Development of a Pandemic Awareness STEM Outreach Curriculum: Utilizing a Computational Thinking Taxonomy Framework
Computational thinking is an essential skill in the modern global workforce. The current public health crisis has highlighted the need for students and educators to have a deeper understanding of epidemiology. While existing STEM curricula has addressed these topics in the past, current events prese...
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Format: | Article |
Language: | English |
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MDPI AG
2021-03-01
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Series: | Education Sciences |
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Online Access: | https://www.mdpi.com/2227-7102/11/3/109 |
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author | Pamela O. Gilchrist Alonzo B. Alexander Adrian J. Green Frieda E. Sanders Ashley Q. Hooker David M. Reif |
author_facet | Pamela O. Gilchrist Alonzo B. Alexander Adrian J. Green Frieda E. Sanders Ashley Q. Hooker David M. Reif |
author_sort | Pamela O. Gilchrist |
collection | DOAJ |
description | Computational thinking is an essential skill in the modern global workforce. The current public health crisis has highlighted the need for students and educators to have a deeper understanding of epidemiology. While existing STEM curricula has addressed these topics in the past, current events present an opportunity for new curricula that can be designed to present epidemiology, the science of public health, as a modern topic for students that embeds the problem-solving and mathematics skills of computational thinking practices authentically. Using the Computational Thinking Taxonomy within the informal education setting of a STEM outreach program, a curriculum was developed to introduce middle school students to epidemiological concepts while developing their problem-solving skills, a subset of their computational thinking and mathematical thinking practices, in a contextually rich environment. The informal education setting at a Research I Institution provides avenues to connect diverse learners to visually engaging computational thinking and data science curricula to understand emerging teaching and learning approaches. This paper documents the theory and design approach used by researchers and practitioners to create a Pandemic Awareness STEM Curriculum and future implications for teaching and learning computational thinking practices through engaging with data science. |
first_indexed | 2024-03-10T13:26:25Z |
format | Article |
id | doaj.art-bd8c3f980074404ea594bd6301c848e9 |
institution | Directory Open Access Journal |
issn | 2227-7102 |
language | English |
last_indexed | 2024-03-10T13:26:25Z |
publishDate | 2021-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Education Sciences |
spelling | doaj.art-bd8c3f980074404ea594bd6301c848e92023-11-21T09:39:33ZengMDPI AGEducation Sciences2227-71022021-03-0111310910.3390/educsci11030109Development of a Pandemic Awareness STEM Outreach Curriculum: Utilizing a Computational Thinking Taxonomy FrameworkPamela O. Gilchrist0Alonzo B. Alexander1Adrian J. Green2Frieda E. Sanders3Ashley Q. Hooker4David M. Reif5The Science House-College of Sciences, North Carolina State University, Raleigh, NC 27604, USACollege of Education, North Carolina State University, Raleigh, NC 27604, USABioinformatics Research Center, North Carolina State University, Raleigh, NC 27604, USAEnvironmental Health & Safety, Wake Technical Community College, Raleigh, NC 27603, USAChapel Hill-Carrboro City Schools, Chapel Hill, NC 27516, USABioinformatics Research Center, North Carolina State University, Raleigh, NC 27604, USAComputational thinking is an essential skill in the modern global workforce. The current public health crisis has highlighted the need for students and educators to have a deeper understanding of epidemiology. While existing STEM curricula has addressed these topics in the past, current events present an opportunity for new curricula that can be designed to present epidemiology, the science of public health, as a modern topic for students that embeds the problem-solving and mathematics skills of computational thinking practices authentically. Using the Computational Thinking Taxonomy within the informal education setting of a STEM outreach program, a curriculum was developed to introduce middle school students to epidemiological concepts while developing their problem-solving skills, a subset of their computational thinking and mathematical thinking practices, in a contextually rich environment. The informal education setting at a Research I Institution provides avenues to connect diverse learners to visually engaging computational thinking and data science curricula to understand emerging teaching and learning approaches. This paper documents the theory and design approach used by researchers and practitioners to create a Pandemic Awareness STEM Curriculum and future implications for teaching and learning computational thinking practices through engaging with data science.https://www.mdpi.com/2227-7102/11/3/109science learningSTEM competenciesinformal learningcomputational thinkingeducationcurriculum development |
spellingShingle | Pamela O. Gilchrist Alonzo B. Alexander Adrian J. Green Frieda E. Sanders Ashley Q. Hooker David M. Reif Development of a Pandemic Awareness STEM Outreach Curriculum: Utilizing a Computational Thinking Taxonomy Framework Education Sciences science learning STEM competencies informal learning computational thinking education curriculum development |
title | Development of a Pandemic Awareness STEM Outreach Curriculum: Utilizing a Computational Thinking Taxonomy Framework |
title_full | Development of a Pandemic Awareness STEM Outreach Curriculum: Utilizing a Computational Thinking Taxonomy Framework |
title_fullStr | Development of a Pandemic Awareness STEM Outreach Curriculum: Utilizing a Computational Thinking Taxonomy Framework |
title_full_unstemmed | Development of a Pandemic Awareness STEM Outreach Curriculum: Utilizing a Computational Thinking Taxonomy Framework |
title_short | Development of a Pandemic Awareness STEM Outreach Curriculum: Utilizing a Computational Thinking Taxonomy Framework |
title_sort | development of a pandemic awareness stem outreach curriculum utilizing a computational thinking taxonomy framework |
topic | science learning STEM competencies informal learning computational thinking education curriculum development |
url | https://www.mdpi.com/2227-7102/11/3/109 |
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