2,940 research outputs found

    Searching for the effect of multiple uncontrolled interventions in BRMS

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    We search for the effects of 8 different (uncontrolled) interventions (1intervention per school) on the sub-concepts of learner’s (4th to 8th grade)motivation, self-regulation, and ICT competency data over the past threeyears. Data marking for intervention (yes/no), ICT competence of teachersand the presence of specially trained teachers are added to the formulas.Assessment of ICT competency in 3rd grade can be used as prior. Smoothsillustrate if the (motivation or self-regulation) concepts grow over timegrouped by intervention, school or grade. Grades are nested within schoolsand data is grouped by student. Are we missing anything

    Modelling indifference with choice functions

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    We investigate how to model indifference with choice functions. We take the coherence axioms for choice functions proposed by Seidenfeld, Schervisch and Kadane as a source of inspiration, but modify them to strengthen the connection with desirability. We discuss the properties of choice functions that are coherent under our modified set of axioms and the connection with desirability. Once this is in place, we present an axiomatisation of indifference in terms of desirability. On this we build our characterisation of indifference in terms of choice functions

    Modelling indifference with choice functions

    Get PDF
    We investigate how to model indifference with choice functions. We take the coherence axioms for choice functions proposed by Seidenfeld, Schervisch and Kadane as a source of inspiration, but modify them to strengthen the connection with desirability. We discuss the properties of choice functions that are coherent under our modified set of axioms and the connection with desirability. Once this is in place, we present an axiomatisation of indifference in terms of desirability. On this we build our characterisation of indifference in terms of choice functions

    Modelling indifference with choice functions

    Get PDF
    We investigate how to model indifference with choice functions. We take the coherence axioms for choice functions proposed by Seidenfeld, Schervisch and Kadane as a source of inspiration, but modify them to strengthen the connection with desirability. We discuss the properties of choice functions that are coherent under our modified set of axioms and the connection with desirability. Once this is in place, we present an axiomatisation of indifference in terms of desirability. On this we build our characterisation of indifference in terms of choice functions

    Genetics of microtia and associated syndromes

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    Study of arc-jet propulsion devices Final report, 20 Nov. 1964 - 19 Dec. 1965

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    Energy transfer mechanisms in radiation, water, and regeneratively cooled, and MPD arc jet propulsion device

    Coherent and Archimedean choice in general Banach spaces

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    I introduce and study a new notion of Archimedeanity for binary and non-binary choice between options that live in an abstract Banach space, through a very general class of choice models, called sets of desirable option sets. In order to be able to bring an important diversity of contexts into the fold, amongst which choice between horse lottery options, I pay special attention to the case where these linear spaces don't include all `constant' options.I consider the frameworks of conservative inference associated with Archimedean (and coherent) choice models, and also pay quite a lot of attention to representation of general (non-binary) choice models in terms of the simpler, binary ones.The representation theorems proved here provide an axiomatic characterisation for, amongst many other choice methods, Levi's E-admissibility and Walley-Sen maximality.Comment: 34 pages, 7 figure

    Measuring the Development of ICT Skills for Personalized Learning:Developing an Instrument for Dutch Primary Education

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    Our study investigates the development and validation of a questionnaire for competencies learners need to learn in a personalized way using ICT. 9 Dutch schools for primary education collaborate to make personalized learning with ICT evidence-informed. At these 9 iXperium schools, multidisciplinary design teams (consisting of primary school teachers and principals, teachers and students of the teacher-training program of a Dutch university of applied science, researchers from a Dutch university, and external ICT experts) design and research integrated interventions for PL with ICT. We defined personalized learning conditions before filtering the twenty-four learning objectives needed to measure development in personalized learning using ICT. The final questionnaire consists of thirty-three questions to cover the learning objectives. The validity and reliability of our questionary are analyzed in six steps. Cognitive validity (1) and a response model (2) are reported based on literature and a pilot with three iterative rounds of interviews (n=19). Internal constancy (3), confirmatory factor analysis (4), coefficient H (5) are reported after the first run of the questionnaire (n=800), and a test-retest alpha is reported after the second run of the questionnaire (n=800)

    Maximumfactuur en kleine risico’s: verdeling van de eigen bijdragen voor gezondheidszorg in België

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    Overal in Europa komt de financiering van publieke systemen van ziekteverzekering of gezondheidszorg onder druk door de sterke stijging van de uitgaven. België ontsnapt niet aan deze evolutie. De stijging van de uitgaven voor gezondheidszorg lag bij ons zeker gedurende de laatste jaren zelfs duidelijk boven het Europese gemiddelde. Ondanks de grote maatschappelijke populariteit van ons systeem van verplichte ziekteverzekering, vormt het probleem van de kostenbeheersing toch steeds één van de belangrijkste discussiepunten tijdens de regeringsonderhandelingen. Wanneer de stijging van de uitgaven niet kan worden afgeremd, zullen in de toekomst ongetwijfeld fundamentele vragen over de organisatie van het systeem naar voor worden geschoven (Schokkaert en Van de Voorde, 2003)
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