2019
DOI: 10.3390/s19245467
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Block-Based Development of Mobile Learning Experiences for the Internet of Things

Abstract: 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… Show more

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Cited by 13 publications
(6 citation statements)
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“…For example, Ruiz‐Rube et al. ( 2019 ) conducted a mobile technology–based activity in a training program on the Internet of Things. Radosavljevic et al.…”
Section: Literature Reviewmentioning
confidence: 99%
“…For example, Ruiz‐Rube et al. ( 2019 ) conducted a mobile technology–based activity in a training program on the Internet of Things. Radosavljevic et al.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Mobile learning can adapt local wisdom so that learning is more interactive and able to improve students' physics argumentation skills (Liliarti & Kuswanto, 2018). Some physics learning topics that are difficult for students to imagine can be made an interactive application or platform, from research by Mardiana & Kuswanto, (2017);Criollo-C et al, (2021); Tan & Heh., (2019);Ruiz-Rube et al, (2019) with the development of interactive applications for mobile learning, can improve critical thinking and problem solving skills, and students show positive responses, more active, high level of satisfaction. Interactive media can trigger positive mental health and increase students' selfconfidence (Gharaibeh & Gharaibeh, 2020;Gasah et al, 2020).…”
Section: Literature Review Of Mobile Web and E-learning For Physics L...mentioning
confidence: 99%
“…Furthermore, the features and functionalities, such as animations and movements, have not been developed in the current version. Another line of research utilizing VEDILS was introduced by Ruiz-Rube et al [35], where the researchers incorporated streaming data components for programming in the context of the Internet Of Things.…”
Section: Related Workmentioning
confidence: 99%