Data for free: Using LMS activity logs to measure community in online courses

被引:56
作者
Black, Erik W. [1 ]
Dawson, Kara [1 ]
Priem, Jason [1 ]
机构
[1] Univ Florida, Coll Educ, Sch Teaching & Learning, Gainesville, FL 32611 USA
关键词
Community; Learning management systems; Data logs; Prediction;
D O I
10.1016/j.iheduc.2008.03.002
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In the study of online learning community, many investigators have turned attention to automatically logged web data, This study aims to further this work by seeking to determine whether logs of student activity within online graduate level courses related to student perceptions of course community. Researchers utilized the data logging features of the Moodle learning management system and the Classroom Sense of Community Index. Results reveal that cumulative course data logs are predictive of both a student's sense of connectedness and student community. This study adds to a foundation for a non-invasive assessment of affective variables in online learning environments. and suggests a simple method for providing e-learning instructors with real-time feedback for fostering online community. (C) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码:65 / 70
页数:6
相关论文
共 55 条
[1]  
Allen I.E., 2006, MAKING GRADE ONLINE
[2]  
Allen I. E., 2007, ONLINE NATION 5 YEAR
[3]  
[Anonymous], 2005, NEW DIRECTIONS I RES, DOI [DOI 10.1002/IR.152, 10.1002/ir.152]
[4]  
[Anonymous], TECHTRENDS
[5]  
[Anonymous], 2002, INT REV RES OPEN DIS, DOI DOI 10.19173/IRRODL.V3I1.79
[6]  
[Anonymous], COLLABORATIVE CONNEC
[7]  
[Anonymous], 2005, ELECT J E LEARNING
[8]  
Ayers Ian, 2007, SUPER CRUNCHERS WHY
[9]  
Berge Z.L., 1995, COMPUTER MEDIATED CO
[10]  
BLACK EW, 2008, AM J DISTANCE ED, V22