数字驱动因素:技术模型的接受和使用如何塑造大学生对生成人工智能的行为

Amani BinJwair¹, Abdullah Alamer²

¹Department of Curriculum & Instruction, Prince Sattam Bin Abdulaziz University, Saudi Arabia.

Acta psychologica

|November 22, 2025

概括

社会影响力和积极态度是沙特阿拉伯大学生采用生成人工智能 (GenAI) 的关键驱动力. 行为意图显著预测了GenAI的使用情况,强调了社会支持和参与的重要性.

科学领域:

教育技术的教育技术
人工智能采用人工智能采用人工智能采用人工智能采用人工智能采用
高等教育高等教育

背景情况:

生成型人工智能 (GenAI) 正在高等教育中迅速出现.
了解学生采用因素对于有效的融合至关重要.
技术接受和使用的统一理论 (UTAUT) 为分析技术采用提供了一个框架.

研究的目的:

调查影响沙特大学生采用生成人工智能 (GenAI) 的因素.
检查UTAUT构造 (绩效预期,努力预期,社会影响,促进条件,态度,感知风险) 对GenAI使用的作用.
探索行为意图的调解效应和年龄,性别和AI熟悉度的调节效应.

主要方法:

在沙特阿拉伯,对742名大学生进行了定量调查.
数据分析采用了双因素探索性结构方程建模 (bi-ESEM).
研究了UTAUT构造,行为意图和GenAI使用行为之间的直接和间接关系.

主要成果:

全球社会影响是行为意图的最强有力的预测因素,其次是对GenAI的态度.
行为意图是实际使用GenAI的最强有力的预测因素,并调解了态度与使用关系.
对GenAI的态度直接影响了使用行为;全球预期没有显著的影响.

结论:

社会验证和积极的态度对于推动学生采用GenAI至关重要.
行为意图和态度是理解和促进高等教育中使用GenAI的核心.
调查结果为教育工作者和政策制定者提供了实际的意义,以促进GenAI的整合.

关键词:

人工智能的人工智能是人工智能.生成性AI是一种人工智能.高等教育高等教育.结构方程建模结构方程建模技术采用技术采用在外面的世界里

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