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

  • Christopher Brooks
  • Jim Greer
  • Carl Gutwin


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.


Learning Environment Instructional Designer Discussion Forum Intelligent Tutor System Instructional Intervention 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.School of InformationUniversity of MichiganAnn ArborUSA
  2. 2.Department of Computer ScienceUniversity of SaskatchewanSaskatoonCanada

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