Do School Segregation and School Resources Explain Region-of-Origin Differences in the Mathematics Achievement of Immigrant Students? 1

Levels and Dronkers (2006 Dronkers, J. and Wanner, R. A. 2006. Waarom verdienen immigranten minder? Effecten van immigratiebeleid en arbeidsmarktkenmerken [Why do immigrants earn less? Effects of immigration policies and labour market characteristics]. Tijdschrift voor Arbeidsvraagstukken, 22: 379–394.  [Google Scholar]) showed that educational achievement differs between immigrant students from different regions of origin (Latin America, Northern Africa, and Western Asia). This follow-up paper establishes whether these differences in educational achievement between immigrant students from different regions of origin can be explained by school segregation, whether along ethnic or socioeconomic lines. Ethnic and socioeconomic school segregation have a negative influence on the scholastic achievement of all students, although the impact of socioeconomic school segregation is greater than that of ethnic school segregation. Ethnic school segregation affects the scholastic outcomes of native and immigrant students from some regions of origin more than those of immigrant students from other regions. The analysis shows that neither ethnic, nor socioeconomic, school segregation explains the lower mathematics achievement of immigrant students from Latin America, Northern Africa, and Western Asia.     

Distribution of moisture in reconstructed oil paintings on canvas during absorption and drying: A neutron radiography and NMR study

Moisture is a driving factor in the long-term mechanical deterioration of canvas paintings, as well as for a number of physico–chemical degradation processes. Since the 1990s a number of publications have addressed the equilibrium hygroscopic uptake and the hygro-mechanical deformation of linen canvas, oil paint, animal glue, and ground paint. In order to visualise and quantify the dynamic behaviour of these materials combined in a painting mock-up or reconstruction, we have performed custom-designed experiments with neutron radiography and nuclear magnetic resonance (NMR) imaging. This paper reports how both techniques were used to obtain spatially and temporally resolved information on moisture content, during alternate exposure to high and low relative humidity, or in contact with liquids of varying water activities. We observed how the canvas, which is the dominant component in terms of volumetric moisture uptake, absorbs and dries rapidly, and, due to its low vapour resistance, allows for vapour transfer towards the ground layer. Moisture desorption was generally found to be faster than absorption. The presence of sizing glue leads to a local increase of moisture content. It was observed that lining a painting with an extra canvas results in a damping effect: i.e. absorption and drying are significantly slowed down. The results obtained by NMR are complementary to neutron radiography in that they allow accurate monitoring of water ingress in contact with a liquid reservoir. Quantitative results are in good agreement with adsorption isotherms. The findings can be used for risk analysis of paintings exposed to changing micro-climates or subjected to conservation treatments using water. Future studies addressing moisture-driven deformation of paintings can make use of the proposed experimental techniques.     

The Importance of Length Normalization for XML Retrieval

XML retrieval is a departure from standard document retrieval in which each individual XML element, ranging from italicized words or phrases to full blown articles, is a retrievable unit. The distribution of XML element lengths is unlike what we usually observe in standard document collections, prompting us to revisit the issue of document length normalization. We perform a comparative analysis of arbitrary elements versus relevant elements, and show the importance of element length as a parameter for XML retrieval. Within the language modeling framework, we investigate a range of techniques that deal with length either directly or indirectly. We observe a length-bias introduced by the amount of smoothing, and show the importance of extreme length bias for XML retrieval. We also show that simply removing shorter elements from the index (by introducing a cut-off value) does not create an appropriate element length normalization. Even after restricting the minimal size of XML elements occurring in the index, the importance of an extreme explicit length bias remains.     

Exploration of direct and indirect associations of system-level policy-amenable variables with reading literacy performance

As expectations of the economic impact of educational attainment are soaring (Hanushek & Woessmann, 2009 Hanushek E. A., & Woessmann, L. (2009). Do better schools lead to more growth? Cognitive skills, economic outcomes, and causation (NBER Working Paper, No. 14633). Cambridge, MA: National Bureau of Economic Research.[Crossref] , [Google Scholar]) and conjectures about successful national educational reforms (Mourshed, Chijioke, & Barber, 2010 Mourshed, M., Chijioke, C., & Barber, M. (2010). How the world's most improved school systems keep getting better. Retrieved from http://www.mckinsey.com/client_service/social_sector/latest_thinking/worlds_most_improved_schools[Crossref] , [Google Scholar]) are welcomed by educational policy-makers in many countries, a careful assessment of the empirical evidence for these kinds of claims is needed. In this article, we present a methodology that was applied to an international data set. A multi-level model of education was used to present a hypothetical scenario, indicated as the “implementation scenario”. The scenario was tested on the Programme for International Student Assessment (PISA) 2009 data set by means of multi-level structural equation modelling. Although we find some evidence for direct effects and some support for straightforward implementation, the overall impact of malleable conditions at the system and school level appears disappointingly small. A theoretical strand of literature that would account for “limited malleability” is referred to in discussing these results.     

An analysis of human factors and label accuracy in crowdsourcing relevance judgments

Crowdsourcing relevance judgments for the evaluation of search engines is used increasingly to overcome the issue of scalability that hinders traditional approaches relying on a fixed group of trusted expert judges. However, the benefits of crowdsourcing come with risks due to the engagement of a self-forming group of individuals—the crowd, motivated by different incentives, who complete the tasks with varying levels of attention and success. This increases the need for a careful design of crowdsourcing tasks that attracts the right crowd for the given task and promotes quality work. In this paper, we describe a series of experiments using Amazon’s Mechanical Turk, conducted to explore the ‘human’ characteristics of the crowds involved in a relevance assessment task. In the experiments, we vary the level of pay offered, the effort required to complete a task and the qualifications required of the workers. We observe the effects of these variables on the quality of the resulting relevance labels, measured based on agreement with a gold set, and correlate them with self-reported measures of various human factors. We elicit information from the workers about their motivations, interest and familiarity with the topic, perceived task difficulty, and satisfaction with the offered pay. We investigate how these factors combine with aspects of the task design and how they affect the accuracy of the resulting relevance labels. Based on the analysis of 960 HITs and 2,880 HIT assignments resulting in 19,200 relevance labels, we arrive at insights into the complex interaction of the observed factors and provide practical guidelines to crowdsourcing practitioners. In addition, we highlight challenges in the data analysis that stem from the peculiarity of the crowdsourcing environment where the sample of individuals engaged in specific work conditions are inherently influenced by the conditions themselves.     

The Dutch policy of integration put to the test: differences in academic and psychosocial development of pupils in special and mainstream education

After several failed attempts to rein in the growth of special education, the Dutch government made a start in 1991 with a policy to accommodate pupils with problems in regular education and to put a stop to the growth of special education. This paper examines a large-scale study conducted by our research group at the University of Amsterdam which attempted to answer the question whether pupils with problems are better off in special education where there are more resources and they can get more attention than in mainstream schools. It was expected that the pupils in special education would do better due to the specialist care and individual attention. However, with a few exceptions, few differences were found when comparable at-risk pupils in regular schools were compared with their counterparts in both types of special schools. There was a conspicuously large measure of variability in both regular and special education. All school types had both at-risk pupils who were doing well from an academic and/or psychosocial perspective and pupils whose progress left much to be desired. There is little evidence to support the idea that at-risk pupils make less progress, in either their academic or psychosocial development, in regular schools compared with pupils in special schools. The general assumption that at-risk pupils will do better in special education does not seem to account for its attractiveness. Contrary to the policy theory, the dual system, as it exists in The Netherlands, does not appear to be an obstacle to the provision of adequate care for pupils with special educational needs. However, the policy to equip regular schools to accommodate this category of pupils appears not to be realized as simply as that. It has not proved possible to demonstrate the effects of the varying levels of specialist help provided by regular schools on the development of at-risk pupils.     

Building for an Experimental Teacher Training Institute

Ubbo Emmius is one of the new teacher training institutes in the Netherlands. It was faced with the problem that a new building had to be designed while the institute was still in an experimental stage. Based on a particular educational philosophy, a number of architectural considerations were formulated for the building to be designed. The result is a building for widely divergent activities. This was achieved by creating spaces of various sizes and facilities. It may be called an multifunctional, flexible building, which, also in the future, can meet the requirements of new developments.     

Promoting performance and motivation through a combination of intrinsic motivation stimulation and an extrinsic incentive

Learning Environments Research - During the early stages of secondary education students’ motivation and performance levels decline. This study employed a case study approach to evaluate a...     

Relations between the development of school investment, self-confidence and language achievement in elementary education: a multivariate latent growth curve approach

Latent growth curve (LGC) analysis of longitudinal data for pupils' school investment, self-confidence and language ability is presented. A multivariate model is tested that relates the three developmental processes to each other and to intelligence. All processes show significant differences between children in their developmental curves. The increase in language ability and the decrease in school investment correspond with the hypotheses. No hypothesis is formulated about self-confidence, but an increase for some and a decrease for others are found. The hypothesis that development in language ability, school investment, and self-confidence are mutually positively associated is supported, as is the hypothesis that intelligence accounts for some of the differences in language ability. School investment, self-confidence, and intelligence each explain a different part of development in language ability.