A triumvirate blended learning method for embedded computational devices used in the Internet of Things: A case study

Wachira, Kinyua; Absaloms, Heywood; Mbuthia, Jackson Mwangi

doi:10.1109/icitisee.2017.8285557

Cited by 3 publications

References 17 publications

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Understanding the role of single‐board computers in engineering and computer science education: A systematic literature review

Ariza

Baez

2021

Comput Appl Eng Educ

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In the last decade, single‐board computers (SBCs) have been employed more frequently in engineering and computer science (CS) at both technical and educational levels. These devices are of importance to educators and students due to several factors such as the versatility, the low cost, and the possibility to enhance the learning process through technology. However, the implications, possibilities, and constraints of these devices in engineering and CS education have not been explored in detail. In this systematic literature review, we explore how the SBCs are employed in engineering and CS and what educational results are derived from their usage in the period 2010–2020 at tertiary education level. For this, 154 studies were selected out of n = 605 collected from the academic databases Ei Compendex, Inspec, and ERIC. The analysis was carried out in two phases, identifying, for example, areas of application, learning outcomes, and students' and researchers' perceptions. The results of the review mainly indicate the following aspects: (1) The areas of laboratories and e‐learning, computing education, robotics, Internet of Things, and persons with disabilities gather the studies in the review. (2) Researchers highlight the importance of the SBCs to transform the curricula in engineering and CS for the students to learn complex topics through experimentation in hands‐on activities. (3) The typical cognitive learning outcomes reported by the authors are the improvement of the students' grades and the technical skills regarding the topics in the courses. Concerning the affective learning outcomes, the increase of interest, motivation, and engagement is commonly reported by the authors.

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Understanding the role of single‐board computers in engineering and computer science education: A systematic literature review

Ariza

Baez

2021

Comput Appl Eng Educ

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Quantum-Inspired Heuristic Algorithm for Secure Healthcare Prediction Using Blockchain Technology

Mazumdar

Chakraborty

Venkatakrishnan

et al. 2024

IEEE J. Biomed. Health Inform.

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Quantum-Inspired Optimization in AI for Healthcare Networks

Arya,

Devadas,

Lakshmi

et al. 2024

Advances in Computational Intelligence and Robotics

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Quantum mechanics-inspired optimisation techniques show hope for getting past these problems because they quickly look through the solution space by using ideas from quantum computers. The main focus of this research is on improving healthcare networks that are run by AI, with help from quantum physics. When it comes to healthcare network optimisation, the first things that are talked about are allocating resources, planning routes for patients and medical staff and tools, and making plans for treatment. This essay looks at the pros and cons of these methods and how they might be used to solve different planning problems in healthcare networks. In the end of this research, the interesting role of quantum mechanics-based planning in the creation of AI applications for healthcare networks is explained. This could lead to future healthcare systems that are more sensitive, flexible, and effective.

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A triumvirate blended learning method for embedded computational devices used in the Internet of Things: A case study

Cited by 3 publications

References 17 publications

Understanding the role of single‐board computers in engineering and computer science education: A systematic literature review

Understanding the role of single‐board computers in engineering and computer science education: A systematic literature review

Quantum-Inspired Heuristic Algorithm for Secure Healthcare Prediction Using Blockchain Technology

Quantum-Inspired Optimization in AI for Healthcare Networks

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