DocumentCode :
1782928
Title :
Google analytics for time behavior measurement in Moodle
Author :
Filva, Daniel Amo ; Guerrero, Maria Jose Casany ; Forment, Marc Alier
fYear :
2014
fDate :
18-21 June 2014
Firstpage :
1
Lastpage :
6
Abstract :
The shift to e-learning and online education requires new and different approaches for tracking student performance and behavior. Moodle is currently the leading virtual learning environment in Spain, and a lot of different plugins have appeared to complement the lack of native tools to track the learning process in all its aspects. However, none of these take the temporal dimension as a possible behavior measurement into consideration. In this case study, a new technical and statistical approach to time tracking of students in Moodle will be discussed, so that time as a behavioral aspect can be considered in further assessments. Furthermore, this approach could not only be applied to Moodle, but to all other online virtual learning environments.
Keywords :
Web sites; computer aided instruction; object-oriented methods; statistical analysis; Google Analytics; Moodle; Spain; behavior measurement; e-learning; learning process tracking; online education; online virtual learning environments; statistical approach; student behavior tracking; student performance tracking; student time tracking; technical approach; temporal dimension; time behavior measurement; Context; Data collection; Data mining; Education; Google; Graphics; Least squares approximations; access; assessment; behaviour; evaluation; learning analytics; moodle; temporal dimension; time;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Systems and Technologies (CISTI), 2014 9th Iberian Conference on
Conference_Location :
Barcelona
Type :
conf
DOI :
10.1109/CISTI.2014.6877095
Filename :
6877095
Link To Document :
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