The project team is developing and testing a prototype of a computer science game-based intervention intended for Grade 1 students. The prototype will include physical robots that will be designed and controlled on a game board by students through a blue-tooth enabled smartphone app. The product will include teacher resources and suggestions to facilitate classroom integration. In the Phase I pilot research with 5 classrooms and 150 students, the researchers will examine whether the prototype functions as planned, if teachers are able to implement it with small groups of students, and whether
In prior research and development, the project team developed PocketLab, a set of web-based hands-on science simulations for middle school classrooms. With this Phase I funding, the team will develop and test a prototype of CloudLab, a classroom management platform to extend the functionality of PocketLab. The prototype will include a portal so that a class of students can collaborate on experiments, a lab notebook to analyze experimental data with graphing tools, and a teacher dashboard to monitor student progress in real time. In the Phase I pilot research, with six middle school teachers and 150 students, the project team will examine whether the prototype functions as planned, whether teachers are able to integrate it within the classroom environment, and whether students are engaged while using the prototype.
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
Although with some reluctance, social sciences now seem to have accepted the challenge deriving from the growing digitisation of communication and the consequent flow of data on the web. There are actually various empirical studies that use the digital traces left by the myriads of interactions that occur through social media and e-commerce platforms, and this trend also concerns the research in the PCST field. However, the opportunity offered by the digitisation of traditional mass media communication — the newspapers in particular — is much less exploited. Building on the experience of the
This is an extended discussion of the question that appeared in the Viewpoints department of the May/June 2016 issue of Dimensions magazine. It discusses whether smartphones benefit or detract from the museum experience from a variety of perspectives from the field.
SciGirls Strategies is a National Science Foundation–funded project led by Twin Cities PBS (TPT) in partnership with St. Catherine University, the National Girls Collaborative, and XSci (The Experiential Science Education Research Collaborative) at the University of Colorado Boulder’s Center for STEM Learning. This three-year initiative aims to increase the number of high school girls recruited to and retained in fields where females are traditionally underrepresented: technical science, engineering, technology, and math (STEM) pathways. We seek to accomplish this goal by providing career and
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TEAM MEMBERS:
Rita KarlBradley McLainAlicia Santiago
Informal learning opportunities are increasingly being recognized as important for youth participation in authentic experiences at the intersection of science, technology, engineering, and math (STEM) (Dorsen, Carlson, and Goodyear 2006). These experiences may involve specialized equipment and dedicated time for learners to gain familiarity with the relevant scientific and engineering practices (i.e., designing experiments on their own, struggling to make sense of data, learning from their own mistakes and the results of peers), which often go beyond the classroom. However, the educators who
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TEAM MEMBERS:
Kathryn WilliamsonSue Ann HeatherlyVivian HoetteEva Erdosne TothDavid Beer
As a leader in the science museum field, the New York Hall of Science (NYSCI) is a destination for hands-on, interactive exhibitions and innovative programs. NYSCI’s Design-Make-Play (DMP) pedagogical approach to STEM learning recognizes that what is essential is not only the content—what is being taught—but how teaching and learning are imagined through the curriculum. This commitment to practice builds off of interest-based learning research, which emphasizes that all learners should feel a sense of efficacy and possibility. The hallmarks of this approach include deep personal engagement
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TEAM MEMBERS:
Amanda SolarshGina TesorieroMichaela LabrioleTara Chudoba
The phenomenon of lay readers of neuroscience being positively biased by the mere presence of brain images (fMRI), has been hotly debated, with recent failures to replicate the phenomenon, and suggestions that context is important. We experimentally investigated the potentially biasing effect of neuroimagery on participants' beliefs and explored an important facet of context within a neuroscience article: whether the article was supportive or critical of fMRI use in detecting states of mind. Results supported recent arguments that a “neurorealism” effect may in part be an artifact of
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TEAM MEMBERS:
Maria PopescuR. Bruce ThompsonWilliam GaytonVincent Markowski
Of all the online information tools that the public relies on to collect information and share opinions about scientific and environmental issues, Twitter presents a unique venue to assess the spontaneous and genuine opinions of networked publics, including those about a focusing event like the Fukushima Daiichi nuclear accident following the 2011 Tohoku earthquake and tsunami. Using computational linguistic algorithms, this study analyzes a census of English-language tweets about nuclear power before, during, and after the Fukushima nuclear accident. Results show that although discourse about
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TEAM MEMBERS:
Nan LiHeather AkinLeona Yi-Fan SuDominique BrossardMichael XenosDietram Scheufele
Changes in household-level actions in the U.S. have the potential to reduce rates of greenhouse gas (GHG) emissions and climate change by reducing consumption of food, energy and water (FEW). This project will identify potential interventions for reducing household FEW consumption, test options in participating households in two communities, and collect data to develop new environmental impact models. It will also identify household consumption behavior and cost-effective interventions to reduce FEW resource use. Research insights can be applied to increase the well-being of individuals at the household level, improve FEW resource security, reduce climate-related risks, and increase economic competitiveness of the U.S. The project will recruit, train, and graduate more than 20 students and early-career scientists from underrepresented groups. Students will be eligible to participate in exchanges to conduct interdisciplinary research with collaborators in the Netherlands, a highly industrialized nation that uses 20% less energy and water per person than the U.S.
This study uses an interdisciplinary approach to investigate methods for reducing household FEW consumption and associated direct and indirect environmental impacts, including GHG emissions and water resources depletion. The approach includes: 1) interactive role-playing activities and qualitative interviews with homeowners; 2) a survey of households to examine existing attitudes and behaviors related to FEW consumption, as well as possible approaches and barriers to reduce consumption; and 3) experimental research in residential households in two case-study communities, selected to be representative of U.S. suburban households and appropriate for comparative experiments. These studies will iteratively examine approaches for reducing household FEW consumption, test possible intervention strategies, and provide data for developing systems models to quantify impacts of household FEW resource flows and emissions. A FEW consumption-based life cycle assessment (LCA) model will be developed to provide accurate information for household decision making and design of intervention strategies. The LCA model will include the first known farm-to-fork representation of household food consumption impacts, spatially explicit inventories of food waste and water withdrawals, and a model of multi-level price responsiveness in the electricity sector. By translating FEW consumption impacts, results will identify "hot spots" and cost-effective household interventions for reducing ecological footprints. Applying a set of climate and technology scenarios in the LCA model will provide additional insights on potential benefits of technology adoption for informing policymaking. The environmental impact models, household consumption tracking tool, and role-playing software developed in this research will be general purpose and publicly available at the end of the project to inform future education, research and outreach activities.
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TEAM MEMBERS:
David WatkinsBuyung AgusdinataChelsea SchellyRachael ShwomJenni-Louise Evans