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Trends in MOOC completion
rates : The story so far!
Katy Jordan
The Open University
@katy_jordan
Futurelearn Analytics
Network Meeting
14th June 2015
Overview
1. How it began
2. Key results
3. Demonstration
J F M A M J J A S O N D
Started blogging at
http://moocmoocher.wordpress.com
CS101
HCI
Internet History,
Technology &
Security
Networked Life
Securing Digital
Democracy
Social Network Analysis
2012: Getting into MOOCs
Completed MOOCs Blogging Press Research
J F M A M J J A S O N D
Blogged
about final
project
Picked up
by Phil Hill
CNN Money
Magazine
Universities
UK report
Private Eye
Times Higher
Education
MRI invite
Art & Inquiry
Introduction to
Communication
Science
Online
Games:
Literature,
New Media,
and
Narrative
UX for the
web
Big Data for
Better
Performance
Early
Childhood
Education
2013: MOOC project goes global
Completed MOOCs Blogging Press Research
MRI project
Social &
Economic
Networks
E-learning &
Digital Cultures
Infographics &
Visualisation
2014 onwards: Research
findings and future directions
• Data collection ongoing
• Three papers:
1. Initial trends in enrolment and completion of massive
open online courses. The International Review of
Research in Open and Distance Learning, 15(1),
133-160 (2014).
2. Exploring co-studied massive open online course
subjects via social network analysis. International
Journal of Emerging Technologies in Learning 9(8),
38-41 (2014).
3. Massive Open Online Course completion rates
revisited: Assessment, length and attrition. The
International Review of Research in Open and
Distributed Learning (in press).
Key results: IRRODL 2014
• Data collected from 02/2013 to 07/2013
• Enrolment n = 91, completion n = 42.
• How massive is massive? 43,000
• What is the average completion rate? 6.5%
• Enrolments decreasing over time.
• No correlation between university ranking or
enrolment and completion rate; negative correlation
with course length.
Key results: IRRODL 2015
• Data collection continued to 11/2013
• Enrolment n = 221, completion n = 129.
• Total enrolment continuing to decrease over time
• Completion increasing over time
• Completion negatively correlates with course length
• Peer assessed courses have lower completion rates
Key results: IRRODL 2015
Key results: IRRODL 2015
Current picture
Future directions
1. Considering different definitions of
completion
2. Developing model of course design
factors
3. Demographic factors and social
impact
-> All depend on availability and
collation of data
http://www.katyjordan.com/MOO
Cproject.html
Thank-you for listening
katy.jordan [at] open.ac.uk
@katy_jordan
http://moocmoocher.wordpress.com

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Futurelearn Academic Network presentation

  • 1. Trends in MOOC completion rates : The story so far! Katy Jordan The Open University @katy_jordan Futurelearn Analytics Network Meeting 14th June 2015
  • 2. Overview 1. How it began 2. Key results 3. Demonstration
  • 3. J F M A M J J A S O N D Started blogging at http://moocmoocher.wordpress.com CS101 HCI Internet History, Technology & Security Networked Life Securing Digital Democracy Social Network Analysis 2012: Getting into MOOCs Completed MOOCs Blogging Press Research
  • 4. J F M A M J J A S O N D Blogged about final project Picked up by Phil Hill CNN Money Magazine Universities UK report Private Eye Times Higher Education MRI invite Art & Inquiry Introduction to Communication Science Online Games: Literature, New Media, and Narrative UX for the web Big Data for Better Performance Early Childhood Education 2013: MOOC project goes global Completed MOOCs Blogging Press Research MRI project Social & Economic Networks E-learning & Digital Cultures Infographics & Visualisation
  • 5. 2014 onwards: Research findings and future directions • Data collection ongoing • Three papers: 1. Initial trends in enrolment and completion of massive open online courses. The International Review of Research in Open and Distance Learning, 15(1), 133-160 (2014). 2. Exploring co-studied massive open online course subjects via social network analysis. International Journal of Emerging Technologies in Learning 9(8), 38-41 (2014). 3. Massive Open Online Course completion rates revisited: Assessment, length and attrition. The International Review of Research in Open and Distributed Learning (in press).
  • 6. Key results: IRRODL 2014 • Data collected from 02/2013 to 07/2013 • Enrolment n = 91, completion n = 42. • How massive is massive? 43,000 • What is the average completion rate? 6.5% • Enrolments decreasing over time. • No correlation between university ranking or enrolment and completion rate; negative correlation with course length.
  • 7. Key results: IRRODL 2015 • Data collection continued to 11/2013 • Enrolment n = 221, completion n = 129. • Total enrolment continuing to decrease over time • Completion increasing over time • Completion negatively correlates with course length • Peer assessed courses have lower completion rates
  • 11. Future directions 1. Considering different definitions of completion 2. Developing model of course design factors 3. Demographic factors and social impact -> All depend on availability and collation of data
  • 13. Thank-you for listening katy.jordan [at] open.ac.uk @katy_jordan http://moocmoocher.wordpress.com

Notes de l'éditeur

  1. Multiple regression of factors from paper 1 plus categorisation according to assessment type
  2. 218 as of 12th June Average size = 25000 Average completion rate = 15%