多样性(控制论)
透视图(图形)
产品(数学)
计算机科学
校长(计算机安全)
系统回顾
过程(计算)
服务(商务)
数据科学
心理学
工程伦理学
知识管理
管理科学
工程类
人工智能
政治学
梅德林
几何学
数学
经济
法学
经济
操作系统
作者
Rainer Winkler,Matthias Soellner
出处
期刊:Proceedings - Academy of Management
[Academy of Management]
日期:2018-07-09
卷期号:2018 (1): 15903-15903
被引量:345
标识
DOI:10.5465/ambpp.2018.15903abstract
摘要
Chatbots are becoming a ubiquitous trend in many fields such as medicine, product and service industry, and education. Chatbots are computer programs used to conduct auditory or textual conversations. A growing body of evidence suggests that these programs have the potential to change the way students learn and search for information. Especially in large-scale learning scenarios with more than 100 students per lecturer, chatbots are able to solve the problem of individual student support. However, until now, there has been no systematic, structured overview of their use in education. The aim of this paper is therefore to conduct a systematic literature review based on a multi-perspective framework, from which we have derived initial search questions, synthesized past research, and highlighted future research directions. We reviewed titles and abstracts of 1405 articles drawn from management, education, information systems, and psychology literature before examining and individually coding a relevant subset of 80 articles. The results show that chatbots are in the very beginning of entering education. Few studies suggest the potential of chatbots for improving learning processes and outcomes. Nevertheless, past research has revealed that the effectiveness of chatbots in education is complex and depends on a variety of factors. With our literature review, we make two principal contributions: first, we structure and synthesize past research by using an input-process-output framework, and secondly, we use the framework to highlight research gaps for guiding future research in that area.
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