信念的力量:生成人工智能 (GenAI) 如何影响学业表现
Wenlong Zhu1, Tianxiang Li1, Qingjun Li2
1Business School, Qingdao University of Technology, Qingdao 266520, China.
Acta psychologica
|January 13, 2026
概括
学生的信仰显著影响生成人工智能 (GenAI) 在高等教育的采用和有效性. 持续使用GenAI会对学业成绩产生积极影响,强调将学生的期望与GenAI工具保持一致的重要性.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 人与计算机的交互
背景情况:
- 生成型人工智能 (GenAI) 的采用在高等教育中越来越多.
- 有限的研究探讨了学生的信仰如何影响GenAI的有效性和学术成果.
- 现有的模型,如信念-行动-结果 (BAO) 和多动态信息系统延续 (MISC),为理解技术采用提供了框架.
研究的目的:
- 调查学生信仰对生成人工智能 (GenAI) 应用程序有效性和学术表现的影响.
- 开发和测试一个整合BAO和MISC模型的理论框架.
- 为优化GenAI在教育环境中的整合提供实用见解.
主要方法:
- 使用了一种混合方法的解释性顺序设计.
- 通过问卷从724名学生收集的定量数据,使用结构方程建模分析.
- 通过采访15名不同类型的学生,收集了定性数据.
主要成果:
- 设计期望匹配积极影响学生对GenAI的信念.
- 学生的信念显著预测了GenAI工具的持续使用.
- 持续使用GenAI表明对任务和技术性能都有积极影响.
结论:
- 开发的理论模型有效地说明了从学生对新技术的信念到学术表现的途径.
- 研究结果强调了学生信仰在塑造GenAI对学习的影响中的关键作用.
- 在教育中优化GenAI应用程序需要注意用户的信念和期望对齐.
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