Publication: The Data-Assisted Approach to Building Intelligent Technology-Enhanced Learning Environments

This chapter deals with the sensemaking activity in learning analytics. It provides a detailed description of the data-assisted approach to building intelligent technology-enhanced learning systems, which focuses on helping instructional experts discover insight into the teaching and learning process, and leverages that insight as instructional interventions. To accomplish this, three different scenarios and associated case studies are provided: the use of information visualization in online discussion forums, the use of clustering for lecture capture viewership, and the ability to customize indexes in lecture capture playback. As each case study is described, the sensemaking process is contextualized to the different instructional experts that are involved.

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Participants

Christopher Brooks
University of Saskatchewan
J. Greer
Carl Gutwin
University of Saskatchewan

Citation

Brooks, C., Greer, J., Gutwin, C. 2014. The Data-Assisted Approach to Building Intelligent Technology-Enhanced Learning Environments. In Handbook of Learning Analytics: Methods, Tools, and Approaches, Chapter The Data-Assisted Approach to Building Intelligent Technology-Enhanced Learning Environments. 133-156.

BibTeX

@inbook {478-the-data-assisted-approach,
author= {Christopher Brooks and J. Greer and Carl Gutwin},
title= {The Data-Assisted Approach to Building Intelligent Technology-Enhanced Learning Environments},
booktitle= {Handbook of Learning Analytics: Methods, Tools, and Approaches},
year= {2014},
pages= {133-156},
chapter= {The Data-Assisted Approach to Building Intelligent Technology-Enhanced Learning Environments}
}