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Remote pair programming (RPP) in massively open online courses (MOOCs)

Published: 21 June 2014 Publication History

Abstract

Pair programming, a form of collaborative learning where two programmers work on the same computer, enhances learning in novice programmers and improves code quality in experienced programmers. Remote pair programming (RPP) brings the pedagogical technique of pair programming to the distributed online environment of Massively Open Online Courses (MOOCs). edX's CS169 Software as a Service MOOC successfully uses a Google+ community for students to generate their own RPP events or join events created by their peers. This paper examines survey results summarizing the RPP experiences and RPP technologies of student pairings in the Fall 2013 offering of CS169. In the future, the aim is to generalize RPP methodology through analyzing RPP sessions, expand applications of RPP to other MOOCs and traditional classrooms, and compare its effectiveness to in-person pair programming.

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  • (2018)Exploring Perceived Value Creation of MOOCs Service Systems - A Preliminary InvestigationInnovative Technologies and Learning10.1007/978-3-319-99737-7_54(510-517)Online publication date: 6-Sep-2018

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cover image ACM Conferences
ITiCSE '14: Proceedings of the 2014 conference on Innovation & technology in computer science education
June 2014
378 pages
ISBN:9781450328333
DOI:10.1145/2591708
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: 21 June 2014

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Author Tags

  1. CS education
  2. MOOC
  3. RPP
  4. collaborative learning
  5. distributed pair programing
  6. massively open online course
  7. online education
  8. remote pair programming
  9. virtual pair programming

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ITICSE '14
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ITiCSE '14 Paper Acceptance Rate 36 of 164 submissions, 22%;
Overall Acceptance Rate 552 of 1,613 submissions, 34%

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Cited By

View all
  • (2018)Exploring Perceived Value Creation of MOOCs Service Systems - A Preliminary InvestigationInnovative Technologies and Learning10.1007/978-3-319-99737-7_54(510-517)Online publication date: 6-Sep-2018

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