.

Mark Abdelshiheed, Robert Moulder, John Wesley Hostetter, Tiffany Barnes, Min Chi

User Model. User Adapt. Interact., November, 2024

Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning Towards Improved Problem Solving.

Preya Shabrina, Behrooz Mostafavi, Mark Abdelshiheed, Min Chi, Tiffany Barnes

Int. J. Artif. Intell. Educ., September, 2024

How and When: The Impact of Metacognitive Knowledge Instruction and Motivation on Transfer Across Intelligent Tutoring Systems.

Mark Abdelshiheed, Tiffany Barnes, Min Chi

Int. J. Artif. Intell. Educ., September, 2024

Not a Team but Learning as One: The Impact of Consistent Attendance on Discourse Diversification in Math Group Modeling.

Mark Abdelshiheed, Jennifer Jacobs, Sidney D'Mello

Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024

Aligning Tutor Discourse Supporting Rigorous Thinking with Tutee Content Mastery for Predicting Math Achievement.

Mark Abdelshiheed, Jennifer Jacobs, Sidney K. D'Mello

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

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

Mark Abdelshiheed, Mehak Maniktala, Tiffany Barnes, Min Chi

CoRR, 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

XAI to Increase the Effectiveness of an Intelligent Pedagogical Agent.

John Wesley Hostetter, Cristina Conati, Xi Yang, Mark Abdelshiheed, Tiffany Barnes, Min Chi

Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, 2023

Leveraging Fuzzy Logic Towards More Explainable Reinforcement Learning-Induced Pedagogical Policies on Intelligent Tutoring Systems.

John Wesley Hostetter, Mark Abdelshiheed, Tiffany Barnes, Min Chi

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Bridging Declarative, Procedural, and Conditional Metacognitive Knowledge Gap Using Deep Reinforcement Learning.

Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

A Self-Organizing Neuro-Fuzzy Q-Network: Systematic Design with Offline Hybrid Learning.

John Wesley Hostetter, Mark Abdelshiheed, Tiffany Barnes, Min Chi

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

A Unified Batch Hierarchical Reinforcement Learning Framework for Pedagogical Policy Induction with Deep Bisimulation Metrics.

Markel Sanz Ausin, Mark Abdelshiheed, Tiffany Barnes, Min Chi

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Leveraging Deep Reinforcement Learning for Metacognitive Interventions Across Intelligent Tutoring Systems.

Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022

The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems.

Mark Abdelshiheed, John Wesley Hostetter, Preya Shabrina, Tiffany Barnes, Min Chi

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer.

Mark Abdelshiheed, John Wesley Hostetter, Xi Yang, Tiffany Barnes, Min Chi

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

Preparing Unprepared Students For Future Learning.

Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 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

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

Mark Abdelshiheed, Min Chi

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020