Familiarity with statistical and data literacy is important in many areas of modern life, but there is little research on how adults continue to build mathematical literacy beyond formal schooling. Mass media science news stories contain much data, assuming that adults will understand the content.This 4-year project will first map the landscape of adult statistical literacy in the US, particularly as it relates to news consumption. The second phase will build on results from the first phase through a longitudinal study. In the third phase, the project will develop a range of experiments to manipulate mathematical explainers embedded in STEM news stories and test techniques with adult audiences, with the goal of identifying the attributes and affordances that best improve confidence and competence in the underlying math principles and their meaning to news stories. in addition to the research, project components include 12 broadcast video and social media pieces each year that will form the basis for testing with audiences, a one-day symposium for professional science journalists, and a written best practice guide that summarizes key findings and implications for practitioners.
Critical research questions are: How do mathematical competence and confidence differ among different segments of the adult population? How can STEM journalists improve adult mathematical competence and confidence through their reporting techniques? Phase 1 of the research will be a landscape review of mathematical content in the news including a baseline study of adult statistical literacy. Phase 2 will be a longitudinal study with news audiences recruited to participate in a panel study. Phase 3 will be iterative testing of the digital content based on the findings from Phases 1 and 2 and will use both focus groups and online testing. External evaluation will be conducted by TERC including an evaluation of the symposium for professional journalists.
The broader impacts of this project are twofold: the science videos created will be broadcast and made available free to a national audience including those in rural areas; and the training of science journalists has the potential for multiple, long term impact by increasing their ability to communicate statistics meaningfully to their readers/viewers.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
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. The three-year project, Montana Models: Connecting Local and Disciplinary Practices through University-Community Partnerships, focuses on creating, implementing, and studying several learning outcomes associated with youth engagement in mathematical modeling contexts. The project builds on existing partnerships between the state's two research universities and Montana 4-H to target outreach to rural youth and bring them into a network of people who can inspire, support, and sustain STEM learning. Middle school and high school students from rural communities will be invited to a university campus for a residential modeling-based summer program l focused on mathematics and mathematical modeling. Activities at the summer program are designed to engage them in problems relevant to their own backgrounds and experiences and to honor their local funds of knowledge. The primary goal of Montana Models is to use mathematical modeling as a mechanism for bringing everyday mathematical practices already present in rural communities into contact with disciplinary practices. The project focuses on the following research questions: (1) What are the everyday mathematical practices in Montana communities? (2) How can everyday mathematical practices be leveraged and brought into contact with disciplinary practices in service of mathematizing meaningful questions within the community? (3) How do youth identify and get identified with respect to mathematics and with respect to their role in the world? (4) How does participation in project activities affect participants' knowledge of mathematical practices and content? The project uses social design experimentation, a hybrid research methodology which combines the traditions of design-based research with forms of inquiry that involve collaboration among participants, researchers, and other stakeholders, such as critical ethnography. Data sources include field notes from ethnographic observations, interviews, videos of students engaging in modeling activities, artifacts that show their mathematical work, and results from the Attitudes Towards Mathematics Inventory. Through its collaboration with 4-H, Montana Models targets outreach to rural youth across the state, especially those from groups that are typically underrepresented in STEM fields. The project is poised to impact ways in which formal and informal educators understand the knowledge bases that are already present in rural communities and how those bases may inform, support, and sustain STEM learning. Findings and deliverables will be disseminated through a public-facing website and through the 4-H infrastructure. This infrastructure includes Montana 4-H's Clover Communication Contest that will allow participating youth to showcase their projects. Research findings will be shared through local and national conferences and peer-reviewed publications. 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.