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
The goal of this project is to promote informal STEM education in polar research through a novel interactive learning display that uses virtual and augmented reality technology. A new display system will be developed that combines the successful techniques of touch-enabled tabletop displays with new low-cost, head-mounted display technology to deliver an immersive 3D learning experience for the IceCube Neutrino Detection system located at the South Pole. The system will provide new means for engaging the public in learning about the IceCube Neutrino Dectection system and the challenges of Antarctic research.
The proposal relies on collaboration between three groups on the University of Wisconsin- Madison campus, including the Living Environments Laboratory (LEL), the Wisconsin IceCube Particle Astrophysics Center (WIPAC), and the Games Learning Society (GLS). Once developed, the display system will be installed at the Wisconsin Institutes for Discovery Town Center, a public space that attracts close to 50,000 people per year. This proposal was submitted as an Exploratory Pathways proposal, meaning that it represents a chance to establish the basis for future research, design, and development of innovations or approaches. Outcomes from this project will inform the PIs of how best to extend the system to add more 3D environments for other research locations in Antarctica. The system will be implemented in an extensible fashion so that a user can select from one of several Antarctic research station locations, not just IceCube, from the main menu of the system and suddenly be immersed in a 3D world that seeks to teach users about polar research at that location. Contents of the interactive learning display will be translated into Spanish, and users will be able to choose which language they want to use. Evaluations of the system will also inform designers about how these museum-type systems impact learning outcomes for the general public.
This project was submitted to the Advancing Informal STEM Learning (AISL) program, but will be funded by the Division of Polar Programs. AISL seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.
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.
In March of 2016, a total solar eclipse occurred in the southwestern pacific; and in August of 2017, a total solar eclipse occurred across a broad swath of the United States. The Exploratorium launched a 2.5 year public education program—Navigating the Path of Totality—that used these two total solar eclipses as platforms for sparking public engagement and learning about the Sun, heliophysics, and the STEM content related to both. These sequential eclipses provided an unprecedented opportunity to build and scaffold public engagement and education. Our strategy was to start the public engagement process with the 2016 eclipse, nurture that engagement with resources, activities and outreach during the 17 months between the eclipses, so that audiences (especially in the U.S., where totality was visible in multiple areas across the country) would be excited, actively interested, and prepared for deeper engagement during the 2017 eclipse. For the August 2017 eclipse, the Exploratorium produced live telescope and program feeds from Madras, OR and Casper, WY. The Exploratorium worked with NASA to leverage what was a once-in-a-lifetime experience for millions to bring heliophysics information and research to students, educators, and the public at large through a variety of learning experiences and platforms.
The core of this project was live broadcasts/webcasts of each eclipse. To accomplish these objectives, the Exploratorium produced and disseminate live feeds of telescope-only images (no commentary) of each eclipse originating them from remote locations; produce and disseminate from the field live hosted broadcasts/webcasts of each eclipse using these telescope images; design and launch websites, apps, videos, educator resources, and shareable online materials for each eclipse; design and deliver eclipse themed video installations for our Webcast studio and Observatory gallery in the months that lead up to each eclipse and a public program during each eclipse; and conduct a formative and summative evaluation of the project.
These broadcasts/webcasts and pre-produced videos provide the backbone upon which complementary educational resources and activities can be built and delivered. Programs and videos were produced in English and Spanish languages. As a freely available resource, the broadcasts/webcasts also provide the baseline content for hundreds if not thousands of educational efforts provided by other science-rich institutions, schools, community-based organizations, and venues. Platforms such as NASA TV and NASA website, broadcast and online media outlets such as ABC, NBC, CBS, CNN, MSNBC and PBS, as well as hundreds of science institutions and thousands of classrooms streamed the Exploratorium eclipse broadcasts as part of their own educational programming, reaching 63M people. These live broadcasts were relied upon educational infrastructure during total solar eclipses for institutions and individuals on the path and off the path alike.
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.
The aim of the study was to analyse learning using Augmented Reality (AR) technology and the motivational and cognitive aspects related to it in an informal learning context. The 146 participants were 11- to 13-year-old Finnish pupils visiting a science centre exhibition. The data, which consisted of both cognitive tasks and self-report questionnaires, were collected using a pre- post-test design and were analysed by SEM path-analysis. The results showed that AR-technology experience was beneficial for all, but especially for the lowest-achieving group and for the girls. In general, pre
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TEAM MEMBERS:
Hannu SalmiHelena ThunebergMari-Pauliina Vainikainen
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.
Purpose: Purpose: This project team will fully develop and test Teachley Connect, a platform that syncs a variety of third-party math games to give elementary schools formative assessment data and intervention support. Mobile math games provide opportunities for students to access educationally-meaningful content in and out of the classroom and to supplement instruction. There are a number of examples of math apps that show promise for supporting and assessing student learning in different areas of mathematics, yet few apps in the marketplace provide meaningful data that teachers can use. Many games provide an overall score at the end of the session, but do not help teachers know what skills students are struggling with or how to provide additional support.
Project Activities: During Phase I, (completed in 2015), the team developed a prototype of Teachley Connect, which enables the secure transfer of game and learning data between third-party math games and the Teachley servers. At the end of Phase I, researchers completed a pilot study with 20 students and two teachers and demonstrated that the prototype operated as intended with important trends indicating that the system promotes student engagement and less time spent seeking help. In Phase II, the team will add additional third party math apps to the platform, strengthen the backend management system to tag user game-play data, and build out the teacher reporting dashboard to inform instruction and identify apps to address particular student and class needs. 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 Teachley Connect for teachers to use formative assessment data to inform classroom practice, select apps to address individual student needs, and support student math learning. The study will include 12 (grade K to 3) classrooms and randomly assign them into one of three groups: 1) apps only, 2) Teachley-enabled apps, or 3) Teachley-enabled apps + data. Researchers will compare pre-and-post scores of student's math learning, classroom observations, and teacher surveys/interviews.
Product: Teachley Connect will be a mobile tablet-based platform that uses games to give elementary schools rich formative assessment data and intervention support. Teachley Connect will permit students to continue playing exactly where they left off on any tablet. The platform will also connect apps into a single teacher dashboard, providing teachers detailed reports on student performance across games, with insights for informing individual or whole group instruction. The platform will include teacher resources to support the alignment of game play with learning goals and to support implementation.
Purpose: The team will fully develop and test three puzzle-based math games that adaptively assess and support student learning in middle school classrooms. A principle objective of middle school math is to prepare students for more complicated and advanced STEM topics, providing the foundation for a wide variety of college majors and careers. Students who struggle in math in grade 5 and 6 are more likely to show deficits as coursework turns to topics in algebra. However, in many classrooms, commonly used progress monitoring instruments often do not adjust in ease or difficulty based on student performance, and do not provide data teachers can use to tailor instruction to meet the needs of students.
Project Activities: During Phase I (completed in 2015), the team developed a prototype of an adaptive engine for Wuzzit Trouble, a previously developed app where players rotate a virtual wheel to solve puzzles by applying number sense mathematical strategies. The engine tailors gameplay to the skill level of individual students in real time, providing tips and support to students having difficultly or by making challenges more difficult for those who master puzzles. The research team conducted a pilot study at the end of Phase I in order to test the prototype. A little more than 200 grade 5 and 6 students and six teachers participated over two weeks. Researchers found that the prototype functioned as intended and that teachers successfully used the game before, during, and after class as a supplement to instruction. They learned that 65% of students enjoyed using the prototype and 46% indicated that the game adjusted to the right level of difficulty during gameplay. In Phase II, the team will develop two new games on topics including algebraic thinking and problem solving, will strengthen and validate the adaptive engine, and will build out the dashboard to report formative and summative assessment results. After development is complete, the researchers will carry out a larger pilot study to assess the usability and feasibility, fidelity of implementation, and promise of the three games to improve student learning over a 9-week period. Thirty-two grade 5 and 6 math classrooms from 16 schools will participate. One classroom from each school will be randomly assigned to use the games and half will continue with business-as-usual procedures. The researchers will compare pre-and-post scores for student learning on standardized measures of pre-algebra topics. They will also track teacher implementation.
Product: The final product will include a suite of three app-based puzzle games aligned to national math standards for number sense, algebraic thinking, and problem solving. The games will be designed for use in grade 5 and 6 classrooms where students develop and apply content expertise to solving challenges. The games will include an adaptive engine that assesses and adjusts content based on student level of performance, a back-end system to organize data, and a reporting dashboard to present measures of student performance, persistence, and creativity. The project team will also develop teacher resources for suggesting how to incorporate games and activities into classroom instructional practice to reinforce lesson plans and learning.