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Bilal Ashraf Akansha Singh Germaine Uwimpuhwe Steven Higgins Adetayo Kasim 《British Educational Research Journal》2021,47(6):1675-1699
Meta-analysis is the synthesis of findings from research projects, which enables an estimate of the average or pooled effect across various studies. This study presents findings from the intention to treat analysis for a series of educational evaluations in England using a two-stage meta-analysis with standardised outcome data and individual participant data meta-analyses. The research estimates the overall impact of educational trials on pupils eligible for Free School Meals (FSM) and the attainment gap in literacy and mathematics performance between FSM and non-FSM pupils based on analysis of 88 trials and data from over half a million pupils. For the meta-analyses, frequentist and Bayesian multilevel models were used to estimate the individual and pooled effect size across categories of explanatory variables such as age groups (key stages in England) and aspects of the type of interventions (one-to-one, small group, whole class). Results indicated that the overall impact of interventions on the literacy outcomes of FSM pupils was positive, with a pooled effect size of 0.06 (0.03, 0.08). However, for mathematics, no overall effect on FSM pupils was observed. Analysis of the attainment gap indicated that literacy outcomes for FSM pupils were improved by interventions marginally more than for non-FSM pupils (pooled attainment gap 0.01 (−0.01, 0.04)). The risk of bias assessment showed that estimates were consistent across different methodological approaches. Overall, evidence from this study can be used to identify, test and scale educational interventions in schools to improve educational outcomes for disadvantaged pupils. 相似文献
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Asia Pacific Education Review - The current study reports the findings of the first step of a comprehensive performance improvement study, identification of the optimal behaviors. In this sense,... 相似文献
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Meral Aksu Cennet Engin Demir Aysegul Daloglu Soner Yildirim Ercan Kiraz 《International Journal of Educational Development》2010,30(1):91-101
This exploratory study examines the background characteristics, socio-cultural values and pedagogical beliefs that entering student teachers bring with them into the faculties of education and explores their possible implications for teacher education in the Turkish context. The study comprised 18,226 first-year student teachers from 51 faculties of education who participated in the study by responding to a three-section questionnaire developed by the research team. Their responses indicate that students entering education faculties typically come from families of lower-middle socio-economic status living in urban areas, tend to possess more traditional than secular-rational values and have not yet formed clear pedagogical beliefs. 相似文献
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Simsek Hasan Yildirim Ali 《International Review of Education/Internationale Zeitschrift für Erziehungswissenschaft/Revue internationale l'éducation》2000,46(3-4):327-342
The data used in this paper were derived from a larger project which had the aim of critically evaluating the Turkish vocational education system on a number of different levels. This article examines the administrative and organisational practices in a selected group of secondary vocational schools in Turkey from the point of view of school administrators, teachers and industrial managers. The results indicate that the Turkish vocational education system is characterised by a centralised, top-down bureaucracy, which inhibits innovative capacity. The authors argue that a degree of decentralisation is necessary at various levels of the system. 相似文献
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Zenun Kastrati Ali Shariq Imran Sule Yildirim Yayilgan 《Information processing & management》2019,56(5):1618-1632
This paper presents a semantically rich document representation model for automatically classifying financial documents into predefined categories utilizing deep learning. The model architecture consists of two main modules including document representation and document classification. In the first module, a document is enriched with semantics using background knowledge provided by an ontology and through the acquisition of its relevant terminology. Acquisition of terminology integrated to the ontology extends the capabilities of semantically rich document representations with an in depth-coverage of concepts, thereby capturing the whole conceptualization involved in documents. Semantically rich representations obtained from the first module will serve as input to the document classification module which aims at finding the most appropriate category for that document through deep learning. Three different deep learning networks each belonging to a different category of machine learning techniques for ontological document classification using a real-life ontology are used.Multiple simulations are carried out with various deep neural networks configurations, and our findings reveal that a three hidden layer feedforward network with 1024 neurons obtain the highest document classification performance on the INFUSE dataset. The performance in terms of F1 score is further increased by almost five percentage points to 78.10% for the same network configuration when the relevant terminology integrated to the ontology is applied to enrich document representation. Furthermore, we conducted a comparative performance evaluation using various state-of-the-art document representation approaches and classification techniques including shallow and conventional machine learning classifiers. 相似文献
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There is debate about whether the leadership style of the teacher or the learning style of the student affects academic achievement more. A large sample (n = 746) of eighth‐grade students in Istanbul, Turkey, participated in a study where the leadership style of the teacher was assessed in terms of people orientation and task orientation. The learning styles examined were: group, individual, visual, auditory, tactile, and kinesthetic. Multiple discriminant analysis indicated that teacher leadership style was the main factor affecting academic performance. No significant relationship was found between learning style and academic achievement. 相似文献
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Dawn R. Johnson Timothy H. Wasserman Nilay Yildirim Barbara A. Yonai 《Research in higher education》2014,55(1):75-100
The current study examined the effects of stress and campus climate perceptions on the persistence decisions of students of color and White students using Bean and Eaton’s (2000) Psychological Model of College Student Retention. A sample of first-year students (N = 1,491) at a predominantly White research university were survey enduring their second semester and their enrollment status was subsequently tracked after 2 years. Path analysis was conducted on the sample of students of color (n = 548) and White students (n = 943). Results indicated models that explained 27 % of the variance for students of color and 44 % of the variance for White students in persistence after 2 years of college. Among the initial 37 variables included in the models, 17 had significant direct and indirect effects on students’ of color persistence including observing racism on campus, having comfortable academic interactions, stress related to the academic environment, and feelings about the campus environment. For White students, 13 variables had significant direct and indirect effects on persistence, including having opportunities for diverse peer interactions and comfortable academic interactions, stress related to the social environment on campus, and feelings about the campus environment. The discussion highlights the usefulness of the Bean and Eaton model for examining retention for students of color and White students. 相似文献
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Lord's Paradox occurs when a continuous covariate is statistically controlled for and the relationship between a continuous outcome and group status indicator changes in both magnitude and direction. This phenomenon poses a challenge to the notion of evidence-based policy, where data are supposed to be self-evident. We examined 50 effect size estimates from 34 large-scale educational interventions and found that impact estimates are affected in magnitude, with or without reversal in sign, when there is substantial baseline imbalance. We also demonstrated that multilevel modeling can ameliorate the divergence in sign and/or magnitude of effect estimation, which, together with project specific knowledge, promises to help those who are presented with conflicting or confusing evidence in decision-making. 相似文献