Acceptance and use of artificial intelligence and AI-based applications in education: A meta-analysis and future direction

IF 2 4区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Information Development Pub Date : 2024-06-05 DOI:10.1177/02666669241257206

Irfan Ali, N. Warraich, Khadija Butt

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引用次数: 0

Abstract

The aim of present study was to measure the relationship of UTAUT (Unified Theory of Acceptance and Use of Technology) and TAM (Technology Acceptance Model) variables regarding AI technology and AI-based applications acceptance in education sector. Research was carried out by using PRISMA (Preferred reporting items for systematic review and meta-analysis) guidelines. The relevant studies were searched from major databases that included a) Scopus, and b) Web of Science. Initial search retrieved 309 titles, and 30 relevant articles and conference papers were selected following the search process. Data was analysed using CMA (Comprehensive Meta-analysis) and Meta-Essential software. Findings exhibit that the relationship between UTAUT variables and BI to accept AI and AI-based applications in education was high (PE → BI), medium (EE → BI, SI → BI), and low (FC → BI). The magnitude of the relationship of TAM constructs remained high for all paths (PU → AT, PEOU → AT, PU → BI, and PEOU → BI). Theoretically, this meta-analysis provided a panoramic picture of two leading technology acceptance models regarding the acceptance/adoption of AI and AI-based technology in education sector. This meta-analysis provided a way forward for researchers to extend research on AI-based applications including ChatGPT, intelligent tutoring, AI-based robots, AI-based Chatbots, and AI-based voice assistants. Practically, findings are useful for IT companies, and decision makers of educational institutes in designing and implementing AI and AI-based applications.

查看原文本刊更多论文

人工智能和基于人工智能的应用在教育领域的接受和使用情况：荟萃分析与未来方向

本研究旨在衡量UTAUT（技术接受与使用统一理论）和TAM（技术接受模型）变量与人工智能技术和教育领域人工智能应用接受度之间的关系。研究采用了 PRISMA（系统综述和荟萃分析的首选报告项目）指南。相关研究在主要数据库中进行了搜索，包括 a) Scopus 和 b) Web of Science。初步搜索共检索到 309 个标题，根据搜索过程筛选出 30 篇相关文章和会议论文。使用 CMA（综合元分析）和 Meta-Essential 软件对数据进行了分析。研究结果表明，UTAUT变量与接受人工智能和基于人工智能的教育应用的BI之间的关系为高（PE→BI）、中（EE→BI、SI→BI）和低（FC→BI）。在所有路径（PU → AT、PEOU → AT、PU → BI 和 PEOU → BI）中，TAM 构建的关系程度仍然很高。从理论上讲，这项荟萃分析提供了有关教育领域接受/采用人工智能和基于人工智能的技术的两个主要技术接受模型的全景图。这项荟萃分析为研究人员扩展人工智能应用（包括 ChatGPT、智能辅导、人工智能机器人、人工智能聊天机器人和人工智能语音助手）的研究提供了前进方向。实际上，研究结果对信息技术公司和教育机构的决策者设计和实施人工智能和基于人工智能的应用非常有用。

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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来源期刊

Information Development INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

5.10

自引率

5.30%

发文量

期刊介绍： Information Development is a peer-reviewed journal that aims to provide authoritative coverage of current developments in the provision, management and use of information throughout the world, with particular emphasis on the information needs and problems of developing countries. It deals with both the development of information systems, services and skills, and the role of information in personal and national development.