生成型人工智能交互和输出质量对大学生学习成果的影响:以技术为媒介和动机驱动的方法
1Engineering Training Center, Taiyuan Institute of Technology, Taiyuan, 030008, China.
Scientific reports
|July 5, 2025
概括
生成型人工智能 (GAI) 通过增强动机和自我效能,对大学生学习成果产生积极影响. 高质量的GAI互动和输出对于有效的学习至关重要,特别是具有创造性思维的因素.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 高等教育教学的教学.
背景情况:
- 生成型人工智能 (GAI) 越来越多地融入高等教育.
- 了解GAI对学生学习成果的影响至关重要.
- 现有的研究缺乏一个全面的模型,通过技术介导的学习镜头来检查GAI的影响.
研究的目的:
- 研究生成性人工智能 (GAI) 对大学生学习成果的影响.
- 开发和测试一个综合模型,检查GAI交互质量,GAI输出质量,激励因素和学习成果.
- 探索创意思维在GAI学习关系中的调节作用.
主要方法:
- 开发并经验测试了一种基于交互理论和技术介导学习理论的综合模型.
- 通过两波纵向调查,从323名中国大学生收集了数据.
- 利用统计分析来检查GAI质量,动机调解员,创造性思维调解员和学习成果之间的关系.
主要成果:
- GAI的交互质量和输出质量对学习动机和创造性自我效能产生了积极的影响.
- 学习动机显著调解了GAI输出质量和学习成果之间的关系.
- 创造性思维调节了模型中的几个路径,显示了跨时间点的变化.
结论:
- 无论是GAI互动还是输出质量,都对优化学生在高等教育中的学习体验至关重要.
- 激励因素,特别是学习动机,在GAI对学习成果的影响中发挥着重要的调解作用.
- 这些发现提供了理论和实践见解,用于有效地将GAI纳入教育环境.
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