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MOOC analytics: live
dashboards, post-hoc analytics
and the long-term effects.
Lorenzo Vigentini1, Yuan Wang2, Luc
Paquette3, Manuel León Urrutia4
2
UNSW Sydney, Australia
2
Columbia University, USA
3
University of Illinois Urbana-Champaign, USA
4
University of Southampton, UK
l.vigentini@unsw.edu.au, elle.wang@columbia.edu,
lpag@illinois.edu, m.leon-urrutia@soton.ac.uk
Workshops from the 7th International Learning Analytics
and Knowledge Conference. Simon Fraser University, Van-
couver, Canada, 13-17 March 2017
Published October 2017.
Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and acade-
mic purposes. This volume is published and copyrighted by its editors.
This volume puts together a series of papers presented at two workshops hosted at the
Learning analytics and Knowledge (LAK) conference in 2017. Even though the two
workshops were organised independently, the range of submissions provides a snapshot
of the type of research currently conducted with MOOCs.
Acknowledgements
The Editors of the volume would like to acknowledge the essential work of all the pro-
gramme committee members who contributed to improve the papers during the review
process:
• Guanliang Chen (TU DELFT, Netherland)
• Andrew Clayphan (UNSW, Australia)
• Ben Daniel Motidyang (University of Otago, New Zealand)
• Daniel Davis (TU DELFT, Netherland)
• Rebecca Ferguson (Open University, UK)
• Hernández-Leo, Davinia (Universitat Pompeu Fabra Barcelona, Spain)
• Srecko Joksimovic (University of Edinburgh, UK)
• Vitomir Kovanovic (University of Edinburgh, UK)
• Danny Liu (University of Sydney, Australia)
• Luc Paquette (Columbia, USA)
• Negin Mirriahi (UNSW, Australia)
• Bart Rienties (Open University, UK)
• Sukaina Walji (University of Cape Town, South Africa)
• Elle Wang (Columbia, USA)
• Adriana G. Wilde (University of Southampton, UK)
We would also like to thanks colleagues who provided feedback and comments to the
various drafts of this Proceedings and the valuable contributions of all who took part in
these workshops at the LAK conference
3
Table of content
Foreword
By Lorenzo Vigentini and Yuan Wang………………………………………….. I-II
PART 1
FutureLearn data: what we currently have, what we are learning and how it is
demonstrating learning in MOOCs.
editors Lorenzo Vigentini and Manuel León Urrutia
FutureLearn data: what we currently have, what we are learning and how it is demons-
trating learning in MOOCs.
Lorenzo Vigentini, Manuel León Urrutia & Ben Fields……………………….... 2
The University of Southampton MOOC Observatory Dashboard
Manuel León-Urrutia and Darron Tang………………………………………….. 8
Dynamic dashboard for educators and students in FutureLearn MOOCs: experiences
and insights
Lorenzo Vigentini, Andrew Clayphan, Mahsa Chitsaz…………..……………… 20
Discussion Analytics: Identifying Conversations and Social Learners in FutureLearn
MOOCs
Shi Min Chua, Caroline Tagg, Mike Sharples, Bart Rienties……………...…….. 36
Data Analytics Informing MOOC Continuous Improvement
John Vulic, Mahsa Chitsaz, Ganga Prusty & Robin Ford……………………...…. 63
Predicting attrition from Massive Open Online Courses in FutureLearn and edX
Ruth Cobos, Adriana Wilde & Ed Zaluska…………………...…………...……... 74
PART 2
Workshop on Integrated Learning Analytics of MOOC Post-Course Development
editors Yuan Wang, Dan Davis, Guanliang Chen & Luc Paquette
Workshop on Integrated Learning Analytics of MOOC Post-Course Development
Yuan Wang, Dan Davis, Guanliang Chen & Luc Paquette………………..…..… 95
Behavioral Predictors of MOOC Post-Course Development
Yuan Wang, Ryan S. Baker, Luc Paquette…………………..………………....… 100
Habits of Highly Successful Professional Learners and the Corresponding Online
Curriculum
Rob Rubin, Alicia Redmond, Gregory Weber & Gulrez Khan………………..… 112
Public Participation in Environmental Stewardship after MOOCs
Yue Li, Marianne Krasny, Yuan Wang & Lei Zhang……………….………..… 122
Engaging MOOC Learners as Lifelong Collaborators
Christopher Brooks, Rebecca Quintana & Hui Liang…………………….…..… 125