Claims

Voluntary StatBot use was highly uneven and deadline-driven, with about 27% of students never using the chatbot

Claim · All claims
Evidence · 1 study (2 entries) · associational r1–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? Chatbot engagement was long-tailed and zero-inflated: mean use was 29.20 interactions (SD = 52.14) and about 27% of students never used StatBot. → Yuan-Hsuan Lee and Jiun-Yu Wu 2026 q2 i? Weekly usage tracked assignment deadlines, peaking mid-semester in three distinct phases. → Yuan-Hsuan Lee and Jiun-Yu Wu 2026 (2)

Evidence

Yuan-Hsuan Lee and Jiun-Yu Wu 2026

Yuan-Hsuan Lee and Jiun-Yu Wu. (2026). Differential engagement with generative artificial intelligence in higher education: Gender, motivation, and achievement trajectories. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00615-8

q2 · i? · associational · r1

Descriptive analysis of 2,819 logged StatBot interactions from 97 graduate students over 16 weeks showed a long-tailed, over-dispersed, zero-inflated usage pattern, with individual interaction counts ranging from 0 to 401 and roughly 27% of students never using the tool.

"On average, students engaged with the StatBot 29.20 times ( SD = 52.14), indicating substantial variability and a highly skewed distribution ( skewness = 4.31; kurtosis = 25.15). About 27% of students did not use StatBot at all and a few used it over 100 times."

Yuan-Hsuan Lee and Jiun-Yu Wu 2026 (2)

Yuan-Hsuan Lee and Jiun-Yu Wu. (2026). Differential engagement with generative artificial intelligence in higher education: Gender, motivation, and achievement trajectories. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00615-8

q2 · i? · associational · r2

Weekly usage counts across the 16-week semester (range 10–365, mean 192.81, SD = 137.14) showed three phases: steady early adoption, a sharp mid-semester peak around assignment deadlines, and a drop to a lower stable level during final project and exam preparation.

"The overall trend shows a strong association between StatBot usage and assignment deadlines, peaking dramatically mid-semester before stabilizing at a lower level for final project and exam preparation."

Discussion

Page metadata
Field Value
type claim
id uneven-zero-inflated-statbot-usage-patterns
title Voluntary StatBot use was highly uneven and deadline-driven, with about 27% of students never using the chatbot
description Voluntary StatBot use was highly uneven and deadline-driven, with about 27% of students never using the chatbot
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 2 — yuan-hsuan-lee-and-jiun-yu-wu-2026, yuan-hsuan-lee-and-jiun-yu-wu-2026-2

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