arXiv:2510.16068cs.CYcs.AI2025-10

AI助教可帮教师高效设计跨学科项目,提升课程对齐与项目逻辑性。

Co-Designing Interdisciplinary Design Projects with AI

  • 基于GPT的AI规划工具,按十步流程整合跨学科内容。
  • 实验证明AI辅助项目在课程对齐和逻辑连贯性上评分更高。
  • 适合教育工作者与教育科技开发者参考,尤其关注本土化适配。

跨学科教学项目设计耗时且认知负担重,需兼顾课程匹配、多学科融合与合理顺序安排。本研究提出面向新加坡中学课程体系的跨学科项目规划助手IDPplanner,结合设计创新原则与21世纪核心素养。33名在职教师参与双版本对比实验:手动设计与AI辅助设计同一项目,采用六维量规进行自评与互评。结果显示,AI辅助版本在课程对齐、设计思维应用及整体连贯性方面得分更高,评估策略略优。教师反馈表明AI提升了结构设计、内容组织与创意生成,但本地化调整仍由教师主导。贡献包括一个十组件流程框架,含可复用提示词、模板与评价建议;基于量规的实证比较;以及证明AI可作为教学规划协作者。建议采用人机协作模式以增强课程适配性并降低设计复杂度,并为开发者提供上下文定制、迭代支持与本地化量规的设计方向。尽管以新加坡课程为基础,该流程与量规具有通用性,可通过参数化适配其他教育体系。

原文摘要 · Abstract (English)

Creating interdisciplinary design projects is time-consuming and cognitively demanding for teachers, requiring curriculum alignment, cross-subject integration, and careful sequencing. International research reports increasing teacher use of AI alongside persistent workload pressures, underscoring the need for planning support. This paper presents the Interdisciplinary Design Project Planner (IDPplanner), a GPT-based planning assistant grounded in Design Innovation principles, alignment with Singapore secondary school syllabuses, and 21st-century competencies. In a within-subject, counterbalanced workshop with 33 in-service teachers, participants produced two versions of the same project: manual and AI-assisted, followed by self- and peer-evaluations using a six-dimensional rubric. The AI-assisted version received higher scores for Curriculum Alignment, Design Thinking Application, and Coherence and Flow, with a marginal advantage for Assessment Strategies. Teacher reflections indicated that AI-assisted planning improved structure, sequencing, and idea generation, while contextualization to local syllabuses, class profiles, and student needs remained teacher-led. Contributions include a purpose-built planning tool that organizes ideas into a ten-component flow with ready-to-adapt prompts, templates, and assessment suggestions; an empirical, rubric-based comparison of planning quality; and evidence that AI can function as a pedagogical planning partner. Recommendations emphasize hybrid teacher-AI workflows to enhance curriculum alignment and reduce planning complexity, and design suggestions for developers to strengthen contextual customization, iterative design support, and localized rubrics. Although instantiated with a Singapore-based curriculum, the planning flow and rubric are framework-agnostic and can be parameterized for other systems.

AI教育跨学科教学教学设计人机协作

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