Claims

Shallow engagement with a GenAI Tutor persists over time, while deep engagers transition flexibly across engagement types

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? First-Order Markov Model transition probabilities show shallow engagement repeats at TP = 0.47 with limited transitions out, while deep engagement repeats at TP = 0.24 and transitions flexibly to routine-learning (TP = 0.43) and exam-driven (TP = 0.21) engagement. → Youjie Chen 2026

Evidence

Youjie Chen 2026

Youjie Chen, Xixi Shi, Xinyu Liu, Shuaiguo Wang, Tracy Xiao Liu, Dragan Gašević. (2026). Not All Students Engage Alike: Multi-Institution Patterns in GenAI Tutor Use. arXiv preprint. https://arxiv.org/abs/2602.00447 doi:10.48550/arxiv.2602.00447

q2 · i? · associational · r2

Process mining with a First-Order Markov Model over ordered session sequences characterized student-level transition patterns. The Shallow Engagement Cycle showed "repeated shallow engagement (TP = 0.47)" with limited exits, whereas the Deep Engagement Cycle transitioned flexibly to routine-learning (TP = 0.43) and exam-driven (TP = 0.21) engagement and rarely to shallow (TP = 0.07).

"This engagement pattern was characterized by repeated shallow engagement (TP = 0.47), with very limited transitions to other engagement types (deep engagement: TP = 0.08; routine-learning engagement: TP = 0.24; exam-driven engagement: TP = 0.13)."

Discussion

Page metadata
Field Value
type claim
id shallow-engagement-persists-deep-flexible
title Shallow engagement with a GenAI Tutor persists over time, while deep engagers transition flexibly across engagement types
description Shallow engagement with a GenAI Tutor persists over time, while deep engagers transition flexibly across engagement types
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — youjie-chen-2026

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