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Courses, Content, and Tools for Internet of Things in Computer Science Education

Authors:

Monica Divitini,

Felix Armando Fermin Perez,

Ingrid Russell,

Liviana TudorAuthors Info & Claims

ITiCSE-WGR '17: Proceedings of the 2017 ITiCSE Conference on Working Group Reports

Pages 125 - 139

https://doi.org/10.1145/3174781.3174788

Published: 30 January 2018 Publication History

Abstract

Smart devices are everywhere, yet the Internet of Things revolution is still in its infancy. In the Internet of Things (IoT) everyday objects share data over networks, with or without human intervention. Teaching IoT entails selecting among many technical and social topics, such as hardware, networking, data storage, data analysis, data presentation, human-computer interaction, platforms, embedded systems programming, web technologies, ethics, privacy, and security. In addition to the many variations on each of these topics, other challenges for computer science educators include connecting and integrating hardware and software, finding adequate physical space and infrastructure, preparing instructors and teaching assistants for the content, and implementing realistic security measures. This report considers four major approaches computer science educators are using to integrate IoT concepts and courses into their curricula, summarizes the choices and challenges related to teaching IoT, and describes some tools that allow new IoT teachers to get started.

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https://doi.org/10.4018/979-8-3693-3045-6.ch001
Doargajudhur MNaraidoo SZaung N(2024)Assessment AuthenticityCases on Authentic Assessment in Higher Education10.4018/979-8-3693-1001-4.ch003(37-65)Online publication date: 30-Jun-2024
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Gallon LSalameh KChbeir RBachir SAniorté P(2024)Educational Cyber–Physical Systems (ECPSs) for University 4.0Information10.3390/info1512079015:12(790)Online publication date: 9-Dec-2024
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Index Terms

Courses, Content, and Tools for Internet of Things in Computer Science Education
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computational science and engineering education
        Computer engineering education
        Computer science education

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cover image ACM Conferences

ITiCSE-WGR '17: Proceedings of the 2017 ITiCSE Conference on Working Group Reports

January 2018

162 pages

ISBN:9781450356275

DOI:10.1145/3174781

General Chairs:
Judithe Sheard
Monash University, Australia
,
Ari Korhonen
Aalto Univerisity, Finland

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 30 January 2018

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July 3 - 5, 2017

Bologna, Italy

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ITiCSE-WGR '17 Paper Acceptance Rate 8 of 16 submissions, 50%;

Overall Acceptance Rate 552 of 1,613 submissions, 34%

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https://doi.org/10.4018/979-8-3693-3045-6.ch001
Doargajudhur MNaraidoo SZaung N(2024)Assessment AuthenticityCases on Authentic Assessment in Higher Education10.4018/979-8-3693-1001-4.ch003(37-65)Online publication date: 30-Jun-2024
https://doi.org/10.4018/979-8-3693-1001-4.ch003
Gallon LSalameh KChbeir RBachir SAniorté P(2024)Educational Cyber–Physical Systems (ECPSs) for University 4.0Information10.3390/info1512079015:12(790)Online publication date: 9-Dec-2024
https://doi.org/10.3390/info15120790
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