Informal STEM learning experiences (ISLEs), such as participating in science, computing, and engineering clubs and camps, have been associated with the development of youth’s science, technology, engineering, and mathematics interests and career aspirations. However, research on ISLEs predominantly focuses on institutional settings such as museums and science centers, which are often discursively inaccessible to youth who identify with minoritized demographic groups. Using latent class analysis, we identify five general profiles (i.e., classes) of childhood participation in ISLEs from data
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TEAM MEMBERS:
Remy DouHeidi CianZahra HazariPhilip SadlerGerhard Sonnert
Parents exert a strong influence on the development of foundational science, technology, engineering, and mathematical (STEM) skills in early childhood. This influence occurs, in large part, through playful parent-child interactions and conversations that expose children to mathematical and spatial concepts in interesting and useful ways. Prior research suggests that guided play is effective in building the STEM knowledge, reasoning, and interests of preschool children. Guided play requires adults to strategically present and scaffold STEM play in ways that support child initiative and
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TEAM MEMBERS:
Karen BiermanLynn LibenJessica MenoldMeg SmallScarlett MillerJennifer Connell
The pilot and feasibility study will develop instructional workshops for an adult population of quilters to introduce them to computational thinking. By leveraging pre-existing social structures, skill sets, and engagement in quilting, the researchers hope to help participants develop computer science and computational thinking knowledge and skills.
This poster was presented at the 2021 NSF AISL Awardee Meeting.
Making experiences and activities are rich with opportunities for mathematical reasoning that often go unrecognized by both participants and educators. Since 2015, we have been exploring this potential through the Math in the Making initiative. The work focuses particularly on children’s museums and science centers, many of which have developed maker spaces and programs over the last decade. In this article, we share insights from our most recent round of research. To begin, we consider the fundamental question of what it means to authentically integrate mathematics with making.
This poster was presented at the 2021 NSF AISL Awardee Meeting.
The project's activities include regular forums of journalists and social scientists (Slack & Zoom), experimentation with different ways of presenting stats in news graphics and text, focus groups and experiments with audiences, and resources to support journalists beyond our team.
New York City is a leader in Open Data initiatives, and has a large and diverse population. This project studies informal data science learning at workshops and trainings associated with NYC’s open data ecosystem.
This poster was presented at the 2021 NSF AISL Awardee Meeting.
Numeracy is not a luxury: numbers constantly factor into our daily lives. Yet adults in the United States have lower numeracy than adults in most other developed nations. While formal statistical training is effective, few adults receive it – and schools are a major contributor to the inequity we see among U.S. adults. That leaves news well-poised as a source of informal learning, given that news is a domain where adults regularly encounter quantitative content. Our transdisciplinary team of journalists and social scientists propose a research agenda for thinking about math and the news. We
The news arguably serves to inform the quantitative reasoning (QR) of news audiences. Before one can contemplate how well the news serves this function, we first need to determine how much QR typical news stories require from readers. This paper assesses the amount of quantitative content present in a wide array of media sources, and the types of QR required for audiences to make sense of the information presented. We build a corpus of 230 US news reports across four topic areas (health, science, economy, and politics) in February 2020. After classifying reports for QR required at both the
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
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
One part personal reflection, one part literature synthesis. This essay reflects on official statistics, common misunderstandings, and the COVID-19 numbers we're all becoming increasingly familiar with. The author calls on news audiences and journalists alike to become more knowledgeable about what official statistics can and can't do -- and to question the epistemic priority that so many people reflexively give to numbers by paying attention to what is not included.
This is a story about learning STEM content and practices while making objects. It is also a story about how that learning is contextualized in one young man’s disruption of racism simply by trying to learn how gears work. Our project, Investigating STEM Literacies in MakerSpaces (STEMLiMS), focuses on how adults and youth use representations to accomplish tasks in STEM disciplines in formal and informal making spaces (Tucker-Raymond, Gravel, Kohberger, & Browne, 2017). Making is an interdisciplinary endeavor that may involve mechanical and electrical engineering, digital literacies and