Data depository: Business & learning analytics for educational web applications

Manav Malhotra, I. Han Hsiao, Hui Soo Chae, Gary Natriello

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014
EditorsRonghuai Huang, Kinshuk, Demetrios G. Sampson, Michael J. Spector, Nian-Shing Chen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages363-364
Number of pages2
ISBN (Electronic)9781479940387
DOIs
StatePublished - Sep 17 2014
Externally publishedYes
Event14th IEEE International Conference on Advanced Learning Technologies, ICALT 2014 - Athens, Greece
Duration: Jul 7 2014Jul 9 2014

Publication series

NameProceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014

Other

Other14th IEEE International Conference on Advanced Learning Technologies, ICALT 2014
CountryGreece
CityAthens
Period7/7/147/9/14

Keywords

  • dashboard
  • depository
  • learning analytics
  • measurement
  • tracking
  • user interaction

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Education

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  • Cite this

    Malhotra, M., Hsiao, I. H., Chae, H. S., & Natriello, G. (2014). Data depository: Business & learning analytics for educational web applications. In R. Huang, Kinshuk, D. G. Sampson, M. J. Spector, & N-S. Chen (Eds.), Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014 (pp. 363-364). [6901481] (Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICALT.2014.237