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

Zhong, Xiaoyang; Liang, Yao

doi:10.3390/electronics5030056

Cited by 58 publications

(30 citation statements)

References 19 publications

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“…Some initiatives and educational projects were carried out in order to teach IoT technologies for undergraduate and university students [20,21]. For example, in a project-based teaching and learning approach conceived for an IoT course [22], Raspberry Pi is used to devise and implement IoT designs. Other project-based learning courses for learning wired and wireless networking techniques have been offered to electrical and computer engineering students [23].…”

Section: Initiatives For Learning and Developing Iot Solutionsmentioning

confidence: 99%

Block-Based Development of Mobile Learning Experiences for the Internet of Things

Ruiz-Rube

Mota

Person

et al. 2019

Sensors

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The Internet of Things enables experts of given domains to create smart user experiences for interacting with the environment. However, development of such experiences requires strong programming skills, which are challenging to develop for non-technical users. This paper presents several extensions to the block-based programming language used in App Inventor to make the creation of mobile apps for smart learning experiences less challenging. Such apps are used to process and graphically represent data streams from sensors by applying map-reduce operations. A workshop with students without previous experience with Internet of Things (IoT) and mobile app programming was conducted to evaluate the propositions. As a result, students were able to create small IoT apps that ingest, process and visually represent data in a simpler form as using App Inventor's standard features. Besides, an experimental study was carried out in a mobile app development course with academics of diverse disciplines. Results showed it was faster and easier for novice programmers to develop the proposed app using new stream processing blocks.

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Section: Initiatives For Learning and Developing Iot Solutionsmentioning

confidence: 99%

Block-Based Development of Mobile Learning Experiences for the Internet of Things

Ruiz-Rube

Mota

Person

et al. 2019

Sensors

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“…However, the user interaction is based on computer applications, not on physical interfaces. (Zhong and Liang 2016) present an outline of a course on Internet of Things concepts using the Raspberry Pi platform. They present examples of some projects that students can achieve, but, as in previous cases, the focus is on the electronics and not in the physicalization of data.…”

Section: Iced19mentioning

confidence: 99%

Data Materialisation: A New Undergraduate Course for a Data Driven Society

Beghelli¹,

Huerta-Cánepa²,

Segal³

2019

Proc. Int. Conf. Eng. Des.

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Traditionally, data has been presented in textual format and the interaction with the user confined to the keyboard or touch screen to input data and the screen to deliver information. However, with the advent of a data-driven society, an opportunity for more natural and efficient ways of presenting data and interacting with it has emerged. Although the area of Human-Computer Interaction has existed for a long time, its focus has always been on the interaction with an artefact (the computer). Today instead, we face the challenge of interacting with an intangible object: data. As a result, a key requirement emerges: How do we make legible the enormous amounts of data produced per day to ordinary people? Designers, able to devise natural and smooth interaction experiences, should play a relevant role in this new scenario. However, they might lack the basic technical knowledge required to understand the possibilities of these new systems. In this paper we present a brief how-to manual for an undergraduate course on data materialisation: the process of transforming an intangible object (data) in an artefact that can be interacted with in a physical way.

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“…This includes both hardware and software, in a range of educational and research facilities [4][5][6]; many of the other publications included in this Special Issue address specific trends. For example, with the availability of low-cost computing, we are seeing a change in architectures, whereby computing is pushed towards the edge of the network [7,8] .…”

Section: Special Issue On Raspberry Pi Technologymentioning

confidence: 99%

“…The Raspberry Pi is a powerful prototyping platform, and many of the articles in this Special Issue are constructing prototypes [6,11,[17][18][19].The idea of a prototype implies a partial implementation of all the desired features, but there is often a need to build a fully functional prototype [12,22].…”

Section: Pi the Prototypementioning

confidence: 99%