13,829 research outputs found
The Development of the WISE (Writing to Inspire Successful Education) Writing Mentoring Program: A University-School Collaboration
Abstract
This paper describes the development of a service learning writing mentoring program designed to close the achievement gap in writing proficiency for economically disadvantaged seventh grade students. Compared to writing mentoring studies found in the published literature, this program has three distinguishing components. First, it focused on economically disadvantaged middle school students. Second, it provided writing mentoring through a university-school partnership in which college students provided the intervention in collaboration with a seventh-grade teacher. Third, the program used technology to facilitate the mentoring process. Over the course of an academic year, mentors created videos with feedback on 19 writing assignments. The writing mentoring program was associated with a four-fold increase in the percentage of students who were graded as ‘proficient’ on a state standardized writing exam. These results suggest that semi-virtual, intensive writing mentoring and individualized feedback from college students can close the achievement gap and improve the quality of middle level education provided to economically disadvantaged students
An algorithm for the direct reconstruction of the dark matter correlation function from weak lensing and galaxy clustering
The clustering of matter on cosmological scales is an essential probe for
studying the physical origin and composition of our Universe. To date, most of
the direct studies have focused on shear-shear weak lensing correlations, but
it is also possible to extract the dark matter clustering by combining
galaxy-clustering and galaxy-galaxy-lensing measurements. In this study we
develop a method that can constrain the dark matter correlation function from
galaxy clustering and galaxy-galaxy-lensing measurements, by focusing on the
correlation coefficient between the galaxy and matter overdensity fields. To
generate a mock galaxy catalogue for testing purposes, we use the Halo
Occupation Distribution approach applied to a large ensemble of N-body
simulations to model pre-existing SDSS Luminous Red Galaxy sample observations.
Using this mock catalogue, we show that a direct comparison between the excess
surface mass density measured by lensing and its corresponding galaxy
clustering quantity is not optimal. We develop a new statistic that suppresses
the small-scale contributions to these observations and show that this new
statistic leads to a cross-correlation coefficient that is within a few percent
of unity down to 5 Mpc/h. Furthermore, the residual incoherence between the
galaxy and matter fields can be explained using a theoretical model for
scale-dependent bias, giving us a final estimator that is unbiased to within
1%. We also perform a comprehensive study of other physical effects that can
affect the analysis, such as redshift space distortions and differences in
radial windows between galaxy clustering and weak lensing observations. We
apply the method to a range of cosmological models and show the viability of
our new statistic to distinguish between cosmological models.Comment: 23 pages, 14 figures, accepted by PRD; minor changes to V1, 1 new
figure, more detailed discussion of the covariance of the new ADSD statisti
Possibilities for pedagogy in Further Education: Harnessing the abundance of literacy
In this report, it is argued that the most salient factor in the contemporary communicative landscape is the sheer abundance and diversity of possibilities for literacy, and that the extent and nature of students' communicative resources is a central issue in education. The text outlines the conceptual underpinnings of the Literacies for Learning in Further Education project in a social view of literacy, and the associated research design, methodology and analytical framework. It elaborates on the notion of the abundance of literacies in students' everyday lives, and on the potential for harnessing these as resources for the enhancement of learning. It provides case studies of changes in practice that have been undertaken by further education staff in order to draw upon students' everyday literacy practices on Travel and Tourism and Multimedia courses. It ends with some of the broad implications for conceptualising learning that arise from researching through the lens of literacy practices
A qualitative analysis of offenders' modus operandi in sexually exploitative interactions with children online
Transcripts of chat logs of naturally-occurring, sexually exploitative interactions between offenders and victims that took place via Internet communication platforms were analyzed. The aim of the study was to examine the modus operandi of offenders in such interactions, with particular focus on the specific strategies they use to engage victims, including discursive tactics. We also aimed to ascertain offenders’ underlying motivation and function of engagement in online interactions with children. Five cases, comprising 29 transcripts, were analyzed using qualitative thematic analysis with a discursive focus. In addition to this, police reports were reviewed for descriptive and case-specific information. Offenders were men aged between 27 and 52 years (M = 33.6, SD = 5.6), and the number of children they communicated with ranged from one to twelve (M = 4.6, SD = 4.5). Victims were aged between 11 and 15 (M = 13.00, SD = 1.2), and were both female and male. Three offenders committed online sexual offenses, and two offenders committed contact sexual offenses in addition to online sexual offenses. The analysis of transcripts revealed that interactions between offenders and victims were of a highly sexual nature, and that offenders employed a range of manipulative strategies to engage victims and achieve their compliance. It appeared that offenders engaged in such interactions for the purpose of sexual arousal and gratification, as well as fantasy fulfillment
Covariance of cross-correlations: towards efficient measures for large-scale structure
We study the covariance of the cross-power spectrum of different tracers for
the large-scale structure. We develop the counts-in-cells framework for the
multi-tracer approach, and use this to derive expressions for the full
non-Gaussian covariance matrix. We show, that for the usual auto-power
statistic, besides the off-diagonal covariance generated through gravitational
mode-coupling, the discreteness of the tracers and their associated sampling
distribution can generate strong off-diagonal covariance, and that this becomes
the dominant source of covariance as k>>k_f=2 pi/L. On comparison with the
derived expressions for the cross-power covariance, we show that the
off-diagonal terms can be suppressed, if one cross-correlates a high
tracer-density sample with a low one. Taking the effective estimator efficiency
to be proportional to the signal-to-noise ratio (SN), we show that, to probe
clustering as a function of physical properties of the sample, i.e. cluster
mass or galaxy luminosity, then the cross-power approach can out perform the
auto-power one by factors of a few. We confront the theory with measurements of
the mass-mass, halo-mass, and halo-halo power spectra from a large ensemble of
N-body simulations. We show that there is a significant SN advantage to be
gained from using the cross-power approach when studying the bias of rare
haloes. The analysis is repeated in configuration space and again SN
improvement is found. We estimate the covariance matrix for these samples, and
find strong off-diagonal contributions. The covariance depends on halo mass,
with higher mass samples having stronger covariance. In agreement with theory,
we show that the covariance is suppressed for the cross-power. This work points
the way towards improved estimators for clustering studies.Comment: Several significant improvements to the earlier version: for instance
it is shown more clearly how shot noise corrections may generate off-diagonal
covariance in the power spectrum. Original version submitted to MNRAS on 18th
September 2008. This version 18 pages, 7 figure
Football Banning Orders: The Highly Effective Cornerstone of a Preventative Strategy?
The chapter examines the development, use and effectiveness of football banning orders in the UK, comparing their use in England to address issues of football 'hooliganism' with their distinct evolution in Scotland to address concerns around sectarian disorder
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