I Like My Relational Machine Teacher: An AI Instructor’s Communication Styles and Social Presence in Online Education

积极倾听 课程 感知 心理学 数学教育 人工智能 风格(视觉艺术) 计算机科学 教育学 沟通 考古 神经科学 历史
作者
Jihyun Kim,Kelly Merrill,Kun Xu,Deanna D. Sellnow
出处
期刊:International Journal of Human-computer Interaction [Taylor & Francis]
卷期号:37 (18): 1760-1770 被引量:45
标识
DOI:10.1080/10447318.2021.1908671
摘要

New advancements in technology have made machines teachers, or technology-powered robots or AI that assist in the overall learning experience, a possibility. Though adoption rates are currently low, colleges and universities will likely incorporate some aspects of machine teachers (e.g., AI, robots) in their curriculums in the foreseeable future. However, little is known about how to create an effective machine teacher-based education. As an initial step, the present study examines whether an AI instructor's communication style would have an impact on students' perceptions about an AI instructor-based education. To test this inquiry, the study conducted an online experiment using a 2 (communication styles: functional vs. relational) x 2 (course topic: natural science vs. social science) between-subjects design. Primary results indicate that students develop more favorable perceptions about an AI instructor-based education when the AI instructor is relational rather than functional. This tendency is particularly strong when listening to a social science lecture. Further, social presence of an AI instructor functions as a mediator, which explains the reason why a relational AI instructor leads to more favorable perceptions about an AI instructor-based education is because of one's social presence of an AI instructor. Collectively, the study's findings indicate the importance of communication styles and social presence of an AI instructor.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
balabala完成签到,获得积分10
2秒前
4秒前
4秒前
西门子云完成签到,获得积分10
4秒前
htt完成签到,获得积分10
5秒前
wanci应助嗷唔一口吃掉采纳,获得10
6秒前
爱你的心完成签到 ,获得积分10
7秒前
暖阳完成签到,获得积分10
7秒前
斯文败类应助兮希采纳,获得10
9秒前
方人也完成签到 ,获得积分10
9秒前
9秒前
粗心的懿轩完成签到,获得积分10
10秒前
无奈白山完成签到,获得积分10
11秒前
桐桐应助老福贵儿采纳,获得10
13秒前
13秒前
无奈白山发布了新的文献求助10
14秒前
15秒前
上官若男应助ccq采纳,获得10
15秒前
碧落发布了新的文献求助10
16秒前
UHPC发布了新的文献求助10
16秒前
Sherlock完成签到 ,获得积分10
17秒前
斯文紫菜完成签到 ,获得积分10
18秒前
18秒前
Semy应助跳跃的电话采纳,获得10
19秒前
WuX发布了新的文献求助10
20秒前
战神发布了新的文献求助10
20秒前
22秒前
22秒前
MI发布了新的文献求助10
25秒前
NexusExplorer应助木木采纳,获得10
25秒前
26秒前
26秒前
shanshan完成签到,获得积分10
26秒前
科研通AI6.1应助哎呀采纳,获得10
26秒前
素源发布了新的文献求助10
27秒前
Sherlock发布了新的文献求助10
27秒前
隐形曼青应助舒心靖琪采纳,获得50
28秒前
天道酬勤完成签到,获得积分10
29秒前
WuX关闭了WuX文献求助
29秒前
SnowM发布了新的文献求助10
29秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6355911
求助须知:如何正确求助?哪些是违规求助? 8170753
关于积分的说明 17201931
捐赠科研通 5411940
什么是DOI,文献DOI怎么找? 2864440
邀请新用户注册赠送积分活动 1841940
关于科研通互助平台的介绍 1690226