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Three Paths of Student-AI Interaction typology

Research Method · All research methods
Evidence · 2 claims (2 for) · 1 study (1 qualitative), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

A typological framework identifying three qualitatively distinct modes of student-AI engagement: Passive Review (student accepts AI output with minimal scrutiny, unidirectional, limited higher-order opportunity), Direct Question (transactional gap-filling with surface evaluation, moderate opportunity), and Strategic Dialogue (dialogic, recursive, critical, metacognitive engagement with AI as a thinking partner, substantial opportunity). The article states "The typology distinguishes three paths—Passive Review, Direct Question, and Strategic Dialogue" and links them to degrees of cognitive and epistemic agency, mapping onto a developmental trajectory of AI literacy from treating AI as authoritative to maintaining epistemic agency. Its core claim is that learning outcomes depend on which path students are on, not whether they use AI.

Accounts

  • Three Paths of Student-AI Interaction typology: A typological framework identifying three qualitatively distinct modes of student-AI engagement: Passive Review (student accepts AI output with minimal scrutiny, unidirectional, limited higher-order opportunity), Direct Question (transactional gap-filling with surface evaluation, moderate opportunity), and Strategic Dialogue (dialogic, recursive, critical, metacognitive engagement with AI as a thinking partner, substantial opportunity). The article states "The typology distinguishes three paths—Passive Review, Direct Question, and Strategic Dialogue" and links them to degrees of cognitive and epistemic agency, mapping onto a developmental trajectory of AI literacy from treating AI as authoritative to maintaining epistemic agency. Its core claim is that learning outcomes depend on which path students are on, not whether they use AI. (Zahra (2025))

Claims

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Key Sources

  • Zahra, F. T. (2025). Three Pathways of Student-AI Interaction: Constraint-First Design for Higher-Order Thinking. Manuscript under blind review; framework first presented at EAAI-25, Philadelphia, PA. doi:10.48550/arxiv.2610.00338
Page metadata
Field Value
type research-method
id three-paths-of-student-ai-interaction-typology
title Three Paths of Student-AI Interaction typology
description A typological framework identifying three qualitatively distinct modes of student-AI engagement: Passive Review (student accepts AI output with minimal scrutiny, unidirectional, limited higher-order opportunity), Direct Question (transactional gap-filling with surface evaluation, moderate opportunit
status review
generated by process:settle-candidates on 2026-10-12
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