在教学和学习中对生成人工智能的看法:基于UTAUT和TPACK模型的教师和学生的研究
Ushba Rasool1, Jie Li1, Mengyue Liu2
1School of International Studies, Zhengzhou University, China.
Acta psychologica
|October 30, 2025
概括
教师和学生都看到了生成性AI在教育中的潜力,但他们对隐私和批判性思维感到担忧. 战略整合是成功在学习环境中采用人工智能的关键.
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:
- 生成性AI工具越来越多地被整合到教育环境中.
- 了解用户的感知对于有效的AI实施至关重要.
- 像UTAUT和TPACK这样的现有框架可以引导AI集成.
研究的目的:
- 探索教师和学生对教育中生成人工智能的看法.
- 了解AI对课程规划,学习行为和学术表现的影响.
- 在教学和学习中识别与人工智能工具相关的好处和挑战.
主要方法:
- 通过对244名学生和29名教师的调查收集的定量数据.
- 通过半结构面试收集的定性数据.
- 基于技术接受和使用统一理论 (UTAUT) 和技术教学内容知识 (TPACK) 框架的分析.
主要成果:
- 学生和教师都认识到生成人工智能的潜力,以实现个性化的学习和资源访问.
- 确定的担忧包括数据隐私,内容准确性和对批判性思维的潜在障碍.
- 关于人工智能在教育环境中的采用和影响,存在各种观点.
结论:
- 为了在教育中整合生成人工智能,需要采用战略和包容性的方法.
- 社会影响,促进条件和教学融合对于成功采用人工智能至关重要.
- 需要进一步的研究来应对挑战,并优化AI在提高学习成果方面的作用.
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