@inproceedings{d44ef121e19a41faa0219524ba40ba5e,
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.",
keywords = "Education technology, Learning analytics, Linked data, MOOCs, OER, Reading lists",
author = "Alan Dix",
year = "2016",
month = apr,
day = "25",
doi = "10.1145/2876034.2893429",
language = "English",
series = "L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale",
publisher = "Association for Computing Machinery, Inc",
pages = "261--264",
booktitle = "L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale",
note = "3rd Annual ACM Conference on Learning at Scale, L@S 2016 ; Conference date: 25-04-2016 Through 26-04-2016",
}