20,788 research outputs found

    Who’s to Blame? The Determinants of German Students’ Achievement in the PISA 2000 Study

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    The publication of the OECD report on the PISA 2000 study induced a public outcry in Germany. On average, German students participating in this standardized test performed considerably below the OECD average and substantially worse than those of other European countries, like Finland or Ireland. However, the results presented by the report consist mainly of country averages which do not take into account any other covariates of individual student achievement. This paper provides a comprehensive econometric analysis of the association of the individual-level reading test scores of German students with individual and family background information and with characteristics of the school and class of the 15 to 16 year old respondents in Germany to the survey. The results of several quantile regression analyses demonstrate that many popular explanations, like too much regulation of schools or the substantial share of non-citizens among the participating students, are by no means supported by the data. Rather results point towards a considerable impact of schools aiming at a more homogenous body of students in terms of their educational achievement.Student Achievement, School Quality, Quantile Regression.

    Are classroom internet use and academic performance higher after government broadband subsidies to primary schools?

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    This paper combines data from a government programme providing broadband access to primary schools in Ireland with survey microdata on schools’, teachers’ and pupils use of the internet to examine the links between public subsidies, classroom use of the internet and educational performance. Provision of broadband service under a government scheme was associated with more than a doubling of teachers’ use of the internet in class after about a two year lag. Better computing facilities in schools were also associated with higher internet use, but advertised download speed was not statistically significant. A second set of models show that use of the internet in class was associated with significantly higher average mathematics scores on standardised tests. There was also a less robust positive association with reading scores. A set of confounding factors is included, with results broadly in line with previous literature

    One-to-One Laptop Programs in Latin America and the Caribbean: Panorama and Perspectives

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    The introduction of technology in education is gaining momentum worldwide. One model of incorporating technology into education that has gained tremendous traction in Latin America and the Caribbean is One-to-One computing. The term "One-to-One" refers to the ratio of digital devices per child so that each child is provided with a digital device, most often a laptop, to facilitate learning. The objective of this document is to provide an overview of One-to-One implementations with a regional focus on Latin America and the Caribbean. It also proposes a systemic approach to improve the quality of education in contexts of mass laptop distributions to students and teachers.e-Learning, Teacher Education & Quality, Innovation

    Pathways to Higher Education

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    Presents case studies from Ford's initiative to support efforts to transform universities abroad to enable poor, minority, and otherwise underrepresented students to obtain a university degree. Outlines selected best practices from grantees

    Computers and Student Learning:Bivariate and Multivariate Evidence on the Availability and Use of Computers at Home and at School

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    We estimate the relationship between computers and students’ educational achievement in the international student-level PISA database. Bivariate analyses show a positive correlation between achievement and computer availability both at home and at school. However, once we control extensively for family background and school characteristics, the relationship gets negative for home computers and insignificant for school computers. Thus, mere availability of computers at home seems to distract students from effective learning. But achievement shows a positive conditional relationship with computer use for education and communication at home and an inverted U-shaped relationship with computer and internet use at school.Computers at home, computers at school, student achievement, educational production, PISA.

    Computers and Student Learning: Bivariate and Multivariate Evidence on the Availability and Use of Computers at Home and at School

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    We estimate the relationship between students’ educational achievement and the availability and use of computers at home and at school in the international student-level PISA database. Bivariate analyses show a positive correlation between student achievement and the availability of computers both at home and at schools. However, once we control extensively for family background and school characteristics, the relationship gets negative for home computers and insignificant for school computers. Thus, the mere availability of computers at home seems to distract students from effective learning. But measures of computer use for education and communication at home show a positive conditional relationship with student achievement. The conditional relationship between student achievement and computer and internet use at school has an inverted U-shape, which may reflect either ability bias combined with negative effects of computerized instruction or a low optimal level of computerized instruction.computers at home, computers at school, student achievement, educational production, PISA, education

    Game-based learning or game-based teaching?

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    Emerging technologies for learning report - Article exploring games based learning and its potential for edcuatio

    Academic achievement in sciences: the role of preferences and educative assets

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    This paper provides new evidence on the effect of pupil´s self-motivation andacademic assets allocation on the academic achievement in sciences acrosscountries. By using the Programme for International Student Assessment 2006 (PISA2006) test we find that both explanatory variables have a positive effect onstudent´s performance. Self-motivation is measured through an instrumentthat allows us to avoid possible endogeneity problems. Quantile regression isused for analyzing the existence of different estimated coefficients over thedistribution. It is found that both variables have different effect on academicperformance depending on the pupil´s score. These findings support theimportance of designing focalized programs for different populations,especially in terms of access to information and communication technologiessuch as internet.PISA, self-motivation, academic assets, academic achievement, Quantile regression

    Early Determinants of Women in the IT Workforce: A Model of Girls’ Career Choices

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    Purpose – To develop a testable model for girls’ career choices in technology fields based on past research and hypotheses about the future of the information technology (IT) workforce. Design/Methodology/Approach – Review and assimilation of literature from education, psychology, sociology, computer science, IT, and business in a model that identifies factors that can potentially influence a girl’s choice towards or against IT careers. The factors are categorized into social factors (family, peers, and media), structural factors (computer use, teacher/counselor influence, same sex versus coeducational schools), and individual differences. The impact of culture on these various factors is also explored. Findings – The model indicates that parents, particularly fathers, are the key influencers of girls’ choice of IT careers. Teachers and counselors provide little or no career direction. Hypotheses propose that early access to computers may reduce intimidation with technology and that same-sex education may serve to reduce career bias against IT. Research Limitations/Implications – While the model is multidisciplinary, much of research from which it draws is five to eight years old. Patterns of career choices, availability of technology, increased independence of women and girls, offshore/nearshore outsourcings of IT jobs are just some of the factors that may be insufficiently addressed in this study. Practical Implications – A “Recommendations” section provides some practical steps to increase the involvement of girls in IT-related careers and activities at an early age. The article identifies cultural research as a limitation and ways to address this. Originality/value – The paper is an assimilation of literature from diverse fields and provides a testable model for research on gender and IT

    Influence of ICT Capacity on Effective Utilization of ICT to Improve Organizational Performance of Learning Institutions: A Literature Review

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    Governments and ICT integration advocates tend to seek infrastructural investments as a panacea for the ICT needs for learning institutions, without proper plans on how they will be utilized and without clear understanding existing capacity deficits that will affect its successful implementation. The mere focus of most studies on availability of technology and what students learn through the technology has left a gap in understanding on the capacity requirements that will ensure effective utilization of the technology in order to improve the quality of educational processes in learning institutions. ICT capacity has been of particular focus by scholars in understanding the influence of teacher characteristics and capabilities on effective utilization of ICT to realize its full potential in improving efficiency and effectiveness of management, teaching and learning processes in learning institutions. This review summarizes the relevant research on the influence of ICT capacity on effective utilization of ICT to improve organizational performance of learning institutions. Specifically, the review summarizes the relevant research on teachers’ characteristics and ICT capacity and its effect on organizational performance in learning institutions. The review also discusses gaps in the literature, directions for future studies to breach the gaps and the research implications on scholars and policy makers in educational technology
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