A review of opportunities and challenges of chatbots in education
A review of opportunities and challenges of chatbots in education
复制标题
聊天机器人在教育领域的机遇与挑战回顾
DOI：
10.1080/10494820.2021.1952615
复制
发表时间：
2021
影响因子：
5.4
通讯作者：
Ching
中科院分区：
文献类型：
--
作者：
Gwo;Ching
摘要通过文献综述，通过检索科学网(WOS)数据库，分析社会科学引文索引(SSCI)期刊上发表的相关论文，探讨聊天机器人在教育研究中的发展趋势。从分析结果发现，美国、台湾和香港是贡献最大的三个国家或地区。此外，大多数研究在研究设计中采用了定量方法，如方差分析、描述性统计、t检验和相关分析。协方差分析(ANCOVA)是比较不同学生群体的表现或看法的最常用的方法。从分析结果来看，采用引导式学习的研究比例最高，其次是没有学习活动。人们确定，有关聊天机器人在教育中的研究仍处于早期阶段，因为很少有实证研究调查聊天机器人使用有效的学习设计或学习策略。这意味着在改进学习过程和学习结果方面，开展相关研究以推动创新教学的空间很大。最后，根据本研究的发现，我们指出了研究的不足，并对未来的研究提出了几点建议。
ABSTRACT This study explores the trends of chatbots in education studies by conducting a literature review to analyze relevant papers published in the Social Science Citation Index (SSCI) journals by searching the Web of Science (WoS) database. From the analysis results, it was found that the United States, Taiwan and Hong Kong are the top three contributing countries or regions. In addition, most studies adopted quantitative methods in their research design, such as ANOVA (Analysis of variance), descriptive statistics, t test, and correlation analysis. ANCOVA (Analysis of covariance) was the most frequently adopted approach for comparing the performances or perceptions of different groups of students. From the analysis results, the greatest proportion of studies adopted guided learning, followed by no learning activities. It was determined that the studies related to chatbots in education are still in an early stage since there are few empirical studies investigating the use of effective learning designs or learning strategies with chatbots. This implies much room for conducting relevant research to drive innovative teaching in terms of improving the learning process and learning outcomes. Finally, we highlight the research gaps and suggest several directions for future research based on the findings in the present study.