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Electronics 2016, 5(3), 56; doi:10.3390/electronics5030056

Raspberry Pi: An Effective Vehicle in Teaching the Internet of Things in Computer Science and Engineering

Department of Computer and Information Science, Indiana University Purdue University Indianapolis, 723 W. Michigan St., Indianapolis, IN 46202, USA
Author to whom correspondence should be addressed.
Academic Editors: Simon J. Cox and Steven J. Johnston
Received: 1 May 2016 / Revised: 1 September 2016 / Accepted: 8 September 2016 / Published: 13 September 2016
(This article belongs to the Special Issue Raspberry Pi Technology)
View Full-Text   |   Download PDF [3342 KB, uploaded 13 September 2016]   |  


The Raspberry Pi is being increasingly adopted as a suitable platform in both research and applications of the Internet of Things (IoT). This study presents a novel project-based teaching and learning approach devised in an Internet of Things course for undergraduate students in the computer science major, where the Raspberry Pi platform is used as an effective vehicle to greatly enhance students’ learning performance and experience. The devised course begins with learning simple hardware and moves to building a whole prototype system. This paper illustrates the outcome of the proposed approach by demonstrating the prototype IoT systems designed and developed by students at the end of one such IoT course. Furthermore, this study provides insights and lessons regarding how to facilitate the use of the Raspberry Pi platform to successfully achieve the goals of project-based teaching and learning in IoT. View Full-Text
Keywords: Internet of Things; Raspberry Pi; project-based learning; prototype development Internet of Things; Raspberry Pi; project-based learning; prototype development

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhong, X.; Liang, Y. Raspberry Pi: An Effective Vehicle in Teaching the Internet of Things in Computer Science and Engineering. Electronics 2016, 5, 56.

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