.png){kind=icon}
返回
Three interaction patterns on asynchronous online discussion behaviours: A methodological comparison
.png){kind=icon}
PRE
AI
DOI：10.1111/jcal.12168.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
An asynchronous online discussion (AOD) is one format of instructional methods that facilitate student-centered learning. In the wealth of AOD research, this study evaluated how students' behavior on AOD influences their academic outcomes. This case study compared the differential analytic methods including web log mining, social network analysis and content analysis which were selected by three interaction patterns: person to system (P2S), person to person (P2P) and person to content (P2C) interaction. Forty-three undergraduate students participated in an online discussion forum for 12weeks. Multiple regression analyses with the predictor variables from P2S, P2P and P2C and with a criterion variable of a final grade indicated several interesting findings. For P2S analysis, visits on board (VOB) had a significant variable to predict final grades. Also, the result of P2P analysis proved that in-degree and out-degree centrality predicted final grades. The P2C results based on cognitive presence represent that students' messages were mostly affiliated to the exploration and integration levels and also predicted the final grades. This study ultimately demonstrated the effectiveness of using multiple analytic methodologies to address and facilitate students' participation at AOD.
Keyword:
asynchronous online discussion
content analysis
data-mining
social network analysis (SNA)
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.6
论文数:
3.0K
被引数:
5.2K
机构
引用论文
Impact of traffic-induced compaction of sandy soils on the yield of silage maize in The Netherlands
PREAI
分享收藏Social networks, communication styles, and learning performance in a CSCL community.png)
COMPUTERS & EDUCATION
COMPUTERS & EDUCATIONIF10.5
PREAI
分享收藏分享收藏
查看更多内容