In October 2017, the PBS NewsHour team produced a week and a half of opioid-related content, including several online explainers, which presented the opportunity for a natural experiment for the Experiments in Transmedia project.
Knology (formerly New Knowledge Organization Ltd.) conducted a two-wave research study to advance understanding of the youth audience’s knowledge and news consumption on the topic.
The first wave of the study, conducted in September 2017, provides a baseline. The content aired in October 2017, and the second wave of the study, conducted in November 2017, asked a
YR Media (formerly Youth Radio) engages young people in digital media production that combines journalism, design, data, and coding. With support from the National Science Foundation (NSF), YR Media collaborated with the Massachusetts Institute of Technology’s App Inventor to launch WAVES — A STEM-Powered Youth News Network for the Nation. This three-year initiative expanded YR Media’s model of informal STEM education through the launch of a national platform that utilizes STEM-powered tools to create and distribute news stories, mobile apps, and digital interactives.
Rockman et al, an
Seeking to use narrative as a vehicle for getting more young people interested in STEM, the National Science Foundation supported a WETA/PBS NewsHour initiative to adapt their Student Reporting Labs (SRL) curriculum to feature a focus on STEM content in 2015. NewsHour selected Knology to run a four-year evaluation of the project from 2015 to 2019. Building on earlier research about student-led science journalism (e.g. Polman & Hope, 2014; Nicholas, 2017), this project suggests that having students develop and produce narratives about complex STEM topics may make these topics far less
How can creators of STEM learning media reach underserved parents and children, and support the kinds of playful STEM interactions that are foundational for future STEM learning?
This research report summarizes findings from a pilot study of Cyberchase: Mobile Adventures in STEM, a program that uses mobile text messaging and short videos to encourage hands-on family learning among low-income Latino families.
In the study, 95 mostly Latino families received weekly text messages with video clips from the popular children's series Cyberchase, and fun activities to do with their
Participants in this study reported a variety of resources used in the past to learn to code in Apex, including online tutorials, one-day classes sponsored by Salesforce, and meet-up groups focused on learning. They reported various difficulties in learning through these resources, including what they viewed as the gendered nature of classes where the men already seemed to know how to code—which set a fast pace for the class, difficulty in knowing “where to start” in their learning, and a lack of time to practice learning due to work and family responsibilities. The Coaching and Learning Group
This INSPIRE award is partially funded by the Cyber-Human Systems Program in the Division of Information and Intelligent Systems in the Directorate for Computer Science and Engineering, the Gravitational Physics Program in the Division of Physics in the Directorate for Mathematical and Physical Sciences, and the Office of Integrative Activities.
This innovative project will develop a citizen science system to support the Advanced Laser Interferometer Gravitational wave Observatory (aLIGO), the most complicated experiment ever undertaken in gravitational physics. Before the end of this decade it will open up the window of gravitational wave observations on the Universe. However, the high detector sensitivity needed for astrophysical discoveries makes aLIGO very susceptible to noncosmic artifacts and noise that must be identified and separated from cosmic signals. Teaching computers to identify and morphologically classify these artifacts in detector data is exceedingly difficult. Human eyesight is a proven tool for classification, but the aLIGO data streams from approximately 30,000 sensors and monitors easily overwhelm a single human. This research will address these problems by coupling human classification with a machine learning model that learns from the citizen scientists and also guides how information is provided to participants. A novel feature of this system will be its reliance on volunteers to discover new glitch classes, not just use existing ones. The project includes research on the human-centered computing aspects of this sociocomputational system, and thus can inspire future citizen science projects that do not merely exploit the labor of volunteers but engage them as partners in scientific discovery. Therefore, the project will have substantial educational benefits for the volunteers, who will gain a good understanding on how science works, and will be a part of the excitement of opening up a new window on the universe.
This is an innovative, interdisciplinary collaboration between the existing LIGO, at the time it is being technically enhanced, and Zooniverse, which has fielded a workable crowdsourcing model, currently involving over a million people on 30 projects. The work will help aLIGO to quickly identify noise and artifacts in the science data stream, separating out legitimate astrophysical events, and allowing those events to be distributed to other observatories for more detailed source identification and study. This project will also build and evaluate an interface between machine learning and human learning that will itself be an advance on current methods. It can be depicted as a loop: (1) By sifting through enormous amounts of aLIGO data, the citizen scientists will produce a robust "gold standard" glitch dataset that can be used to seed and train machine learning algorithms that will aid in the identification task. (2) The machine learning protocols that select and classify glitch events will be developed to maximize the potential of the citizen scientists by organizing and passing the data to them in more effective ways. The project will experiment with the task design and workflow organization (leveraging previous Zooniverse experience) to build a system that takes advantage of the distinctive strengths of the machines (ability to process large amounts of data systematically) and the humans (ability to identify patterns and spot discrepancies), and then using the model to enable high quality aLIGO detector characterization and gravitational wave searches
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TEAM MEMBERS:
Vassiliki KalogeraAggelos KatsaggelosKevin CrowstonLaura TrouilleJoshua SmithShane LarsonLaura Whyte
Participants in this study reported a variety of resources used in the past to learn to code in Apex, including online tutorials, one-day classes sponsored by Salesforce, and meet-up groups focused on learning. They reported various difficulties in learning through these resources, including what they viewed as the gendered nature of classes where the men already seemed to know how to code—which set a fast pace for the class, difficulty in knowing “where to start” in their learning, and a lack of time to practice learning due to work and family responsibilities. The Coaching and Learning Group
Participants in this study reported a variety of resources used in the past to learn to code in Apex, including online tutorials, one-day classes sponsored by Salesforce, and meet-up groups focused on learning. They reported various difficulties in learning through these resources, including what they viewed as the gendered nature of classes where the men already seemed to know how to code—which set a fast pace for the class, difficulty in knowing “where to start” in their learning, and a lack of time to practice learning due to work and family responsibilities. The Coaching and Learning Group
Grassroots women's learn-to-code groups are springing up in many places. This infographic a study of one such group, in which more-knowledgeable "coaches" lead novice "learners" in learning software programming on the Salesforce platform. This study found that women create such groups to have supportive, non-threatening environments that nuture their learning to build confidence before entering male-dominated software development communities.
RUFF FAMILY SCIENCE is a project funded by the National Science Foundation (NSF) that aims to foster joint media engagement and hands-on science exploration among diverse, low-income parents and their 4- to 8-year-old children. The project is using a research and design process to create an implementation model and prototype resources (digital media, hands-on activities, and supports for educators) to build new knowledge about the potential for digital media to inspire and support intergenerational science learning among vulnerable families.
WGBH and Education Development Center, Inc. (EDC)
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TEAM MEMBERS:
Mary HaggertyHeather LavigneJessica AndrewsAlexia RaynalMarion GoldsteinJaime Gutierrez
Fostering greater inclusion in science creates benefits for both science and society. In this Innovations and Development project, the University of Utah will investigate how to sustain and scale the STEM Ambassador Program (STEMAP), begun in 2016 with AISL funding. STEMAP developed an innovative process to train scientists to engage members of the public, who cannot or do not gain access to science via conventional science education venues (such as museums, schools, zoos), by implementing activities in non-traditional settings. The 65 scientists trained by the initial STEMAP effort effectively engaged in over 45 settings including an affordable housing development, a youth residential treatment center, a state prison, a cooking class, a daycare facility, and several senior centers. The number of scientists applying to the program quickly exceeded STEMAP's capacity. Other institutions expressed interest in replicating the training. This project will explore strategies for scaling and sustaining public engagement training to support more scientists who can engage more people in more venues. Outcomes will serve to inform the broader implementation of STEMAP and the efforts of other public engagement programs, many of which face similar scaling and sustainability challenges.
Scaling and sustaining public engagement of science (PES) programs is a central challenge for many in the informal science learning community. This project will explore strategies to scale and sustain the STEM Ambassador Program. Research questions include: (1) How do different program formats increase or restrict program capacity and engagement outcomes? (2) What benefits accrue to scientists and their institutions by participating in public engagement in science activities that might serve as motivators to continue these activities? (3) Are funding and organizational models developed in business and other professional settings applicable to sustaining these programs? To address scalability, this project will explore the effectiveness of three dissemination formats: (1) the creation of a mentorship program for in-person trainees, (2) a train-the-trainer approach, and (3) online training with in-person mentorship. The project team will create an evaluation toolkit with participant surveys, rubrics for observers, and "on-the-spot" assessment tools developed under AISL Award 1811022 to assess the effectiveness of engagement activities delivered by trainees in each of the three formats. To address sustainability, the project team will document the values of public engagement training to both the participating scientists and their institutions via surveys and interviews. Consultants from the business sectors will create a PES Campus Council to explore possible financial, organizational, and leadership plans that will help sustain engagement efforts. Outcomes will be published in peer-reviewed journals and compiled into a dissemination framework to inform actions to scale and sustain STEMAP and other public engagement of science programs to engage more hard-to-reach audiences. Inverness Research will serve as the project's external evaluator.
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.
This project will research and develop the Circuit, a mobile phone and web-based application that will empower families and the general public to discover the broad spectrum of informal Science, Technology, Engineering and Mathematics (STEM) opportunities that exist in most communities. These informal STEM resources include science and children's museums, science and computer camps, maker spaces, afterschool programs, citizen science and much more. There is currently no "one-stop" searching for these resources. Instead, participants must conduct multiple, inefficient Internet searches to find the sought for STEM resources. The Circuit will enable users to efficiently search a rich informal STEM database, identifying resources by location, geography, age levels, science discipline, type of program and other factors. The Circuit builds on SciStarter, an existing online platform that connects thousands of prospective and active citizen scientists to citizen science projects. SciStarter has made possible the collection and organization of several thousand citizen science projects that would otherwise be scattered across the web. The Circuit will build on SciStarter's technical achievements in the citizen science sector, while systematically encompassing the offerings of established national networks. By integrating existing networks of informal STEM resources, the app will afford the public with unrivaled access to informal STEM opportunities, while collecting data that reveals patterns of engagement towards understanding factors of influence between different types of STEM experiences.
The app will provide researchers with new opportunities for researching how families and adults participate in the ecosystem of informal STEM resources in their communities. The Circuit will develop web tools to aggregate and organize digital content from trusted, currently siloed, informal STEM networks of content providers. These include science festivals, science and children's museums, the American Association for the Advancement of Science (AAAS), and Discover Magazine (3 million readers), the largest general interest science publication. Each content partner will feed the app with information directly or through their membership and encourage adoption of The Circuit within their respective communities. The project will design digital tools, including APIs (application program interfaces) to acquire and share digital content, embeddable tools to record and analyze data about movement, engagement, and persistence across domains, and social media tools and related APIs to distribute, track, and analyze content, engagement and demographics. (An API is a code that allows two software programs to communicate with each other.) The project will conduct small-scale, proof-of-conduct studies, to test the viability of the platform to support future, independent full-scale research. An analytics dashboard will be designed and tested with partners, researchers, and evaluators to ensure access to data on patterns of visits, clicks, referrals, searches, "joins," bookmarks, shares, contributions, user-locations, persistence, and more, within and across domains. Because each partner will feed their analytics into the shared dashboard, this will provide unprecedented and much-needed data to advance research in informal STEM learning. The Circuit will allow the tracking of patterns of engagement across networks and programs. Anonymized analytics of behavioral data from end users of The Circuit will support new approaches to advance evidence-based understanding of connected informal STEM learning by exhibiting engagement patterns across informal STEM domains. Through volunteer participation by the public, the Circuit will explore the geographic and demographic patterns of participants in the system, and derive important design lessons for its own and future efforts to create curated systems of connected learning across STEM education in informal settings.
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.