The Space and Earth Informal STEM Education (SEISE) project, led by the Arizona State University with partners Science Museum of Minnesota, Museum of Science, Boston, and the University of California Berkeley’s Lawrence Hall of Science and Space Sciences Laboratory, is raising the capacity of museums and informal science educators to engage the public in Heliophysics, Earth Science, Planetary Science, and Astrophysics, and their social dimensions through the National Informal STEM Education Network (NISE Net). SEISE will also partner on a network-to-network basis with other existing coalitions and professional associations dedicated to informal and lifelong STEM learning, including the Afterschool Alliance, National Girls Collaborative Project, NASA Museum Alliance, STAR_Net, and members of the Association of Children’s Museums and Association of Science-Technology Centers. The goals for this project include engaging multiple and diverse public audiences in STEM, improving the knowledge and skills of informal educators, and encouraging local partnerships.
In collaboration with the NASA Science Mission Directorate (SMD), SEISE is leveraging NASA subject matter experts (SMEs), SMD assets and data, and existing educational products and online portals to create compelling learning experiences that will be widely use to share the story, science, and adventure of NASA’s scientific explorations of planet Earth, our solar system, and the universe beyond. Collaborative goals include enabling STEM education, improving U.S. scientific literacy, advancing national educational goals, and leveraging science activities through partnerships. Efforts will focus on providing opportunities for learners explore and build skills in the core science and engineering content, skills, and processes related to Earth and space sciences. SEISE is creating hands-on activity toolkits (250-350 toolkits per year over four years), small footprint exhibitions (50 identical copies), and professional development opportunities (including online workshops).
Evaluation for the project will include front-end and formative data to inform the development of products and help with project decision gates, as well as summative data that will allow stakeholders to understand the project’s reach and outcomes.
There is a growing need for citizens to be able to work with data and consider how data is represented. This work employs a design, make, play framework to create data modeling learning experiences for young children and their caregivers in an informal setting. The project develops and tests a curriculum for a workshop series for 5-8 year old children to engage them in playful exploration of data modeling. Children engage in data collection, data representation, and data analysis by drawing on their own experiences of museum exhibitions. The curriculum supports developing children's interest and engagement with data science and data literacy, which are foundational knowledge for a range of STEM careers and disciplines. This project advances efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase students' motivations and capacities to pursue careers in fields of science, technology, engineering, or mathematics (STEM).
The project is grounded in a theoretical framework for young children's learning that focus on playful exploration, design, and building on children's own experiences and questions. The research examines how the curriculum needs to be designed to support families in data modeling, foster engagement in data modeling by both younger (ages 5-6) and older (ages 7-8) children, and provide evidence of active approaches to learning about STEM. The design and development project tests and investigates the materials using a design-based research framework. Children who participate in the workshop series should increase their confidence in solving problems, taking initiative, and drawing on available resources to pursue their own questions and respond to novel challenges. Data collected includes interviews with participants, artifacts of children's work throughout the series, and an observational instrument to document families' problem solving, persistence, and engagement with data science concepts.
Designing Our World (DOW) was a four-year NSF-funded initiative in which the Oregon Museum of Science and Industry (OMSI) sought to promote girls’ pursuit of engineering careers through community-based programming, exhibition development, and identity research. The overarching aim of DOW was to engage girls ages 9–14 with experiences that illuminate the social, personally relevant, and altruistic nature of engineering. In addition to programming for girls, the project also included workshops for parents/caregivers, professional development for staff from community partners; and an exhibition
Increasingly, the prosperity, innovation and security of individuals and communities depend on a big data literate society. Yet conspicuously absent from the big data revolution is the field of teaching and learning. The revolution in big data must match a complementary revolution in a new kind of literacy, through a significant infusion of STEM education with the kinds of skills that the revolution in 21st century data-driven science demands. This project represents a concerted effort to determine what it means to be a big data literate citizen, information worker, researcher, or policymaker; to identify the quality of learning resources and programs to improve big data literacy; and to chart a path forward that will bridge big data practice with big data learning, education and career readiness.
Through a process of inquiry research and capacity-building, New York Hall of Science will bring together experts from member institutions of the Northeast Big Data Innovation Hub to galvanize big data communities of practice around education, identify and articulate the nature and quality of extant big data education resources and draft a set of big data literacy principles. The results of this planning process will be a planning document for a Big Data Literacy Spoke that will form an initiative to develop frameworks, strategies and scope and sequence to advance lifelong big data literacy for grades P-20 and across learning settings; and devise, implement, and evaluate programs, curricula and interventions to improve big data literacy for all. The planning document will articulate the findings of the inquiry research and evaluation to provide a practical tool to inform and cultivate other initiatives in data literacy both within the Northeast Big Data Innovation Hub and beyond.
Purpose: This project will develop and test Happy Atoms, a physical modeling set and an interactive iPad app for use in high school chemistry classrooms. Happy Atoms is designed to facilitate student learning of atomic modeling, a difficult topic for chemistry high school students to master. Standard instructional practice in this area typically includes teachers using slides, static ball and stick models, or computer-simulation software to present diagrams on a whiteboard. However, these methods do not adequately depict atomic interactions effectively, thus obscuring complex knowledge and understanding of their formulas and characteristics.
Project Activities: During Phase I (completed in 2014), the team developed a prototype of a physical modeling set including a computerized ball and stick molecular models representing the first 17 elements on the periodic table and an iPad app that identifies and generates information about atoms. A pilot study at the end of Phase I tested the prototype with 187 high school students in 12 chemistry classes. Researchers found that the prototype functioned as intended. Results showed that 88% of students enjoyed using the prototype, and that 79% indicated that it helped learning. In Phase II, the team will develop additional models and will strengthen functionality for effective integration into instructional practice. After development is complete, a larger pilot study will assess the usability and feasibility, fidelity of implementation, and promise of Happy Atoms to improve learning. The study will include 30 grade 11 chemistry classrooms, with half randomly assigned to use Happy Atoms and half who will continue with business as usual procedures. Analyses will compare pre-and-post scores of student's chemistry learning, including atomic modeling.
Product: Happy Atoms will include a set of physical models paired with an iPad app to cover high school chemistry topics in atomic modeling. The modeling set will include individual plastic balls representing the elements of the periodic table. Students will use an iPad app to take a picture of models they create. Using computer-generated algorithms, the app will then identify the model and generate information about its physical and chemical properties and uses. The app will also inform students if a model that is created does not exist. Happy Atoms will replace or supplement lesson plans to enhance chemistry teaching. The app will include teacher resources suggesting how to incorporate games and activities to reinforce lesson plans and learning.
This summative evaluation report details the Broad Implementation of the Living Laboratory model--an initiative to promote partnership between museums and cognitive science researchers in order to promote professional learning and involve the public in scientific research. The evaluation investigated the extent of the dissemination effort’s depth, spread, sustainability, and shift in ownership, based on Coburn’s criteria for scale-up (2003). Evaluators collected data from surveys, interviews, focus groups, document review, and observations. Findings about depth suggest that adopters fully
Informal learning, and by extension, museums, are inherently emotional experiences, evoking feelings of awe, excitement, and curiosity. Oftentimes, museum professionals have prioritized traditionally positive emotions such as excitement and interest as being the most desirable and useful in supporting museum learning. However, prior research into naturally occurring emotions at museums found that some visitors who experienced negative emotions, such as confusion or frustration, at exhibits also reported deeper engagement and overall feelings of satisfaction (Rappolt-Schlichtmann et al., 2017). Based on these findings and similar results from formal education (D’Mello et al., 2014), this project team has worked to develop and refine a framework of strategies for creating exhibits that invoke and support visitors through the complex emotional state called productive struggle (PS) which is defined as a three-part emotional arc characterized by: 1) disequilibrium (experienced emotionally as emotions like confusion, frustration, surprise, or unease) that arises from encountering a challenging task, phenomenon, or idea, 2) persistence through the task which is supported by exhibit design scaffolds, and 3) an emotionally productive resolution tied to the source of disequilibrium or an overall sense of effortful achievement. In deliberately attending to and supporting a range of negative and positive emotions in museums, visitors can gain access to a wider variety of complex emotional experiences, including those critical to STEM learning, and have potential to broaden participation in STEM by supporting learners' diverse emotional needs and preferences.
This multidisciplinary project team consisting of researchers and exhibit professionals utilized a design-based research (DBR) process to develop, test, and refine a definition of museum-based productive struggle, and create a framework of design strategies that support PS. Three physical exhibits and a virtual exhibit were created during this multi-year project. Additionally, a summative research study was conducted with 105 youth ages 10-17 to explore: 1) whether visitors experienced the expected emotional arc of PS; 2) how exhibit design strategies supported PS; and 3) the extent of visitors’ learning and engagement at these PS exhibits.
Most experimental studies in the behavioral sciences rely on college students as participants for reasons of convenience, and most take place in North America and Europe. As a result, studies are only sampling from a narrow range of human experiences. The results of these studies have limited generalizability, failing to reflect the full range of mental and behavioral phenomena across diverse cultures and backgrounds. However sampling from broader populations is challenging, due to limited opportunities and access, heightened cost, and the need for specific knowledge about how to adapt research protocols to different communities. The goal of this workshop is to develop some tools and guidelines to help researchers overcome barriers to broader sampling, and to incentivize doing so through better institutional support.
The goal of this workshop is to develop tools to support and encourage increased robustness and generalizability in the experimental behavioral sciences. The meeting is dedicated to identifying and developing potential solutions to the so-called "WEIRD people" problem: the fact that most experimental behavioral science research is conducted with members of WEIRD populations (Western, Educated, Industrialized, Rich Democracies). The discovery that much of this research fails to generalize to broader populations and fails to capture the range of human patterned variation in thought and behavior creates a pressing need for research approaches to be more inclusive. Although there are researchers throughout the world who have developed effective models for overcoming these limitations, there are significant barriers to achieving robust and generalizable experimental behavioral research for most researchers. This workshop will bring together scholars from a range of disciplines whose research represents positive case studies of how to overcome these barriers. The participants aspire to accomplish three goals: 1) develop tools and training materials to help researchers enhance diversity in their research populations, 2) develop infrastructure solutions for connecting researchers across diverse contexts and populations, and 3) develop a set of recommendations for institutional changes to support enhancing diversity in experimental behavioral science through manuscript, grant, and tenure review.
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TEAM MEMBERS:
Douglas MedinDaniel HruschkaLera BoroditskyCristine Legare
Science is a way of knowing about the world. At once a process, a product, and an institution, science enables people to both engage in the construction of new knowledge as well as use information to achieve desired ends. Access to science—whether using knowledge or creating it—necessitates some level of familiarity with the enterprise and practice of science: we refer to this as science literacy.
Science literacy is desirable not only for individuals, but also for the health and well- being of communities and society. More than just basic knowledge of science facts, contemporary
In late 2012, Providence Children’s Museum began a major three-year research project in collaboration with The Causality and Mind Lab at Brown University, funded by a grant from the National Science Foundation (1223777). Researchers at Brown examined how children develop scientific thinking skills and understand their own learning processes. The Museum examined what caregivers and informal educators understand about learning through play in its exhibits and how to support children’s metacognition – the ability to notice and reflect on their own thinking – and adults’ awareness and appreciation of kids’ thinking and learning through play. Drawing from fields like developmental psychology, informal education and museum visitor studies, the Museum’s exhibits team looked for indicators of children’s learning through play and interviewed parents and caregivers about what they noticed children doing in the exhibits, asking them to reflect on their children’s thinking. Based on the findings, the research team developed and tested new tools and activities to encourage caregivers to notice and appreciate the learning that takes place through play.
This is an efficacy study through which the Denver Museum of Nature and Science, the Denver Zoo, the Denver Botanic Gardens, and three of Denver's urban school districts join efforts to determine if partnerships among formal and informal organizations demonstrate an appropriate infrastructure for improving science literacy among urban middle school science students. The Metropolitan Denver Urban Advantage (UA Denver) program is used for this purpose. This program consists of three design elements: (a) student-driven investigations, (b) STEM-related content, and (c) alignment of schools and informal science education institutions; and six major components: (a) professional development for teachers, (b) classroom materials and resources, (c) access to science-rich organizations, (d) outreach to families, (e) capacity building and sustainability, and (e) program assessment and student learning. Three research questions guide the study: (1) How does the participation in the program affect students' science knowledge, skills, and attitudes toward science relative to comparison groups of students? (2) How does the participation in the program affect teachers' science knowledge, skills, and abilities relative to comparison groups of teachers? and (3) How do families' participation in the program affect their engagement in and support for their children's science learning and aspirations relative to comparison families?
The study's guiding hypothesis is that the UA Denver program should improve science literacy in urban middle school students measured by (a) students' increased understanding of science, as reflected in their science investigations or "exit projects"; (b) teachers' increased understanding of science and their ability to support students in their exit projects, as documented by classroom observations, observations of professional development activities, and surveys; and (c) school groups' and families' increased visits to participating science-based institutions, through surveys. The study employs an experimental research design. Schools are randomly assigned to either intervention or comparison groups and classrooms will be the units of analysis. Power analysis recommended a sample of 18 intervention and 18 comparison middle schools, with approximately 72 seventh grade science teachers, over 5,000 students, and 12,000 individual parents in order to detect differences among intervention and comparison groups. To answer the three research questions, data gathering strategies include: (a) students' standardized test scores from the Colorado Student Assessment Program, (b) students' pre-post science learning assessment using the Northwest Evaluation Association's Measures for Academic Progress (science), (c) students' pre-post science aspirations and goals using the Modified Attitude Toward Science Inventory, (d) teachers' fidelity of implementation using the Teaching Science as Inquiry instrument, and (e) classroom interactions using the Science Teacher Inquiry Rubric, and the Reformed Teaching Observation protocol. To interpret the main three levels of data (students, nested in teachers, nested within schools), hierarchical linear modeling (HLM), including HLM6 application, are utilized. An advisory board, including experts in research methodologies, science, informal science education, assessment, and measurement oversees the progress of the study and provides guidance to the research team. An external evaluator assesses both formative and summative aspects of the evaluation component of the scope of work.
The key outcome of the study is a research-informed and field-tested intervention implemented under specific conditions for enhancing middle school science learning and teaching, and supported by partnerships between formal and informal organizations.
This report summarizes findings from a research-practice partnership investigating STEM-rich making in afterschool programs serving young people from communities historically under-represented in STEM. The three-year study identified key dimensions related to (1) How STEM-Rich Making advances afterschool programmatic goals related to socio-emotional and intellectual growth for youth; (2) Key characteristics of programs that effectively engage youth historically marginalized in STEM fields; and (3) Staff development needs to support equity-oriented STEM-Rich Making programs.