This game is used to measure whether program participation helps to evelop the child’s ability to accurately predict or infer an animal’s emotional state.
This observational framework can be used with different group types (e.g. family, school group, adult couple, individual, etc.) and across diverse settings such as with public program audiences, camps, or guests at animal exhibits. The framework includes expressions of empathy and related emotions, such as curiosity or appreciation.
With funding from a Smithsonian Institution Youth Access Grant the National Museum of Natural History offered a program pipeline that would engage underserved Washington D.C. students in programming designed to encourage academic and career STEM interest. Beginning with collaboration with community educators, the pipeline funneled students into a Teen Night Out Science Night to interest them in science workshop series offered after school and on weekend and ultimately into volunteer and internship opportunities. This report provides detailed view of methods, analyses, results, and conclusions
The Field Museum contracted RK&A to conduct a summative evaluation of the Grainger Science Hub and the Discovery Squad Carts, two museum experiences facilitated by educators or trained volunteers. The goals of the study are to explore the extent to which visitors interact with programming in the Science Hub and at Discovery Squad Carts and the nature of those interactions, as well as visitor motivations and takeaways.
How did we approach this study?
RK&A conducted observations in the Science Hub and at Discovery Squad Carts to understand the nature of experiences at each. The
This is a summary description of the 2018 Summer Science Camp offered by the Morgridge Institute for Research at the Discovery Building on the UW-Madison campus. The camp has been offered annualy since 2007, and the 2018 evaluation produced some specific ideas for improving the camp. Since 2007, more than 300 students from rural Wisconsin high schools have attended the camp. This population has less access to the many educational advantages that regular internet access affords their urban counterparts. The science camp team is exploring how to carry out a study of camp alumni.
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.
This report summarizes evaluative findings from Computational Thinking in Ecosystems project, and the resulting product, i.e., a functional draft of a game called “The Pack.” Evaluative efforts included gathering feedback from key stakeholders—including members of the design based research (DBR) team members at the New York Hall of Science (NYSCI) along with advisors and project partners— about the game and the DBR process, as well as an independent assessment of the game via feedback from educators and a round of play-testing with youth.
Amazon Adventure is a giant screen film that tells the science adventure story of Henry Bates who travels to the Amazon in the 1850s to find evidence of species change. His quest turns into an 11-year journey in which he discovers 8,000 species new to science and what would be called “Batesian Mimicry”.
Why Zoos and Aquariums Matter (WZAM3) conference presentaiton slides for the 2018 ASTC Annual Conference (Hartford, CT) and the NAAEE 2018 Annual Conference and Research Symposium (Spokane, WA).