As part of a grant from the National Science Foundation, the National Federation of the Blind (NFB) is conducting regional STEM workshops in partnership with local science museums, entitled NFB STEM2U, for blind youth [youth], grades 3 – 6 and 9-12 [apprentices]. During the sixth and final regional workshop in Minneapolis, MN, the NFB operated two different programs simultaneously: one program for youth and a second program for their parents/caregivers. A third program, for the Science Museum of Minnesota staff, was conducted earlier to prepare the museum staff to assist with the youth program
Techbridge Girls’ mission is to help girls discover a passion for science, engineering, and technology (SET). In August 2013, Techbridge Girls was awarded a five-year National Science Foundation grant to scale up its after-school program from the San Francisco Bay Area to multiple new locations around the United States. Techbridge Girls began offering after-school programming at elementary and middle schools in Greater Seattle in 2014, and in Washington, DC in 2015.
Education Development Center is conducting the formative and summative evaluation of the project. To assess the
Techbridge Girls’ mission is to help girls discover a passion for science, engineering, and technology (SET). In August 2013, Techbridge Girls was awarded a five-year National Science Foundation grant to scale up its after-school program from the San Francisco Bay Area to multiple new locations around the United States. Techbridge Girls began offering after-school programming at elementary and middle schools in Greater Seattle in 2014, and in Washington, DC in 2015.
Education Development Center is conducting the formative and summative evaluation of the project. To assess the
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
In order to improve science, technology, mathematics, and engineering (STEM) learning, it is crucial to better understand the informal experiences that young children have that prepare them for formal science education. Young children are naturally curious about the world around them, and research in developmental psychology shows that families often support children in exploring and seeking explanations for scientific phenomena. It is less clear how to link children's natural curiosity and everyday parent-child interaction with more formal STEM learning. This collaborative project will team researchers from the University of California, Santa Cruz, the University of Texas, and Brown University with informal learning practitioners at the Children's Discovery Museum, The Thinkery, and the Providence Children's Museum in order to investigate how family interaction relates to children's causal learning, as well as how modifications to museum exhibit design and facilitation by museum staff influence families' styles of interaction and increase children's causal learning. This project is funded by the Research on Education and Learning (REAL) program which supports fundamental research by investigators from a range of disciplines in order to deepen what is known about STEM learning.
The project team will examine how ethnically and linguistically diverse samples of parents and children engage in collaborative scientific learning in three children's museums across the U.S. The research will combine observational studies of parent-child interaction in a real-world setting with experimental measures of children's causal learning. The investigators will examine how children explore and derive explanations for museum exhibits about mechanical gear function and fluid dynamics. In this way, the researchers will investigate the relation between styles of parent-child interaction and children's causal learning. The team will also investigate novel ways of presenting material within the exhibits to facilitate exploration and explanation. They will explore how signage, conversations with museum staff, parents' attitudes towards learning in museum settings, and parents' own prior knowledge about the exhibits can influence the parent-child interaction and subsequent causal learning. The project will advance the basic research goal of advancing what is known about what affects children's science content learning. It will also advance the practice-oriented goal of developing new strategies for the design of science museum exhibits and make recommendations for how parents can better talk to their children about scientific phenomena.
Purpose: This project will develop and test Kiko's Thinking Time, a series of game apps designed to strengthen children's cognitive skills related to executive functioning and reasoning. A principle objective of preschool is to prepare children for later success in school. Most programs focus on activities to support children's social and emotional development, and to strengthen pre-reading and mathematics competencies. Fewer programs explicitly focus on fostering children's executive function and reasoning skills—even though research in the cognitive sciences demonstrates these skills also provide a foundation for school-readiness.
Project Activities: During Phase I (completed in 2014), the team developed six prototype games and a teacher portal to track student progress. At the end of Phase I, results from a pilot study with 55 kindergarten students and 5 teachers demonstrated that the games operated as intended. Results indicated that students were engaged based on duration of game play, and that teachers were able to review game data for each child. In Phase II, the team will develop 15 more games and will further refine and enhance the functionality of the teacher portal. After development is complete, a pilot study will assess the feasibility and usability, fidelity of implementation, and the promise of the games for promoting students' executive functioning and reasoning. The researchers will collect data from 200 students in 10 preschool classrooms over 2 months. Half of the students in each class will be randomly assigned to use Kiko's Thinking Time while the other half will play an art-focused gaming app. Analyses will compare pre-and-post scores on measures of student's executive functioning and reasoning.
Product: Kiko's Thinking Time will be an app with 25 games, each based on tasks shown to have cognitive benefits in lab research. Each game will be designed to isolate and train skills related to executive functioning, such as: working memory, reasoning, inhibition, selective attention, cognitive flexibility, and spatial skills. Game play will be self-guided and adaptive, as the software will adjust in difficulty based on student responses. The app will work on tablets, smartphones, as well desktops. In addition, a companion website will allow teachers to track student performance and to obtain educational material around executive function and cognitive development.
As part of the development work of Latina SciGirls, the independent evaluation firm Knight Williams Inc. conducted a front-end evaluation focused on gathering input from the project’s primary public audiences (Latina girls and their parents/guardians) and professional audiences (the project’s advisers and partners).
Appendix includes logic model.
As part of a grant from the National Science Foundation, the National Federation of the Blind (NFB) is conducting regional STEM workshops in partnership with local science museums, entitled NFB STEM2U, for blind youth [youth], grades 3 – 6 and 9-12 [mentors]. During the fourth regional workshop in Phoenix, AZ, the NFB operated three different programs simultaneously: one program for youth, a second program for their parents/caregivers, and a third program for teachers of the visually impaired. A fourth program, for Arizona Science Center staff, was conducted earlier to prepare the museum staff
This study was a longitudinal summative evaluation of repeat visitors’ experiences in four Math Moves! exhibitions that were developed as part of a large collaborative exhibition development project called Math Core for Museums, and mounted at four museums around the country: Museum of Science (Boston); Museum of Life & Science (Durham, NC); Explora (Albuquerque); and Science Museum of Minnesota (St. Paul). The summative evaluation purposively selected four family groups at each institution and collected naturalistic data as the 16 groups engaged with the exhibits from 4-6 times over a two
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at the University of Colorado. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at DePaul University. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
The project will develop and research a new system that bridges the advantages of physical and virtual worlds to improve young children's inquiry-based science learning and engagement in a collaborative way. The project will use innovative technology and successful techniques developed for adaptive tutoring systems and bring this core research into informal learning settings where they haven't been applied before, with the goal of increasing engagement, learning and deep inquiry-based understanding in these environments. Museums and similar informal learning settings offer opportunities for children and families to learn together in an engaging way. However, without learning supports provided by people, signage, or technology, people often miss the point of the learning activity in museums. The project will develop a new genre of "intelligent" interactive science exhibits that combine proven intelligent tutoring system approaches with camera-based vision sensing to add a new layer to hands-on museum exhibits. This intelligent layer provides personalized interactive feedback to museum visitors while they experiment with physical objects in the real world. The project is a collaborative effort led by the Human Computer Interaction Institute at Carnegie Mellon University in partnership with the University of Pittsburgh Learning Research and Development Center, Children's Museum of Pittsburgh, and Carnegie Science Center. It is supported by the Advancing Informal STEM Learning (AISL) program funds research and innovative resources for use in a variety of settings, as a part of its overall strategy to enhance learning in informal environments.
The project will research whether and how learning principles and adaptive, computer-based technologies that are effective in formal school learning be made effective in an informal museum experience with hands-on activities to enhance the learning and engagement of children and parents. The system will use intelligent camera sensing that tracks and notices children's interaction in physical and virtual spaces and provides adaptive personalized feedback via the help of an engaging character. It guides the children as well as the parents to engage in productive dialogue, helping shape a better parent-child interaction. To investigate this, the project will further develop an innovative mixed-reality system and smart adaptive system that gives personalized feedback to visitors based on their actions, guiding them to understand the world around them like a scientist. The project will gather data on learner behaviors in mixed-reality experiences in informal settings to inform how to better design intelligent science exhibits and derive patterns to support key outcomes, including learning, engagement, collaboration, and productive dialogue. The project will also research the application of these design patterns across different science content areas.
DATE:
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TEAM MEMBERS:
Ken KoedingerScott HudsonKevin CrowleyNesra Yannier