About this paper

Appears in:
Pages: 1404-1413
Publication year: 2016
ISBN: 978-84-617-5895-1
ISSN: 2340-1095
doi: 10.21125/iceri.2016.1319

Conference name: 9th annual International Conference of Education, Research and Innovation
Dates: 14-16 November, 2016
Location: Seville, Spain

TRACKING COLLECTIVE LEARNER FOOTPRINTS: AGGREGATE ANALYSIS OF MOOC LEARNER DEMOGRAPHICS AND ACTIVITY

A. Wilde, M. León Urrutia, S. White

University of Southampton (UNITED KINGDOM)
Most MOOC platforms collect learner activity and demographics, and record them in datasets for their analysis. Cross-analysis of learner activity against demographic features such as age, profession, and country of origin can provide some insights on the diversity of learners and their behaviours. These analyses are often performed on individual courses, which not always provide comparable or generalisable results. Moreover, despite the massive numbers of learners, demographic data is often difficult to obtain, and represents a small proportion of the learning community. The analysis of aggregate data can help to enhance the significance generalisability of the results when combining activity and demographic data. However, aggregating data entails analytical challenges that can sometimes lead to misleading results. In this paper we analyse aggregate data from a set of MOOCs in a British university that uses the FutureLearn platform. Some of the results suggest that certain demographic features such as education level do not have a significant influence in engagement measures such as completion of courses. However, other demographic features such as age do have an influence. The paper then considers some of the caveats of aggregating data from different courses, and proposes solutions to overcome them.
@InProceedings{WILDE2016TRA,
author = {Wilde, A. and Le{\'{o}}n Urrutia, M. and White, S.},
title = {TRACKING COLLECTIVE LEARNER FOOTPRINTS: AGGREGATE ANALYSIS OF MOOC LEARNER DEMOGRAPHICS AND ACTIVITY},
series = {9th annual International Conference of Education, Research and Innovation},
booktitle = {ICERI2016 Proceedings},
isbn = {978-84-617-5895-1},
issn = {2340-1095},
doi = {10.21125/iceri.2016.1319},
url = {http://dx.doi.org/10.21125/iceri.2016.1319},
publisher = {IATED},
location = {Seville, Spain},
month = {14-16 November, 2016},
year = {2016},
pages = {1404-1413}}
TY - CONF
AU - A. Wilde AU - M. León Urrutia AU - S. White
TI - TRACKING COLLECTIVE LEARNER FOOTPRINTS: AGGREGATE ANALYSIS OF MOOC LEARNER DEMOGRAPHICS AND ACTIVITY
SN - 978-84-617-5895-1/2340-1095
DO - 10.21125/iceri.2016.1319
PY - 2016
Y1 - 14-16 November, 2016
CI - Seville, Spain
JO - 9th annual International Conference of Education, Research and Innovation
JA - ICERI2016 Proceedings
SP - 1404
EP - 1413
ER -
A. Wilde, M. León Urrutia, S. White (2016) TRACKING COLLECTIVE LEARNER FOOTPRINTS: AGGREGATE ANALYSIS OF MOOC LEARNER DEMOGRAPHICS AND ACTIVITY, ICERI2016 Proceedings, pp. 1404-1413.
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