DIY Smart Home: The Development of an Exemplary Internet of Things Infrastructure for Computer Science Education

The Internet of Things (IoT) content and curricula is a recently emerged trend for computer science and software engineering educators. IoT as a paradigm is often described as an all-encompassing new phenomenon covering homes, industries, governments, and the environment. For that reason, IoT topics have become a part of computer science and software engineering programs. Existing research has been conducted on the development of IoT curricula but as this work is fairly recent the evaluation of those approaches requires further work. This paper presents a case study from a capstone course within a three-course IoT specialization. We evaluate student capstone projects using the thematic analysis method in order to assess our IoT specialization studies. As a result, we present an overview of how the students see the IoT, and what kind of IoT projects they design and implement. Most often the student projects implemented home automation projects. Often these prototypes lacked connectivity and communication capabilities to other systems. An IoT characteristic that is most rarely seen in student projects is 'physical actions in the environment. ' CCS CONCEPTS• Social and professional topics → Computing education.

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“…Different approaches to designing IoT courses or integrating IoT into existing curricula have been published, e.g. [12,15,16,19].…”

Section: Research Gapmentioning

confidence: 99%

How Well do Students Understand the All-Encompassing, Ubiquitous, and Interconnected Nature of IoT?

Hynninen

Knutas

2022

Proceedings of the 53rd ACM Technical Symposium on Computer Science Education

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“…Furthermore, Fandrich et al [15] propose a fast-prototyping kit based on three main platforms: the 32-bit microcontroller ESP8266 used to connect sensors, the Raspberry Pi 4 board used as central unit and the Node-RED framework used for linking all the components. In addition, all the communications have been run through the MQTT protocol.…”

Section: Related Workmentioning

confidence: 99%

Fast-prototyping Approach to Design and Validate Architectures for Smart Home

Montanaro

Sergi

Bisanti

et al. 2021

JCOMSS

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The Internet of Things has contributed to make smarter houses and buildings in the last decades. Different existing works already integrate IoT technologies in homes, but end-user needs continuously change and researchers must face this challenge in identifying platforms to fast prototype solutions satisfying these new needs. This paper presents a solution that demonstrates how well-known fast-prototyping technologies like Node-RED, IBM Watson, Telegram, Raspberry Pi 4, and secured MQTT can contribute to develop complex systems facing the challenge. The selected tools are used within a smart home context to support features inspired by people needs and allow users to: a) consult real time conditions (i.e., temperature, humidity, gas), b) remotely manage lights, c) save energy through a light management system based on user movements, d) remotely monitor the house through dedicated webcams, e) generate warning notifications in case of danger. Users can interact with the systems through a web Node-RED dashboard and a Telegram bot. Differently from existing works, the feasibility of the implemented system and the efficacy of the exploited platforms are demonstrated through a running scenario extracted from a consolidated study on user needs in smart homes. The performed experiment can facilitate the fast prototyping of new solutions.

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Multi-stage Prototyping for Introducing IoT Concepts: A Case Study

Štuikys,

Burbaitė

2024

Evolution of STEM-Driven Computer Science Education

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DIY Smart Home: The Development of an Exemplary Internet of Things Infrastructure for Computer Science Education

Cited by 5 publications

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How Well do Students Understand the All-Encompassing, Ubiquitous, and Interconnected Nature of IoT?

How Well do Students Understand the All-Encompassing, Ubiquitous, and Interconnected Nature of IoT?

Fast-prototyping Approach to Design and Validate Architectures for Smart Home

Multi-stage Prototyping for Introducing IoT Concepts: A Case Study

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