The Year in ISE is a slidedoc designed to track and characterize field growth, change and impact, important publications, and current topics in ISE in 2018. Use it to inform new strategies, find potential collaborators for your projects, and support proposal development. Scope This slidedoc highlights a selection of developments and resources in 2018 that were notable and potentially useful for the informal STEM education field. It is not intended to be comprehensive or exhaustive, nor to provide endorsement. To manage the scope and length, we have focused on meta analyses, consensus reports
This CAISE report is designed to track and characterize sector growth, change and impact, important publications, hot topics/trends, new players, funding, and other related areas in Informal STEM Education (ISE) in 2017. The goal is to provide information and links for use by ISE professionals, science communicators, and interested stakeholders who want to discover new strategies and potential collaborators for project and proposal development. Designed as a slide presentation and divided into sectors, it can be used modularly or as a complete report. Each sector reports on research, events
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches, and resources for use in a variety of settings. The proposed project broadens the utility of Public Participation in Scientific Research (PPSR) approaches, which include citizen science, to support new angles in informal learning. It also extends previous work on interactive data visualizations in museums to encompass an element of active contribution to scientific data. To achieve these goals, this project will develop and research U!Scientist (pronounced `You, Scientist!')--a novel approach to using citizen science and learning research-based technology to engage museum visitors in learning about the process of science, shaping attitudes towards science, and science identity development. Through the U!Scientist multi-touch tabletop exhibit, visitors will: (1) interact with scientific data, (2) provide interpretations of data for direct use by scientists, (3) make statements based on evidence, and (4) visualize how their data classifications contribute to globe-spanning research projects. Visitors will also get to experience the process of science, gaining efficacy and confidence through these carefully designed interactions. This project brings together Zooniverse, experts in interactive design and learning based on large data visualizations in museums, and leaders in visitor experience and learning in science museums. Over fifty thousand museum visitors are expected to interact annually with U!Scientist through this effort. This impact will be multiplied by packaging the open-source platform so that others can easily instantiate U!Scientist at their institution.
The U!Scientist exhibit development process will follow rapid iterations of design, implementation, and revision driven by evaluation of experiences with museum visitors. It will involve close collaboration between specialists in computer science, human-computer interaction and educational design, informal science learning experts, and museum practitioners. The summative evaluation will be based on shadowing observations, U!Scientist and Zooniverse.org logfiles (i.e., automated collection of user behavior metrics), and surveys. Three key questions will be addressed through this effort: Q1) Will visitors participate in PPSR activities (via the U!Scientist touch table exhibit) on the museum floor, despite all the distractions and other learning opportunities competing for their attention? If so, who engages, for how long, and in what group configurations? Q2) If visitors do participate, will they re-engage with the content after the museum visit (i.e., continue on to Zooniverse.org)? Q3) Does engaging in PPSR via the touch table exhibit--with or without continued engagement in Zooniverse.org after the museum visit--lead to learning gains, improved understanding of the nature of science, improved attitudes towards science, and/or science identity development?
There is a vast terrain of emerging research that explores recent innovations in digital games, particularly as they relate to questions of teaching and learning science. One such game, Citizen Science, was developed to teach players about the practice of citizen science as well as lake ecology. Citizen science is a pedagogy that has a long history within the scientific community, engaging the public in ongoing community and environmental surveys to collect data for existing small-scale studies. More recently, citizen science has gained traction as an educational context for teaching and
The Jackprot is a didactic slot machine simulation that illustrates how mutation rate coupled with natural selection can interact to generate highly specialized proteins. Conceptualized by Guillermo Paz-y-Miño C., Avelina Espinosa, and Chunyan Y. Bai (New England Center for the Public Understanding of Science, Roger Williams University and the University of Massachusetts, Dartmouth), the Jackprot uses simplified slot-machine probability principles to demonstrate how mutation rate coupled with natural selection suffice to explain the origin and evolution of highly specialized proteins. The
The University of Pittsburgh's Center for Learning in Out-of-School Environments (UPCLOSE), the Carnegie Museum of Natural History, and the Robotics Institute at Carnegie Mellon University are building an open access cyberlearning infrastructure that employs super high-resolution gigapixel images as a tool to support public understanding, participation, and engagement with science. Networked, gigapixel image technology is an information and communication technology that creates zoomable images that viewers can explore, share, and discuss. The technology presents visual information of scientifically important content in such detail that it can be used to promote both scientific discovery and education. The purpose of the project is to make gigapixel technology accessible and usable for informal science educators and scientists by developing a robotic imaging device and online services for the creation, storage, and sharing of billion-pixel images of scientifically important content that can be analyzed visually. Project personnel are conducting design activities, user studies, and formative evaluation studies to support the development of a gigapan technology platform for demonstration and further prototyping. The project builds on and leverages existing technologies to provide informal science education organizations use of gigapixel technology for the purpose of facilitating three types of activities that promote participatory learning by the public--Public Understanding of Science activities; Public Participation in Scientific Research activities; and Public Engagement in Science activities. The long-terms goals of the work are to (1) create an accessible database of gigapixel images that informal science educators can use to facilitate public-scientist interactions and promote participatory science learning, (2) characterize and demonstrate the affordances of networked gigapixel technologies to support socially-mediated, science-focused cyberlearning experiences, (3) generate knowledge about how gigapixel technology can enable three types of learning interactions between scientists and the public around visual data, and (4) disseminate findings that describe the design, implementation, and evaluation of the gigapixel platform to support participatory science learning. The project\'s long-term strategic impacts include guiding the design of high-resolution images for promoting STEM learning in both informal and formal settings, developing an open educational resource and science communication platform, and informing informal science education professionals about the use and effectiveness of gigapixel images in promoting participatory science learning by the public.
NOVA Labs (www.pbs.org/nova/labs) is a web-based platform designed to engage teens and educators with authentic data, scientific games, tools, and opportunities to communicate with and assist working scientists. The present study sought to investigate the outcomes achieved by users of the fourth NOVA Labs platform developed: RNA Lab. The RNA Lab includes several key components of the previous labs (e.g., videos, educator guides, etc.). The major difference is that the RNA Lab “research challenge” is a game component. The NOVA Education team's overarching goals for teens using the Lab focused