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Experience of distance education for project-based learning in data science
Data science plays an important role in many fields. Project-based learning is an effective teaching approach because students can learn data science practices based on real-world problems and real-world data. Because of a pandemic of COVID-19, we provided project-based learning as distance educatio...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994060/ https://www.ncbi.nlm.nih.gov/pubmed/35434522 http://dx.doi.org/10.1007/s42081-022-00154-2 |
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author | Sakamaki, Kentaro Taguri, Masataka Nishiuchi, Hiromu Akimoto, Yoshitomo Koizumi, Kazuyuki |
author_facet | Sakamaki, Kentaro Taguri, Masataka Nishiuchi, Hiromu Akimoto, Yoshitomo Koizumi, Kazuyuki |
author_sort | Sakamaki, Kentaro |
collection | PubMed |
description | Data science plays an important role in many fields. Project-based learning is an effective teaching approach because students can learn data science practices based on real-world problems and real-world data. Because of a pandemic of COVID-19, we provided project-based learning as distance education (synchronic distance education). In this study, we explain how we developed and conducted it and provide survey results from students. The survey showed about 30% of the students found it difficult to communicate with each other and with teachers. However, it suggested that they could communicate to some extent even by remote group work. We found that, in remote communication, it is important to see the faces of all the students (and teachers) on the Zoom screen when they discuss using screen sharing. There remain some challenges such as timing to start talking and casual questions to teachers. Although some issues should be improved, distance education for project-based learning in data science can be implemented effectively. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42081-022-00154-2. |
format | Online Article Text |
id | pubmed-8994060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-89940602022-04-11 Experience of distance education for project-based learning in data science Sakamaki, Kentaro Taguri, Masataka Nishiuchi, Hiromu Akimoto, Yoshitomo Koizumi, Kazuyuki Jpn J Stat Data Sci Original Paper Data science plays an important role in many fields. Project-based learning is an effective teaching approach because students can learn data science practices based on real-world problems and real-world data. Because of a pandemic of COVID-19, we provided project-based learning as distance education (synchronic distance education). In this study, we explain how we developed and conducted it and provide survey results from students. The survey showed about 30% of the students found it difficult to communicate with each other and with teachers. However, it suggested that they could communicate to some extent even by remote group work. We found that, in remote communication, it is important to see the faces of all the students (and teachers) on the Zoom screen when they discuss using screen sharing. There remain some challenges such as timing to start talking and casual questions to teachers. Although some issues should be improved, distance education for project-based learning in data science can be implemented effectively. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42081-022-00154-2. Springer Nature Singapore 2022-04-09 2022 /pmc/articles/PMC8994060/ /pubmed/35434522 http://dx.doi.org/10.1007/s42081-022-00154-2 Text en © The Author(s) 2022 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 | Original Paper Sakamaki, Kentaro Taguri, Masataka Nishiuchi, Hiromu Akimoto, Yoshitomo Koizumi, Kazuyuki Experience of distance education for project-based learning in data science |
title | Experience of distance education for project-based learning in data science |
title_full | Experience of distance education for project-based learning in data science |
title_fullStr | Experience of distance education for project-based learning in data science |
title_full_unstemmed | Experience of distance education for project-based learning in data science |
title_short | Experience of distance education for project-based learning in data science |
title_sort | experience of distance education for project-based learning in data science |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994060/ https://www.ncbi.nlm.nih.gov/pubmed/35434522 http://dx.doi.org/10.1007/s42081-022-00154-2 |
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