2020
DOI: 10.3389/feduc.2020.554806
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Practical Rubrics for Informal Science Education Studies: (1) a STEM Research Design Rubric for Assessing Study Design and a (2) STEM Impact Rubric for Measuring Evidence of Impact

Abstract: Informal learning institutions, such as museums, science centers, and community-based organizations, play a critical role in providing opportunities for students to engage in science, technology, engineering, and mathematics (STEM) activities during out-of-school time hours. In recent years, thousands of studies, evaluations, and conference proceedings have been published measuring the impact that these programs have had on their participants. However, because studies of informal science education (ISE) progra… Show more

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Cited by 4 publications
(2 citation statements)
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“…Indeed, the application of modeling-based methods, specifically with small sample sizes, has been found to yield less biased standard error estimates and higher statistical power than comparable methods (McNeish & Harring, 2017). Finally, a fifth limitation of our study was our lack of a comparison group, which prevents us from making any causal links between design principles and participants' outcomes (Habig, 2020). Habig and Gupta IJ STEM Ed (2021) 8:57…”
Section: Limitationsmentioning
confidence: 94%
“…Indeed, the application of modeling-based methods, specifically with small sample sizes, has been found to yield less biased standard error estimates and higher statistical power than comparable methods (McNeish & Harring, 2017). Finally, a fifth limitation of our study was our lack of a comparison group, which prevents us from making any causal links between design principles and participants' outcomes (Habig, 2020). Habig and Gupta IJ STEM Ed (2021) 8:57…”
Section: Limitationsmentioning
confidence: 94%
“…Evaluating the impact in informal learning contexts poses a set of particular challenges (Habig, 2020 ). Firstly, evaluations should preserve the informal nature of science experiences, while defining appropriate evaluation metrics, using a common language, goals, and theories (National Research Council, 2009 ).…”
Section: Introductionmentioning
confidence: 99%