This summary brief captures highlights from the second year of the NSF-funded WaterMarks project. The technical evaluation report for this same project period can be found on the main project page. The purpose of this document is to communicate key updates (as observed by the evaluation team) in a less technical way with the many different audiences who have an interest in keeping up with WaterMarks.
This is the evaluation report for the second year of the NSF-funded WaterMarks project. It reflects a current summary of available evidence about the intended outcomes of program activities to date, as well as commentary on how the project is using (or could use) this information moving forward.
This study collected data from seven planetarium email lists (one per planetarium regional organization in the United States), as well as online survey panel data from residents in each area, to describe and compare those who do and do not visit planetariums.
The fields of science education and science communication are said to have developed as disparate fields of research and practice, operating based on somewhat different logics and premises about their audiences. As the two fields share many of the same goals, arguments have been made for a rapprochement between the two. Drawing inspiration from a historical debate between the scholars John Dewey and Walter Lippmann, the present article is a case-oriented theoretical contribution applying models from science education and science communication in relation to a current socio-scientific issue
This summary brief captures highlights from the evaluation report for the first year of the NSF-funded WaterMarks project (also available on this page). The purpose of this document is to communicate key updates from evaluation in a less technical way with the many different audiences who have an interest in keeping up with WaterMarks.
This is the evaluation report for the first year of the NSF-funded WaterMarks project. It reflects an initial summary of available evidence about the intended outcomes of program activities to date, as well as commentary on how the project is using (or could use) this information moving forward. This report contains descriptions of embedded measures (i.e. anonymized drawings and reflections captured on a thematic postcard) included in community walks and analyses of secondary data (i.e., interviews conducted by other members of hte project team), as well as reflections emerging from the
Despite the fact that most science learning takes place outside of school, little is known about how engagement in informal science learning (ISL) experiences affects learners’ knowledge, skill development, interest, or identities over long periods of time. Although substantial ISL research has documented short-term outcomes such as the learning that takes place during a science center visit, research suggests that the genuine benefits of informal experiences are long-term transformations in learners as they pursue a “cascade” of experiences subsequent to the initial educational event
This short (approximately 2-3 hours), self-paced non-credit learning module is designed for those new to conducting research in communities impacted by energy development. You will learn about the concept of “research fatigue” and become more prepared for fieldwork by learning what to expect when you visit energy-impacted communities.
Access is free for students, researchers and those living in or serving communities impacted by energy development.
Participants who complete the online course can a digital badge called Understanding Research Fatigue. Earners of this certification will
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TEAM MEMBERS:
Suzi TaylorJulia Hobson HaggertyKristin SmithRuchie Pathak
This workbook / planning guide was designed as an outreach tool to support students and early-career researchers who are studying the social impacts of energy development and wish to better understand and mitigate “research fatigue,” a state in which citizens of a community who are already experiencing massive change may be exhausted by additional attention from researchers, the media and others outside the community.
The workbook can be used as a stand-alone resource or as a complement to the Understanding Research Fatigue online module (https://eu.courses.montana.edu/CourseStatus.awp
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TEAM MEMBERS:
Suzi TaylorJulia Hobson HaggertyJeffrey JacquetGene TheodoriKathryn Bills Walsh
Many studies have examined the impression that the general public has of science and how this can prevent girls from choosing science fields. Using an online questionnaire, we investigated whether the public perception of several academic fields was gender-biased in Japan. First, we found the gender-bias gap in public perceptions was largest in nursing and mechanical engineering. Second, people who have a low level of egalitarian attitudes toward gender roles perceived that nursing was suitable for women. Third, people who have a low level of egalitarian attitudes perceived that many STEM
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TEAM MEMBERS:
Yuko IkkataiAzusa MinamizakiKei KanoAtsushi InoueEuan McKayHiromi M. Yokoyama
In this article, we follow up on food scientists' findings that people judge new food technologies and related products (un)favourably immediately after just hearing the name of the technology. From the reactions, it appears that people use their attitudes to technologies they know to evaluate new technologies. Using categorization theory, in this study we have found that, by triggering associations with a familiar technology, a name of the new technology can be enough to determine emerging attitudes. Comparison between the technology used for categorization and another familiar technology had
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TEAM MEMBERS:
Reginald BoersmaP. Marijn PoortvlietBart Gremmen
We characterize the factors that determine who becomes an inventor in the United States, focusing on the role of inventive ability (“nature”) vs. environment (“nurture”). Using deidentified data on 1.2 million inventors from patent records linked to tax records, we first show that children’s chances of becoming inventors vary sharply with characteristics at birth, such as their race, gender, and parents’ socioeconomic class. For example, children from high-income (top 1%) families are ten times as likely to become inventors as those from below-median income families. These gaps persist even
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TEAM MEMBERS:
Alex BellRaj ChettyXavier JaravelNeviana PetkovaJohn Van Reenen