Student-AI interaction patterns are tracked across the wiki: learner-ai-interaction-patterns-oop, genai-tutor-engagement-patterns, students-llm-usage-critical-thinking, and trust-reliance-ai-education-2026 show that how students query, verify, and rely on AI determines learning outcomes (over-reliance, ai-literacy).
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📎 7 other pages tagged student-ai-interaction
- Constructing Epistemic AI Literacy: Detecting Epistemic Aims and Processes in Student-AI Co-Programming
- Measuring Cognitive Engagement in Collaborative Discourse with an Extended ICAP Framework: Comparing Human Annotation, In-Context Learning, and Reflective LLM Agents
- Mind the Trust Gap: Identifying (Mis)alignments in Teacher-Student Views Toward Control and Agency in K-12 Classroom AI
- Sycophantic AI makes human interaction feel more effortful and less satisfying over time
- Teacher-Authored Prompts for Configuring Student-AI Dialogue: K-12 Classroom Implementation
- To Facilitate or not to Facilitate: Human and LLM Facilitator Tendencies in Online Discussions
- Trust and Reliance on AI in Education: AI Literacy and Need for Cognition as Moderators