A reinforcement learning agent for timing GenAI access improved post-test performance and metacognitive accuracy over unrestricted or fully restricted conditions in a lab study with 105 students.
A generative AI-based per- sonalized guidance tool for enhancing the feedback to MOOC learners
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Student-AI prompting trajectories in programming assignments range from direct copying to iterative refinement and serve as windows into self-regulation and learning orientation.
Knowledge markers are an AI-agnostic labeling system (A/S/P) that makes the intended learning emphasis explicit in programming course materials and structures.
GenAI produced larger self-efficacy gains but noticeably lower learning outcomes than live tutoring, with visualizations underused and GenAI facing barriers on advanced topics.
Replication survey in three Middle Eastern countries finds language fluency predicts AI trust, with female students in Saudi Arabia showing lower trust than males unlike US patterns.
citing papers explorer
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Access Timing as Scaffolding: A Reinforcement Learning Approach to GenAI in Education
A reinforcement learning agent for timing GenAI access improved post-test performance and metacognitive accuracy over unrestricted or fully restricted conditions in a lab study with 105 students.
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Tracing Prompt-Level Trajectories to Understand Student Learning with AI in Programming Education
Student-AI prompting trajectories in programming assignments range from direct copying to iterative refinement and serve as windows into self-regulation and learning orientation.
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Knowledge Markers: An AI-Agnostic Concept for the Design of Programming Courses
Knowledge markers are an AI-agnostic labeling system (A/S/P) that makes the intended learning emphasis explicit in programming course materials and structures.
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Characterization and Effects of CS2 Learning with GenAI, Visualization, and Human Support
GenAI produced larger self-efficacy gains but noticeably lower learning outcomes than live tutoring, with visualizations underused and GenAI facing barriers on advanced topics.
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Trust in AI among Middle Eastern CS Students: Investigating Students' Trust and Usage Patterns Across Saudi Arabia, Kuwait and Jordan
Replication survey in three Middle Eastern countries finds language fluency predicts AI trust, with female students in Saudi Arabia showing lower trust than males unlike US patterns.