Paper Info
Title
Challenge and Potential of Fine Grain, Cross-Institutional Learning Data.
Abstract
While MOOCs and other forms of large-scale learning are of growing importance, the vast majority of tertiary students still study in traditional face-to-face settings. This paper examines some of the challenges in attempting to apply the benefits of large-scale learning to these settings, building on a growing repository of cross-institutional data.
Year
DOI
Venue
2016
10.1145/2876034.2893429
L@S
Keywords
Field
DocType
learning analytics, education technology, reading lists, MOOCs, OER, linked data
Data science,Educational technology,Learning analytics,Computer science,Knowledge management,Linked data,Multimedia
Conference
Citations 
PageRank 
References 
2
0.54
2
Authors
1
Name
Order
Citations
PageRank
Alan J. Dix11688207.48