Supporting Instructors in Collaborating with Researchers Using MOOClets

4 Pages Posted: 20 Mar 2015

See all articles by Joseph Williams

Joseph Williams

National University of Singapore

Juho Kim

Massachusetts Institute of Technology (MIT) - MIT Computer Science and Artificial Intelligence Laboratory

Brian Keegan

University of Colorado Boulder

Date Written: March 18, 2015

Abstract

Most education and workplace learning takes place in classroom contexts far removed from laboratories or field sites with special arrangements for scientific research. But digital online resources provide a novel opportunity for large-scale efforts to bridge the real world and laboratory settings which support data collection and randomized A/B experiments comparing different versions of content or interactions. However, there are substantial technological and practical barriers in aligning instructors and researchers to use learning technologies like blended lessons/exercises & MOOCs as both a service for students and a realistic context to conduct research.

This paper explains how the concept of a “MOOClet” can facilitate research-practitioner collaborations. MOOClets are defined as modular components of a digital resource that can be implemented in technology to: (1) allow modification to create multiple versions, (2) allow experimental comparison and personalization of different versions, (3) reliably specify what data are collected. We suggest a framework in which instructors specify what kinds of changes to lessons, exercises, and emails they would be willing to adopt, and what data they will collect and make available. Researchers can then: (1) specify or design experiments that compare the effects of different versions on quantifiable outcomes. (2) Explore algorithms for maximizing.

Suggested Citation

Williams, Joseph and Kim, Juho and Keegan, Brian, Supporting Instructors in Collaborating with Researchers Using MOOClets (March 18, 2015). Available at SSRN: https://ssrn.com/abstract=2580666 or http://dx.doi.org/10.2139/ssrn.2580666

Joseph Williams (Contact Author)

National University of Singapore ( email )

Singapore

HOME PAGE: http://www.josephjaywilliams.com/

Juho Kim

Massachusetts Institute of Technology (MIT) - MIT Computer Science and Artificial Intelligence Laboratory ( email )

32 Vassar Street
Cambridge, MA 02139
United States

HOME PAGE: http://www.juhokim.com/

Brian Keegan

University of Colorado Boulder ( email )

1070 Edinboro Drive
Boulder, CO 80309
United States

HOME PAGE: http://www.colorado.edu/cmci/people/information-science/brian-c-keegan

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