Teaching for higher levels of thinking: developing quantitative and analytical skills in environmental science courses

Abstract Professionals with strong quantitative and analytical skills are essential to understanding and responding to current environmental challenges. The goal of this study was to promote and evaluate the development of data analysis (DA) skills in undergraduate students through targeted interven...

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Main Authors: Adriana Bravo, Ana Porzecanski, Eleanor Sterling, Nora Bynum, Michelle Cawthorn, Denny S. Fernandez, Laurie Freeman, Stuart Ketcham, Timothy Leslie, John Mull, Donna Vogler
Format: Article
Language:English
Published: Wiley 2016-04-01
Series:Ecosphere
Subjects:
Online Access:https://doi.org/10.1002/ecs2.1290
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spelling doaj-c983e64c1d0244698a51ebdef826243e2020-11-24T21:55:19ZengWileyEcosphere2150-89252016-04-0174n/an/a10.1002/ecs2.1290Teaching for higher levels of thinking: developing quantitative and analytical skills in environmental science coursesAdriana Bravo0Ana Porzecanski1Eleanor Sterling2Nora Bynum3Michelle Cawthorn4Denny S. Fernandez5Laurie Freeman6Stuart Ketcham7Timothy Leslie8John Mull9Donna Vogler10Center for Biodiversity and Conservation American Museum of Natural History New York New York 10024 USACenter for Biodiversity and Conservation American Museum of Natural History New York New York 10024 USACenter for Biodiversity and Conservation American Museum of Natural History New York New York 10024 USAKeller Science Action Center The Field Museum Chicago Illinois 60605 USADepartment of Biology Georgia Southern University Statesboro Georgia 30460 USADepartment of Biology University of Puerto Rico at Humacao Humacao PR 00792‐4300 Puerto RicoDepartment of Science Fulton‐Montgomery Community College Johnstown New York 12095 USACollege of Science and Mathematics University of the Virgin Islands Kingshill Virgin Islands 00850 USADepartment of Biology Long Island University Brooklyn New York 11201 USADepartment of Zoology Weber State University Ogden Utah 84408 USABiology Department State University of New York College at Oneonta Oneonta New York 13820 USAAbstract Professionals with strong quantitative and analytical skills are essential to understanding and responding to current environmental challenges. The goal of this study was to promote and evaluate the development of data analysis (DA) skills in undergraduate students through targeted interventions in environmental science courses. We developed materials to promote practice, instruction, and assessment of four core DA dimensions: the ability to make appropriate calculations, convert data to graphical representations, interpret graphical or mathematical information, and draw conclusions based on the analysis of data. We integrated two conservation exercises as pre/post assessment tools, flanking differentiated teaching interventions, into selected science courses and used a standardized rubric to measure students' performance level. We found that students improved their DA skills in a single semester, but the level of improvement varied across skill dimensions. Students struggled with dimensions that require higher levels of thinking such as data interpretation and drawing conclusions. The use of additional exercises targeting these dimensions and alternative practices might enhance gains. Importantly, students also gained content knowledge in ecological principles while developing skills, and demonstrated an increase in self‐confidence with their DA skills. Our approach and open‐access materials can be integrated into existing courses to develop and assess data skills in undergraduate learners.https://doi.org/10.1002/ecs2.1290data analysisecologyprocess skillsscience coursesundergraduate students
collection DOAJ
language English
format Article
sources DOAJ
author Adriana Bravo
Ana Porzecanski
Eleanor Sterling
Nora Bynum
Michelle Cawthorn
Denny S. Fernandez
Laurie Freeman
Stuart Ketcham
Timothy Leslie
John Mull
Donna Vogler
spellingShingle Adriana Bravo
Ana Porzecanski
Eleanor Sterling
Nora Bynum
Michelle Cawthorn
Denny S. Fernandez
Laurie Freeman
Stuart Ketcham
Timothy Leslie
John Mull
Donna Vogler
Teaching for higher levels of thinking: developing quantitative and analytical skills in environmental science courses
Ecosphere
data analysis
ecology
process skills
science courses
undergraduate students
author_facet Adriana Bravo
Ana Porzecanski
Eleanor Sterling
Nora Bynum
Michelle Cawthorn
Denny S. Fernandez
Laurie Freeman
Stuart Ketcham
Timothy Leslie
John Mull
Donna Vogler
author_sort Adriana Bravo
title Teaching for higher levels of thinking: developing quantitative and analytical skills in environmental science courses
title_short Teaching for higher levels of thinking: developing quantitative and analytical skills in environmental science courses
title_full Teaching for higher levels of thinking: developing quantitative and analytical skills in environmental science courses
title_fullStr Teaching for higher levels of thinking: developing quantitative and analytical skills in environmental science courses
title_full_unstemmed Teaching for higher levels of thinking: developing quantitative and analytical skills in environmental science courses
title_sort teaching for higher levels of thinking: developing quantitative and analytical skills in environmental science courses
publisher Wiley
series Ecosphere
issn 2150-8925
publishDate 2016-04-01
description Abstract Professionals with strong quantitative and analytical skills are essential to understanding and responding to current environmental challenges. The goal of this study was to promote and evaluate the development of data analysis (DA) skills in undergraduate students through targeted interventions in environmental science courses. We developed materials to promote practice, instruction, and assessment of four core DA dimensions: the ability to make appropriate calculations, convert data to graphical representations, interpret graphical or mathematical information, and draw conclusions based on the analysis of data. We integrated two conservation exercises as pre/post assessment tools, flanking differentiated teaching interventions, into selected science courses and used a standardized rubric to measure students' performance level. We found that students improved their DA skills in a single semester, but the level of improvement varied across skill dimensions. Students struggled with dimensions that require higher levels of thinking such as data interpretation and drawing conclusions. The use of additional exercises targeting these dimensions and alternative practices might enhance gains. Importantly, students also gained content knowledge in ecological principles while developing skills, and demonstrated an increase in self‐confidence with their DA skills. Our approach and open‐access materials can be integrated into existing courses to develop and assess data skills in undergraduate learners.
topic data analysis
ecology
process skills
science courses
undergraduate students
url https://doi.org/10.1002/ecs2.1290
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