基于ChatGPT自动化反馈对大学生设计参与度与脑电活动的影响

吴鑫; 陈飞

doi:10.19554/j.cnki.1001-3563.2025.22.032

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包装工程（设计栏目） ›› 2025, Vol. 46 ›› Issue (22) : 352-362. DOI: 10.19554/j.cnki.1001-3563.2025.22.032

设计研讨

基于ChatGPT自动化反馈对大学生设计参与度与脑电活动的影响

吴鑫¹, 陈飞^2,*

作者信息 +

Impact of ChatGPT-Driven Automated Feedback on University Students' Engagement and Electroencephalogram Activity in Design

WU Xin¹, CHEN Fei^2,*

Author information +

文章历史 +

摘要

目的探究基于ChatGPT的自动化反馈技术在设计教学中对大学生参与度和脑电活动的影响,重点关注学生在与ChatGPT交互过程中的行为表现、认知策略、情感反应、专注状态。方法采用混合研究法,对4名设计专业学生进行多案例研究。基于ChatGPT的对话生成机制,从多个角度收集了参与数据,包括修订行为、认知策略的应用以及情感反应。结果学生与ChatGPT的交互模式与自身创造力表现显著相关。创造力表现较高的学生在提示策略的构建、反馈的迭代处理以及元认知调节能力方面均呈现出更为成熟和精细的特征;创造力表现较低的学生则倾向于采用简单的线性思维模式。结论尽管学生普遍认可ChatGPT的设计价值和情感吸引力,但在复杂的提示构建和多层次反馈整合环节中,仍不可避免地会遇到认知负荷的挑战。本研究为计划在设计活动中引入基于自动化反馈技术的研究者提供了理论和实践参考。

Abstract

The work aims to investigate the impact of ChatGPT-based automated feedback technology on university students' engagement and electroencephalogram activity in design education, with a particular focus on students' behavioral patterns, cognitive strategies, emotional responses, and attention states during their interactions with ChatGPT. Using a mixed-methods approach, the research conducted a multiple case study of four design students. Data on participation was collected from multiple perspectives, including revision behaviors, application of cognitive strategies, and emotional responses to feedback, based on ChatGPT's dialogue generation mechanism. The findings revealed that students' interaction patterns with ChatGPT significantly correlated with their creative performance. Students with higher creativity demonstrated more sophisticated and refined characteristics in prompt strategy construction, iterative processing of feedback, and metacognitive regulation abilities, while those with lower creativity tended to adopt simpler linear thinking patterns. Although students generally acknowledge ChatGPT's design value and emotional appeal, they inevitably face cognitive load challenges in complex prompt construction and multi-level feedback integration. This study provides theoretical and practical references for researchers planning to incorporate automated feedback technology in design activities.

导出引用1

吴鑫, 陈飞. 基于ChatGPT自动化反馈对大学生设计参与度与脑电活动的影响[J]. 包装工程. 2025, 46(22): 352-362 https://doi.org/10.19554/j.cnki.1001-3563.2025.22.032

WU Xin, CHEN Fei. Impact of ChatGPT-Driven Automated Feedback on University Students' Engagement and Electroencephalogram Activity in Design[J]. Packaging Engineering. 2025, 46(22): 352-362 https://doi.org/10.19554/j.cnki.1001-3563.2025.22.032

中图分类号： TB472

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