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Changing “Course”

Reconceptualizing Educational Variables for Massive Open Online Courses

Bibliographic Data

ID9735181
AuthorsJennifer DeBoer (0000-0003-0877-6244, Massachusetts Institute of Technology, corresponding author), Andrew D Ho (Harvard Graduate School of Education), Andrew Ho (0000-0003-1287-9844, Harvard University), Glenda S Stump (Massachusetts Institute of Technology), Glenda Stump (0000-0001-6542-6393, Massachusetts Institute of Technology), Lori Breslow (Massachusetts Institute of Technology)
Year2014
Volume43
Issue2
Pages74-84
Publication date2014-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducational Researcher (JOURNAL)
Journal identifiersISSN: 0013-189X • E-ISSN: 1935-102X
PublisherAmerican Educational Research Association (AERA) (PUBLISHER)
DOI10.3102/0013189x14523038
OpenAlexW2115903838
LanguageEN
Citations received33
References cited25

In massive open online courses (MOOCs), low barriers to registration attract large numbers of students with diverse interests and backgrounds, and student use of course content is asynchronous and unconstrained. The authors argue that MOOC data are not only plentiful and different in kind but require reconceptualization—new educational variables or different interpretations of existing variables. The authors illustrate this by demonstrating the inadequacy or insufficiency of conventional interpretations of four variables for quantitative analysis and reporting: enrollment, participation, curriculum, and achievement. Drawing from 230 million clicks from 154,763 registrants for a prototypical MOOC offering in 2012, the authors present new approaches to describing and understanding user behavior in this emerging educational context

Asynchronous communication · Content analysis · Context (archaeology · Course (navigation · Curriculum · Distance education · Geography · Massive open online course · Mathematics education · Pedagogy · Social science · Sociology · Computer Science · Engineering · Online and Blended Learning · Online Learning and Analytics · Psychology

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Unique citing works33
Citations per year2,75
Citation span2014 - 2026 (13)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 33

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