@inproceedings{6292fe0fd9df41a69ebf7e2b5ec85f63,
title = "Data depository: Business & learning analytics for educational web applications",
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 = "dashboard, depository, learning analytics, measurement, tracking, user interaction",
author = "Manav Malhotra and Hsiao, {I. Han} and Chae, {Hui Soo} and Gary Natriello",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 14th IEEE International Conference on Advanced Learning Technologies, ICALT 2014 ; Conference date: 07-07-2014 Through 09-07-2014",
year = "2014",
month = sep,
day = "17",
doi = "10.1109/ICALT.2014.237",
language = "English (US)",
series = "Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "363--364",
editor = "Sampson, {Demetrios G.} and Spector, {Michael J.} and Nian-Shing Chen and Ronghuai Huang and Kinshuk",
booktitle = "Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014",
}