#learning-analytics News & Analysis

4 articles tagged with #learning-analytics. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

4 articles

AINeutralarXiv – CS AI · Jun 105/10

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Detecting Knowledge Gaps from Conversational AI Interactions Using Curriculum Prerequisite Graphs

Researchers developed a pipeline using GPT-4 and few-shot learning to map student questions from conversational AI teaching assistants to curriculum topics, achieving 80% classification accuracy. The classified question data correlates with student-reported difficulty levels, demonstrating that AI interaction logs can serve as diagnostic tools for identifying knowledge gaps and informing instructional design.

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AINeutralarXiv – CS AI · Jun 26/10

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Tracing GenAI Literacy: Uncovering Student-AI Interaction Patterns in Academic Writing through Epistemic Network Analysis

Researchers used learning analytics and epistemic network analysis to study how 162 university students interact with generative AI during academic writing tasks, revealing that high-literacy students employ iterative refinement and strategic questioning while low-literacy students rely on direct generation commands. This data-driven approach offers a new framework for assessing GenAI literacy beyond traditional self-reported scales.

AINeutralarXiv – CS AI · May 295/10

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Surfacing Isolated Learners with Outcome-Independent Mediation of Feedback between Teachers and Students Using AI

Researchers developed an AI-powered decision layer that identifies struggling students and prioritized course topics without relying on grades, combining student self-reports, observed learning difficulties, and teacher concerns. Testing in a graduate CS course showed the multi-signal approach achieved 96% accuracy in surfacing at-risk learners and aligned with instructor priorities, demonstrating transparent human-AI collaboration in educational settings.

AINeutralarXiv – CS AI · Apr 136/10

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Structuring versus Problematizing: How LLM-based Agents Scaffold Learning in Diagnostic Reasoning

Researchers developed PharmaSim Switch, an AI-powered educational platform that uses large language models to scaffold diagnostic reasoning in pharmacy technician training through two distinct pedagogical approaches: structuring and problematizing. A 63-student experiment found both methods effective, with structuring promoting more accurate participation and problematizing encouraging deeper constructive engagement, suggesting hybrid scaffolding strategies optimize learning outcomes.