Student Experience with AI

Student experience with AI — how learners perceive, interact with, and are affected by AI tools in educational settings. With over 85 articles in the wiki, student experience is one of the most-researched dimensions of AI in education.

How student experience is studied

Large-scale surveys: AI in the Wild analyzes authentic interactions of thousands of college students, while availability and satisfaction studies correlate AI access with student outcomes.

Interaction patterns: Tracing GenAI literacy maps how students engage with AI across assignments. Prompting analysis reveals cognitive engagement levels through prompt structure.

Motivation and agency: AI availability and motivation examines whether knowing AI is available changes student effort. AIED's unfinished mission frames agency and motivation as central challenges.

Perceptions and attitudes: GenAI usage surveys and mental model studies investigate how students understand and trust AI.

Equity dimensions: Student Experience intersects with Equity — AI access and effectiveness vary across student populations.

Connections

Student experience connects to Over Reliance (excessive AI dependence), AI Literacy (skills for effective use), Cognitive Offloading (how AI changes cognitive work), and engagement (how AI systems measure and respond to student behavior).