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Model thinking: demographics and performance of mooc students unable to afford a formal education

Published:04 March 2014Publication History

ABSTRACT

Massive Open Online Courses (MOOCs) are seen as an opportunity for individuals to gain access to education, develop new skills to prepare for high-paying jobs, and achieve upward mobility without incurring the increasingly high debt that comes with a university degree. Despite this perception, few studies have examined whether populations with the most to gain do leverage these resources. We analyzed student demographic information from course surveys and performance data of MOOC participation in a single course. We targeted students who stated that they were motivated to take the course because they "cannot afford to pursue a formal education," and compared them to the group of all other students. Our three key findings are that 1) a higher percentage of non-traditional enrolled students are in this population than the comparison population, 2) in an independent t-test, a statistically significant portion (28%) of this group has less than a 4-year college degree versus 15% of the comparison group, and 3) the completion rate between both groups are relatively equal.

References

  1. Christensen, G., Steinmetz, A., Alcorn, B., Bennett, A., Woods, D., Emanuel, E. The MOOC Phenomenon: Who Takes Massive Open Online Courses and Why? (November 6, 2013).Google ScholarGoogle Scholar
  2. Kossoff, J. (2013, March 21). Can MOOCs Really Help You Get a Job? Simply Hired Blog. Retrieved on 6/26/2013, http://goo.gl/QXAnM.Google ScholarGoogle Scholar
  3. McMurrer, D. and Sawhill, I. (1996). How Much Do Americans Move Up and Down the Economic Ladder? Washington, DC: Urban Institute.Google ScholarGoogle Scholar
  4. Waldron, K. Access to college means access to economic mobility for America's underserved. (2007). Diverse Issues in Higher Education. 24(2).Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      L@S '14: Proceedings of the first ACM conference on Learning @ scale conference
      March 2014
      234 pages
      ISBN:9781450326698
      DOI:10.1145/2556325

      Copyright © 2014 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 4 March 2014

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      Acceptance Rates

      L@S '14 Paper Acceptance Rate14of38submissions,37%Overall Acceptance Rate117of440submissions,27%

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      July 18 - 20, 2024
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