UTAUT: Analyzing Google Sites Media Reception through Deep Learning on Energy

Abstract

This study aims to explore the determinants that influence the acceptance of using Google Sites as a digital learning platform, by referring to the Unified Theory of Acceptance and Use of Technology (UTAUT) framework combined with a qualitative approach.deep learning. The background of this study is the importance of technology integration in education that is not only functional, but also emotionally relevant and in accordance with the learning context. Using a quantitative approach, this study applies structural model analysis to test the relationship between variables such asself-efficacy, effort expectancy, teacher attitudes, and habits of using information technology. The findings show thatself-efficacy, expectations of ease of use, and teacher attitudes have a significant effect on behavioral intentions in using Google Sites, which then encourage the formation of habits in using technology. In addition, teachers' emotional needs have been shown to be a major factor in shaping perceptions of learning effectiveness, in addition to the importance of infrastructure support. Interestingly, the intensity of technology use is not always in line with positive perceptions of the learning process, emphasizing the need for a contextual and affect-based approach. This study confirms that the success of technology integration in learning is greatly influenced by affective factors, accessibility, and a comprehensive learning environment. This model enriches the application of UTAUT in the realm of digital education, especially in designing technology-based learning systems that accommodate the balance between cognitive and emotional aspects of students.