ChatGPT-based flipped learning guiding approach (ChatGPT-FLGA)¶
Design · All designs
Evidence · 1 claim (1 for) · 1 study (1 causal),q3· 0 of 1 report an effect size · 1 claim rests on one study
Description¶
ChatGPT-FLGA is a flipped learning guiding approach the author developed "based on Chat Generative Pre-trained Transformer (ChatGPT) and the learning scaffolding theory", created "according to the analysis, design, development, implementation and evaluation model". It supplies instant personalised guidance to students during flipped learning, where the teacher alone could not guide all students at once. In the study it was used alongside flipped classroom instruction and Tencent QQ discussions in a courseware project.
Design Implications¶
Context¶
Requirements¶
- Requires ChatGPT as the guiding tool and flipped classroom instruction as the instructional setting in which guidance is provided
Constraints¶
- Evaluated in the learning activities of a courseware project with two classes, one of which used the approach
Target Learners¶
- University students in a courseware project course
Learning Goals¶
- Courseware project performance
- Self-efficacy
- Learning attitudes
- Intrinsic motivation
- Creative thinking
Claims¶
Related Designs¶
Examples¶
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Key Sources¶
- 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
Page metadata
| Field | Value |
|---|---|
type |
design |
id |
chatgpt-flga-approach |
title |
ChatGPT-based flipped learning guiding approach (ChatGPT-FLGA) |
description |
ChatGPT-FLGA is a flipped learning guiding approach the author developed "based on Chat Generative Pre-trained Transformer (ChatGPT) and the learning scaffolding theory", created "according to the analysis, design, de... |
status |
review |
generated |
by process:settle-candidates on 2026-10-15 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — li-2023 |
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