整合翻转学习与生成式人工智能的实践型设计教育：来自针织纱线设计课程的证据
Integrating Flipped Learning and Generative AI for Practice-Based Design Education: Evidence from a Knit Yarn Design Course
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中文总结 AI 辅助
本研究提出一个整合翻转学习、生成式人工智能辅助视觉原型和工作室反馈的教学框架，应用于针织纱线设计课程，实验表明该框架能提升学生的创造性思维、设计技能和问题解决能力。
中文摘要 AI 辅助
在诸如针织纱线设计等实践型设计课程中，学生必须将视觉想法转化为可行的材料成果。这很困难，因为创意决策与纱线特性、针法结构、机器操作以及有限的实体打样机会紧密相关。本研究提出了一个整合的教学框架，将翻转学习、范例参考、生成式人工智能辅助的视觉原型制作和工作室反馈相结合，应用于一门本科针织纱线设计课程。该框架通过一个跨设备平台实施，包含课前微视频、形成性检查、精选图库和一个生成式人工智能支持的构思模块。一项探索性的课程评估比较了历史对照组（N=12）和干预组（N=16），并辅以问卷调查和简短访谈。研究结果被解读为特定情境下的指标，而非确证性的因果证据。探索性比较显示，干预组在创造性思维、设计技能、问题解决能力和课程总分方面得分更高。学生和教师的反馈表明，翻转学习支持了工作室准备，而生成式人工智能主要支持早期视觉探索，而非精确的技术指导。总体而言，本研究为在设计教育中整合翻转准备、生成式人工智能辅助的视觉原型制作和工作室反馈提供了一个基于实践的教学框架。
英文摘要
In practice-based design courses such as knit yarn design, students must turn visual ideas into feasible material outcomes. This is difficult because creative decisions are tied to yarn properties, stitch structures, machine operation, and limited opportunities for physical sampling. This study presents an integrated pedagogical framework that combines flipped learning, exemplar-based reference, GenAI-assisted visual prototyping, and studio feedback in an undergraduate knit yarn design course. The framework was implemented through a cross-device platform with pre-class micro-videos, formative checks, a curated gallery, and a GenAI-supported ideation module. An exploratory course-based evaluation compared a historical control cohort (N = 12) and an intervention cohort (N = 16), supplemented by questionnaire responses and brief interviews. The findings are interpreted as context-specific indicators rather than confirmatory causal evidence. Exploratory comparisons showed higher scores in creativity thinking, design skills, problem solving, and total course score in the intervention cohort. Student and instructor responses suggested that flipped learning supported studio readiness, while GenAI mainly supported early-stage visual exploration rather than precise technical guidance. Overall, the study offers a practice-based instructional framework for integrating flipped preparation, GenAI-assisted visual prototyping, and studio feedback in design education.
发表机构
- The Hong Kong Polytechnic University（香港理工大学）
机构由 AI 辅助整理，请以论文原文为准。
