Integrated analytical framework combining the technology-based learning framework with Pedaste et al.'s five-phase inquiry cycle¶
Research Method · All research methods
Evidence · 1 claim (1 for) · 1 study (1 review),q3· 0 of 1 report an effect size · 1 claim rests on one study
Description¶
The review adapts the technology-based learning framework (originated by Hsu et al., 2012, with six analytical dimensions: learning devices, learning domains, learning strategies, research methods, participants, and research issues) and integrates Pedaste et al.'s (2015) five-phase inquiry framework into it. This dual-level lens bridges macro-level analysis of technology-supported learning with micro-level inquiry processes, mapping ChatGPT as the primary learning device aligned with IBL as the central learning strategy. RQ1 is answered via the framework's learning domains, participants, and methods dimensions; RQ2 via ChatGPT's positioning across the five inquiry phases; and RQ3 via synthesis of outcomes and issues across learners, educators, and institutions.
Accounts¶
- Integrated analytical framework combining the technology-based learning framework with Pedaste et al.'s five-phase inquiry cycle: The review adapts the technology-based learning framework (originated by Hsu et al., 2012, with six analytical dimensions: learning devices, learning domains, learning strategies, research methods, participants, and research issues) and integrates Pedaste et al.'s (2015) five-phase inquiry framework into it. This dual-level lens bridges macro-level analysis of technology-supported learning with micro-level inquiry processes, mapping ChatGPT as the primary learning device aligned with IBL as the central learning strategy. RQ1 is answered via the framework's learning domains, participants, and methods dimensions; RQ2 via ChatGPT's positioning across the five inquiry phases; and RQ3 via synthesis of outcomes and issues across learners, educators, and institutions. (Haozhe Jiang et al. (2026))
Claims¶
Related Research Methods¶
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Key Sources¶
- Haozhe Jiang, Yixin Li, Ritesh Chugh, Yueyou Xin and Hongyu Cheng. (2026). The AI-powered co-inquirer: a systematic review of ChatGPT for inquiry-based learning in STEAM education. International Journal of STEM Education. https://doi.org/10.1186/s40594-026-00628-9
Page metadata
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|---|---|
type |
research-method |
id |
integrated-analytical-framework-combining-the-technology-based-learning-framework-with-ped |
title |
Integrated analytical framework combining the technology-based learning framework with Pedaste et al.'s five-phase inquiry cycle |
description |
The review adapts the technology-based learning framework (originated by Hsu et al., 2012, with six analytical dimensions: learning devices, learning domains, learning strategies, research methods, participants, and research issues) and integrates Pedaste et al.'s (2015) five-phase inquiry framework |
status |
review |
generated |
by process:settle-candidates on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
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