"扩展技术接受模型 (TAM) 来预测大学生使用基于metaverse的学习平台的意图"
Ahmad Samed Al-Adwan1, Na Li2, Amer Al-Adwan3
1Department of Business Technology, Business School, Al-Ahliyya Amman University, Amman, Jordan.
概括
高等教育的学生更有可能采用元宇宙学习,如果他们发现它有用,愉快,和创新的IT. 感知到的网络风险是关键障碍,而易用性对采用几乎没有影响.
科学领域:
- 教育技术的教育技术
- 人与计算机的交互
- 信息系统信息系统信息系统
背景情况:
- 超宇宙为沉浸式在线学习提供了潜力,但其在高等教育中的采用尚未开始.
- 影响学生采用教育元宇宙技术的因素尚不清楚.
研究的目的:
- 探索影响高等教育学生行为意图的关键因素,以采用元宇宙技术用于教育.
- 提出并测试一个扩展的技术接受模型 (TAM),包括技术,个人和抑制/启用因素.
主要方法:
- 开发了一个扩展的TAM,整合了技术,个人和抑制/启用因素.
- 经验数据通过在线问卷从约旦的574名大学生收集.
- 使用了部分最小平方结构方程建模 (PLS-SEM) 分析.
主要成果:
- 感知到的有用性,个人IT创新能力,感知到的乐趣显著促进了元宇宙采用意图.
- 感知到的网络风险是metaverse采用的主要抑制因素.
- 感知到的易用性对采用意图的影响微不足道.
结论:
- 个人创新力,自我效能和感知到的网络风险显著影响感知到的有用性和易用性.
- 这些发现扩展了TAM模型,并为计划元宇宙整合策略的教育当局提供了实际见解.
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