调查聊天机器人对教育机构及其学生提供的支持:系统的文献综述

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Multimodal Technologies and Interaction Pub Date : 2023-11-04 DOI:10.3390/mti7110103
Dimitrios Ramandanis, Stelios Xinogalos
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引用次数: 0

摘要

聊天机器人或会话代理(CA)是一种技术,用于模仿人类与支持特定服务的软件应用程序之间的对话过程。在过去的五年中,这种技术的使用已经大大增加,特别是在教育领域,ca主要被用作提供教育内容的教学助理。本文旨在通过系统地回顾聊天机器人为教育机构及其学生提供的支持,进一步详细调查其能力,并强调该技术可以和应该使用的各种方式,以最大限度地发挥其效益,从而为现有的知识体系做出贡献。重点是分析和综合CAs的新角色、使用建议和建议、学生的愿望和文献中记录的挑战。出于这个原因,我们使用PRISMA框架进行了系统的文献综述(SLR),以尽量减少SLR的常见偏差和局限性。然而,我们必须注意到,所提出的SLR有特定的局限性,即仅使用Scopus作为搜索引擎,使用一般搜索查询,并且仅选择最近5年用英文发表的期刊文章。
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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Investigating the Support Provided by Chatbots to Educational Institutions and Their Students: A Systematic Literature Review
A chatbot, or else a conversational agent (CA), is a technology that is used in order to imitate the process of a conversation between a human being and a software application for supporting specific services. The utilization of this technology has been increasing considerably over the past five years, particularly in education where CAs are mostly utilized as teaching assistants that provide educational content. This paper aims to contribute to the existing body of knowledge by systematically reviewing the support provided by chatbots both to educational institutions and their students, investigating their capabilities in further detail, and highlighting the various ways that this technology could and should be used in order to maximize its benefits. Emphasis is given to analyzing and synthesizing the emerging roles of CAs, usage recommendations and suggestions, student’s desires, and challenges recorded in the literature. For this reason, a systematic literature review (SLR) was carried out using the PRISMA framework in order to minimize the common biases and limitations of SLRs. However, we must note that the SLR presented has specific limitations, namely using only Scopus as a search engine, utilizing a general search query, and selecting only journal articles published in English in the last five years.
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来源期刊
Multimodal Technologies and Interaction
Multimodal Technologies and Interaction Computer Science-Computer Science Applications
CiteScore
4.90
自引率
8.00%
发文量
94
审稿时长
4 weeks
期刊最新文献
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