An Open edX extension for parallel programming assignments with automatic configurable grading

Luis German Garcia, Emanuel Montoya, Sebastian Isaza, Ricardo A. Velasquez

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Computing devices of all types have almost converged to using central processing units featuring multiple processing cores. In order to develop efficient software for such devices, programmers need to learn how to write parallel programs. We present an infrastructure to support parallel programming assignments for online courses. We developed an extension to the Open edX platform with a backend that handles the execution of student codes on a cluster lab. The web user interface offers instructors a wide range of configuration options for the programming assignments as well as a flexible definition of criteria for automatic grading. We have successfully integrated the software with Open edX and tested it with a real parallel programming cluster lab.

Original languageEnglish (US)
Pages (from-to)7-22
Number of pages16
JournalInternational Journal of Engineering Pedagogy
Volume11
Issue number44
DOIs
StatePublished - 2021
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Education
  • General Engineering

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