大学教师使用数字学习工具的接受水平:UTAUT视角

Q1 Social Sciences
Fadi Bani Ahmad, Sabah Jamil Al-Nawaiseh, Asmaa Jameel Al-Nawaiseh
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引用次数: 0

摘要

该研究从UTAUT的角度调查了约旦大学教师使用数字学习工具的接受程度。为了达到研究目的,本文采用了描述性分析方法。研究样本由387名教师组成,通过有目的的随机方法选择。开发了一份电子问卷作为研究工具,并对其效度和信度进行了检验。研究结果表明,统一技术概念的接受和使用理论以及数字化学习的使用都具有重要意义。(UTAUT)。研究结果还显示,绩效期望、努力期望与社会影响和接受水平之间存在较强的正相关和中等相关。此外,研究结果还表明,便利条件的构建与学生的接受度呈弱正相关。该研究建议努力创造条件,加强约旦公立和私立大学对人工智能的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Receptivity Level of Faculty Members in Universities Using Digital Learning Tools: A UTAUT Perspective
The research investigates the degree of receptivity level of faculty members in Jordanian universities using digital learning tools from a UTAUT perspective. To achieve the research objectives, the descriptive-analytical approach is used. The research sample consists of (387) faculty members selected by the purposeful random method. An electronic questionnaire is developed as a research instrument, and its validity and reliability are checked. The results show that the unified theory of acceptance and usage of technology’s conceptions and the use of digital learning are both highly significant. (UTAUT). The findings also show a strong positive and medium correlation among the constructs: performance expectations, effort expectations, and social influences and receptivity level. Besides, the results demonstrate a positive and weak correlation between the facilitating conditions construct and the degree of receptivity. The research recommends working on creating conditions that enhance the use of artificial intelligence in Jordanian public and private universities.
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来源期刊
自引率
0.00%
发文量
352
审稿时长
12 weeks
期刊介绍: This interdisciplinary journal focuses on the exchange of relevant trends and research results and presents practical experiences gained while developing and testing elements of technology enhanced learning. It bridges the gap between pure academic research journals and more practical publications. So it covers the full range from research, application development to experience reports and product descriptions. Fields of interest include, but are not limited to: -Software / Distributed Systems -Knowledge Management -Semantic Web -MashUp Technologies -Platforms and Content Authoring -New Learning Models and Applications -Pedagogical and Psychological Issues -Trust / Security -Internet Applications -Networked Tools -Mobile / wireless -Electronics -Visualisation -Bio- / Neuroinformatics -Language /Speech -Collaboration Tools / Collaborative Networks
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