在大学环境中接受人工智能:基于UTAUT2理论的概念分析
Benicio Gonzalo Acosta-Enriquez1, Emma Verónica Ramos Farroñan2, Luigi Italo Villena Zapata2
1Universidad Nacional de Trujillo, Peru.
Heliyon
|October 21, 2024
概括
这项研究发现,绩效预期和享乐动机推动了大学采用人工智能 (AI). 解决不信任和缺乏知识是成功在高等教育中实施人工智能的关键.
科学领域:
- 教育技术的教育技术
- 人与计算机的交互
- 高等教育研究 高等教育研究
背景情况:
- 人工智能 (AI) 在高等教育中的整合正在迅速扩大.
- 了解影响人工智能采用的因素对于有效实施至关重要.
- 现有的模型需要在大学背景下进行验证,才能被人工智能接受.
研究的目的:
- 系统地审查和分析影响大学接受AI应用的因素.
- 评估技术的接受和使用统一理论2 (UTAUT2) 模型在高等教育AI采用中的适用性.
- 确定影响学生,教师和工作人员使用人工智能的关键预测因素和障碍.
主要方法:
- 2018年至2023年间发表的50篇科学文本的系统文献综述.
- 使用UTAUT2模型分析影响人工智能接受的因素.
- 检查不同学科 (STEM与非STEM) 和机构类型 (公共与私人) 的采用模式.
主要成果:
- 绩效期望和享乐动机显著预测了大学人员的AI意图和使用情况.
- 对学生人工智能采用来说,感知到的易用性和社会影响很重要.
- 在STEM和非STEM学科之间存在人工智能采用的差异,以及公共和私人机构之间的差异.
结论:
- 该UTAUT2模型有效地解释了AI在高等教育中的采用.
- 战略必须解决不信任和缺乏知识等障碍,同时利用培训和道德设计等促进者.
- 为了成功实施人工智能,需要不同的方法,考虑到用户群体和机构背景.
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