Hero Elementary is a transmedia educational initiative aimed at improving the school readiness and academic achievement in science and literacy of children grades K-2. With an emphasis on Latinx communities, English Language Learners, youth with disabilities, and children from low-income households, Hero Elementary celebrates kids and encourages them to make a difference in their own backyards and beyond by actively doing science and using their Superpowers of Science. The project embeds the expectations of K–2nd NGSS and CCSS-ELA standards into a series of activities, including interactive games, educational apps, non-fiction e-books, hands-on activities, and a digital science notebook. The activities are organized into playlists for educators and students to use in afterschool programs. Each playlist centers on a meaningful conceptual theme in K-2 science learning.
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TEAM MEMBERS:
Joan FreeseMomoko HayakawaBryce Becker
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
The Discovery Research K-12 program (DR-K12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models and tools (RMTs). Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects. This project scales up the PBS NewsHour Student Reporting Labs (SRL), a model that trains teens to produce video reports on important STEM issues from a youth perspective. Participating schools receive a SRL journalism and digital media literacy curriculum, a mentor for students from a local PBS affiliate, professional development for educators, and support from the PBS NewsHour team. The production of news stories and student-oriented instruction in the classroom are designed to increase student learning of STEM content through student-centered inquiry and reflections on metacognition. Students will develop a deep understanding of the material to choose the best strategy to teach or tell the STEM story to others through digital media. Over the 4 years of the project, the model will be expanded from the current 70 schools to 150 in 40 states targeting schools with high populations of underrepresented youth. New components will be added to the model including STEM professional mentors and a social media and media analytics component. Project partners include local PBS stations, Project Lead the Way, and Share My Lesson educators.
The research study conducted by New Knowledge, LLC will add new knowledge about the growing field of youth science journalism and digital media. Front-end evaluation will assess students' understanding of contemporary STEM issues by deploying a web-based survey to crowd-source youth reactions, interest, questions, and thoughts about current science issues. A subset of questions will explore students' tendencies to pass newly-acquired information to members of the larger social networks. Formative evaluation will include qualitative and quantitative studies of multiple stakeholders at the Student Reporting Labs to refine the implementation of the program. Summative evaluation will track learning outcomes/changes such as: How does student reporting on STEM news increase their STEM literacy competencies? How does it affect their interest in STEM careers? Which strategies are most effective with underrepresented students? How do youth communicate with each other about science content, informing news media best practices? The research team will use data from pre/post and post-delayed surveys taken by 1700 students in the STEM Student Reporting Labs and 1700 from control groups. In addition, interviews with teachers will assess the curriculum and impressions of student engagement.
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.
The Cyberlearning and Future Learning Technologies Program funds efforts that will help envision the next generation of learning technologies and advance what we know about how people learn in technology-rich environments. Cyberlearning Exploration (EXP) Projects explore the viability of new kinds of learning technologies by designing and building new kinds of learning technologies and studying their possibilities for fostering learning and challenges to using them effectively. This project brings together two approaches to help K-12 students learn programming and computer science: open-ended learning environments, and computer-based learning analytics, to help create a setting where youth can get help and scaffolding tailored to what they know about programming without having to take tests or participate in rigid textbook exercises for the system to know what they know.
The project proposes to use techniques from educational data mining and learning analytics to process student data in the Alice programming environment. Building on the assessment design model of Evidence-Centered Design, student log data will be used to construct a model of individual students' computational thinking practices, aligned with emerging standards including NGSS and research on assessment of computational thinking. Initially, the system will be developed based on an existing corpus of pair-programming log data from approximately 600 students, triangulating with manually-coded performance assessments of programming through game design exercises. In the second phase of the work, curricula and professional development will be created to allow the system to be tested with underrepresented girls at Stanford's CS summer workshops and with students from diverse high schools implementing the Exploring Computer Science curriculum. Direct observation and interviews will be used to improve the model. Research will address how learners enact computational thinking practices in building computational artifacts, what patters of behavior serve as evidence of learning CT practices, and how to better design constructionist programming environments so that personalized learner scaffolding can be provided. By aligning with a popular programming environment (Alice) and a widely-used computer science curriculum (Exploring Computer Science), the project can have broad impact on computer science education; software developed will be released under a BSD-style license so others can build on it.
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TEAM MEMBERS:
Shuchi GroverMarie BienkowskiJohn Stamper
Education stakeholders from advocates to developers are increasingly recognizing the potential of science games in advancing student academic motivation for and interest in science and science careers. To maximize this potential, the project will use science games (e.g. Land Science, River City, and EcoMUVE), shown to be enjoyable to students and proven to promote student learning in science at the middle school level. Through a two-phase process, games will be used as vehicles for learning about ways to change how students think about science and potentially STEM careers. The goal of the intervention is to explore which processes and design features of science games will actually help students move beyond a temporary identity of being a scientist or engineer (as portrayed while playing the game) to one where students began to see themselves in real STEM careers. Students' participation will be guided by teams of teachers, faculty members, and graduate students from Drexel University and a local school. All science students attending the local inner city middle school in Philadelphia, PA, will participate in the intervention.
Using an exploratory mixed-method design, the first two years of the project will focus on exploring, characterizing, coding, and analyzing data sets from three large games designed to help students think about possible careers in science. During year 3, the project will integrate lessons learned from the first two years into the existing middle school science curriculum to engage students in a one-year intervention using PCaRD (Play Curricular activity Reflection Discussion). During the intervention, the PI will work with experts from Drexel University and a local school to collect data on the design features of Land Science to capture identity change in the science identity of the participating students. Throughout the course of year 3, the PI will observe, video, interview, survey, and use written tasks to uncover if the Land Science game is influencing students' identity in any way (from a temporary to a long-term perspective about being a scientist or engineer). Data collected during three specified waves during the intervention will be compared to analyses of existing logged data through collaborations with researchers at Harvard University and the University of Wisconsin-Madison. These comparisons will focus on similar middle-aged science students who used the same gaming environments as the students involved in this study. However, the researcher will intentionally look for characteristics related to motivation, science knowledge, and science identity change.
This project will integrate research and education to investigate learning as a process of change in student science identity within situated environmental contexts of digital science gameplay around curricular and learning activities. This integrated approach will allow the researcher to explore how gaming is inextricably linked to the student as an individual while involved in the learning of domain specific content in science. The collaboration among major university and school partners; the expertise of the researcher in educational psychology, educational technology, and science games; and the project's advisory board makes this a real-life opportunity for the researcher to use information that naturally exists in games to advance knowledge in the field about the value of gaming to changing students' science identities. It also responds to reports by the National Research Council committee on science learning and computer games, which identifies games as having the potential to catalyze new approaches to science learning.
This project, conducted by the University of Pittsburgh and the University of California, Berkeley, seeks to discover what makes middle school students engaged in science, technology, engineering, and mathematics (STEM). The researchers have developed a concept known as science learning activation, including dispositions, practices, and knowledge leading to successful STEM learning and engagement. The project is intended to develop and validate a method of measuring science learning activation.
The first stage of the project involves developing the questions to measure science activation, with up to 300 8th graders participating. The second stage is a 16-month longitudinal study of approximately 500 6th and 8th graders, examining how science learning activation changes over time. The key question is what are the influencers on science activation, e.g., student background, classroom activities, and outside activities.
This project addresses important past research showing that middle school interest in STEM is predictive of actually completing a STEM degree, suggesting that experiences in middle school and even earlier may be crucial to developing interest in STEM. This research goes beyond past work to find out what are the factors leading to STEM interest in middle school.
This work helps the Education and Human Resources directorate, and the Division of Research on Learning, pursue the mission of supporting STEM education research. In particular, this project focuses on improving STEM learning, as well as broadening participation in STEM education and ultimately the STEM workforce.
Over three years beginning in January 2016, the Science Museum of Virginia will launch a new suite of public programming entitled “Learn, Prepare, Act – Resilient Citizens Make Resilient Communities.” This project will leverage federally funded investments at the Museum, including a NOAA-funded Science On a Sphere® platform, National Fish and Wildlife-funded Rainkeepers exhibition, and the Department of Energy-funded EcoLab, to develop public programming and digital media messaging to help the general public understand climate change and its impacts on Virginia’s communities and give them tools to become resilient to its effects. Home to both the delicate Chesapeake Bay ecosystem and a highly vulnerable national shoreline, Virginia is extremely susceptible to the effects of climate change and extreme weather events. It is vital that citizens across the Commonwealth understand and recognize the current and future impacts that climate variability will have on Virginia’s economy, natural environment, and human health so that they will be better prepared to respond. In collaboration with NOAA Chesapeake Bay Office, George Mason University’s Center for Climate Change Communication, Virginia Institute for Marine Science, Public Broadcasting Service/National Public Radio affiliates, and Resilient Virginia, the Museum will use data from the National Climatic Data Center and Virginia Coastal Geospatial and Educational Mapping System to develop and deliver new resiliency-themed programming. This will include presentations for Science On a Sphere® and large format digital Dome theaters, 36 audio and video digital media broadcast pieces, two lecture series, community preparedness events, and a Resiliency Checklist and Certification program. This project supports NOAA’s mission goals to advance environmental literacy and share its vast knowledge and data with others.
Purpose: This project team will develop and test Zaption, a mobile and desktop platform designed to support educators in effectively and efficiently utilizing video (e.g., from YouTube, Vimeo, or their own desktop) as an interactive teaching and learning object. Personalized learning devices (e.g., smartphones, tablets) populated with video content provide opportunities for students to access educationally-meaningful content anywhere and anytime. Yet, video has yet to realize its potential as a learning tool in or out of the classroom. One reason for this is that watching video can be a passive experience for students, whereas learning requires active engagement. A second reason is that even if students are actively engaged while watching a video, there is no easy way to elicit student responses to a video. And finally, there is no easy way to feed student responses to teachers as formative assessment data to guide subsequent instruction.
Project Activities: During Phase I, (completed in 2014), the team expanded a pre-existing prototype by building a mobile app to enable anytime use and increase its functionality for teachers. At the end of Phase I, pilot research with 150 students in 7 classrooms demonstrated that the prototype operated as intended, teachers were able to integrate the videos within instructional practice, and students found the mobile app helpful and engaging. In Phase II, the team will add additional components to the prototype and will develop content-specific modules for use in high school physics classes. After development is complete, the research team will conduct a larger pilot study to assess the feasibility and usability, fidelity of implementation, and the promise of the Zaption for supporting student's physics learning. The study will include 32 Grade 10 physics classrooms, half of whom will be randomly assigned to use Zaption and half of whom will follow business as usual procedures. Analyses will compare pre-and-post scores of student's physics learning.
Product: Zaption will be a mobile and web-based platform to support the use of any video (e.g., from YouTube, Vimeo, or their own desktop) as a teaching and learning tool. Zaption will include an authoring engine where users can find and select video clips and easily insert interactive elements such as questions, discussions, and annotations into the videos. Users will then publish videos directly on Zaption's website, or on any learning management system or classroom website. Students will be able to view videos as homework or in class, respond individually to the questions and prompts, and get feedback on their responses. Teachers will use Zaption Analytics to receive immediate and actionable data showing whether students actually watched and engaged with a video, and how students responded to the questions and prompts.
Purpose: This project will develop and test Eco, an online multiplayer virtual environment and game designed to enhance middle school students' knowledge of ecology and environmental literacy. This is important because according to the 2011 National Assessment of Educational Progress, students in the United States ranked 17th in science among the world's most developed countries, and over a third of eighth-graders scored below basic level, the lowest performance level. The Framework for 21st Century Skills presents the need for education materials that engage students and use technology effectively, meet rigorous content and skill standards, foster interdisciplinary work, and promote collaborative problem solving.
Project Activities: During Phase I (completed in 2014), the team developed a prototype of Eco consisting of a system architecture that enabled user-controlled avatars to complete basic tasks. At the end of Phase I, a pilot study with 60 students from five classrooms demonstrated that the prototype functioned as intended, that students found the game to be engaging, and that students were able to collaborate with classmates during gameplay. In Phase II the developers will strengthen functionality, add content, and build a teacher dashboard to track student data and house implementation resources. After development is complete, the team will conduct a pilot study to assess the feasibility and usability, fidelity of implementation, and the promise of the game for promoting students' ecosystem learning and environmental literacy. The researchers will collect data from 150 students in 10 classrooms. Half of the classrooms will be randomly assigned to use Eco to supplement standard classroom instruction while the other half will continue with normal practice. Analyses will compare pre-and-post scores of student's ecology knowledge and environmental literacy.
Product: Eco will be a multi-player game to teach standards in ecology and prepare middle schools students to be environmentally literate citizens. To play the game, students will enter a shared online world featuring a simulated ecosystem of plants and animals. Students will co-create a civilization by measuring, modeling, and analyzing the underlying ecosystem. Students will advocate for proposed plans to classmates and make decisions as a group. Cooperation and science-based decision making activities will occur, in order to prevent the destruction of the environment. The game will include teacher resources to support the alignment of game play to learning goals, and implementation.
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.
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.