Claims

Chatbot-guided feedback SRL improved university students' learning motivation more than conventional SRL

Claim · All claims
Evidence · 1 study · causal r2 · q2 · i2 medium
Currency · newest study 2025 · checked against its sources 2026-10-29 (automated, 1 of 1 entry) · 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 i2 After adjusting for pretest motivation, posttest learning motivation differed significantly by learning mode (F = 4.10, p < 0.05, η² = .09). → Yen-Fen Lee 2025

Evidence

Yen-Fen Lee 2025

Yen-Fen Lee, Gwo-Jen Hwang, Pei-Ying Chen. (2025). Technology-based interactive guidance to promote learning performance and self-regulation: a chatbot-assisted self-regulated learning approach. Education Tech Research Dev. https://doi.org/10.1007/s11423-025-10478-x

q2 · i2 · causal · r2

ANCOVA of posttest learning motivation (Wang & Chen questionnaire, Cronbach's alpha 0.79) adjusting for pretest in the two-class quasi-experiment; experimental adjusted mean 4.02 vs control 3.70, "a significant level (F = 4.10, p < 0.05)", η² = .09.

"the variance caused by the group reached a significant level (F = 4.10, p < 0.05), indicating that the scores of the posttest questionnaire on learning motivation differed significantly depending on the learning mode students adopted."

Discussion

Page metadata
Field Value
type claim
id srl-cgf-improves-learning-motivation
title Chatbot-guided feedback SRL improved university students' learning motivation more than conventional SRL
description Chatbot-guided feedback SRL improved university students' learning motivation more than conventional SRL
status review
evidence_strength moderate
newest_evidence 2025
source_checked 2026-10-29
generated by process:wiki-ingest on 2026-10-29
trust unverified — no one has confirmed this page's content
sources 1 — yen-fen-lee-2025

Frontmatter is the page's machine-readable record — see the Schema & Guide.