#learning-systems News & Analysis

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

3 articles

AINeutralarXiv – CS AI · Jun 56/10

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Where's the Structure? A Systematic Literature Review of Empirical Research on Human-AI Collaboration and Hybrid Intelligence for Learning

A systematic literature review of 62 empirical studies examines human-AI collaboration in educational settings, finding that unstructured interaction between humans and AI produces suboptimal learning outcomes. The research identifies key design principles and structural frameworks that educational technologists can apply to create more effective AI-enhanced learning systems.

AINeutralarXiv – CS AI · May 16/10

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Designing Ethical Learning for Agentic AI: Toegye Yi Hwang's Ethical Emotion Regulation Framework

Researchers propose an Ethical Emotion Feedback System (EEFS) for agentic AI systems, drawing from Toegyeyi Hwang's moral-emotional philosophy to regulate autonomous decision-making in learning environments. The framework introduces a five-stage architecture with design principles and evaluation instruments to ensure moral-emotional alignment in AI systems capable of autonomous goal-setting.

AINeutralarXiv – CS AI · Apr 156/10

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A Scoping Review of Large Language Model-Based Pedagogical Agents

A comprehensive scoping review of 52 studies examines Large Language Model-based pedagogical agents across educational contexts from November 2022 to January 2025. The research identifies four key design dimensions (interaction approach, domain scope, role complexity, system integration) and emerging trends including multi-agent systems, virtual student simulation, and integration with immersive technologies, while flagging critical research gaps around privacy, accuracy, and student autonomy.