在艺术实践中开发协作人工智能:在创意探索中使用AI
IEEE computer graphics and applications
|January 26, 2026
概括
艺术工作室模型通过将大型学习模型集成到创意过程中,有效地教导人工智能 (AI). 这种方法支持以学生为导向的学习和文物创造,证明适用于人工智能教育.
科学领域:
- 人工智能教育 人工智能教育
- 艺术工作室模型应用程序
- 整合创作过程 整合创作过程
背景情况:
- 传统的AI教育模式可能无法充分利用创意潜力.
- 艺术工作室模型提供了一个独特的,自下而上的学习方法.
- 生成型人工智能工具与制造工件的目标保持一致.
研究的目的:
- 评估艺术工作室模型对于教学人工智能 (AI) 的适用性.
- 探索学生的经验,将大型学习模型 (LLM) 整合到他们的创意工作流中.
- 为采用这种模式在AI教育中提供证据和案例研究.
主要方法:
- 在2024-2025学年进行了定性研究.
- 一个异步的,工作室风格的AI课程的四个部分被实施.
- 学生的经验被记录下来,重点关注LLMs在创意任务中的整合.
主要成果:
- 艺术工作室模型被证明适用于教育学生的人工智能.
- 学生成功地将大型学习模型整合到他们的创作过程中.
- 定性数据和案例研究支持该模型的有效性.
结论:
- 艺术工作室模型是人工智能教育的可行和有效的教学方法.
- 学生指导的学习和人工制造是成功的关键组成部分.
- 该模型可以根据学生对人工智能的各种需求和兴趣进行调整.
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