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
resourceprojectProfessional Development, Conferences, and Networks
The University of Washington, the Exploratorium, the Education Development Center, Inverness Research, and the University of Colorado - Boulder have come together to form a Research+Practice (R+P) Collaboratory. The Collaboratory seeks to address and reframe the gap between research and practice in K-12 STEM education. This gap persists despite decades of work by many leading organizations, associations, and individuals. Attempts to close the gap have generally focused on creating resources and mechanisms that first explain or illustrate "what research says" and then invite educators to access and integrate findings into practice. Recently, however, attention has turned to the ways in which the medical sciences are addressing the gap between research and clinical practice through the developing field of "translational research." In medicine, the strategy has been to shift the focus from adoption to adaptation of research into practice. Implicit in the notion of adaptation is a bi-directional process of cultural exchange in which both researchers and practitioners come to understand how the knowledge products of each field can strengthen the professional activities in the other. Along these lines, the R+P Collaboratory is working with leading professional associations and STEM improvement efforts to leverage their existing knowledge and experience and to build sustainable strategies for closing the gap. Activities include:
Collecting, creating and synthesizing translational research resources to expand STEM educators' and educational leaders' access and awareness to current relevant research.
Supporting multiple opportunities for cross-sector (research and practice; education and social sciences; formal and informal) meetings to foster critical engagement and cultural exchange.
Testing, documenting and innovating new resources and mechanisms at Adaptation Sites and disseminating both products and results through the R+P Resource Center.
The R+P Collaboratory is developing an online 'Go-To' Resource Center website that houses the resources collected, created, and curated by the Collaboratory. The Resource Center also has significant 'Take-Out' features, with all materials meta-tagged so that they can be automatically uploaded, reformatted, and integrated into the existing communication and professional development mechanisms (e.g., newsletters, digests, conferences, and websites) of a dozen leading professional associations within a Professional Association Partner Network.
In light of new and emerging standards in the STEM disciplines, the Collaboratory is focusing its work on four salient and timely bodies of research: (a) STEM Practices, (b) Formative Assessment, (c) Cyberlearning, and (d) Learning as a Cross-Setting Phenomenon. Special emphasis is being placed on research and practice that focuses on the learning of children and youth from communities historically underrepresented in STEM fields.
The work of the R+P Collaboratory includes research and evaluation of its own efforts through studies aimed at answering the following questions:
How are Collaboratory resources and engagement activities accessed, experienced and leveraged by participants?
What resources, mechanisms and learning contexts support cultural exchange among STEM education researchers and practitioners?
What new kinds of practices result when research-based evidence is adapted into evidence-based practices, and how does it change learning opportunities for K-12 aged children?
How can effective strategies, mechanisms and resources of the Collaboratory be scaled and adapted to new contexts?
Computational Thinking (CT) is a relatively new educational focus and a clear need for learners as a 21st century skill. This proposal tackles this challenging new area for young learners, an area greatly in need of research and learning materials. The Principal Investigators will develop and implement integrated STEM+C museum exhibits and integrate CT in their existing engineering design based PictureSTEM curriculum for K-2 students. They will also pilot assessments of the CT components of the PictureSTEM curriculum. This work will make a unique contribution to the available STEM+C learning materials and assessments. There are few such materials for the kindergarten to second grade (K-2) population they will work with. They will research the effects of the curriculum and the exhibits with a mixed methods approach. First, they will collect observational data and conduct case studies to discover the important elements of an integrated STEM+C experience in both the formal in-school setting with the curriculum and in the informal out-of-school setting with families interacting with the museum exhibits. This work will provide a novel way to understand the important question of how in- and out-of-school experiences contribute to the development of STEM and CT thinking and learning. Finally, they will collect data from all participants to discover the ways that their activities lead to increases in STEM+C knowledge and interest.
The Principal Investigators will build on an integrated STEM curriculum by integrating CT and develop integrated museum exhibits. They base both activities on engineering design implemented through challenge based programming activities. They will research and/or develop assessments of both STEM+C integrated thinking and CT. Their research strategy combines Design Based Research and quantitative assessment of the effectiveness of the materials for learning CT. In the first two years of their study, they will engage in iterations on the design of the curriculum and the exhibits based on observation and case-study data. There will be 16 cases that draw from each grade level and involve data collection for the case student in both schools and museums. They will also use this work to illuminate what integrated STEM+C thinking and learning looks like across formal and informal learning environments. Based in some part on what they discover in this first phase, they will conduct the quantitative assessments with all (or at least most) students participating in the study
In 2018, the Croucher Foundation conducted its third annual mapping exercise for the out-of-school STEM learning ecosystem in Hong Kong.
The study reveals a rich and vibrant ecosystem for out-of-school STEM in Hong Kong with over 3,000 discrete activities covering a very wide range of science disciplines. This third report indicates extremely rapid growth in available out-of-school STEM activities compared to 2016 and an even larger increase in the number of organisations offering out-of-school STEM activities in Hong Kong.
STEM educators are eager to foster long term collaboration with each other, and with schools. At the same time, good working practice by schools, teachers, STEM educators and institutions that involves and engages local communities was discovered, showing the diversified modes of connection which could enhance the sustainability of STEM ecosystem.
We trust that this three-year study with its associated digital maps, provides a useful resource for schools, teachers, students, parents, STEM educators and education policy makers in Hong Kong.
The Computational Thinking in Ecosystems (CT-E) project is funded by the STEM+Computing Partnership (STEM+C) program, which seeks to advance new approaches to, and evidence-based understanding of, the integration of computing in STEM teaching and learning. The project is a collaboration between the New York Hall of Science (NYSCI), Columbia University's Center for International Earth Science Information Network, and Design I/O. It will address the need for improved data, modeling and computational literacy in young people through development and testing of a portable, computer-based simulation of interactions that occur within ecosystems and between coupled natural and human systems; computational thinking skills are required to advance farther in the simulation. On a tablet computer at NYSCI, each participant will receive a set of virtual "cards" that require them to enter a computer command, routine or algorithm to control the behavior of animals within a simulated ecosystem. As participants explore the animals' simulated habitat, they will learn increasingly more complex strategies needed for the animal's survival, will use similar computational ideas and skills that ecologists use to model complex, dynamic ecological systems, and will respond to the effects of the ecosystem changes that they and other participants elicit through interaction with the simulated environment. Research on this approach to understanding interactions among species within biological systems through integration of computing has potential to advance knowledge. Researchers will study how simulations that are similar to popular collectable card game formats can improve computational thinking and better prepare STEM learners to take an interest in, and advance knowledge in, the field of environmental science as their academic and career aspirations evolve. The project will also design and develop a practical approach to programing complex models, and develop skills in communities of young people to exercise agency in learning about modeling and acting within complex systems; deepening learning in young people about how to work toward sustainable solutions, solve complex engineering problems and be better prepared to address the challenges of a complex, global society.
Computational Thinking in the Ecosystems (CT-E) will use a design-based study to prototype and test this novel, tablet-based collectable card game-like intervention to develop innovative practices in middle school science. Through this approach, some of the most significant challenges to teaching practice in the Next Generation Science Standards will be addressed, through infusing computational thinking into life science learning. CT-E will develop a tablet-based simulation representing six dynamic, interconnected ecosystems in which students control the behaviors of creatures to intervene in habitats to accomplish goals and respond to changes in the health of their habitat and the ecosystems of which they are a part. Behaviors of creatures in the simulation are controlled through the virtual collectable "cards", with each representing a computational process (such as sequences, loops, variables, conditionals and events). Gameplay involves individual players choosing a creature and habitat, formulating strategies and programming that creature with tactics in that habitat (such as finding food, digging in the ground, diverting water, or removing or planting vegetation) to navigate that habitat and survive. Habitats chosen by the participant are part of particular kinds of biomes (such as desert, rain forest, marshlands and plains) that have their own characteristic flora, fauna, and climate. Because the environments represent complex dynamic interconnected environmental models, participants are challenged to explore how these models work, and test hypotheses about how the environment will respond to their creature's interventions; but also to the creatures of other players, since multiple participants can collaborate or compete similar to commercially available collectable card games (e.g., Magic and Yu-Go-Oh!). NYSCI will conduct participatory design based research to determine impacts on structured and unstructured learning settings and whether it overcomes barriers to learning complex environmental science.
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.
San Francisco Health Investigators (SF HI), developed and led by the Science & Health Education Partnership at UC San Francisco, will use a community-based participatory research model to provide authentic research experiences for high school students, the majority from backgrounds underrepresented in the sciences.
SF HI will:
1) Develop a community of high school Student Researchers who will conduct research into health issues in their communities, study how adolescents respond to health messages, create new health messages informed by this research, and study the broader impacts of the materials they develop.
2) Partner with educational researchers to research the effects of SF HI on the high school student participants and the impact of the materials on the broader community.
3) Disseminate those materials shown to have the greatest impact nationally.
4) Publish results on the public understanding and awareness of health issues in peer-reviewed journals and other forums to inform and advance the field of public health.
The SF HI model is designed to leverage students’ cultural and technological knowledge and their social capital in the role of Student Researchers as they study the awareness, knowledge and attitudes about current health issues in their communities. It will have a broad range of impacts. Over the course of the project, 100 urban public high school students will be immersed in research projects that have the potential to directly benefit the health of their communities. These Student Researchers will design health messages informed by their social, cultural, and community knowledge and by their research results. They will collectively survey more than 8,500 community members – their peers, neighbors, and attendees at public gatherings to assess the effectiveness of these materials. Student-developed materials will be distributed broadly via the web, high school and college wellness centers, the NIH SEPA community, and other networks – thus these materials have the potential to reach over 1.5 million adolescents and young adults over the life of the project.
This project by teams at the University of Alaska and the Oregon Museum of Science and Industry will engage the public in the topic of the nature and prevalence of permafrost, its scale on the earth and the important role it plays in the global climate. It builds on 50 years of informal education and outreach at the Alaskan Permafrost Tunnel near Fairbanks, AK, which, since the 1960s, has been the Nation's only underground facility for research related to permafrost and climate. The project has four components: (1) a nationally distributed 2,000 square-foot traveling exhibition; (2) exhibit and program enhancements to the learning opportunities at the tunnel; (3) programs, table-top exhibits and oral history research in 27 Native Alaskan villages; and (4) an education research study. Each of these components will be evaluated over the course of the work. By upgrading the displays at the tunnel, and by taking traveling programs to the villages, the work will extend the tunnel experience across Alaska. In the villages the team will collect stories about climate change, along with samples of real ancient ice and permafrost. These stories and materials will be used in the traveling exhibit which is expected to be at three museums per year for eight years. The research component of the initiative will build on the observation to date that the tunnel has provided thousands of visitors with an underground immersive environment where they learn about the science research being conducted and engage with climate-sensitive materials (e.g., permafrost, wedge ice, frozen silt, Pleistocene bones) using all of their senses. It has been conjectured that their learning experiences are enhanced by interacting with real vs. replicated objects. As museums often contain exhibits that are more likely to contain replicated and/or virtual objects and environments, understanding the impact that these different categories of objects have on learning is important. Using both types of materials, the project will investigate differences in their efficacy in informal science learning institutions related to climate change. Real objects are postulated to have the following attributes that stimulate fuller engagement; they are (1) information-rich by virtue of such features as their texture, odor, and dimensionality; (2) at real-life scale; (3) authentic, i.e., original objects; and (4) often unique, i.e., have inherent value. Research questions will explore the potential impacts on learning of these and related features. Methods employed will be observation, video, and interviews of the public with a particular focus on visitor talk with respect to explanations and elaborations about permafrost, tipping points, climate change, and geological time.