版权说明 操作指南
首页 > 成果 > 详情

An Adaptive Teaching Strategy for Blending Learning and Its Application

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文、会议论文
作者:
Zhang, Zhaoli;Zhang, Xingfang*;Liu, Hai;Shu, Jiangbo;Yi, Baolin
通讯作者:
Zhang, Xingfang
作者机构:
[Zhang, Xingfang; Zhang, Zhaoli; Yi, Baolin; Shu, Jiangbo; Liu, Hai] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Zhang, Xingfang] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
Blending learning;face-to-face learning;online learning;teaching effect;knowledge classification
期刊:
2017 INTERNATIONAL SYMPOSIUM ON EDUCATIONAL TECHNOLOGY (ISET 2017)
年:
2017
页码:
14-18
会议名称:
International Symposium on Educational Technology (ISET)
会议时间:
JUN 27-29, 2017
会议地点:
City Univ Hong Kong, Hong Kong, HONG KONG
会议主办单位:
City Univ Hong Kong
会议赞助商:
IEEE Hong Kong Sect Comp Chapter, Caritas Inst Higher Educ, Hong Kong Soc Multimedia & Image Comp
主编:
Wang, FL Au, O Ng, KK Shang, J Kwan, R
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-5090-3031-6
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61505064]; National Natural Science Foundation of Hubei Province [2016CFB497]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [CCNU17TS0002]; Program for National Key Technology Research and Development Program [2013BAH72B01, 2013BAH72B05, 2014BAH22F01, 2015BAK07B03, 2015BAH33F02]; CCNU from the colleges' basic research and operation of MOEMinistry of Education, Singapore [CCNU16JYKX031, CCNU16JYKX027]
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Recently, blending learning has attracted more and more researchers attention in the field of teaching and learning. However, there are many troubles in making it clear as teaching model is suitable for specific knowledge points and there are no fixed implementing pattern. In this paper, we propose a new teaching strategy for blending learning, and divide all the knowledge into five categories, such as declarative knowledge, concept knowledge, rule knowledge, basic skill knowledge, and problem solving knowledge. Furthermore, we analyze the characteristics of each category and predict which tea...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com