Education in the Anthropocene: Assessing planetary health science standards in the US
Data files
Sep 13, 2023 version files 93.42 KB
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composite_score_vs_length.txt
6.18 KB
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Correlation_Scatterplots_Data.txt
1.88 KB
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H.I._raw.txt
3.88 KB
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L.U._raw.txt
2.59 KB
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Raw_Data.xlsx
44.17 KB
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README.md
13.42 KB
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State.Ranking.Data.9.15.20.xlsx
17.42 KB
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T.P._raw.txt
3.88 KB
Abstract
The environmental crises defining the Anthropocene demand ubiquitous mitigation efforts, met with collective support. Yet, disengagement and disbelief surrounding planetary health threats are pervasive, especially in the United States (US). This skepticism may be influenced by inadequate education addressing the scope and urgency of the planetary health crisis. We analyzed current K-12 science standards related to planetary health throughout the US, assessing their quality and potential predictors of variation. While planetary health education varies widely across the US with respect to the presence and depth of terms, most science standards neglected to convey these concepts with a sense of urgency. Furthermore, state/territory political affiliation and primary GDP contributor were each predictive of the quality of planetary health education. We propose that a nation-wide science standard could fully address the urgency of the planetary health crisis and prevent political bias from influencing the breadth and depth of concepts covered.
README: Data and code for Education in the Anthropocene: assessing planetary health science standards in the USA
This dataset contains all US state and territory science standards (as of July 2020) as well as the raw scores assigned by standard reviewers, R input files, and R code used to assess planetary health education throughout the US.
Description of the data and file structure
Individual state and territory science education standards
- All PDF and Word files
Data files
- Raw_Data.xlsx - all raw scores and metadata for individual state/territory science standards
- Sheet 1 (Standard Rankings) - rankings for all science education standards across all terms and dimensions
- T. P. = Term Presence
- H. I. = Human Interactions
- L. U. = Level of Urgency
- Sheet 2 (State Metadata) - all metadata for each US state and territory used to determine which factors predict planetary health education quality
- Sheet 1 (Standard Rankings) - rankings for all science education standards across all terms and dimensions
- composite_score_vs_length.txt - contains the mean score ("Score")\, score dimension ("Category")\, standard length in pages ("Pages")\, and standard length in number of words ("Words") for each science education standard ("Standard")
- Correlation_Scatterplots_Data.txt - mean Term Presence ("TP_Score")\, Human Interactions ("HI_Score")\, and Level of Urgency ("LU_Score") scores for each individual science education standard (rows)
- H.I._raw.txt - raw Human Impacts scores for each science education standard (rows); columns represent the raw scores assigned by reviewers 1\, 2\, and 3
- L.U._raw.txt - raw Level of Urgency scores for each science education standard (rows); columns represent the raw scores assigned by reviewers 1\, 2\, and 3
- T.P._raw.txt - raw Term Presence scores for each science education standard (rows); columns represent the raw scores assigned by reviewers 1\, 2\, and 3
- State.Ranking.Data.9.15.20.csv - for each individual state/territory science education standard (rows) included are the state abbreviation ("Abbreviation")\, state/territory name ("State/Territory")\, US census region ("Region") and division ("Division")\, if the science education standard is the Next Generation Science Standard ("NGSS") with Y = yes and N = no\, climate change preparedness as a numeric score ("NumericPreparedness")\, climate change preparedness as a letter score ("Preparedness.ClimateChange")\, the state/territory's top GDP industry ("Industy.1.GDP")\, dominant political party ("Yr Adopted NCSL Bi")\, the percent of children living in poverty ("Children.Poverty")\, average household income ("HH.Income")\, the year the science education standard was adopted ("Year_Adopted")\, the year the science education standard was implemented ("Year_Implemented")\, the total number of students enrolled in public education ("No_Students")\, the sum of all Term Presence scores ("TP_Sum")\, the sum of all Human Interaction scores ("HI_Sum")\, the sum of all Level of Urgency scores ("LU_Sum")\, the mean Term Presence score ("TP_Score")\, the mean Human Interactions score ("HI_Score")\, the mean Level of Urgency score ("LU_Score")\, the composite score ("Overall Score")\, and the deviation of the composite score from the mean of all composite scores ("Deviation from Mean")
Analysis scripts
- Krippendorffs_alpha_IRR.R
- Calculates interrater reliability via Krippendorff's alpha for all raw data (Figure S3).
- Input: L.U._raw.txt, H.I._raw.txt, and T.P._raw.txt
- Composite_Score_vs_Length.R
- Calculates linear regression of state standard length against each mean score (Figure S2).
- Input: composite_score_vs_length.txt
- Correlation_Scatterplots_Script.R
- Calculates the linear regression of each pair of term dimensions (Figure S1)
- Input: Correlation_Scatterplots_Data.txt
- LSMeans.Rmd
- Restricted maximum likelihood liner mixed models using the statistical package ASREML-R
- Input: State.Ranking.Data.9.15.20.csv
Sharing/Access information
For those versions still publicly available online, US state and territory standards can be accessed directly online using the following links: