71 research outputs found

    Collective Intelligence: What it Could Mean for Education

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    Maker pedagogy and science teacher education

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    Making is a process that people engage in to design, create, and develop things that are of value and use to them personally or for their community. The recent popular (and sometimes commercial) Maker Movement is rooted in making and traces its lineage from a variety of historical precedents, including ancient traditions of arts and crafts fairs, tinkering and inventing using analog technologies, and hacking and programing with digital technologies. So-called “Maker Spaces” often function as co-ops that allow people to come together to build things, share expensive tools, and learn skills from one another. In this article, we will use the maker movement as a catalyst to reveal both some perennial challenges of and potential ways forward for curriculum studies of science and technology teacher education. In particular, we suggest that maker pedagogy, an approach to working with teacher candidates drawing from principles in the maker movement represents a potentially useful way forward in engaging teacher candidates in thinking about curriculum and working with students

    Making the Tacit Explicit: Self-study and the Spectre of Technology Education

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    This paper explores the challenges associated with helping future science teachers to develop professional knowledge of how to teach using digital technologies. First some of the salient literature on science teachers’ professional knowledge is reviewed. Extending the dominant concept of PCK to the realm of knowledge about technology is argued to be inherently problematic. Then a theoretical framework, grounded in professional competencies, is presented that seems to be a more useful way to think about how future science teachers learn to teach using technology. Self-study methodologies are then offered as a way for documenting and analyzing one’s own practice, before making a final case for more research that explicitly explores connections between frameworks from research in educational technology and the self-study of teacher education practices.Keywords: professional knowledge of science teachers, self-study methodology, competency model, technology and teacher educatio

    Exile Vol. LVII

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    Spence, Caroline:To Lose a Brother 7Frances in Three Parts 8-11 Current, Abby: February\u27s Belly 12Selkie Woman 13-14 Callahan, Meghan: Whirl 15Halloween 25-26cool 27-29Faith 39-40Bookish (cover) Eden, Tristan: Runaway 16Sharkey\u27s Philadelphia 17 Heestand, Ashley: Tragedy, 1979 18-24 Persia, Danny: 20,000 Leagues Under the Sea 30-33Hymn to Satan 34-37 DiMartini, Amanda: untitled 38 Bullock, Karen: Gypsies 41-42 Swensson, Ellie: Phenomenology 43-44 Snow 45-47 Moran, Megan: untitled 48 untitled 58 Whites, Shawn: The Woman Across the Alley 49-57 Roozeboom, Nikki: Stain 59Distant 60-61 Ferguson, Brittani: That Dusty Italian Dugout 62-63 Gateway 64 Burdoff, Holly: Transitions 6

    LSST: from Science Drivers to Reference Design and Anticipated Data Products

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    (Abridged) We describe here the most ambitious survey currently planned in the optical, the Large Synoptic Survey Telescope (LSST). A vast array of science will be enabled by a single wide-deep-fast sky survey, and LSST will have unique survey capability in the faint time domain. The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the Solar System, exploring the transient optical sky, and mapping the Milky Way. LSST will be a wide-field ground-based system sited at Cerro Pach\'{o}n in northern Chile. The telescope will have an 8.4 m (6.5 m effective) primary mirror, a 9.6 deg2^2 field of view, and a 3.2 Gigapixel camera. The standard observing sequence will consist of pairs of 15-second exposures in a given field, with two such visits in each pointing in a given night. With these repeats, the LSST system is capable of imaging about 10,000 square degrees of sky in a single filter in three nights. The typical 5σ\sigma point-source depth in a single visit in rr will be ∌24.5\sim 24.5 (AB). The project is in the construction phase and will begin regular survey operations by 2022. The survey area will be contained within 30,000 deg2^2 with ÎŽ<+34.5∘\delta<+34.5^\circ, and will be imaged multiple times in six bands, ugrizyugrizy, covering the wavelength range 320--1050 nm. About 90\% of the observing time will be devoted to a deep-wide-fast survey mode which will uniformly observe a 18,000 deg2^2 region about 800 times (summed over all six bands) during the anticipated 10 years of operations, and yield a coadded map to r∌27.5r\sim27.5. The remaining 10\% of the observing time will be allocated to projects such as a Very Deep and Fast time domain survey. The goal is to make LSST data products, including a relational database of about 32 trillion observations of 40 billion objects, available to the public and scientists around the world.Comment: 57 pages, 32 color figures, version with high-resolution figures available from https://www.lsst.org/overvie

    brainlife.io: A decentralized and open source cloud platform to support neuroscience research

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    Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the complexity of the data pipeline has also increased, hindering access to FAIR data analysis to portions of the worldwide research community. brainlife.io was developed to reduce these burdens and democratize modern neuroscience research across institutions and career levels. Using community software and hardware infrastructure, the platform provides open-source data standardization, management, visualization, and processing and simplifies the data pipeline. brainlife.io automatically tracks the provenance history of thousands of data objects, supporting simplicity, efficiency, and transparency in neuroscience research. Here brainlife.io's technology and data services are described and evaluated for validity, reliability, reproducibility, replicability, and scientific utility. Using data from 4 modalities and 3,200 participants, we demonstrate that brainlife.io's services produce outputs that adhere to best practices in modern neuroscience research

    Analysis of Temperature-to-Polarization Leakage in BICEP3 and Keck CMB Data from 2016 to 2018

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    The Bicep/Keck Array experiment is a series of small-aperture refracting telescopes observing degree-scale Cosmic Microwave Background polarization from the South Pole in search of a primordial B-mode signature. As a pair differencing experiment, an important systematic that must be controlled is the differential beam response between the co-located, orthogonally polarized detectors. We use high-fidelity, in-situ measurements of the beam response to estimate the temperature-to-polarization (T → P) leakage in our latest data including observations from 2016 through 2018. This includes three years of Bicep3 observing at 95 GHz, and multifrequency data from Keck Array. Here we present band-averaged far-field beam maps, differential beam mismatch, and residual beam power (after filtering out the leading difference modes via deprojection) for these receivers. We show preliminary results of "beam map simulations," which use these beam maps to observe a simulated temperature (no Q/U) sky to estimate T → P leakage in our real data

    Observing low elevation sky and the CMB Cold Spot with BICEP3 at the South Pole

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    BICEP3 is a 520 mm aperture on-axis refracting telescope at the South Pole, which observes the polarization of the cosmic microwave background (CMB) at 95 GHz to search for the B-mode signal from inflationary gravitational waves. In addition to this main target, we have developed a low-elevation observation strategy to extend coverage of the Southern sky at the South Pole, where BICEP3 can quickly achieve degree-scale E-mode measurements over a large area. An interesting E-mode measurement is probing a potential polarization anomaly around the CMB Cold Spot. During the austral summer seasons of 2018-19 and 2019-20, BICEP3 observed the sky with a flat mirror to redirect the beams to various low elevation ranges. The preliminary data analysis shows degree-scale E-modes measured with high signal-to-noise ratio

    Analysis of Temperature-to-Polarization Leakage in BICEP3 and Keck CMB Data from 2016 to 2018

    Get PDF
    The Bicep/Keck Array experiment is a series of small-aperture refracting telescopes observing degree-scale Cosmic Microwave Background polarization from the South Pole in search of a primordial B-mode signature. As a pair differencing experiment, an important systematic that must be controlled is the differential beam response between the co-located, orthogonally polarized detectors. We use high-fidelity, in-situ measurements of the beam response to estimate the temperature-to-polarization (T → P) leakage in our latest data including observations from 2016 through 2018. This includes three years of Bicep3 observing at 95 GHz, and multifrequency data from Keck Array. Here we present band-averaged far-field beam maps, differential beam mismatch, and residual beam power (after filtering out the leading difference modes via deprojection) for these receivers. We show preliminary results of "beam map simulations," which use these beam maps to observe a simulated temperature (no Q/U) sky to estimate T → P leakage in our real data
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