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Massive open online course completion rates revisited: Assessment, length and attrition

Jordan, Katy (2015). Massive open online course completion rates revisited: Assessment, length and attrition. International Review of Research in Open and Distributed Learning, 16(3) pp. 341–358.

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Abstract

This analysis is based upon enrolment and completion data collected for a total of 221 Massive Open Online Courses (MOOCs). It extends previously reported work (Jordan, 2014) with an expanded dataset; the original work is extended to include a multiple regression analysis of factors that affect completion rates and analysis of attrition rates during courses. Completion rates (defined as the percentage of enrolled students who completed the course) vary from 0.7% to 52.1%, with a median value of 12.6%. Since their inception, enrolments on MOOCs have fallen while completion rates have increased. Completion rates vary significantly according to course length (longer courses having lower completion rates), start date (more recent courses having higher percentage completion) and assessment type (courses using auto grading only having higher completion rates). For a sub-sample of courses where rates of active use and assessment submission across the course are available, the first and second weeks appear to be critical in achieving student engagement, after which the proportion of active students and those submitting assessments levels out, with less than 3% difference between them.

Item Type: Journal Item
Copyright Holders: 2015 The Author
ISSN: 1492-3831
Project Funding Details:
Funded Project NameProject IDFunding Body
Characteristics and completion rates of distributed and centralised MOOCsNot SetGates Foundation
Keywords: distance education; open learning; online learning; massive open online courses (MOOCs)
Academic Unit/School: Learning and Teaching Innovation (LTI) > Institute of Educational Technology (IET)
Learning and Teaching Innovation (LTI)
Item ID: 43566
Depositing User: Katy Jordan
Date Deposited: 30 Jun 2015 13:59
Last Modified: 07 Dec 2018 13:10
URI: http://oro.open.ac.uk/id/eprint/43566
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