1,841 research outputs found

    Epoabi – e-Portfoolioga õpiväljundite saavutamise ja hindamise tugisüsteem e-õppes

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    Käesolev uuringutaotlus tuleneb vajadusest selgitada välja õppija pädevuste saavutamise võimalusi ja hindamist eportfoolio abil väljundipõhiselt osalise või täieliku e-õppega ainekursustel. Uuring seab eesmärgiks arendusuuringu strateegiale tuginedes selgitada välja hetkeolukord Eestis eportfooliote kasutamisel õpiväljundite saavutamisel ja hindamisel, saadud tulemuste põhjal töötada välja kõrghariduse konteksti sobiv eportfoolioga erinevat tüüpi õpiväljundite saavutamise dokumenteerimise ja hindamise mudel ning luua vastav elektroonne e-kursuste tugisüsteemi ePoAbi prototüüp. Viimane sisaldaks empiiriliselt valideeritud eportfoolio-põhiste õpitegevuste ja hindamismeetodite soovituslikke tüüplahendusi erinevat tüüpi õpiväljundite jaoks ning ühtlasi toetaks õppejõude õpitegevuste planeerimisel. Uuringu eesmärk toetab järgmisi Primus programmi eesmärke: õppejõudude õpetamisoskuse arendamine ja toetamine, õppe ja juhendmaterjalide koostamine, eõppe süsteemi edasiarendamine täiendkoolitamisel, õpetamispraktikate kaardistamine, kvaliteetse väljundipõhise õppe arendamine

    Promoting teachers' learning and knowledge building in a socio-technical system

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    The study proposes a way in which the learning and knowledge building (LKB) framework, which is consistent with the knowledge conversion phases proposed by Nonaka and Takeuchi, supports teachers’ informal and self-directed workplace learning. An LKB framework in a socio-technical system was developed to support professional development in an extended professional community. The LKB framework was implemented and formatively evaluated in the in-service course that prepares teachers for accreditation in an e-portfolio community. The extended community consisted of 16 participants, in-service teachers and domain experts. The evaluation considered (a) how the LKB practices of the framework became actualized among the community members and (b) what supported these LKB practices. Data were collected from log-files of the portfolio system. Correlation analysis and Bayesian dependency modelling revealed the way in which the bottom-up peer scaffolding from community members influences teachers’ LKB practices. As a result, the study proposes that a socio-technical system might promote LKB in a professional community

    IKT ja teised läbivad teemad üldhariduskooli õppekavas

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    Tiigrihüppe Sihtasutuse tellimusel Tallinna Ülikooli poolt läbi viidud uuring.Käesolev uuring keskendub läbiva teema „Infotehnoloogia ning meedia“ rakendamisele Eesti koolides. Uuringu peaeesmärgiks on hetkeolukorra kaardistamine, mis võimaldaks paremini planeerida teadmistepõhisesse infoühiskonda jõudmise efektiivseid strateegiaid eelkõige uue riikliku õppekava arendamise kontekstis.http://www.innovatsioonikeskus.ee/sites/default/files/tekstifailid/IKT_ja_teised_labivad_teemad_UHK_oppekavas2008.pd

    Social recognition provision patterns in professional Q&A forums in Healthcare and Construction

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    © 2015 Elsevier Ltd. All rights reserved. For some decades, professional Q&A forums have been used as a mainstream way of sharing practices between novices and experts. Several forums have had time to develop their own communities and habits, which made them a suitable place to explore patterned epistemic practices. In this paper we look at the social recognition, help seeking and informal learning patterns in communities of practice; our aim is to use the corresponding outputs to scaffold technology supported informal learning. We analyzed professional discussion forums in two countries (UK and Germany) in two different sectors (Healthcare and Construction). We identified a set of interrelated patterns that are used for socially verifying and maturing rules and guidelines, solving problems, introducing new practices and triggering learning. Some particular social recognition and learning trends common in Healthcare and Construction sector Q&A forums are highlighted. We discuss epistemic practice pattern networks for developing scaffolds to enhance the quality of informal learning in workplace environments in an integrated way. We suggest and validate empirically a model of social recognition provision in Q&A forums

    Teachers' conceptions on environment and GMO in twelve europen countries

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    We analyze the conceptions of 4248 teachers on Environment and GMO (Genetically Modified Organisms), in 12 European countries: Cyprus, Estonia, Finland, France, Germany, Hungary, Italy, Lithuania, Malta, Poland, Portugal, Romania. Most of the differences between teachers' conceptions are observed inside each country. Some of them (related to preservation or utilization of Environment) significantly differentiate the 12 countries. Biology teachers have more knowledge on GMO and more opinions pro- GMO than their colleagues. Female teachers are significantly more anti-GMO than their male colleagues. More a teacher studied at University, more he or she thinks that the resources of our planet are limited.CIEC – Research Centre on Child Studies, IE, UMinho (FCT R&D unit 317), Portuga

    Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study

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    Background: Surgical site infection (SSI) is one of the most common infections associated with health care, but its importance as a global health priority is not fully understood. We quantified the burden of SSI after gastrointestinal surgery in countries in all parts of the world. Methods: This international, prospective, multicentre cohort study included consecutive patients undergoing elective or emergency gastrointestinal resection within 2-week time periods at any health-care facility in any country. Countries with participating centres were stratified into high-income, middle-income, and low-income groups according to the UN's Human Development Index (HDI). Data variables from the GlobalSurg 1 study and other studies that have been found to affect the likelihood of SSI were entered into risk adjustment models. The primary outcome measure was the 30-day SSI incidence (defined by US Centers for Disease Control and Prevention criteria for superficial and deep incisional SSI). Relationships with explanatory variables were examined using Bayesian multilevel logistic regression models. This trial is registered with ClinicalTrials.gov, number NCT02662231. Findings: Between Jan 4, 2016, and July 31, 2016, 13 265 records were submitted for analysis. 12 539 patients from 343 hospitals in 66 countries were included. 7339 (58·5%) patient were from high-HDI countries (193 hospitals in 30 countries), 3918 (31·2%) patients were from middle-HDI countries (82 hospitals in 18 countries), and 1282 (10·2%) patients were from low-HDI countries (68 hospitals in 18 countries). In total, 1538 (12·3%) patients had SSI within 30 days of surgery. The incidence of SSI varied between countries with high (691 [9·4%] of 7339 patients), middle (549 [14·0%] of 3918 patients), and low (298 [23·2%] of 1282) HDI (p < 0·001). The highest SSI incidence in each HDI group was after dirty surgery (102 [17·8%] of 574 patients in high-HDI countries; 74 [31·4%] of 236 patients in middle-HDI countries; 72 [39·8%] of 181 patients in low-HDI countries). Following risk factor adjustment, patients in low-HDI countries were at greatest risk of SSI (adjusted odds ratio 1·60, 95% credible interval 1·05–2·37; p=0·030). 132 (21·6%) of 610 patients with an SSI and a microbiology culture result had an infection that was resistant to the prophylactic antibiotic used. Resistant infections were detected in 49 (16·6%) of 295 patients in high-HDI countries, in 37 (19·8%) of 187 patients in middle-HDI countries, and in 46 (35·9%) of 128 patients in low-HDI countries (p < 0·001). Interpretation: Countries with a low HDI carry a disproportionately greater burden of SSI than countries with a middle or high HDI and might have higher rates of antibiotic resistance. In view of WHO recommendations on SSI prevention that highlight the absence of high-quality interventional research, urgent, pragmatic, randomised trials based in LMICs are needed to assess measures aiming to reduce this preventable complication

    Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

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    Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

    Search for heavy resonances decaying to two Higgs bosons in final states containing four b quarks

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    A search is presented for narrow heavy resonances X decaying into pairs of Higgs bosons (H) in proton-proton collisions collected by the CMS experiment at the LHC at root s = 8 TeV. The data correspond to an integrated luminosity of 19.7 fb(-1). The search considers HH resonances with masses between 1 and 3 TeV, having final states of two b quark pairs. Each Higgs boson is produced with large momentum, and the hadronization products of the pair of b quarks can usually be reconstructed as single large jets. The background from multijet and t (t) over bar events is significantly reduced by applying requirements related to the flavor of the jet, its mass, and its substructure. The signal would be identified as a peak on top of the dijet invariant mass spectrum of the remaining background events. No evidence is observed for such a signal. Upper limits obtained at 95 confidence level for the product of the production cross section and branching fraction sigma(gg -> X) B(X -> HH -> b (b) over barb (b) over bar) range from 10 to 1.5 fb for the mass of X from 1.15 to 2.0 TeV, significantly extending previous searches. For a warped extra dimension theory with amass scale Lambda(R) = 1 TeV, the data exclude radion scalar masses between 1.15 and 1.55 TeV
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