亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Supporting Learning Engagement with Online Students

学生参与度 心理学 数学教育 在线学习 比例(比率) 透视图(图形) 在线参与 教育学 计算机科学 多媒体 互联网 万维网 物理 量子力学 人工智能
作者
Janet R. Buelow,Thomas A. Barry,Leigh E. Rich
出处
期刊:Online learning [The Online Learning Consortium]
卷期号:22 (4) 被引量:57
标识
DOI:10.24059/olj.v22i4.1384
摘要

University students are increasingly demanding that traditionally taught courses are converted to an online platform. While quality standards are in place for the format and organization of online courses, professors often are left wondering what activities contribute to learning engagement for their online students. The research question driving this study was, what activities contribute to learning engagement for online students? To investigate this question, an online survey was conducted in one state university of all students taking an online course during the spring semester. With responses from 417 students and using three standardized scale variables for learning engagement, as well as two open-ended questions, course components related to strong learning engagement were identified and examined. Initial findings indicated a statistically significant moderate correlation of learning engagement with the use of higher-order learning and reflective and integrative learning techniques. Specifically, students who reported being highly engaged connected ideas from other courses, changed their understanding of a topic or concept, found connections between their learning and societal problems, and had fun. A regression model using these variables, along with control variables of student age, gender, and out-of-school work, resulted in an R2 of 0.484, suggesting that almost half of the variance in learning engagement can be explained via this model. Further analysis of the qualitative data identified certain aspects of online discussions and assignments as engaging, such as discussions and interactive assignments that are not merely “fun” from a student perspective but also integrate previous learning and connect to current social issues. This includes prompting students with thought-provoking questions that relate to “real-world” situations and inviting students to share diverse opinions as well as develop personal perspectives.
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
科研通AI5应助风一样的我采纳,获得10
12秒前
14秒前
谦让大娘发布了新的文献求助10
17秒前
陪你长大发布了新的文献求助10
19秒前
成就的行云完成签到,获得积分10
24秒前
陪你长大完成签到,获得积分10
27秒前
29秒前
隐形曼青应助谦让大娘采纳,获得10
31秒前
32秒前
隐形曼青应助成就的行云采纳,获得10
34秒前
34秒前
谦让大娘完成签到,获得积分10
40秒前
慕青应助仁爱的凡波采纳,获得10
54秒前
mumu完成签到 ,获得积分10
55秒前
JamesPei应助科研通管家采纳,获得10
57秒前
57秒前
louqianqian发布了新的文献求助10
1分钟前
科研通AI5应助louqianqian采纳,获得10
1分钟前
华仔应助嘚嘚采纳,获得10
1分钟前
1分钟前
tlx发布了新的文献求助30
1分钟前
不期而遇完成签到 ,获得积分10
2分钟前
2分钟前
2分钟前
dahai发布了新的文献求助10
2分钟前
小张发布了新的文献求助10
2分钟前
XCHI完成签到 ,获得积分10
2分钟前
2分钟前
2分钟前
卓头OvQ发布了新的文献求助10
2分钟前
ifast完成签到 ,获得积分10
2分钟前
善学以致用应助小张采纳,获得10
2分钟前
浦肯野应助科研通管家采纳,获得30
2分钟前
隐形曼青应助科研通管家采纳,获得10
2分钟前
科研通AI5应助科研通管家采纳,获得10
2分钟前
Hqing完成签到 ,获得积分10
3分钟前
3分钟前
玖梦恨别离完成签到 ,获得积分10
3分钟前
嘚嘚发布了新的文献求助10
3分钟前
gordon完成签到,获得积分10
3分钟前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Population Genetics 3000
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Theory of Block Polymer Self-Assembly 750
지식생태학: 생태학, 죽은 지식을 깨우다 700
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3497453
求助须知:如何正确求助?哪些是违规求助? 3081931
关于积分的说明 9169860
捐赠科研通 2775181
什么是DOI,文献DOI怎么找? 1522781
邀请新用户注册赠送积分活动 706258
科研通“疑难数据库(出版商)”最低求助积分说明 703339