As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative resources for use in a variety of settings. Informal STEM learning opportunities are often rare in rural locations where the early childhood education system is also under-resourced. Through partnerships with educational researchers, early math educators, pediatric health experts, and pediatric clinics, this project will develop and study a new opportunity for informal math learning. The project will work with pediatric clinics that serve rural immigrant families who are racially, culturally, and linguistically diverse. The project leverages the high levels of trust many caregivers have in their child’s pediatrician to improve math learning during critical early years. This project will build on a previous program where physician text messages to caregivers supported youth literacy development. In this instance the project will support caregivers’ math interactions with their 3- and 4-year-olds to cultivate children's math knowledge and skills. The text messaging program will be grounded in research in child development, mathematics learning, parenting practices, and adult behavior change. Texts will also provide caregiver supports for how to engage their children in mathematical activates in their everyday lives and provide information about the important skills children are developing. Text messages will be co-developed with caregiver input, and focus on content underlying mathematical development such as Number Sense, Classification and Patterning, Measurement, Geometry, and Reasoning. Caregivers will receive text messages from their pediatric clinics three times a week for eight months. For example, three related texts supporting Number Sense include: “FACT: Kids enjoy counting and it prepares them for K! Mealtimes are a fun time to practice counting objects;” “TIP: At a meal, say: Can you count all the cups on the table? All the plates? What else can you count? (Forks) Tell them: Great job!” and “GROWTH: You are helping kids to count & get ready for K. At the park, ask: How many bikes are there? How many birds? Count together & find out!” Throughout the planning and implementation phases of the project the team will work closely with early education math experts, key advisors, and caregivers to ensure the text messaging program is tailored to meet the cultural, linguistic, and contextual needs of rural caregivers and children.
The project will research impacts of the text messaging program on children, caregivers, and clinical staff. First, the project will investigate the impact of the texting program on children through a randomized trial, and pre-and-post measures of early childhood math skills and abilities. Second, using interviews at baseline and in a 9-month follow-up, the project will study the texting program’s impact on caregivers’ perceptions regarding the importance of math learning for young children. Third, the project will explore the impact of the text messaging program on health professionals’ understanding of math learning in early childhood by collecting qualitative data and assessing attitudes about the clinic’s role in supporting early math. Caregivers and clinic staff will also participate in focus groups to better understand impacts for each of these groups. The project will reach 1000 families, who will be randomly assigned to treatment or control groups through block-randomization, stratified by caregiver language and child’s age. This parent-informed project will build evidence toward new approaches to promoting early math in the pediatric clinic, an informal environment that can reach all families and can leverage innovative technology. Findings will be shared widely though a communication and engagement plan that includes children, caregivers, physicians and clinic staff, informal STEM educators, researchers, and policy makers.
DATE:
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TEAM MEMBERS:
Lisa ChamberlainSusanna LoebJaime Peterson
resourceprojectProfessional Development, Conferences, and Networks
Data science is ever-present in modern life. The need to learn with and about data science is becoming increasingly important in a world where the quantity of data is constantly growing, where one’s own data are often being harvested and marketed, where data science career opportunities are rapidly increasing, and where understanding statistics, data sources, and data representation is integral to understanding STEM and the world around us. Museums have the opportunity to play a critical role in introducing the public to data science concepts in ways that center personal relevance, social connections and collaborative learning. However, data science and statistics are difficult concepts to distill and provide meaningful engagement with during the brief learning experiences typical to science museums. This Pilot and Feasibility study brings together data scientists, data science educators, and museum exhibit designers to consider these questions:
What are the important data science concepts for the public to explore and understand in museum exhibits?
How can museum exhibits be designed to support visitors with diverse backgrounds and experiences to engage with these data science concepts?
What principles can shape these designs to promote broadening participation in data science specifically and STEM more broadly?
This Pilot and Feasibility project combines multidisciplinary expert convening, feasibility testing, and early exploratory prototyping around the focal topic of data science exhibits. Project partners, TERC, the Museum of Science, Boston, and The Tech Interactive in San Jose will engage in an iterative process to develop a theoretical grounding and practical guidance for museum practitioners. The project will include two convenings, bringing together teams of experts from the fields of data science, data science education and museum exhibit design. Prior to the first convening, an initial literature summary and a survey of convening participants will be conducted, culminating in a preliminary list of big ideas about data science. Periodically, participants will have the opportunity to rank, annotate and expand this list, as a form of ongoing data collection. During the convenings, participants will explore the preliminary list, share related work from the three disciplines, engage with related data science activities in small groups, and work together to build consensus around promising data science topics and approaches for exhibits. Participant evaluation will allow for iterative improvement of the convenings and the capture of missed points or overlooked topics. After each convening, museum partners will create prototypes that respond to the convening conversations. Prototypes will be pilot tested (evaluated) with an intentionally recruited group of families that includes both frequent visitors and those who are less likely to visit the museum; diversity in terms of race, languages and dis/ability will be reflected in selection. Pilot data collection will consist of structured observations and interviews. Results from the first round of prototyping will be shared with convening participants as a way to modify the list of big ideas and to further interrogate the feasibility of communicating these ideas in an exhibit format. Results from the convenings and from both rounds of prototyping will be combined in a guiding document that will be shared on all three partner websites, and more broadly with the informal STEM learning field. The team will also host a workshop for practitioners interested in designing data science exhibits, and present at a conference focused on museum exhibits and their design.