Snow: Tiny Crystals, Global Impact is a 2,500 ft traveling exhibition about: how snow shapes and sustains life on Earth, the impacts of climate change on snow, and the importance of our collective engagement to take action. The exhibition will be installed at OMSI during winter 2021-2022 for summative evaluation and learning research.
This poster was presented at the 2021 NSF AISL Awardee Meeting.
In July 2020, Dr. Brigid Barron and her team at Stanford University’s Graduate School of Education and the Joan Ganz Cooney Center convened a virtual workshop to mobilize a community of investigators to explore innovative methods for studying family and community learning during the pandemic. Participants included NSF RAPID-COVID grantees from Stanford University, University of Washington, and the University of Michigan.
This report summarizes the strategies and insights generated at this workshop so that they may be shared among a wider network of researchers, practitioners, funders, and
For both parents and educators, monitoring and adjusting their behaviors to ensure that children develop appropriate prosocial and learning behaviors is a complex balance between nurturance and limit setting. When these interactions are strained, negative or coercive cycles may emerge that delay appropriate development and exacerbate existing impairment. To disrupt the development of coercive cycles, adults must have the ability to accurately assess the quality of their interactions with children and integrate this information into personal change. Approaches to measuring these types of interactions will inform what we know about the mechanisms of child social, emotional, and learning development in STEM learning settings, and enable the creation of adaptive interventions for those moments when support is most needed. This project envisions a closed-loop intervention framework to promote a supportive and interactive environment around children. Smart wearables will sense interaction and responses between the children and their parents or educators, using embedded machine learning technology to recognize supportive behaviors. The perceived behaviors will be sent to a cloud server where adaptive interaction strategies will be identified from either online psychological consultation or artificial intelligence. These interaction strategies will then be provided to the parents and educators in the form of guidance cues to promote a supportive STEM learning environment around the children.
This planning project aims to understand the barriers and critical problems in the implementation of smart technology and psychological strategies to support adult-child interactions in STEM learning settings. The work will proceed by convening key stakeholders (parent organizations, formal educational institutions, and informal educational institutions) in a series of iterative discussions to produce a set of adult-child behavioral targets that are essential to children’s development of social, emotional, and learning skills. Further discussions will then identify mechanisms to enhance these behaviors, and reduce competing, less effective approaches. Qualitative thematic analysis of the discussions will be used to capture these behaviors and mechanisms. Then technologies will be developed to measure, provide feedback on, and improve these behaviors. These devices will be piloted with adult-child dyads. Audiovisual data collected by the devices will be human coded as well as processed by algorithms to vet the technological capacity of the devices to detect and respond to targeted behaviors. A series of debriefing interviews and surveys with adult-child dyads will be used to determine the feasibility, acceptability, and utility of the devices. The collected preliminary data will support the forming of critical technological and social science research questions that co-inform one another: questions about the social engagement between adults and children will drive the technical research, and what can be discovered via the technological research will open up new questions that can be posed about social engagement between children and adults. Adult-child interactions are key social factors that integrate to produce student social, emotional, and academic outcomes. Within our informal educational communities, our formal educational communities, and our familial communities it is essential to find the best mechanisms for measuring, providing feedback, and improving these interactions. This work thus seeks to advance a new approach to, and evidence-based understanding of, the development of STEM learning. This Smart and Connected Communities project is also supported by the Advancing Informal STEM Learning program, which seeks to (a) advance new approaches to and evidence-based understanding of the design and development of STEM learning in informal environments; (b) provide multiple pathways for broadening access to and engagement in STEM learning experiences; (c) advance innovative research on and assessment of STEM learning in informal environments; and (d) engage the public of all ages in learning STEM in informal environments.
Communication is an essential component to scientific inquiry, and specifically the primary literature is highly valued by scientists. Yet, the role of primary literature within scientific inquiry is generally absent from the science classroom. In this study we examined how middle and high school student perceptions of scientific inquiry changed after they engaged in a peer-review and publication process of their research papers. We interviewed twelve students who published their papers in the [Journal], a science journal dedicated to publishing the research of middle and high school students
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TEAM MEMBERS:
Sarah FankhauserGwendolynne ReidGwendolyn MirzoyanClara MeadersOlivia Ho-Shing
The goals of the project were to build an understanding about the perception of career and technical education (CTE) as an option for middle school students in pursuing skill-based STEM-related careers, and to use that information to develop an innovative suite of digital tools designed to improve mentors’ and school counselors’ communication with middle school–aged students.
Digital Observation Technology Skills (DOTS) is a framework for integrating modern, mobile technology into outdoor, experiential science education. DOTS addresses longstanding tensions between modern technology and classical outdoor education by carefully selecting appropriate digital technology for educational purposes and by situating these tools in classical experiential pedagogy.
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TEAM MEMBERS:
R. Justin HoughamMarc NutterCaitlin Graham
resourceprojectWebsites, Mobile Apps, and Online Media
The ACCEYSS (Association of Collaborative Communities Equipping Youth for STEM Success) Network and Model project, an NSF INCLUDES Design and Development Launch Pilot, at Texas State University is forming a university-community partnership between interdisciplinary researchers (ACCEYSS research team), faith leaders and other community partners to implement an innovative model that prepares underrepresented and underserved youth to pursue undergraduate science, technology, engineering, and mathematics (STEM) degrees. The inaugural ACCEYSS network will include Texas State University, San Marcos Consolidated Independent School District, San Marcos Youth Service Bureau, City of San Marcos-Office of the City Manager, Hays County Youth Initiative, the Calaboose African American History Museum, and several local faith-based organizations. Many historic advancements have been made through the efforts and activities of faith and community leaders uniquely poised to motivate and galvanize community-based action. A collaboration among these academic institutions, social/cultural organizations, and faith partners to work with the families and youth of underrepresented/underserved populations will be an essential asset for generating new perspectives and ideas for improving STEM academic and career outcomes related to broadening participation in the scientific enterprise.
During this launch pilot, the ACCEYSS research team and network will collaborate to design and develop the ACCEYSS model as a culturally-relevant, blended-learning strategy that integrates online and in-person STEM enrichment activities (e.g., summer institute, afterschool clubs) that are aligned with the Science and Engineering Practices and Disciplinary Core Ideas Dimensions of the K-12 Next Generation Science Education Standards. The collective impact framework will be used to build diverse capacity, leverage asset-based community development, and sustain mutually reinforcing non-exclusive policies and practices for STEM diversity and inclusion. Additionally, in this launch pilot, a multifaceted design-based research approach will be utilized to support middle and high school students' interest in and pursuit of STEM studies.
Charles Darwin is largely unknown and poorly understood as a historical figure. Similarly, the fundamental principles of evolution are often miss-stated, misunderstood, or entirely rejected by large numbers of Americans. Simply trying to communicate more facts about Darwin, or facts supporting the principles of evolution is inadequate; neither students nor members of the public will care or retain the information. On the contrary, building facts into a one-on-one conversational narrative creates an memorable opportunity to learn. Here, we create a digital-media, self-guided question and answer
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TEAM MEMBERS:
David J. LampeBrinley KantorskiJohn Pollock
The cyberlearning community in the United States brings computer scientists and learning scientists together to design and study innovative learning technologies. The Cyberlearning Community Report: The State of Cyberlearning and the Future of Learning With Technology highlights examples of the exciting work our community is engaged in as we integrate the latest innovations in learning science and computer science into new research designs and methods. This work is also driving the need for new learning sciences in areas such as embodied cognition, identity, and affect, and requires advances
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.
Purpose: The United States (U.S.) has traditionally produced the world’s top research scientists and engineers, leading to breakthrough advances in science and technology. Despite the importance of STEM careers, many U.S. students are not graduating with strong STEM knowledge, skills or interests, and the percentage of students prepared for or pursuing STEM degrees or careers is declining. Research shows that the decreased interest in STEM typically begins in the middle school years, pose significant academic and social challenges for students. This project will develop a web-based game teach 6th to 8th students key scientific inquiry skills, along with the academic mindsets and learning strategies to facilitate engagement and effective science learning.
Project Activities: The researchers will create a prototype by mapping key Next Generation Science Standards and learning goals with concepts and content, and producing a game design document. Following completion of the prototype, the researchers will finalize the server architecture, create the core code systems, concept art, and develop a prototype in order to simulate the final user experience. Iterative refinements will be conducted as needed at major production milestones until the game is fully functional. Once development is complete, the research team will assess the usability and feasibility, fidelity of implementation, and the promise of the game to improve outcomes in a pilot study. In this study, 200 students in 10 classes will participate, with 5 of the classrooms randomly assigned to use the game and 5 who will proceed as normal. All students will complete pre- and post- program surveys assessing their academic mindsets, learning strategies, and science skills.
Product: This project will develop SciSkillQuest, a web-based multiplayer game intended to teach middle school students scientific inquiry skills and to foster academic growth mindsets in science. Students will pursue quests, employing inquiry skills to navigate and succeed in the game, including Questioning, Modeling, Investigating, Analyzing, Computing, Explaining, Arguing, and Informing. The game will include different paths to a solution, role playing elements, immersive narratives, challenge-based progressions, and peer collaboration to engage players. The growth mindset message — that ability and skill are developed through effort and learning — will be introduced and reinforced through feedback by embedded in-game characters. The games will be supplemental to the curriculum but will also be designed to be integrated within instructional practice. The game will be available for mobile devices as well as web browsers.