人工智能驱动设计工具采用预测因素的实证分析

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

TEM Journal-Technology Education Management Informatics Pub Date : 2023-08-28 DOI:10.18421/tem123-28

Nguyen Thi Hong Chuyen, Nguyen The Vinh

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引用次数: 0

摘要

本研究考察了在使用人工智能工具进行课堂设计的背景下，技术接受和使用统一理论（UTAUT）的维度与外部变量之间的关系。在使用这些工具四个月后，208名参与者通过谷歌表格进行了调查。结构方程模型用于分析获得的回答。研究结果表明，性能预期、努力预期、社会影响力和可用性/可访问性是用户使用人工智能设计工具意图的可靠预测因素。然而，便利条件以及信任和信心的影响是微不足道的。所提出的概念模型占数据变化的54.6%。这项研究为人工智能设计工具的设计者和开发人员提供了理论和实践启示，可以提高这些工具的实际采用和利用率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Empirical Analysis of Predictors of AI-Powered Design Tool Adoption

This study examined the relationships among the dimensions of Unified Theory of Acceptance and Use of Technology (UTAUT) and external variables in the context of using artificial intelligence (AI)-powered tools for lecture design. After four months of utilizing the tools, 208 participants took the survey via Google Form. The structural equation model was utilized to analyze the obtained responses. Findings showed that performance expectancy, effort expectancy, social influence, and availability/accessibility are reliable predictors of users' intentions to utilize AI-powered design tools. However, the effects of facilitating conditions and trust and confidence are insignificant. The proposed conceptual model accounted for 54.6% of the data variation. This study provides designers and developers of AI-powered design tools with theoretical and practical implications that can enhance the practical adoption and utilization of these tools.

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来源期刊

TEM Journal-Technology Education Management Informatics COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.20

自引率

14.30%

发文量

176

审稿时长

8 weeks

期刊介绍： TEM JOURNAL - Technology, Education, Management, Informatics Is a an Open Access, Double-blind peer reviewed journal that publishes articles of interdisciplinary sciences: • Technology, • Computer and informatics sciences, • Education, • Management