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.
DATE:
-
TEAM MEMBERS:
Joan FreeseMomoko HayakawaBryce Becker
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.
DATE:
-
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: 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.
Hexacago Health Academy (HHA) is a game-based science and health curriculum intervention. HHA engages high school students in learning about and addressing major sexual and reproductive health issues and risk behaviors. A board game, Hexacago, depicting the city of Chicago with an overlay of hexagons is the cornerstone of HHA. Students use the board design games and think critically about public health problems in the city of Chicago. HHA uses game-play, interaction with STEM science and health professionals, and mentoring to create a rich, game-based learning experience for high school students. The object of HHA is to improve academic performance, increase science and health career interest, and improve health behaviors among youth living in Chicago.
Great Lakes Science Center (GLSC), home of the NASA Glenn Visitor Center, is dedicated to sharing NASA content to inform, engage, and inspire students, educators, and the public. To further this goal, GLSC will develop a digital experience focused on collaboration and teamwork, emphasizing the benefits of a systems approach to STEM challenges. At the recently, fully renovated NASA Glenn Visitor Center, GLSC visitors will embark on an exciting mission of discovery, working in teams to collect real data from NASA objects and experiences. Mobile devices will become scientific tools as students, teachers, and families take measurements, access interviews with NASA scientists, analyze results from Glenn Research Center (GRC) test facilities, and link to NASA resources to assemble mission-critical information. This initiative will provide experiences that demonstrate how knowledge and practice can be intertwined, a concept at the core of the Next Generation Science Standards. GLSC’s digital missions will engage students and families in STEM topics through the excitement of space exploration. In addition, this project has the potential to inform the design of future networked visitor experiences in science centers, museums and other visitor attractions.
Virtual Missions and Exoplanets (vMAX) will develop and test a three-dimensional, virtual world environment that will engage middle school students and educators from high-poverty schools in NASA-related exoplanet mission simulations. The Patricia and Phillip Frost Museum of Science will serve as the lead institution, in partnership with the following institutions: U.S. Space and Rocket Center, New York Hall of Science, Chabot Space & Science Center, and Sci-Port: Louisiana¹s Science Center; Aimee Weber Studios will be responsible for virtual exhibit fabrication, and WestEd will serve as the project¹s formative and summative evaluator. The overall goal of the project is to create a NASA resource on exoplanet astronomy that will engage students, educators, and the general public in NASA¹s search for worlds beyond our own. The project aims to increase underserved students¹ engagement in STEM, knowledge of exoplanet missions, and awareness of NASA-related careers; and advance the growing body of knowledge on the use of virtual world technologies to provide opportunities for students to participate in NASA Mission-related science teaching and learning. The project will result in the development of vMAX world, a virtual world with simulations related to exoplanet astronomy designed for use as the core content of a 30-hour out-of-school learning experience for middle school students. An Educator Implementation Guide will be developed and made available online for download by secondary school teachers and science museum educators. In addition, an interactive, multiuser exhibit kiosk, utilizing the simulations created for vMAX world, will be developed and made available to interested Visitor Centers, museums and planetariums.
Bridging Earth and Mars (BEAM): Engineering Robots to Explore the Red Planet engages the general public and K-8 students in exhibits and programs designed to foster awareness of robotic technology, computer programming, and the challenges and opportunities inherent in NASA missions and S-STEM careers. The Saint Louis Science Center (SLSC) of St. Louis, Missouri is the lead institution and project site; partners include Washington University in St. Louis, Saint Louis University, the St. Louis regional FIRST Robotics organization, and the Challenger Learning Center-St. Louis. Project goals are to: 1) inform, engage, and inspire the public to appreciate NASA’s Mission by sharing findings and information about NASA’s missions to Mars; 2) ignite interest in S-STEM topics and careers for diverse K-8 students; and, 3) encourage students in grades 6-8 to sustain participation in educational experiences along the S-STEM careers pipeline. The SLSC will design and build a Martian surface and panorama where two rovers can be remotely controlled. Visitors in the McDonnell Planetarium will use controllers to program rover exploration of the Martian landscape in real-time. Visitors in SLSC’s Cyberville gallery, located one-quarter mile away across a highway-spanning enclosed bridge, will program the second rover with simulated time lag and view its movements via a two-way camera system. SLSC will organize and host a series of Innovation Workshops for K-8 students, each featuring teamwork-building engineering challenges from current and updated NASA-based science curricula. Participants will be recruited from SLSC community partners, which include community centers and faith-based programs for underserved families.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative resources for use in a variety of settings. This project will develop and study a cyber-enhanced informal learning environment to improve observational practices and classification skills among citizen scientists. The project will focus on the taxonomic identification skills needed by volunteers to provide high-quality data for water quality monitoring of local streams, lakes, estuaries, wetlands, and ground water resources. To make the task of identifying freshwater insects easier and more engaging, the project will develop an innovative educational resource, the Macroinvertebrate Identification Training Environment, that will use zoomable high-resolution images, interactive media, and annotations of diagnostic features to improve perceptual skills. The goal is to increase the confidence and accuracy of volunteers engaged in identification tasks, while also increasing the reliability and quality of the data they are generating for purposes of scientific research and conservation efforts. This interdisciplinary design research and development project will use networked gigapixel image technology to create a visual environment where users can move seamlessly from full panoramic views of macroinvertebrates to extreme close-ups, with embedded text, images, graphics, audio, and video at various locations and zoom levels. This system will be developed in concert with a cognitive apprenticeship training model designed through a series of design studies. The design studies will be conducted over a two-year period and will include examination of the distinguishing features of various biomonitoring programs, reviews of existing training materials and strategies, expert performance analysis of professional entomologists, and development of user interface features. Project developers will collaborate with five regional volunteer biomonitoring organizations to engage a diverse set of volunteers in the design process, including rural populations, older adults, urban youth, and the trainers who support them. The project work will consist of four integrated strands of activity: design-based learning research, creation of an entomological teaching collection, cyberplatform development, and the external evaluation of the training system. The resulting Macroinvertebrate Identification Training Environment will be evaluated in terms of its impacts on volunteer accuracy, confidence, and engagement in taxonomic classification activities related to macroinvertebrates. The impacts of the learning system on trainers and volunteer biomonitoring organizations will also be examined.