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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Main Authors: Pamela O. Gilchrist, Alonzo B. Alexander, Adrian J. Green, Frieda E. Sanders, Ashley Q. Hooker, David M. Reif
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Education Sciences
Subjects:
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.
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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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