172 research outputs found

    Genetic algorithms: a pragmatic, non-parametric approach to exploratory analysis of questionnaires in educational research

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    Data from a survey to determine student attitudes to their courses are used as an example to show how genetic algorithms can be used in the analysis of questionnaire data. Genetic algorithms provide a means of generating logical rules which predict one variable in a data set by relating it to others. This paper explains the principle underlying genetic algorithms and gives a non-mathematical description of the means by which rules are generated. A commercially available computer program is used to apply genetic algorithms to the survey data. The results are discussed

    Why is so much information uninformative?

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    Information behaviour in pre-literate societies.

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    This chapter arose from an exchange of ideas between a former life scientist, a former archaeologist, and a member of the Kope tribe, a remote tribe in Papua New Guinea. All three now work in fields related to information sciences. It discusses how notions of information have been dominated by text-based information sources, and considers how one group of people (the Kope) managed information in the absence of any awareness of text. The study explores how the Kopi relate to information, how they use it, and where they get it from. It summarises the findings as six information roles. These are related to contemporary situations

    A New Generation Gap? Some thoughts on the consequences of increasingly early ICT first contact

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    One possible consequence of ICT’s rapid rise will be a new ‘generation gap’ arising from differing perceptions of the learning technologies. The nature, causes and consequences of this gap are of interest to educational practitioners and policymakers. This paper uses data from an ongoing project together with a synopsis of research to describe the ICT-based generation gap that currently exists between students and their teachers and parents. It is argued that this gap may exist between students differing in age by as little as five years. Results from a related project exploring Networked Information and Communication Literacy Skills (NICLS), are used to introduce a discussion on the nature of any skills gap that must be addressed in the light of this generation gap

    The relationship between students' subject preferences and their information behaviour

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    Purpose The purpose of this paper is to investigate the relationship between preferred choice of school subject and student information behaviour (IB). Design/methodology/approach Mixed methods were employed. In all, 152 students, teachers and librarians participated in interviews or focus groups. In total, 1,375 students, key stage 3 (11-14 years) to postgraduate, responded to a questionnaire. The research population was drawn from eight schools, two further education colleges and three universities. Insights from the literature review and the qualitative research phase led to a hypothesis which was investigated using the questionnaire: that students studying hard subjects are less likely to engage in deep IB than students studying soft subjects. Findings Results support the hypothesis that preferences for subjects at school affect choice of university degree. The hypothesis that a preference for hard or soft subjects affects IB is supported by results of an analysis in which like or dislike of maths/ICT is correlated with responses to the survey. Interviewees’ comments led to the proposal that academic subjects can be classified according to whether a subject helps students to acquire a “tool of the Mind” or to apply such a tool. A model suggesting how IB may differ depending on whether intellectual tools are being acquired or applied is proposed. Practical implications The “inner logic” of certain subjects and their pedagogies appears closely linked to IB. This should be considered when developing teaching programmes. Originality/value The findings offer a new perspective on subject classification and its association with IB, and a new model of the association between IB and tool acquisition or application is proposed, incorporating the perspectives of both teacher and student

    On the applicability of IFLA standards in different local contexts : the case of IFLA school library guidelines in China

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    This article reports responses to the IFLA’s school library guidelines by school librarians in South China. The IFLA’s 16 guidelines-based recommendations were presented to representatives of eight schools, and a workshop was organized in response to their feedback. Librarians and principals from 42 schools in Guangzhou assessed the guidelines both before and after the workshop. Most recommendations were considered applicable, but several areas were thought to be poorly suited to the Chinese situation. Many participants’ concerns about the relevance of the recommendations were allayed by the training provided during the workshop. However, the training not only informed the participating school librarians of the areas in which the recommendations were appropriate but also highlighted areas where they were not. In particular, participants felt that some elements of the recommendations were politically insensitive and that the lack of status of school librarians in China would make some of them impractical

    The scintillation and ionization yield of liquid xenon for nuclear recoils

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    XENON10 is an experiment designed to directly detect particle dark matter. It is a dual phase (liquid/gas) xenon time-projection chamber with 3D position imaging. Particle interactions generate a primary scintillation signal (S1) and ionization signal (S2), which are both functions of the deposited recoil energy and the incident particle type. We present a new precision measurement of the relative scintillation yield \leff and the absolute ionization yield Q_y, for nuclear recoils in xenon. A dark matter particle is expected to deposit energy by scattering from a xenon nucleus. Knowledge of \leff is therefore crucial for establishing the energy threshold of the experiment; this in turn determines the sensitivity to particle dark matter. Our \leff measurement is in agreement with recent theoretical predictions above 15 keV nuclear recoil energy, and the energy threshold of the measurement is 4 keV. A knowledge of the ionization yield \Qy is necessary to establish the trigger threshold of the experiment. The ionization yield \Qy is measured in two ways, both in agreement with previous measurements and with a factor of 10 lower energy threshold.Comment: 8 pages, 9 figures. To be published in Nucl. Instrum. Methods

    Design and Performance of the XENON10 Dark Matter Experiment

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    XENON10 is the first two-phase xenon time projection chamber (TPC) developed within the XENON dark matter search program. The TPC, with an active liquid xenon (LXe) mass of about 14 kg, was installed at the Gran Sasso underground laboratory (LNGS) in Italy, and operated for more than one year, with excellent stability and performance. Results from a dark matter search with XENON10 have been published elsewhere. In this paper, we summarize the design and performance of the detector and its subsystems, based on calibration data using sources of gamma-rays and neutrons as well as background and Monte Carlo simulations data. The results on the detector's energy threshold, energy and position resolution, and overall efficiency show a performance that exceeds design specifications, in view of the very low energy threshold achieved (<10 keVr) and the excellent energy resolution achieved by combining the ionization and scintillation signals, detected simultaneously

    Quantifying Between-Cohort and Between-Sex Genetic Heterogeneity in Major Depressive Disorder

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    Major depressive disorder (MDD) is clinically heterogeneous with prevalence rates twice as high in women as in men. There are many possible sources of heterogeneity in MDD most of which are not measured in a sufficiently comparable way across study samples. Here, we assess genetic heterogeneity based on two fundamental measures, between-cohort and between-sex heterogeneity. First, we used genome-wide association study (GWAS) summary statistics to investigate between-cohort genetic heterogeneity using the 29 research cohorts of the Psychiatric Genomics Consortium (PGC; N cases = 16,823, N controls = 25,632) and found that some of the cohort heterogeneity can be attributed to ascertainment differences (such as recruitment of cases from hospital vs community sources). Second, we evaluated between-sex genetic heterogeneity using GWAS summary statistics from the PGC, Kaiser Permanente GERA, UK Biobank and the Danish iPSYCH studies but did not find convincing evidence for genetic differences between the sexes. We conclude that there is no evidence that the heterogeneity between MDD data sets and between sexes reflects genetic heterogeneity. Larger sample sizes with detailed phenotypic records and genomic data remain the key to overcome heterogeneity inherent in assessment of MDD
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