在在线数学学习平台中使用聊天机器人促进学生学习

IF 4 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Li Cheng, Ethan Croteau, Sami Baral, Cristina Heffernan, Neil Heffernan
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引用次数: 0

摘要

聊天机器人是吸引学生参与数学学习的一项前景广阔的技术。在杰罗姆-布鲁纳的建构主义和列夫-维果茨基的 "最近发展区 "理论指导下,我们设计并开发了一个结合了支架策略和社会情感因素的聊天机器人,并将其整合到了在线数学学习平台 ASSISTments 中。我们进行了一项实验研究,以考察与传统的提示式学习相比,聊天机器人对数学学习的影响。这项研究涉及来自美国三所不同学校的 85 名初高中学生。结果显示,在聊天机器人和传统提示条件下,学生的数学学习成绩、感知到的帮助和兴趣没有明显差异。然而,聊天机器人条件下的学生在干预后解决类似问题的信心明显降低,这可能是由于聊天机器人提供的高水平支持被取消了。尽管如此,学生的公开回答表明,对聊天机器人持积极态度的学生人数明显增多。他们对聊天功能、将问题分解为多个步骤以及实时支持表示赞赏。本研究最后讨论了研究结果以及对聊天机器人设计者和开发者的影响,并提出了聊天机器人辅助学习的未来研究和实践途径。为支持开放科学,本研究已进行了预先注册,研究中使用的数据和分析代码均可在 https://osf.io/am3p8/ 网站上公开获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Facilitating Student Learning With a Chatbot in an Online Math Learning Platform
Chatbots represent a promising technology for engaging students in math learning. Guided by Jerome Bruner’s constructivism and Lev Vygotsky’s Zone of Proximal Development, we designed and developed a chatbot that incorporates scaffolding strategies and social-emotional considerations, and we integrated it into ASSISTments, an online math learning platform. We conducted an experimental study to examine the influence of learning math with the chatbot compared to traditional learning with hints. This study involved 85 middle and high school students from three diverse school settings in the United States. The results revealed no significant differences in students' math learning performance and perceived helpfulness and interest between the chatbot and traditional hints conditions. However, students in the chatbot condition displayed significantly lower confidence in solving a similar problem after the intervention, likely due to the removal of the high level of support provided by the chatbot. Despite this, students’ open responses indicated that a significantly higher number of students had positive attitudes towards chatbots. They appreciated the chatting feature, breaking down a problem into steps, and real-time support. The study concludes with a discussion of the findings and implications for chatbot designers and developers and presents avenues for future research and practice in chatbot-assisted learning. In support of Open Science, this study has been preregistered and both the data and the analysis code used in this study are publicly available at https://osf.io/am3p8/ .
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来源期刊
Journal of Educational Computing Research
Journal of Educational Computing Research EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
11.90
自引率
6.20%
发文量
69
期刊介绍: The goal of this Journal is to provide an international scholarly publication forum for peer-reviewed interdisciplinary research into the applications, effects, and implications of computer-based education. The Journal features articles useful for practitioners and theorists alike. The terms "education" and "computing" are viewed broadly. “Education” refers to the use of computer-based technologies at all levels of the formal education system, business and industry, home-schooling, lifelong learning, and unintentional learning environments. “Computing” refers to all forms of computer applications and innovations - both hardware and software. For example, this could range from mobile and ubiquitous computing to immersive 3D simulations and games to computing-enhanced virtual learning environments.
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