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ChatGPT-integrated feedback aid within a VR learning environment for embedded IoT tasks

Design · All designs
Evidence · 3 claims (3 for) · 1 study (1 causal), q3 · 0 of 1 report an effect size · 3 claims rest on one study

Description

A VR learning environment for embedded IoT tasks in which ChatGPT supplies targeted, real-time feedback to learners, replacing or augmenting traditional VR feedback mechanisms. The environment was "structured into six learning units aligned with Bloom's taxonomy," and the experimental condition paired it with GPT feedback while the control used traditional feedback. The article presents it as a way of integrating generative AI technologies like ChatGPT into VR learning to support deeper engagement and more effective learning outcomes.

Design Implications

Context

Requirements

  • A VR learning environment with learning tasks (here embedded IoT tasks) organized into units aligned with Bloom's taxonomy, into which ChatGPT-generated feedback can be integrated

Constraints

  • The structured scope of learning tasks may not have encouraged open-ended creative exploration, per the authors' account of the limited creativity impact

Target Learners

  • undergraduate students

Learning Goals

  • embedded IoT task knowledge and skills across cognitive levels
  • higher-order thinking skills
  • self-regulated learning

Claims

Examples

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Key Sources

  • Wang, W.-S., Lin, C.-J., Lee, H.-Y., Huang, Y.-M., & Wu, T.-T. (2025). Enhancing self-regulated learning and higher-order thinking skills in virtual reality: the impact of ChatGPT-integrated feedback aids. Education and Information Technologies, 30, 19419–19445. https://doi.org/10.1007/s10639-025-13557-x
Page metadata
Field Value
type design
id chatgpt-integrated-feedback-aid-vr-iot
title ChatGPT-integrated feedback aid within a VR learning environment for embedded IoT tasks
description A VR learning environment for embedded IoT tasks in which ChatGPT supplies targeted, real-time feedback to learners, replacing or augmenting traditional VR feedback mechanisms.
status review
generated by process:settle-candidates on 2026-10-15
trust unverified — no one has confirmed this page's content
sources 1 — wang-2025

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