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An Interactive, Graphical Simulator for Teaching Operating Systems

Published:22 February 2019Publication History

ABSTRACT

We demonstrate a graphical simulation tool for visually and interactively exploring the processing of a variety of events handled by an operating system when running a program. Our graphical simulator is available for use on the web by both instructors and students for purposes of pedagogy. Instructors can use it for live demonstrations of course concepts in class, while students can use it outside of class to explore the concepts. The graphical simulation tool is implemented using the React library for the fancy UI elements of the Node.js framework and is available as a web application at https://cpudemo.azurewebsites.net. The goals of this demonstration are to showcase the demonstrative capabilities of the tool for instruction, share student experiences in developing the engine underlying the simulation, and to inspire its use by other educators. An article describing this software simulation and demonstrating its pedagogical capabilities is available at https://arxiv.org/abs/1812.05160.

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  1. An Interactive, Graphical Simulator for Teaching Operating Systems

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    • Published in

      cover image ACM Conferences
      SIGCSE '19: Proceedings of the 50th ACM Technical Symposium on Computer Science Education
      February 2019
      1364 pages
      ISBN:9781450358903
      DOI:10.1145/3287324

      Copyright © 2019 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.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 22 February 2019

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      • abstract

      Acceptance Rates

      SIGCSE '19 Paper Acceptance Rate169of526submissions,32%Overall Acceptance Rate1,595of4,542submissions,35%

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