You are here:

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

, ,

Internet and Higher Education Volume 11, Number 2, ISSN 1096-7516 Publisher: Elsevier Ltd


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.


Black, E.W., Dawson, K. & Priem, J. (2008). Data for free: Using LMS activity logs to measure community in online courses. Internet and Higher Education, 11(2), 65-70. Elsevier Ltd. Retrieved September 20, 2020 from .

This record was imported from Internet and Higher Education on January 29, 2019. Internet and Higher Education is a publication of Elsevier.

Full text is availabe on Science Direct:


Cited By

View References & Citations Map

These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact