作为教育的催化剂? 一项关于人工智能辅助绘画课程学习对大学生持续学习意向的影响的研究
Jie Sun1, Xinyi Huang1, Xin Sun2
1Academy of Arts and Design, Zhejiang A&F University, Hangzhou 311300, China.
Acta psychologica
|June 14, 2025
概括
艺术教育中的人工智能 (AI) 可以通过增强创造力和兴趣来提高学生的持续学习意图. 人工智能集成为跨学科提供了新的教育方法.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 艺术教育教育艺术教育
背景情况:
- 人工智能 (AI) 在高等教育中的整合正在迅速发展.
- 了解人工智能对学生参与和学习持久性的影响至关重要.
- 艺术教育为探索人工智能对创造性学习的影响提供了一个独特的背景.
研究的目的:
- 调查人工智能在大学生绘画教育中的作用.
- 检查人工智能对学生持续学习意图的影响.
- 在人工智能增强的艺术教育中确定影响持续学习意图的因素.
主要方法:
- 总共有1003个有效样本进行了两项调查 (研究1:793,研究2:210).
- 研究1利用路径分析来建立创造力,流动,兴趣和持续学习意图之间的关系,根据性别和教育水平进行调节.
- 第二项研究采用探索性因子分析来确定影响持续学习意向的关键因素.
主要成果:
- 自我感知的创造力,流体验和学习兴趣积极影响了持续学习的意图.
- 性别和教育水平被证实是重要的调节因素.
- 确定了影响持续学习意向的四个正面因素和三个负面因素.
结论:
- 人工智能可以通过培养创造力和兴趣来积极影响艺术教育中的持续学习意图.
- 这些发现为在艺术教育中应用AI提供了一个框架,并建议在其他学术领域应用更广泛的应用.
- 人工智能整合策略应考虑已识别的积极和消极因素,以最大限度地提高学生的学习持久性.
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