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A smart learning ecosystem design for delivering Data-driven Thinking in STEM education
This paper proposes an Internet of Things device (IoT)-based ecosystem that can be leveraged to provide children and adolescent students with STEM educational activities. Our framework is general and scalable, covering multi-stakeholder partnerships, learning outcomes, educational program design and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276230/ http://dx.doi.org/10.1186/s40561-021-00153-y |
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author | Benita, Francisco Virupaksha, Darshan Wilhelm, Erik Tunçer, Bige |
author_facet | Benita, Francisco Virupaksha, Darshan Wilhelm, Erik Tunçer, Bige |
author_sort | Benita, Francisco |
collection | PubMed |
description | This paper proposes an Internet of Things device (IoT)-based ecosystem that can be leveraged to provide children and adolescent students with STEM educational activities. Our framework is general and scalable, covering multi-stakeholder partnerships, learning outcomes, educational program design and technical architecture. We highlight the importance of bringing Data-driven Thinking to the core of the learning environment as it leads to collaborative learning experience and the development of specific STEM skills such as problem-finding and solving, cognitive, analytical thinking, spatial skills, mental manipulation of objects, organization, leadership, management, and so on. A successful case study in Singapore involving tens of thousands of students is presented. |
format | Online Article Text |
id | pubmed-8276230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-82762302021-07-14 A smart learning ecosystem design for delivering Data-driven Thinking in STEM education Benita, Francisco Virupaksha, Darshan Wilhelm, Erik Tunçer, Bige Smart Learn. Environ. Research This paper proposes an Internet of Things device (IoT)-based ecosystem that can be leveraged to provide children and adolescent students with STEM educational activities. Our framework is general and scalable, covering multi-stakeholder partnerships, learning outcomes, educational program design and technical architecture. We highlight the importance of bringing Data-driven Thinking to the core of the learning environment as it leads to collaborative learning experience and the development of specific STEM skills such as problem-finding and solving, cognitive, analytical thinking, spatial skills, mental manipulation of objects, organization, leadership, management, and so on. A successful case study in Singapore involving tens of thousands of students is presented. Springer Singapore 2021-07-13 2021 /pmc/articles/PMC8276230/ http://dx.doi.org/10.1186/s40561-021-00153-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Benita, Francisco Virupaksha, Darshan Wilhelm, Erik Tunçer, Bige A smart learning ecosystem design for delivering Data-driven Thinking in STEM education |
title | A smart learning ecosystem design for delivering Data-driven Thinking in STEM education |
title_full | A smart learning ecosystem design for delivering Data-driven Thinking in STEM education |
title_fullStr | A smart learning ecosystem design for delivering Data-driven Thinking in STEM education |
title_full_unstemmed | A smart learning ecosystem design for delivering Data-driven Thinking in STEM education |
title_short | A smart learning ecosystem design for delivering Data-driven Thinking in STEM education |
title_sort | smart learning ecosystem design for delivering data-driven thinking in stem education |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276230/ http://dx.doi.org/10.1186/s40561-021-00153-y |
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