DocumentCode
240601
Title
Data Depository: Business & Learning Analytics for Educational Web Applications
Author
Malhotra, Manav ; I-Han Hsiao ; Hui Soo Chae ; Natriello, Gary
Author_Institution
EdLab, Columbia Univ., New York, NY, USA
fYear
2014
fDate
7-10 July 2014
Firstpage
363
Lastpage
364
Abstract
Quantitative methods in education research have long been limited by the ability to collect detailed learner data in a consistent, scalable way. As education continues to move online we are presented with an unprecedented opportunity to study learner interactions within learning systems. However, doing so requires infrastructure to collect and store massive interaction data from which we can learn. In this paper we present Data Depository, a flexible, pluggable, data hub for tracking interaction data from any browser-based application, aiding the measurement of usage and effectiveness.
Keywords
Internet; computer aided instruction; data analysis; browser-based application; business analytics; data depository; data hub; educational Web applications; interaction data tracking; learning analytics; quantitative methods; Business; Cities and towns; Educational institutions; Learning systems; Measurement; Monitoring; dashboard; depository; learning analytics; measurement; tracking; user interaction;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
Conference_Location
Athens
Type
conf
DOI
10.1109/ICALT.2014.237
Filename
6901481
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