Investigating the Effect of Chatbot-to-User Questions and Directives on Student Participation

D. Bailey, N. Almusharraf
{"title":"Investigating the Effect of Chatbot-to-User Questions and Directives on Student Participation","authors":"D. Bailey, N. Almusharraf","doi":"10.1109/CAIDA51941.2021.9425208","DOIUrl":null,"url":null,"abstract":"Pedagogical chatbots are used to elicit information from students. Yet, how the amount of student-generated content differs according to the type of chatbot-delivered questions is unknown. To this end, 19 South Korean English majors completed six chatbot assignments through an in-house developed Facebook Messenger chatbot. The chatbot activity entailed creating original stories for class presentations. In addition to directives requesting plot details, the chatbot used closed-ended button reply questions, open-ended questions, and fill-in-the-blank template statements to help students create stories. Results indicated that button reply questions allowed for pacing, recall and content assessment and required low levels of critical thinking. Next, open-ended questions and fill-in-the-blank template statements resulted in similar word count production but different levels of creativity and critical thinking. Lastly, directives requesting user input resulted in 35% more output, indicating students took more action when told to do something than when asked. Regarding the novelty effect, fewer students volunteered to do the sixth and final chatbot activity, but those who did produced word count on par with their initial chatbot activity.","PeriodicalId":272573,"journal":{"name":"2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAIDA51941.2021.9425208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Pedagogical chatbots are used to elicit information from students. Yet, how the amount of student-generated content differs according to the type of chatbot-delivered questions is unknown. To this end, 19 South Korean English majors completed six chatbot assignments through an in-house developed Facebook Messenger chatbot. The chatbot activity entailed creating original stories for class presentations. In addition to directives requesting plot details, the chatbot used closed-ended button reply questions, open-ended questions, and fill-in-the-blank template statements to help students create stories. Results indicated that button reply questions allowed for pacing, recall and content assessment and required low levels of critical thinking. Next, open-ended questions and fill-in-the-blank template statements resulted in similar word count production but different levels of creativity and critical thinking. Lastly, directives requesting user input resulted in 35% more output, indicating students took more action when told to do something than when asked. Regarding the novelty effect, fewer students volunteered to do the sixth and final chatbot activity, but those who did produced word count on par with their initial chatbot activity.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
调查聊天机器人对用户的问题和指令对学生参与的影响
教学聊天机器人被用来从学生那里获取信息。然而,根据聊天机器人提供的问题的类型,学生生成的内容的数量是如何不同的还不得而知。为此,19名韩国英语专业学生通过自己开发的Facebook Messenger聊天机器人完成了6个聊天机器人任务。聊天机器人的活动需要为课堂演讲创作原创故事。除了要求情节细节的指令外,聊天机器人还使用封闭式按钮回答问题,开放式问题和填空模板语句来帮助学生创建故事。结果表明,按钮回答问题允许节奏,回忆和内容评估,需要低水平的批判性思维。接下来,开放式问题和填空模板陈述的字数计算结果相似,但创造力和批判性思维水平不同。最后,要求用户输入的指令导致35%的输出,这表明学生在被告知做某事时比被要求做某事时采取了更多的行动。在新奇效应方面,自愿参加第六次也是最后一次聊天机器人活动的学生较少,但那些参加了聊天机器人活动的学生的字数与他们第一次聊天机器人活动的字数相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Melanoma Skin Lesions Classification using Deep Convolutional Neural Network with Transfer Learning A Comparison of Two-Stage Classifier Algorithm with Ensemble Techniques On Detection of Diabetic Retinopathy Predicting Congestive Heart Failure Risk Factors in King Abdulaziz Medical City A Machine Learning Approach Robotics: Biological Hypercomputation and Bio-Inspired Swarms Intelligence AI Support Marketing: Understanding the Customer Journey towards the Business Development
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1