422 research outputs found
Teaching multimodal literacies with digital technologies and augmented reality : a cluster analysis of Australian teachers' TPACK
Despite the proliferation of augmented reality (AR) apps, Australian primary teachers have yet to use them widely for the teaching of multimodal literacies. Conceptualising teachers’ knowledge of using digital technologies to teach multimodal literacies as a form of technological pedagogical content knowledge or TPACK(ML), this study examined teacher differences through a cluster analysis of survey responses collected from a sample of 142 Australian primary school
teachers. Two distinct clusters of teachers were derived. The first cluster with lower TPACK(ML) comprised teachers with lower self-reported confidence in facilitating new cultures of learning that are participatory and technology-driven in nature. In their open-ended survey responses, these teachers shared their unfamiliarity with AR, as well as concerns about their personal technical
competency and how AR could be integrated into the curriculum. The second cluster of teachers rated themselves higher in TPACK(ML) and in how they used technology to support language learning pedagogies. They were able to propose different pedagogical strategies to engage students’ multimodal literacies meaningfully with AR in their open-ended survey responses. The implications
of the study’s findings were discussed, and recommendations were proposed for designing and sustaining differentiated forms of teacher professional development for teaching multimodal literacies with emergent digital technologies
Simulation of high-resolution domestic electricity demand based on a building occupancy model and its applicability to the study of demand side management
Alongside the well understood need to reduce overall electricity consumption, there is an increasing
need to provide demand response: the ability to time shift electrical demand in accordance with
available low-carbon generation including wind, marine and solar power. Many domestic loads can
readily be employed to provide time shifting demand response in the range of minutes to hours and
this concept is already the subject of numerous demonstrations worldwide. The modelling presented
in this paper provides a basis for the quantification of the availability and impact of demand response
in the domestic sector. In particular, this paper describes the development of a domestic electricity
demand model capable of providing data with a one-minute time resolution and with which the
operation of demand response may be assessed. The electricity demand model is constructed at the
level of individual household appliances and their usage is based on surveyed time-use data. This
provides for appropriate temporal diversity of energy use between simulated dwellings. Occupancy
data allows the correlated usage of appliances to be represented within an actively occupied dwelling,
as well as representing the sharing of appliances, such as lighting, in dwellings with multiple
occupants. This paper summarises previously developed occupancy and lighting models and
explains how the lighting model can be extended to create an integrated appliance model
An ALMA survey of Sub-millimeter Galaxies in the Extended Chandra Deep Field South: Physical properties derived from ultraviolet-to-radio modelling
[abridged] The ALESS survey has followed-up a sample of 122 sub-millimeter
sources in the Extended Chandra Deep Field South at 870um with ALMA, allowing
to pinpoint the positions of sub-millimeter galaxies (SMGs) to 0.3'' and to
find their precise counterparts at different wavelengths. This enabled the
first compilation of the multi-wavelength spectral energy distributions (SEDs)
of a statistically reliable survey of SMGs. In this paper, we present a new
calibration of the MAGPHYS modelling code that is optimized to fit these
UV-to-radio SEDs of z>1 star-forming galaxies using an energy balance technique
to connect the emission from stellar populations, dust attenuation and dust
emission in a physically consistent way. We derive statistically and physically
robust estimates of the photometric redshifts and physical parameters for the
ALESS SMGs. We find that they have a median stellar mass
, SFR/yr, overall
V-band dust attenuation mag, dust mass
M_\rm{dust}=(5.6\pm1.0)\times10^8 M_\odot, and average dust temperature
Tdust~40 K. The average intrinsic SED of the ALESS SMGs resembles that of local
ULIRGs in the IR range, but the stellar emission of our average SMG is brighter
and bluer, indicating lower dust attenuation, possibly because they are more
extended. We explore how the average SEDs vary with different parameters, and
we provide a new set of SMG templates. To put the ALESS SMGs into context, we
compare their stellar masses and SFRs with those of less actively star-forming
galaxies at the same redshifts. At z~2, about half of the SMGs lie above the
star-forming main sequence, while half are at the high-mass end of the
sequence. At higher redshifts (z~3.5), the SMGs tend to have higher SFR and
Mstar, but the fraction of SMGs that lie significantly above the main sequence
decreases to less than a third.Comment: 22 pages, 14 figures, 2 tables. Accepted for publication in the
Astrophysical Journal. The new MAGPHYS model libraries used in this paper
will appear in www.iap.fr/magphys. The SMG SED templates shown in Section 6.1
are available at
http://astronomy.swinburne.edu.au/~ecunha/ecunha/SED_Templates.htm
Smoothie or Fruit Salad? Learners’ Descriptions of Accents as Windows to Concept Formation
This paper explores the linguistically naive descriptions which one set of EFL learners provided when identifying and describing accents. First and second-year English majors at a French university were asked to do two tasks. First, they listened to two extracts to determine whether the speaker’s accent sounded more British or American, and to explain which features helped them to decide. Later they answered two questions: a) What do you do when you want to sound more like an American? and b) more like a British person? The analysis of their answers highlights learners’ underlying representations of accents as well as concept formation in relation to English pronunciation. I argue that this cognitive aspect of L2 learning should be addressed explicitly in instruction
Validity of a three-variable juvenile arthritis disease activity score in children with new-onset juvenile idiopathic arthritis
<p>Objectives To investigate the validity and feasibility of the Juvenile Arthritis Disease Activity Score (JADAS) in the routine clinical setting for all juvenile idiopathic arthritis (JIA) disease categories and explore whether exclusion of the erythrocyte sedimentation rate (ESR) from JADAS (the ‘JADAS3’) influences correlation with single markers of disease activity.</p>
<p>Methods JADAS-71, JADAS-27 and JADAS-10 were determined at baseline for an inception cohort of children with JIA in the Childhood Arthritis Prospective Study. JADAS3-71, JADAS3-27 and JADAS3-10 were determined using an identical formula but with exclusion of ESR. Correlation of JADAS with JADAS3 and single measures of disease activity/severity were determined by category.</p>
<p>Results Of 956 eligible children, sufficient data were available to calculate JADAS-71, JADAS-27 and JADAS-10 at baseline in 352 (37%) and JADAS3 in 551 (58%). The median (IQR) JADAS-71, JADAS-27 and JADAS-10 for all 352 children was 11 (5.9–18), 10.4 (5.7–17) and 11 (5.9–17.3), respectively. Median JADAS and JADAS3 varied significantly with the category (Kruskal–Wallis p=0.0001), with the highest values in children with polyarticular disease patterns. Correlation of JADAS and JADAS3 across all categories was excellent. Correlation of JADAS71 with single markers of disease activity/severity was good to moderate, with some variation across the categories. With the exception of ESR, correlation of JADAS3-71 was similar to correlation of JADAS-71 with the same indices.</p>
<p>Conclusions This study is the first to apply JADAS to all categories of JIA in a routine clinical setting in the UK, adding further information about the feasibility and construct validity of JADAS. For the majority of categories, clinical applicability would be improved by exclusion of the ESR.</p>
An ALMA Survey of Submillimeter Galaxies in the Extended Chandra Deep Field South : The Redshift Distribution and Evolution of Submillimeter Galaxies
Accepted by ApJ. 45 pages, 16 figuresWe present the first photometric redshift distribution for a large unbiased sample of 870um selected submillimeter galaxies (SMGs) with robust identifications based on observations with the Atacama Large Millimeter Array (ALMA). In our analysis we consider 96 SMGs in the Extended Chandra Deep Field South, 77 of which have 4-19 band, optical-near-infrared, photometry. We model the Spectral Energy Distributions (SEDs) for these 77 SMGs, deriving a median photometric redshift of z=2.3+/-0.1. The remaining 19 SMGs have insufficient optical or near-infrared photometry to derive photometric redshifts, but a stacking analysis of IRAC and Herschel observations confirms they are not spurious. Assuming these sources have an absolute H-band magnitude distribution comparable to that of a complete sample of z~1-2 SMGs, we demonstrate that the undetected SMGs lie at higher redshifts, raising the median redshift for SMGs to z=2.5+/-0.2. More critically we show that the proportion of galaxies undergoing an SMG phase at z>3 is 35+/-5% of the total population. We derive a median stellar mass for SMGs of Mstar=(8+/-1)x10^10Mo, but caution that there are significant systematic uncertainties in our stellar mass estimate, up to x5 for individual sources. We compare our sample of SMGs to a volume-limited, morphologically classified sample of ellipticals in the local Universe. Assuming the star formation activity in SMGs has a timescale of ~100Myr we show that their descendants at z~0 would have a space density and M_H distribution which are in good agreement with those of local ellipticals. In addition the inferred mass-weighted ages of the local ellipticals broadly agree with the look-back times of the SMG events. Taken together, these results are consistent with a simple model that identifies SMGs as events that form most of the stars seen in the majority of luminous elliptical galaxies at the present day.Peer reviewe
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