An Open edX Extension for Parallel Programming Assignments with Automatic Configurable Grading

Authors

DOI:

https://doi.org/10.3991/ijep.v11i4.20097

Keywords:

parallel programming, automatic grading, Open edX

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.

Author Biographies

Luis Germán García, Universidad de Antioquia

Assistant professor Department of Electronics and Telecommunications Engineering

Emanuel Montoya, Universidad de Antioquia

Researcher Department of Electronics and Telecommunications Engineering

Sebastian Isaza, Universidad de Antioquia

Associate professor Department of Electronics and Telecommunications Engineering

Ricardo A. Velasquez, Universidad de Antioquia

Associate professor Department of Electronics and Telecommunications Engineering

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Published

2021-07-09

How to Cite

García, L. G., Montoya, E., Isaza, S., & Velasquez, R. A. (2021). An Open edX Extension for Parallel Programming Assignments with Automatic Configurable Grading. International Journal of Engineering Pedagogy (iJEP), 11(4), pp. 7–22. https://doi.org/10.3991/ijep.v11i4.20097

Issue

Vol. 11 No. 4 (2021)

Section

Papers

License

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