新型冠状病毒肺炎期间高校网络课程人机协同教学

Anna-Maria Velentza, I. Lefkos, Nikolaos Fachantidis
{"title":"新型冠状病毒肺炎期间高校网络课程人机协同教学","authors":"Anna-Maria Velentza, I. Lefkos, Nikolaos Fachantidis","doi":"10.1109/IISA56318.2022.9904335","DOIUrl":null,"url":null,"abstract":"Online lectures are extensively used in the academic area. Especially due to the Covid-19 lockdown restriction measures, the educational institutions were forced to conduct online classes. Consequently, it is important to determine how these classes can become more enjoyable while at the same time delivering the academic objectives to the students and how academic tutors can optimally interact with students. This paper specifically looks at the performance of social robots in place of university co-tutors, in the field of engineering, measuring the students’ enjoyment and understanding of the basic principles of the lecture’s content. Inspired by previous educational studies which have evidenced beneficial effects for both students and tutors after taught/conducting lectures with two collaborative tutors, the goal of this research is a) to test the students’ evaluation of two collaborative human tutors in comparison with one individual human when teaching academic lectures during online lectures, and b) to investigate the effect of a social robot co-tutor after comparing students understanding and level of enjoyment after attending a lecture given by human-human or human-robot co-tutors. The lectures took place via an online educational platform during an actual university course. Results indicated that students evaluated higher the co-tutor lectures in comparison with the individual tutor lectures, while they equally enjoyed and gained knowledge from both human-human and human-robot cotutored lectures.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Human-Robot Co-Teaching in Online University Course during Covid-19\",\"authors\":\"Anna-Maria Velentza, I. Lefkos, Nikolaos Fachantidis\",\"doi\":\"10.1109/IISA56318.2022.9904335\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Online lectures are extensively used in the academic area. Especially due to the Covid-19 lockdown restriction measures, the educational institutions were forced to conduct online classes. Consequently, it is important to determine how these classes can become more enjoyable while at the same time delivering the academic objectives to the students and how academic tutors can optimally interact with students. This paper specifically looks at the performance of social robots in place of university co-tutors, in the field of engineering, measuring the students’ enjoyment and understanding of the basic principles of the lecture’s content. Inspired by previous educational studies which have evidenced beneficial effects for both students and tutors after taught/conducting lectures with two collaborative tutors, the goal of this research is a) to test the students’ evaluation of two collaborative human tutors in comparison with one individual human when teaching academic lectures during online lectures, and b) to investigate the effect of a social robot co-tutor after comparing students understanding and level of enjoyment after attending a lecture given by human-human or human-robot co-tutors. The lectures took place via an online educational platform during an actual university course. Results indicated that students evaluated higher the co-tutor lectures in comparison with the individual tutor lectures, while they equally enjoyed and gained knowledge from both human-human and human-robot cotutored lectures.\",\"PeriodicalId\":217519,\"journal\":{\"name\":\"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IISA56318.2022.9904335\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IISA56318.2022.9904335","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在线讲座在学术领域得到了广泛的应用。特别是受新冠肺炎疫情封锁措施影响,各教育机构被迫在线授课。因此,重要的是要确定这些课程如何变得更有趣,同时向学生传达学术目标,以及学术导师如何与学生进行最佳互动。本文专门研究了社会机器人代替大学共同导师在工程领域的表现,测量学生对讲座内容基本原则的享受和理解。受以往教育研究的启发,两名合作导师授课对学生和导师都有有益的影响,本研究的目标是a)测试学生在在线授课时对两名合作导师的评价,并将其与一名个人授课进行比较;b)通过比较学生在听了人与人、人与机器人联合导师的讲座后的理解力和享受程度,来考察社交机器人联合导师的效果。这些讲座是在实际的大学课程中通过在线教育平台进行的。结果表明,学生对联合导师授课的评价高于单独导师授课,而他们同样喜欢并从人与人之间和人机之间的辅导授课中获得知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human-Robot Co-Teaching in Online University Course during Covid-19
Online lectures are extensively used in the academic area. Especially due to the Covid-19 lockdown restriction measures, the educational institutions were forced to conduct online classes. Consequently, it is important to determine how these classes can become more enjoyable while at the same time delivering the academic objectives to the students and how academic tutors can optimally interact with students. This paper specifically looks at the performance of social robots in place of university co-tutors, in the field of engineering, measuring the students’ enjoyment and understanding of the basic principles of the lecture’s content. Inspired by previous educational studies which have evidenced beneficial effects for both students and tutors after taught/conducting lectures with two collaborative tutors, the goal of this research is a) to test the students’ evaluation of two collaborative human tutors in comparison with one individual human when teaching academic lectures during online lectures, and b) to investigate the effect of a social robot co-tutor after comparing students understanding and level of enjoyment after attending a lecture given by human-human or human-robot co-tutors. The lectures took place via an online educational platform during an actual university course. Results indicated that students evaluated higher the co-tutor lectures in comparison with the individual tutor lectures, while they equally enjoyed and gained knowledge from both human-human and human-robot cotutored lectures.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信