Door and light control prototype using Intel Galileo based Internet of Things: (Case study: Embedded and robotics laboratory, department of computer engineering, Diponegoro University)

Coding is increasingly recognized as a new literacy that should be encouraged at a young age. This understanding has recontextualized computer science as a compulsory school subject and has informed several developmentally appropriate approaches to computation, including for preschool children. This study focuses on the introduction of three approaches to computation in preschool (3–6 years), specifically computational thinking, programming, and robotics, from a cross-curricular perspective. This paper presents preliminary findings from one of the case studies currently being developed as part of project KML II—Laboratory of Technologies and Learning of Programming and Robotics for Preschool and Elementary School. The purpose of the KML II project is to characterize how approaches to computation can be integrated into preschool and elementary education, across different knowledge domains. The conclusions point to “expression and communication” as an initial framework for computational approaches in preschool, but also to multidisciplinary and more creative methodological activities that offer greater scope for the development of digital and computational competences, as well as for personal and social development.

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Communications and Robotics Simulation in UAVs: A Case Study on Aerial Synthetic Aperture Antennas

IEEE Communications Magazine ◽

10.1109/mcom.001.2000496 ◽

2021 ◽

Vol 59 (1) ◽

pp. 22-27

Author(s):

Miguel Calvo-Fullana ◽

Alexander Pyattaev ◽

Daniel Mox ◽

Sergey Andreev ◽

Alejandro Ribeiro

Keyword(s):

Synthetic Aperture ◽

Aperture Antennas ◽

And Robotics

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Machine Learning and LPWAN Based Internet of Things Applications in Healthcare Sector during COVID-19 Pandemic

Electronics ◽

10.3390/electronics10141615 ◽

2021 ◽

Vol 10 (14) ◽

pp. 1615

Author(s):

Zeeshan Ali Khan ◽

Ubaid Abbasi ◽

Sung Won Kim

Keyword(s):

Machine Learning ◽

Internet Of Things ◽

Healthcare Services ◽

Healthcare Sector ◽

K Nearest Neighbors ◽

Iot Applications ◽

Processing Resources ◽

Multiple Services ◽

Applications Of Machine Learning

Low power wide area networks (LPWAN) are comprised of small devices having restricted processing resources and limited energy budget. These devices are connected with each other using communication protocols. Considering their available resources, these devices can be used in a number of different Internet of Things (IoT) applications. Another interesting paradigm is machine learning, which can also be integrated with LPWAN technology to embed intelligence into these IoT applications. These machine learning-based applications combine intelligence with LPWAN and prove to be a useful tool. One such IoT application is in the medical field, where they can be used to provide multiple services. In the scenario of the COVID-19 pandemic, the importance of LPWAN-based medical services has gained particular attention. This article describes various COVID-19-related healthcare services, using the the applications of machine learning and LPWAN in improving the medical domain during the current COVID-19 pandemic. We validate our idea with the help of a case study that describes a way to reduce the spread of any pandemic using LPWAN technology and machine learning. The case study compares k-Nearest Neighbors (KNN) and trust-based algorithms for mitigating the flow of virus spread. The simulation results show the effectiveness of KNN for curtailing the COVID-19 spread.

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Teacher Perspectives on Teaching the STEM Approach to Educational Coding and Robotics in Primary Education

Education Sciences ◽

10.3390/educsci11020064 ◽

2021 ◽

Vol 11 (2) ◽

pp. 64

Author(s):

Christian García-Carrillo ◽

Ileana María Greca ◽

María Fernández-Hawrylak

Keyword(s):

Primary Education ◽

Classroom Practice ◽

Integrated Approach ◽

Practical Training ◽

Training Process ◽

Integrated Stem ◽

Teaching Learning ◽

And Robotics ◽

Insight Into

An analysis is presented in this study that provides insight into a practical training process and its impact on teachers and their viewpoints toward the integrated STEM approach used in that training process, together with educational coding and robotics, over the first years of compulsory primary education, where STEM implementations are relatively new. A case study was developed by two teachers following the practical training course, including pre- and post-interviews and nonparticipative observation of their classroom practices during the teacher-training sessions. The results revealed the positive perspectives that the teachers held toward the STEM-integrated approach and educational coding and robotics, despite the difficulties that arose in classroom practice. It was concluded that the STEM approach and its methods were beneficial both to pupils and to teachers alike for improving the teaching–learning process.

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