Peg + Cat is a popular broadcast television series, developed by The Fred Rogers Company and airing on PBS, in which a girl named Peg and her sidekick, Cat, solve everyday problems using mathematics, creativity, persistence, and humor. Peg + Cat: Developing Preschoolers’ Early Math Skills was a three-year project, funded by the National Science Foundation, that aimed to impact children’s interest and engagement with mathematics, as well as their development of positive social-emotional skills. The project supported early math learning via the creation of additional Peg + Cat episodes, online
Although discussions of museums often revolve around exhibits, educators in these spaces have the potential to create in-depth, social learning experiences beyond what is possible at exhibits alone. There is still little empirical research, however, to inform how we understand, approach, and improve museum facilitation practices. In this study, we sought to address this gap by quantifying the impact of facilitation by trained educators working with visitors at interactive museum exhibits and comparing this to visitor engagement and learning outcomes for families without educator support. Using
This paper describes an NSF-funded study which explored the relationship between female-responsive exhibit designs and girls’ engagement. Across three participating science centers, 906 museum visitors ages 8 to 13 were observed at 334 interactive physics, math, engineering, and perception exhibits. We measured girls’ engagement based on whether they chose to use or return to the exhibits, opted to spend more time at them, or demonstrated deeper engagement behavior. Findings suggest that the design strategies identified in our previously developed Female-Responsive Design Framework can inform
This paper describes the development of a Female-Responsive Design Framework for Informal Science Education (ISE). The FRD Framework translates ideas from Culturally Responsive Pedagogy to discover and recommend pedagogical strategies that apply to females and design. This paper describes our synthesis of prior research about females’ social, historical, and cultural practices in STEM learning from a variety of fields. The paper further details our process of developing the FRD Framework with the help of museum practitioners, female youth, researchers, and experts from the fields of design
Mathematics plays a significant role in understanding and participating in science, technology, and engineering (STEM). Research shows that early mathematics experiences in everyday life are critical to the development of children's mathematical knowledge. This project will explore an innovative approach to fostering parent-child math interactions and conversations related to mathematical ideas. The approach will use community-based, exhibit installations called Mathscapes. These are artistic, culturally relevant, easily accessible, physical installations designed to encourage adults and children (ages 3 to 7) to use their immediate environment to playfully explore key early math concepts. The project also addresses a need for research about the cultural experiences and resources that marginalized children and families bring to mathematical conversations. Understanding parent-child interactions about mathematics community settings could result in new knowledge about early math learning among low income children and parents. As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.
This exploratory study will design and investigate an innovative approach to encouraging math talk and math-related interactions between parents and children (ages 3-7) through the creation of MathScapes. These are temporary physical installations designed to use the immediate environment to playfully explore mathematical concepts. This study will be conducted in two Boston neighborhoods that are populated by low-income, non-dominant minority and immigrant families. Adopting a case study approach, the project will use observational methods, discourse analysis of parent/child talk, and interviews to study the interactions of 200 families at two neighborhood Mathscape installations. LENA devices will be used to capture parent/child talk at the Mathscapes while researchers use observational methods to document participant interactions, talk, and gestures. Data sources will include audio recordings of family talk, field notes of family interactions at Mathscape installations, surveys, and interviews. A qualitative approach will be used to produce research findings at multiple levels. The focus of the analysis will be to understand if this approach enhances the quality and quantity of math talk between parents and children. The project will be carried out by a research-practice-community partnership in Boston, Massachusetts that includes community mathematics educators, education researchers, and participating children and families. The design of community installations could promote engagement with math through adult/child conversations in culturally-relevant contexts situated in the local environment. By addressing the cultural experiences and resources of young people, the project could greatly enhance our understanding of how to leverage the resources that children and families bring to engaging with mathematics.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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TEAM MEMBERS:
Omowale MosesDanny MartinCatherine O'ConnorNermeen Darshoush
This Innovations in Development project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants. This Pilot and Feasibility study will investigate strategies for enhancing the mathematics in museum-based making and tinkering activities and lay the foundation for a full research study on broadening family participation in mathematics through making. This proposal builds directly on the NSF-funded Math in the Making convening. During this convening, questions about how to authentically highlight and enhance the mathematics in making and tinkering experiences, and how different math-enhancement approaches might influence learner experiences and outcomes, emerged as critical issues for researchers, educators, and mathematicians alike. The project aims to provide a practical lens to help researchers and educators connect topics across STEM with making and tinkering experiences. The project also seeks to advance theoretical understandings of museum-based learning by exploring ways that activity design and facilitation strategies influence how visitors understand the nature and goals of the experience and, in turn, how these visitor experiences shape learning outcomes. The project is designed to explore the most promising of these math-enhancement strategies in more depth, to propose as a next project and develop a theoretical framework for understanding and describing how these strategies influence how families understand and engage with the mathematics in maker experiences. Through several culturally-responsive approaches developed in collaboration with community-based organizations, the project will research how mathematics in maker experiences influences participant engagement and learning. The project will culminate in the design of a research study. Reports and resources developed by the project will be broadly disseminated to researchers, mathematicians, and educators. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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. For example, parents of preschool children are often encouraged to use puzzles, board games, and construction activities to foster children's spatial thinking and early math skills. However, mastery-oriented toys like these typically elicit highly structured interactions, with parents directing children to follow explicit step-by-step instructions and game rules. Although this kind of parent-directed play can build content knowledge in STEM, it does little to encourage the kind of intrinsically-motivated discovery, generative collaboration, and creative problem-solving skills that support STEM education and attainment. This research in service to practice project seeks to understand how parents can play with their preschool children in ways that build children's STEM skills while also supporting children's social-emotional skills. As such, this research has the potential for advancing knowledge on effective strategies for enriching informal learning opportunities in under-resourced and sparsely populated communities where access to children's museums and other informal learning institutions is limited. Over a period of three years, approximately 135 children and parents from a rural Appalachian community are expected to participate in this research, which is organized into three phases. During Phase 1, human-centered design processes will be used to develop and refine play guides and parent scaffolds that promote productive pretend play, which is characterized by joyful and creative problem-solving and rich parent/child conversations featuring mathematical and spatial concepts and reasoning. In Phase 2, measures will be developed and validated to operationalize and code this kind of productive parent-child play and play guides will be tested and refined in a local children's museum. In the final phase, a formal field test will investigate the feasibility and acceptability of outreach programming involving the use of play guides over time. Pre-, mid-, and post-intervention measures will estimate program impact on child STEM and social-emotional skill acquisition, relative to a comparison group. An expected outcome of the project will be research-based educational materials that illustrate and support pretend play in ways that generate spatial and mathematical thinking and parent/child conversations. These materials will will be made available to families and informal learning practitioners. This project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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TEAM MEMBERS:
Karen BiermanLynn LibenMeg SmallJessica Menold
Data are the workhorses of the scientific endeavor and their use is rapidly evolving (Haendel, Vasilevsky, and Wirz 2012). Ask almost any scientist about their work, and the conversation will involve the data they collect and analyze. The use of data in science is often captured in science classrooms as an ill-defined link between math and science that may not reflect authentic data practices (Tanis Ozcelik and McDonald 2013). Students often find themselves collecting data to confirm obvious conclusions within highly structured labs, and data become a way for students to demonstrate the
This NSF INCLUDES Design and Development Launch Pilot will improve math achievement among elementary school students of color in public schools in Albuquerque, New Mexico. Recognizing the need to coordinate efforts related to students' math and science achievement, key stakeholders formed the NM STEM Ecosystem, a dynamic network of cross-sector partners committed to making real impact on STEM education and degree attainment in Albuquerque. The NM STEM Ecosystem identified the math achievement gap between low-income students of color and their more economically-advantaged peers as the Broadening Participation (BP) Challenge it would address first. While math achievement gaps between students of color and Caucasian students appear nationally, the situation is particularly dire in New Mexico. In order to keep doors open to future STEM careers, it is crucial that learning pathways for math are articulated early and that these pathways honor families' cultural ways of knowing. The innovative strategy of Math Families & Communities Empowering Student Success (Math FACESS) is to use a collective impact approach to close the math achievement gap by connecting formal and informal STEM educators around a coherent, multi-faceted program of early mathematics teaching and learning that empowers parents and teachers to support children's mathematical development. Implementation of Math FACESS includes four major components: 1) Teachers at two pilot schools will participate in professional development related to Math Talk and Listening; 2) Parents at the pilot schools will participate in parent workshops and community-based activities focused on supporting their children's math achievement; 3) Project partners will implement community-based family activities organized around a theme of Twelve Months of Math; and 4) Ecosystem partners will study what worked and what didn't, in order to identify best practices that can be shared with system leaders to scale effective practices and increase impact.
The near-term objectives for Math FACESS are: 1) improve students' attitudes, practices, and achievement in math; 2) improve parents' attitudes, practices, and confidence in math and increase their utilization of family math resources; 3) improve data-sharing among partners related to math participation and achievement; and 4) create pathways within the Ecosystem for family math learning. The effectiveness of the collective impact model and impacts on partner organizations also will be assessed. Through the math FACESS Launch Pilot, the NM STEM Ecosystem plans to: 1) demonstrate the power of a collective impact social innovation framework to address a systemic community condition -- in this case, the math achievement gap; 2) contribute to theory-of-change research that demonstrates student achievement can be affected by working with parents and teachers; and 3) provide a model that values different ways of knowing and uses cultural context in the design of STEM learning opportunities for students, families, and schools.
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TEAM MEMBERS:
Joe HastingsArmelle CasauObenshain KorenKersti TysonAngelo Gonzales
The University of Texas at Austin's Texas Advanced Computing Center, Chaminade University of Honolulu (CUH), and the Georgia Institute of Technology will lead this NSF INCLUDES Design and Development Launch Pilot (DDLP) to establish a model for data science preparation of Native Hawaiian and Pacific Islander (NHPI) students at the high school and undergraduate levels. The project is premised on the promise of NHPI communities gaining access to, and the ability to work with, large data sets to tackle emerging problems in the Pacific. Such agency over "big data" sets that are relevant to Pacific issues, and contemporary skills in data science, analytics and visualization have the potential to be transformative for community improvement efforts. The effort has the potential to advance knowledge, instructional pedagogy and practices to improve NHPI high school and undergraduate students performance in and attraction to STEM education and careers.
The project team will work to: 1) Increase interest and proficiency in data science and visualization among NHPI high school and undergraduate students through a summer immersion experience that bridges computation and culture; 2) Build data science capacity at an NHPI serving undergraduate institution (CUH) through creation of a certificate program; and 3) Develop and expand partnerships with other organizations with related goals working with NHPI populations. The month-long summer training for 20 NHPI college students, and five NHPI high school students, takes place at CUH and focuses on data science, visualization, and virtual reality, including working on problem sets that require data science approaches and incorporate geographically, socially- and culturally-relevant research themes.
Improving retention rates in postsecondary engineering degree programs is the single most effective approach for addressing the national shortage of skilled engineers. Both mathematics course placement and performance are strong graduation predictors in engineering, even after controlling for demographic characteristics. Underrepresented students (e.g., rural students, low-income students, first-generation students, and students of color) are disproportionately represented in cohorts that enter engineering programs not yet calculus-ready. Frequently, the time and cost of obtaining an engineering degree is increased, and the likelihood of obtaining the degree is also reduced. This educational problem is particularly acute for African American students who attended select high schools in South Carolina, with extremely high-poverty rates. As a result, the investigators proposed an NSF INCLUDES Launch Pilot project to develop a statewide consortium in South Carolina - comprising all of the public four-year institutions with ABET-approved engineering degree programs, all of the technical colleges, and 118 high schools with 70% or higher poverty rates, to pinpoint and address the barriers that prevent these students from being calculus ready in engineering.
This NSF INCLUDES Launch Pilot project will map completion/attrition pathways of students by collecting robust cross-sectional data to identify and understand the complex linkages between and behind critical decisions. Such data have not been available to this extent, especially focused on diverse populations. Further, by developing structural equation models (SEMs), the investigators will be able to build on extant research, contributing directly to understanding the relative impact of a range of latent variables on the development of engineering identity, particularly among African American, rural, low-income, and first-generation engineering students. Results of the pilot interventions are likely to contribute to the empirical and theoretical literature that focus on engineering persistence among underrepresented populations. Project plans also include developing a centralized database compatible to the Multiple Institution Database for Investigation of Engineering Longitudinal Development (MIDFIELD) project to share institutional data with K-12 and postsecondary administrators, engineering educators, and education researchers with NSF INCLUDES projects and beyond.
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TEAM MEMBERS:
Anand GramopadhyeDerek BrownEliza GallagherKristin Frady
The University of New Hampshire (UNH) NSF INCLUDES Design and Development Launch Pilot project is a collaborative effort with the Community College System of New Hampshire, Advanced Manufacturing (AM) businesses, NH Economic Development, and the University of New Hampshire to address workforce development in the Advanced Manufacturing sector in the state. The Advanced Manufacturing Program (AMP) uses a framework built on the Collective Impact collaboration model that enables AMP partners to innovate, plan, and implement strategies that significantly increase NH's community colleges (CC) as a source for future workers and leaders in AM.
Specifically, this proposal addresses the pressing need for increasing numbers of AM workers through strategies designed to increase the retention of low socioeconomic status (LSES) students in CC STEM degree programs. AMP coordinates four key implementation strategies: 1) Co-requisite remediation within mathematics and quantitative reasoning; 2) Guided Pathways mentorship with "high touch" advising and student guidance resources that combines clearly defined academic pathways leading to 4-year college transfer and job placement; 3) paid work-based learning (WBL) experiences in industry and academic research; and 4) mentor inclusiveness training to prepare the workplace and academic settings to receive LSES students into a supportive climate. Successfully coordinating these four components through the process of Collective Impact collaboration will lead to a flexible and integrated AM workforce pipeline that serves CC AM students, AM industry partners, and the state as a whole. Findings will be disseminated to academic, business, and government stakeholders in NH, the region, and nationally to inform and improve broadening participation initiatives.
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TEAM MEMBERS:
Palligarnai VasudevanStephen HaleBrad KinseyLeslie BarberMelissa Aikens