Challenge and Potential of Fine Grain, Cross-Institutional Learning Data

Alan Dix

doi:10.1145/2876034.2893429

Challenge and Potential of Fine Grain, Cross-Institutional Learning Data

Alan Dix

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

222 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of the Third (2016) ACM Conference on Learning @ Scale
Publisher	Association for Computing Machinery
Pages	261-264
ISBN (Print)	978-1-4503-3726-7
DOIs	https://doi.org/10.1145/2876034.2893429
Publication status	Published - 25 Apr 2016
Event	The Third ACM Conference on Learning @ Scale (L@S 2016) - Edinburgh, United Kingdom Duration: 25 Apr 2016 → 26 Apr 2016

Conference

Conference	The Third ACM Conference on Learning @ Scale (L@S 2016)
Country/Territory	United Kingdom
City	Edinburgh
Period	25/04/16 → 26/04/16

Keywords

MOOCs
linked data
learning analytics
education technology
reading lists
OER

Access to Document

10.1145/2876034.2893429Licence: None: All rights reserved

2016-03-Large-scale-learning-crc
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Accepted author manuscript, 621 KBLicence: None: All rights reserved

http://dl.acm.org/citation.cfm?doid=2876034.2893429Licence: None: All rights reserved

Cite this

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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.",

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booktitle = "Proceedings of the Third (2016) ACM Conference on Learning @ Scale",

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N2 - 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.

AB - 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.

KW - MOOCs

KW - linked data

KW - learning analytics

KW - education technology

KW - reading lists

KW - OER

U2 - 10.1145/2876034.2893429

DO - 10.1145/2876034.2893429

M3 - Conference contribution

SN - 978-1-4503-3726-7

SP - 261

EP - 264

BT - Proceedings of the Third (2016) ACM Conference on Learning @ Scale

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T2 - The Third ACM Conference on Learning @ Scale (L@S 2016)

Y2 - 25 April 2016 through 26 April 2016

ER -

Challenge and Potential of Fine Grain, Cross-Institutional Learning Data

Abstract

Conference

Keywords

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