PocketMacro is a mobile app designed by the Learning Media Design Center at Carnegie Mellon University in collaboration with Stroud Water Research Center, Carnegie Museum of Natural History and Clemson University, and stakeholder input. The PocketMacro app aims to help users better identify benthic macroinvertebrates commonly found in streams and other waterways. Rockman et al Cooperative (REA), an independent educational evaluation group, designed a summative study to explore the effectiveness of the app in supporting users’ aquatic macroinvertebrate identification. The purpose of the
This poster was presented at the 2021 NSF AISL Awardee Meeting.
To engage youth in global challenges such as energy issues, students’ own community can serve as personally relevant venues for scientific inquiry. For example, after students learn about heat transfer in school, they can use this knowledge to inspect the energy efficiency of their own schools and public buildings in their neighborhood.
To bridge the gap between school science and citizen science, students need scientific instruments that can be used both in and out of school and a community to share their discoveries.
Learning to See, Seeing to Learn is a National Science Foundation-funded project to develop www.macroinvertebrates.org, a digital observation tool and set of informational resources that can supplement volunteer biomonitoring trainings and improve aquatic macroinvertebrates identification. Project researchers are interested in how trainers and volunteers use the tool, as well as how training that incorporates the tool impacts volunteers’ confidence in and accuracy around aquatic macroinvertebrates identification. In November 2018, project partner, Stroud Water Research Center, conducted a
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. In this exploratory Change Makers project, the Concord Consortium will develop, test, and evaluate a citizen science program that leverages innovative technology, such that youth engage directly with energy issues through scientific inquiry. The project will create the Infrared Street View, a citizen science program that aims to produce a thermal version of Google's Street View using an affordable infrared camera attached to a smartphone. The infrared camera serves as a high-throughput data acquisition instrument that collects thousands of temperature data points each time a picture is taken. Youth will collect massive geotagged thermal data that have considerable scientific and educational value for visualizing energy usage and improving energy efficiency at all levels. The Infrared Street View program will provide a Web-based platform for youth and anyone interested in energy efficiency to view and analyze the aggregated data to identify possible energy losses. By sharing their scientific findings with stakeholders, youth will make changes to the way energy is being used. The project will start with school, public, and commercial buildings in selected areas where performing thermal scan of the buildings and publishing their thermal images for educational and research purposes are permitted by school leaders, town officials, and property owners. In collaboration with high schools and out-of-school programs in Massachusetts, this project will conduct pilot-tests with approximately 200 students.
To contribute to advancing learning, the study will probe three research questions: 1) Under what circumstances can technology bridge out-of-school and classroom science learning and improve learning on both sides? 2) To what extent can unobtrusive assessment based on data mining support research and evaluation of student learning in out-of-school settings? and 3) To what extent can instructional intelligence built into the app used in the program help students learn in out-of-school programs and improve the quality of data they contribute to the citizen science project? Data sources for investigating these questions include students' interaction data with the app logged behind the scenes and the images they have taken, as well as results based on traditional assessments from a small number of participants. Throughout the project, staff will widely disseminate project products and findings through the Internet, science fairs, conferences, publications, and partner networks. An eight-member Advisory Board consisting of cleantech experts, science educators, and educational researchers will oversee and evaluate this project.
Literacy Volunteers of America (LVA) - Monroe County, Inc. and The College of Exploration are developing and implementing a pilot project to target traditionally under-represented ethnic groups who are limited English proficient-- many reading and writing in English at the grade 0 - grade 5.5 level. The project goals are for learners of English as a Second Language (ESL) to use digital photo cameras, digital video cameras, waterproof underwater HD cameras and GPS technologies to geo-locate, explore, observe, record, display and tell stories in English both in words, photos and short HD video clip sequences. Stories will be about the exploration of places like the National Marine Sanctuaries and other areas of the country and coasts where there are scientific observation and monitoring opportunities created and supported by NOAA partners.
This article examines certain guiding tenets of science journalism in the era of big data by focusing on its engagement with citizen science. Having placed citizen science in historical context, it highlights early interventions intended to help establish the basis for an alternative epistemological ethos recognising the scientist as citizen and the citizen as scientist. Next, the article assesses further implications for science journalism by examining the challenges posed by big data in the realm of citizen science. Pertinent issues include potential risks associated with data quality
This introduction presents the essays belonging to the JCOM special issue on User-led and peer-to-peer science. It also draws a first map of the main problems we need to investigate when we face this new and emerging phenomenon. Web tools are enacting and facilitating new ways for lay people to interact with scientists or to cooperate with each other, but cultural and political changes are also at play. What happens to expertise, knowledge production and relations between scientific institutions and society when lay people or non-scientists go online and engage in scientific activities? From
Learning to See, Seeing to Learn: A Sociotechnical System Supporting Taxonomic Identification Activities in Volunteer-Based Water Quality Biomonitoring is an Innovations in Development proposal to further develop and study a cyber-enhanced informal learning environment to support observational practices and classification skills in a citizen science context. In particular, we focus on the taxonomic ID bottleneck that hampers the acquisition of high-caliber biotic data needed for volunteer-based water quality monitoring efforts.
A wide gap exists between what scientists and rural farmers know. The rapid advancements in digital technology are likely to widen this gap even further. At the farmers' level, this knowledge gap often translates into poor and inefficient management of resources resulting in reduced profits and environmental pollution. Most modern rice cultivars can easily yield more than 5 tons per hectare when well managed, but millions of farmers often get less than 5 tons using the same production inputs.
WGBH received funding to develop and create NOVA Labs, an online environment that provides teen audiences with an online research lab, educational content, and the opportunity to engage with authentic data, tools, and processes to investigate scientific questions. This work has begun with the development of a first pilot lab, called The Sun Lab. NOVA Education created and launched this lab in early summer 2012. Examining the site in its pilot form, the Lifelong Learning Group (LLG) engaged in a formative evaluation to support refinements and improvements in the design of subsequent NOVA Lab
NOVA Labs (pbs.org/nova/labs) is a free digital platform that engages teens and lifelong learners in activities and games that foster authentic scientific exploration. From building RNA molecules and designing renewable energy systems to tracking cloud movements and learning cybersecurity strategies, NOVA Labs participants can take part in real-world investigations by visualizing, analyzing, and playing with the same data that scientists use. Each Lab focuses on a different area of active research. But all of them illustrate key concepts with engaging and informative videos, and guide participants as they answer scientific questions or design solutions to current problems. Supporting pages on each Lab site explain the purpose and functions of the Lab, help teachers incorporate it into their classrooms, foster collaboration between users, and help users make connections to the broader world of STEM. Users are encouraged to explore potential career paths through “Meet the Scientists” profiles, and to obtain information about local and national STEM resources.