预测大学教师对数字技术的行为意向:技术接受与使用统一理论模型(UTAUT)的扩展

John Demuyakor, Vivian Adjeikaa Doe, Christian Tachie-Djan, Muhammad Arshad Bhatti, Stevens Justice Avenyo
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引用次数: 0

摘要

过去几十年来,信息和通信技术提高了大学教师提供有效和及时教学的能力。因此,本研究探讨了加纳高等教育机构的大学教师在教学中使用数字技术的行为意向。我们以 "技术接受与使用统一理论"(UTAUT)为研究基础,测试了互联网数据成本和智能手机成本这两个关键变量对预测三所高等教育机构的大学教师使用数字技术进行在线教学的行为意向(BI)的贡献。我们采用部分最小二乘法结构方程模型进行数据分析。对互联网数据成本和智能手机成本如何影响大学教师使用数字技术(DTs)的行为意向(BI)的假设检验得到了支持。我们的研究结果进一步表明,大学教师使用数字技术的意愿受到社会影响、个人经验和便利条件等决定因素的影响。本研究的结论是,研究结果的两极性有助于大学当局了解在为大学教学选择适当的数字技术时应考虑的因素。本研究的结论为大学教师提供了一个模板,以促使政府改变影响高等院校引入数字技术的政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting University Teachers’ Behavior Intentions Toward Digital Technologies: An Extension of the Unified Theory of Acceptance and Use of Technology Model (UTAUT)
Information and Communication Technologies over the past decades have enhanced University Teachers’ ability to provide effective and prompt teaching and learning. Therefore, this study explored University Teachers' behaviour intentions toward the use of digital technologies for teaching and learning in higher educational institutions in Ghana. We grounded our study on the Unified Theory of Acceptance and Use of Technology (UTAUT) by testing the contributions of two key variables, the Cost of Internet Data and the Cost of Smart Phones to predict Behaviour Intentions (BI) of university teachers in three higher educational institutions towards the use of Digital Technologies (DTs) for online teaching and learning. We applied Partial Least Square Structural Equation Modelling for data analysis. Hypotheses testing on how the Cost of Internet Data and the Cost of Smartphones influence university teachers' Behaviour Intentions (BI) toward the use of Digital Technologies (DTs) were supported. The findings of our study further showed that university teachers’ intentions to use DTs are influenced by determinants such as social influence, personal experience, and facilitating conditions. The study concludes that the polarity in the findings could help the university authorities to understand the factors to consider in selecting appropriate digital technologies for teaching and learning in universities. The findings from this study are a template for University teachers to get governments to change policies that affect the introduction of digital technologies in higher educational institutions.
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