Mark Abdelshiheed

About Mark Abdelshiheed

Mark Abdelshiheed, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at North Carolina State University, specializes in the field of Reinforcement Learning, AI in Education, Metacognition, Cognitive Psychology, Educational Technology.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

XAI to increase the effectiveness of an Intelligent Pedagogical Agent

Investigating the impact of backward strategy learning in a logic tutor: Aiding subgoal learning towards improved problem solving

Leveraging Deep Reinforcement Learning for Metacognitive Interventions across Intelligent Tutoring Systems

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

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

Combining Reinforcement Learning and Three Learning Theories to Achieve Transfer and Bridge Metacognitive Knowledge Gap.

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

Mark Abdelshiheed Information

University

Position

___

Citations(all)

118

Citations(since 2020)

118

Cited By

0

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Mark Abdelshiheed Skills & Research Interests

Reinforcement Learning

AI in Education

Metacognition

Cognitive Psychology

Educational Technology

Top articles of Mark Abdelshiheed

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

International Journal of Artificial Intelligence in Education

2023/9/27

XAI to increase the effectiveness of an Intelligent Pedagogical Agent

2023/9

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

2023/8/21

Leveraging Deep Reinforcement Learning for Metacognitive Interventions across Intelligent Tutoring Systems

2023/7

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

2023/7

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

2023/6/30

Combining Reinforcement Learning and Three Learning Theories to Achieve Transfer and Bridge Metacognitive Knowledge Gap.

2023/6/26

Mark Abdelshiheed
Mark Abdelshiheed

H-Index: 0

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

2023/5

Leveraging fuzzy logic towards more explainable reinforcement learning-induced pedagogical policies on intelligent tutoring systems

2023/8/13

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

2022/7

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

2022/6

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

2022/2/2

Preparing Unprepared Students For Future Learning

2021/8

Evaluating critical reinforcement learning framework in the field

2021/6/11

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

2020/8

See List of Professors in Mark Abdelshiheed University(North Carolina State University)

Co-Authors

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