中国高等教育中的人工智能聊天机器人:在研究生中采用,感知和影响-利用UTAUT和ECM模型进行综合分析
Weiqi Tian1, Jingshen Ge2, Yu Zhao1
1College of Foreign Languages, Xinjiang University, Urumqi, China.
Frontiers in psychology
|February 22, 2024
概括
中国的研究生高度重视人工智能聊天机器人,确认和满意是继续使用的关键驱动因素. 个人创新能力也极大地影响了他们在教育中对人工智能技术的行为意图.
科学领域:
- 教育技术的教育技术
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 人工智能聊天机器人技术越来越多地融入高等教育.
- 了解学生采用对于有效实施至关重要.
- 像UTAUT和ECM这样的现有模型为分析技术接受提供了框架.
研究的目的:
- 调查中国研究生对AI聊天机器人的接受和使用情况.
- 确定影响学生态度,满意度和行为意图的关键因素.
- 探索人工智能聊天机器人在中国高等教育背景下采用的影响.
主要方法:
- 一个融合模型,结合了技术接受和使用的统一理论 (UTAUT) 和预期确认模型 (ECM).
- 数据收集来自中国各大学的373名研究生.
- 结构方程建模的部分最小方程方法 (PLS-SEM) 用于数据分析.
主要成果:
- 在11个假设中,有7个得到了验证.
- 预期确认模型 (ECM) 构造,特别是"确认"和"满意度",对用户行为产生了比UTAUT构造更大的影响.
- 感知到的确认显著影响了满意度和继续使用的意图.
- 个人创新能力是行为意图的关键决定因素.
结论:
- 在研究生中持续使用人工智能聊天机器人时,确认和满意度至关重要.
- 个人创新能力在塑造采用意图方面发挥着重要作用.
- 建议对教育环境中人工智能工具的采用进行进一步的研究,以加强教学和学习.
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