Learning with a ChatGPT-based flipped learning guiding approach significantly improves students’ performance, self-efficacy, learning attitudes, intrinsic motivation and creative thinking in a courseware project¶
Claim · All claims
Evidence · 1 study · causalr2·q3
Currency · newest study 2023 · checked against its sources 2026-10-16 (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.
q3 i? Students in the experimental group learning with ChatGPT-FLGA showed significantly improved performance, self-efficacy, learning attitudes, intrinsic motivation and creative thinking compared with the control group. → Li 2023
Evidence¶
Li 2023¶
Li, H. (2023). Effects of a ChatGPT-based flipped learning guiding approach on learners’ courseware project performances and perceptions. Australasian Journal of Educational Technology, 39(5), 40–58. https://doi.org/10.14742/ajet.8923
q3 · i? · causal · r2
A quasi-experiment in a courseware project compared two classes: one randomly assigned to the experimental group using ChatGPT-FLGA, the other a control group; both received flipped classroom instruction and discussed via Tencent QQ. The article reports the approach "significantly improved students’ performance, self-efficacy, learning attitudes, intrinsic motivation and creative thinking"; no effect sizes are printed in the supplied text.
"The results revealed that the ChatGPT-FLGA significantly improved students’ performance, self-efficacy, learning attitudes, intrinsic motivation and creative thinking."
Discussion¶
Learner Variables¶
- Motivation — outcome: instruction changes it
- Creativity — outcome: instruction changes it
Related Claims¶
- Providing all students with instant personalised guidance at the same time is a challenge for flipped learning that ChatGPT-FLGA was designed to address — related
- Teaching a ChatGPT agent improves students' self-regulated learning, specifically self-efficacy and use of cognitive strategies — related
- Self-determination theory holds that autonomy support raises intrinsic motivation, and a meta-analysis finds expected tangible rewards undermine it — a broader claim this one bears on
- Relative to traditional PBL, the AI-IVE-PBL model improves vocational students' design ability and creative ability — related
- Project-based and experiential learning approaches are reported as most effective for AI literacy education, and early exposure enhances learners' self-efficacy — related
- Creative Inquiry course produced a significant increase in participants' creative self-efficacy — related
- AI-supported inquiry-based learning significantly improved secondary students' creative mathematical performance compared with traditional instruction — related
- GCLA use enhances higher-order thinking skills—critical thinking, problem-solving, and creativity—compared with traditional ChatGPT use — related
- GCLA does not bolster motivational aspects of SRL: traditional ChatGPT users showed higher intrinsic motivation and higher amotivation than GCLA users — reports the opposite
- Individual factors supportive of adolescent creativity include openness to experience, intrinsic motivation, creative self-efficacy, and external attributions for adversity — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
chatgpt-flga-improves-performance-and-perceptions |
title |
Learning with a ChatGPT-based flipped learning guiding approach significantly improves students’ performance, self-efficacy, learning attitudes, intrinsic motivation and creative thinking in a courseware project |
description |
Learning with a ChatGPT-based flipped learning guiding approach significantly improves students’ performance, self-efficacy, learning attitudes, intrinsic motivation and creative thinking in a courseware project |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2023 |
source_checked |
2026-10-16 |
generated |
by process:wiki-ingest on 2026-10-15 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — li-2023 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.