期望理论
结构方程建模
心理学
技术接受与使用的统一理论
概念模型
社会心理学
应用心理学
计算机科学
机器学习
数据库
出处
期刊:International journal of recent technology and engineering
[Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP]
日期:2023-02-25
卷期号:11 (6): 65-73
被引量:17
标识
DOI:10.35940/ijrte.f7475.0311623
摘要
In this study, we aim to contribute to the existing literature on the implementation of artificial intelligence (AI) in education. We explore the factors that impact the behavior and attitude of students toward the use of AI in higher education. We employed a quantitative approach using a wide range of adoption theories and models, including the unified theory of acceptance and use of technology model. We formulated hypotheses and verified the conceptual model. A questionnaire was used to collect data from 350 students. The structural equation model (SEM) was applied to estimate the relationship between dependent and independent variables. Based on SEM results, we found that despite perceived risk negatively impacting students’ attitudes, the factors of performance expectancy and facilitating conditions significantly influenced students’ attitudes and their behavioral intention to use AI in education. The results also show that effort expectancy does not significantly influence attitudes toward AI use in higher education. Research limitations are discussed at the end of this study.
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