教育中的聊天机器人:对目标、基础技术和理论、评估标准和影响的系统回顾

IF 10.5 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Tim Debets , Seyyed Kazem Banihashem , Desirée Joosten-Ten Brinke , Tanja E.J. Vos , Gideon Maillette de Buy Wenniger , Gino Camp
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引用次数: 0

摘要

关于在教育中开发和使用聊天机器人的文献越来越多。然而,对于开发和评估教育中的聊天机器人的目标、基础技术、理论和标准,目前还缺乏深入的了解。本研究对71篇论文进行了系统综述,通过对Web of Science和Scopus在2023年10月的全面搜索确定,以理解、比较并创建这些要素的全面概述。论文是根据PRISMA框架的指导方针逐步选定的。主要结果表明,大多数教育领域的聊天机器人都是以教学为导向的,并且越来越多地使用聊天机器人构建平台进行开发。然而,许多这些聊天机器人在没有坚实的理论基础的情况下被整合到教育环境中。尽管如此,它们主要是根据感知因素来评估的,在大多数情况下,证明它们对预期目标是有效的。本综述还发现了纳入研究的一些局限性,如异质性、发表偏倚和对短期影响的关注。总的来说,这篇综述增强了我们对聊天机器人在教育中的理解,并为教育工作者、从业者和研究人员提供了有价值的见解和指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chatbots in education: A systematic review of objectives, underlying technology and theory, evaluation criteria, and impacts
There is a growing body of literature on the development and use of chatbots in education. However, insights into the objectives, underlying technologies, theories, and criteria for developing and evaluating chatbots in education are lacking. This study presents a systematic review of 71 papers, identified through a thorough search in Web of Science and Scopus in October 2023, to understand, compare, and create a comprehensive overview of these elements. Papers were selected through a step-by-step procedure based on the guidelines of the PRISMA framework. The main results indicate that most chatbots in education are teaching-oriented and have increasingly been developed using chatbot builder platforms. However, many of these chatbots are integrated into educational settings without a solid theoretical foundation. Despite this, they are primarily evaluated based on perceptual factors and, in most cases, prove effective for their intended objectives. This review also identified a few limitations of the included studies, such as heterogeneity, publication bias, and focus on short-term impact. Overall, this review enhances our understanding of chatbots in education and provides valuable insight and guidance for educators, practitioners, and researchers.
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来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
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