This project will advance 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) by developing a suite of digital tools designed to support positive messaging around skill-based education and careers and to improve mentors' communication with middle school-aged youth mentees. Maintaining U.S. economic advantage requires attracting talent to high-growth, high-demand skill-based, STEM-related careers that are traditionally attained through Career and Technical Education (CTE). Replacing old negative perceptions with new, more accurate messages about CTE and then reaching youth with these messages before high school is essential. Career-focused mentoring is a vehicle for delivering these messages and supporting youth exploration of CTE as a possible path for their own lives. Investigators will explore the hypothesis that through strong connections between those best positioned to articulate industry needs (mentors) and those most receptive to filling that need (mentees), this project will improve youth awareness and interest in CTE and the rewarding careers that are available to them. Research and development activities will be carried out collaboratively in informal learning environments in Boston and New York City that serve middle school-aged youth from underrepresented communities, through career-focused mentoring programs. The project team, led by media producers of the WGBH Education Foundation, includes market researchers and communications strategists at Global Strategy Group, learning scientists at Education Development Center, and mentorship program partners at SkillsUSA, Learning for Life's Middle School Explorer Clubs, and Boy Scouts of America's Scoutreach. If promising, the career-focused mentoring programs of SkillsUSA, Learning for Life, and Boy Scouts of America will incorporate the messaging roadmap and digital tools to support their mentoring curricula, which impact greater than one million youth in each year.
In the first phase of research, investigators will study perceptions of STEM-focused CTE from a nationwide sample of 800 middle school-aged youth and 30 mentors from skill-based STEM industries. In the second phase, investigators will work with six program leaders and 30 mentors from SkillsUSA, Explorer Clubs, Scoutreach, and other mentoring programs to document the needs of mentors for support as they enter into the mentoring process. The third phase will engage mentorship program leaders and 36 mentors in the iterative development of a suite of digital tools that would support positive messaging around skill-based education and careers and that would improve mentors' communication with youth mentees. In addition, a pre-post mentorship program pilot study will explore the promise of the digital tools for effectively supporting mentor-mentee communications that improve youth awareness and interest in STEM-focused CTE and skill-based, STEM-related careers. Thirty six mentors and 288 of their youth mentees will participate in the pilot study. Data sources for research include interviews and surveys of program leaders, mentors, and mentees, as well as tracking mentor activity within the online digital tool environment. This research would advance knowledge of how mentors influence disadvantaged youth perceptions of and interest in CTE and skill-based, STEM career pathways, in which there is currently little evidence as to how mentor preparation shapes ability to positively impact youth outcomes. Major outcomes will include a) deeper understandings of youth and mentor perceptions of CTE and mentors' needs for supporting their work with mentees, b) a messaging roadmap and digital tools that prepare mentors for their work with middle school youth, and c) empirical findings regarding the potential of the digital tools for effectively supporting mentor-mentee communications that improve youth's awareness and interest in CTE and skill-based, STEM-related careers. Outcomes will be shared widely to research, education, and industry communities, locally and nationally, through social media, partner networks, conference presentations, and research publications. An advisory board will provide independent review on the project activities.
In March of 2016, the Exploratorium transmitted a live webcast of a total solar eclipse from Woleai, a remote island in the southwestern Pacific. The webcast reached over 1 million viewers. Evaluation reveals effective use of digital media to engage learners in solar science and related STEM content.
Edu, Inc. conducted an external evaluation study that shows clear and consistent evidence of broad distribution of STEM content through multiple online channels, social media, pre-produced videos, and an app for mobile devices. IBM Watson did a deep analysis of tweets on eclipse topics that
This is an extended discussion of the question that appeared in the Viewpoints department of the May/June 2016 issue of Dimensions magazine. It discusses whether smartphones benefit or detract from the museum experience from a variety of perspectives from the field.
Informal learning opportunities are increasingly being recognized as important for youth participation in authentic experiences at the intersection of science, technology, engineering, and math (STEM) (Dorsen, Carlson, and Goodyear 2006). These experiences may involve specialized equipment and dedicated time for learners to gain familiarity with the relevant scientific and engineering practices (i.e., designing experiments on their own, struggling to make sense of data, learning from their own mistakes and the results of peers), which often go beyond the classroom. However, the educators who
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TEAM MEMBERS:
Kathryn WilliamsonSue Ann HeatherlyVivian HoetteEva Erdosne TothDavid Beer
As a leader in the science museum field, the New York Hall of Science (NYSCI) is a destination for hands-on, interactive exhibitions and innovative programs. NYSCI’s Design-Make-Play (DMP) pedagogical approach to STEM learning recognizes that what is essential is not only the content—what is being taught—but how teaching and learning are imagined through the curriculum. This commitment to practice builds off of interest-based learning research, which emphasizes that all learners should feel a sense of efficacy and possibility. The hallmarks of this approach include deep personal engagement
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TEAM MEMBERS:
Amanda SolarshGina TesorieroMichaela LabrioleTara Chudoba
The phenomenon of lay readers of neuroscience being positively biased by the mere presence of brain images (fMRI), has been hotly debated, with recent failures to replicate the phenomenon, and suggestions that context is important. We experimentally investigated the potentially biasing effect of neuroimagery on participants' beliefs and explored an important facet of context within a neuroscience article: whether the article was supportive or critical of fMRI use in detecting states of mind. Results supported recent arguments that a “neurorealism” effect may in part be an artifact of
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TEAM MEMBERS:
Maria PopescuR. Bruce ThompsonWilliam GaytonVincent Markowski
Of all the online information tools that the public relies on to collect information and share opinions about scientific and environmental issues, Twitter presents a unique venue to assess the spontaneous and genuine opinions of networked publics, including those about a focusing event like the Fukushima Daiichi nuclear accident following the 2011 Tohoku earthquake and tsunami. Using computational linguistic algorithms, this study analyzes a census of English-language tweets about nuclear power before, during, and after the Fukushima nuclear accident. Results show that although discourse about
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TEAM MEMBERS:
Nan LiHeather AkinLeona Yi-Fan SuDominique BrossardMichael XenosDietram Scheufele
Changes in household-level actions in the U.S. have the potential to reduce rates of greenhouse gas (GHG) emissions and climate change by reducing consumption of food, energy and water (FEW). This project will identify potential interventions for reducing household FEW consumption, test options in participating households in two communities, and collect data to develop new environmental impact models. It will also identify household consumption behavior and cost-effective interventions to reduce FEW resource use. Research insights can be applied to increase the well-being of individuals at the household level, improve FEW resource security, reduce climate-related risks, and increase economic competitiveness of the U.S. The project will recruit, train, and graduate more than 20 students and early-career scientists from underrepresented groups. Students will be eligible to participate in exchanges to conduct interdisciplinary research with collaborators in the Netherlands, a highly industrialized nation that uses 20% less energy and water per person than the U.S.
This study uses an interdisciplinary approach to investigate methods for reducing household FEW consumption and associated direct and indirect environmental impacts, including GHG emissions and water resources depletion. The approach includes: 1) interactive role-playing activities and qualitative interviews with homeowners; 2) a survey of households to examine existing attitudes and behaviors related to FEW consumption, as well as possible approaches and barriers to reduce consumption; and 3) experimental research in residential households in two case-study communities, selected to be representative of U.S. suburban households and appropriate for comparative experiments. These studies will iteratively examine approaches for reducing household FEW consumption, test possible intervention strategies, and provide data for developing systems models to quantify impacts of household FEW resource flows and emissions. A FEW consumption-based life cycle assessment (LCA) model will be developed to provide accurate information for household decision making and design of intervention strategies. The LCA model will include the first known farm-to-fork representation of household food consumption impacts, spatially explicit inventories of food waste and water withdrawals, and a model of multi-level price responsiveness in the electricity sector. By translating FEW consumption impacts, results will identify "hot spots" and cost-effective household interventions for reducing ecological footprints. Applying a set of climate and technology scenarios in the LCA model will provide additional insights on potential benefits of technology adoption for informing policymaking. The environmental impact models, household consumption tracking tool, and role-playing software developed in this research will be general purpose and publicly available at the end of the project to inform future education, research and outreach activities.
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TEAM MEMBERS:
David WatkinsBuyung AgusdinataChelsea SchellyRachael ShwomJenni-Louise Evans
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.
As a part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds research and innovative resources for use in a variety of settings. This media and technology project will scale up Youth Radio's proven model of STEM education through youth-driven multimedia journalism and related app development using the MIT App Inventor. A new Youth News Network (YNN) will implement a nationwide feeder system of youth reporters and educators using the previously developed and proven STEM curriculum. Previous research and evaluation has demonstrated that this model can engage underserved youth and put them in leadership positions in technological innovation. Key deliverables include the YNN STEM Desk that will produce 15-20 STEM-related stories each year; bootcamps (1-3 day workshops) training youth around the country focusing on app development and media links; and new toolkits providing resources to help with app development, data analysis and other STEM-specific skills. Project partners include MIT Media Lab, National Public Radio, Best Buy's Teen Tech Centers, National Writing Project, Computer Clubhouses, and PBS Learning Media among others.
Over the previous eight years, research and evaluation findings had been used to refine the project. These data served as the foundation for this scale-up project. The research conducted by the investigator and the Scholar-in-Residence in this scale-up uses an embedded ethnographic approach that combines field notes, recorded meetings and discussions, media artifacts, etc.--data that is transcribed and coded for indicators of STEM learning and critical computational literacy. The external summative evaluation will build on prior evidence regarding how this unique model engages youth and impacts their skills in STEM related media and technology.
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TEAM MEMBERS:
Elisabeth SoepEllin O'LearyHarold Abelson