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AERA 2016
Washington, DC
How do learners in MOOCs attempt to resolve
challenges they face?
George Veletsianos, Justin Reich, Laura Pasquini
Royal Roads University, MIT, U of North TX
Attrition and Persistence
•  Greatest attention in the MOOC literature
•  We know that students stop, we know a bit
about why they stop (e.g., time), but we
don’t know how they respond to
challenges generally.
•  Although promising, Data Mining and Big
Data methodologies have generated very
few insights
Bob
Bob
Bob
Bob
The unresolved question that we
sought to answer…
How do learners attempt to resolve challenges
they face?
In what ways do they self-remediate?
How do these strategies relate to Big Data?
The study
4 HarvardX courses
30-45 minute skype interviews
4 semi-structured interview protocols
92 individuals
•  22 – 81 yrs old (mean=45)
•  63M / 29F
•  N America (>50%), Europe, (>25%), S
America, Asia, Africa, Australia.
Analytic methods
Analysis
Identify passages describing how learners
attempt to resolve challenges they are facing
3 researchers à Constant comparative
process
Codes (62, 58, 39 unique codes)	à themes
The results
Challenges
Time
Intellectual difficulties
How were these resolved?
3 Themes
The results
Illustra)on:	NY	)mes:	h2p://well.blogs.ny)mes.com/2013/09/19/what-a-messy-desk-says-about-you/?_r=	0
The results
Broader	context	
Broader	online	
environment	
At their
workstations
The results
Broader	context	
Within the broader
online environment	
At their workstations
The results
Within the broader
context of their life	
Within the broader
online environment	
At their workstations
Implications
Stopping as a self-remediation strategy
“Success” is complicated
Methodological diversity
Designing interventions to support learners
•  Consider courses as network nodes
•  Notetaking strategies
We’d love your feedback!
This presentation: www.slideshare.com/veletsianos
Thank you

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How do learners in MOOCs attempt to resolve challenges they face?