abstract

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

Authors:

Jonathan McKinsey,

Samuel Joseph,

Armando Fox,

Daniel D. GarciaAuthors Info & Claims

SIGCSE '14: Proceedings of the 45th ACM technical symposium on Computer science education

Page 725

https://doi.org/10.1145/2538862.2544320

Published: 05 March 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). UC BerkeleyX'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. We will examine survey results summarizing the RPP experiences and RPP technologies of student pairings in the Fall 2013 offering of CS169, as well as analyze RPP sessions. In the future, the aim is to generalize RPP methodology, expand its applications to other MOOCs and traditional classrooms, and compare its effectiveness to in-person pair programming.

Index Terms

Remote pair programming (RPP) in massively open online courses (MOOCs) (abstract only)
1. Applied computing
  1. Education
2. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
        Information science education

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Published In

SIGCSE '14: Proceedings of the 45th ACM technical symposium on Computer science education

March 2014

800 pages

ISBN:9781450326056

DOI:10.1145/2538862

Conference Chairs:
J. D. Dougherty
J.D. Dougherty, Haverford College
,
Kris Nagel
Georgia Gwinnett College
,
Program Chairs:
Adrienne Decker
Rochester Institute of Technology
,
Kurt Eiselt
University of British Columbia

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.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 March 2014

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Abstract

Conference

SIGCSE '14

Sponsor:

SIGCSE

SIGCSE '14: The 45th ACM Technical Symposium on Computer Science Education

March 5 - 8, 2014

Georgia, Atlanta, USA

Acceptance Rates

SIGCSE '14 Paper Acceptance Rate 108 of 274 submissions, 39%;

Overall Acceptance Rate 1,787 of 5,146 submissions, 35%

Index Terms

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