在职教师接受人工智能驱动的技术吗?学校支持和资源的中介作用

IF 4.1 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Rethabile Rosemary Molefi , Musa Adekunle Ayanwale , Lehlohonolo Kurata , Julia Chere-Masopha
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引用次数: 0

摘要

本研究调查了莱索托在职教师对人工智能(AI)的接受和使用情况,重点关注学校支持和资源(SSR)的中介作用。莱索托教育的特点是对技术整合的兴趣与日俱增,本研究通过探讨在职教师对人工智能应用的看法以及学校支持和资源的中介影响,填补了现有文献的重要空白。本研究以技术接受与使用统一理论(UTAUT)为理论框架,采用横断面设计,通过在线调查收集了 315 名在职教师的样本数据。数据采用最大似然估计法进行分析。结果表明,感知有用性、感知易用性和对人工智能的积极态度之间存在着实质性的正相关关系,而 SSR 在这些关系中发挥着关键的补充中介作用。然而,研究发现技术熟练程度与行为意向之间的关系并不显著,这表明有必要进一步调查有效整合人工智能所必需的技术技能。研究结果凸显了在职教师在教学实践中使用人工智能的意愿形成过程中,教师教学质量报告(SSR)所起的关键作用。因此,研究建议量身定制持续的专业发展计划和协作学习社区,以提高教师的技能。此外,研究还强调了倡导支持将人工智能融入教育的政策的重要性,并强调了与人工智能使用相关的伦理考虑因素。我们讨论了我们的研究结果对学校将人工智能融入教师教学实践的影响,并概述了未来的发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Do in-service teachers accept artificial intelligence-driven technology? The mediating role of school support and resources

This study investigates the acceptance and utilization of artificial intelligence (AI) among in-service teachers in Lesotho, focusing on the mediating role of school support and resources (SSR). In Lesotho's educational landscape, which is characterized by a growing interest in technology integration, this study fills an essential gap in the existing literature by exploring in-service teachers' perspectives on AI adoption and the mediating influence of SSR. Using the Unified Theory of Acceptance and Use of Technology (UTAUT) as the theoretical framework, the study adopts a cross-sectional design, collecting data from a sample of 315 in-service teachers through online surveys. The data was analyzed using maximum likelihood estimation. The results reveal a substantial positive relationship between perceived usefulness, perceived ease of use, and a positive attitude towards AI, with SSR playing a pivotal role as a complementary mediator in these connections. However, the study identifies a non-significant relationship between technical proficiency and behavioral intention, suggesting a need for further investigation into the technical skills essential for effective AI integration. The results highlight the critical role of SSR in shaping in-service teachers' intentions to use AI in their teaching practices. As a result, the study recommends tailored continuous professional development programs and collaborative learning communities to enhance teachers' skills. Additionally, it emphasizes the importance of advocating for policies that support AI integration in education and underscores the ethical considerations related to AI use. We discuss the implications of our results concerning integrating AI into teachers' teaching practices in schools and outline future directions.

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