This Springer open-access book is one of the first to be published, or even the first, discussing the results of PISA 2018. It analyses how ten different countries have evolved and what makes countries change.
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Our latest Book: Improving a Country’s Education- Pisa Results in 10 Countries
This Springer open-access book is one of the first to be published, or even the first, discussing the results of PISA 2018. It analyses how ten different countries have evolved and what makes countries change. The countries discussed in this volume represent a wide variety of educational systems, from Australia and Taiwan, in the East, to England, Estonia, Finland, Poland, Portugal, and Spain, in Europe, and to Chile and the United States, in the Americas.
You can download the full book here.
Relationship between equity and excellence in education: Multilevel analysis of international students assessment data with a focus on Turkey.
Özdemir, Caner Ph.D., Department of Sociology Supervisor: Prof. Dr. Ayşe Gündüz Hoşgör July 2015, 236 pages
ABSTRACT: This dissertation aims at finding the relationship between equity and excellence in education and how these two dimensions interplay in Turkey. It is found that inequalities in education are not functional as suggested by functionalist theories. On the other hand, findings of this dissertation show that more equity brings more success. Results also show that Turkish education system is neither equitable nor excellent. Moreover, it is found that current education structure in Turkey worsens existing social inequalities. One of the main research questions of this thesis is: “What is the relationship between equity and excellence in education?” It is found that there is a positive relationship between equity and excellence. Unlike earlier claims about a trade-off between equity and excellence, there are serious hints about a relationship in which these two dimensions of education are enabling each other.
A fragmented-periodogram approach for clustering big data time series
Abstract
We propose and study a new frequency-domain procedure for characterizing and comparing large sets of long time series. Instead of using all the information available from data, which would be computationally very expensive, we propose some regularization rules in order to select and summarize the most relevant information for clustering
purposes. Essentially, we suggest to use a fragmented periodogram computed around the driving cyclical components of interest and to compare the various estimates. This procedure is computationally simple, but able to condense relevant information of the time series. A simulation exercise shows that the smoothed fragmented periodogram works in general better than the non-smoothed one and not worse than the complete periodogram for medium to large sample sizes. We illustrate this procedure in a study of the evolution of several stock markets indices. We further show the effect of recent financial crises over these indices behaviour.
EVENT
Glad to Present at ResearchED National Conference 2021, Saturday Sept 4 / Session 1 – 10:05 – 10:45.
“After the longest year, we are delighted to be able to announce that one of the education calendar’s highlights is back in action. We can hardly believe it ourselves. We’ve loved using online platforms like researchED Home to keep teachers connected with evidence and research, but we’ve missed face-to-face, and we know lots of people have too.
That’s why we’re thrilled and honoured to announce that we’ll hold the national conference 2021 on September the 4th, with what we know will be the usual extraordinary list of extraordinary voices and minds.”
Tickets:Book tickets through Eventbrite
Lessons Learned from PISA 2018 Statistics and Other International Student Assessments
2021, Crato, N. (Ed.) Improving a Country’s Education: PISA Results in 10 Countries
PISA 2018 was the largest large-scale international assessment to date. Its results confirm the improvements of some countries, the challenges other countries face, and the decline observed in a few others. This chapter reflects on the detailed analyses of ten countries policies, constraints, and evolutions. It highlights key factors, such as investment, curriculum, teaching, and student assessment. And it concludes by arguing that curriculum coherence, an emphasis on knowledge, student observable outcomes, assessment, and public transparency are key elements. These elements are crucial both for education success in general and for its reflection on PISA and other international assessments.
Download the article here.
Setting up the Scene: Lessons Learned from PISA 2018 Statistics and Other International Student Assessments
Jannuary, 2021
Authors: Nuno Crato
PISA 2018 was the largest large-scale international assessment to date. Its results confirm the improvements of some countries, the challenges other countries face, and the decline observed in a few others. This chapter reflects on the detailed analyses of ten countries policies, constraints, and evolutions. It highlights key factors, such as investment, curriculum, teaching, and student assessment. And it concludes by arguing that curriculum coherence, an emphasis on knowledge, student observable outcomes, assessment, and public transparency are key elements. These elements are crucial both for education success in general and for its reflection on PISA and other international assessments.
Download the article here.
A fragmented-periodogram approach for clustering big data time series.
Advances in Data Analysis and Classification, 2019
Jorge Caiado, Nuno Crato, Pilar Poncela.
Received: 6 September 2018 / Revised: 2 June 2019 / Accepted: 5 June 2019© The Author(s) 2019
We propose and study a new frequency-domain procedure for characterizing and comparing large sets of long time series. Instead of using all the information available from data, which would be computationally very expensive, we propose some regularization rules in order to select and summarize the most relevant information for clustering purposes. Essentially, we suggest to use a fragmented periodogram computed around the driving cyclical components of interest and to compare the various estimates. This procedure is computationally simple but able to condense relevant information of the time series. A simulation exercise shows that the smoothed fragmented periodogram works in general better than the non-smoothed one and not worse than the complete periodogram for medium to large sample sizes. We illustrate this procedure in a study of the evolution of several stock markets indices. We further show the effect of recent financial crises over these indices behaviour.
For download this article click here.
Assessment Background: What PISA Measures and How
Luísa Araújo, Patrícia Costa and Nuno Crato
November, 2020
This chapter provides a short description of what the Programme for
International Student Assessment (PISA) measures and how it measures it. First, it details the concepts associated with the measurement of student performance and the concepts associated with capturing student and school characteristics and explains how they compare with some other International Large-Scale Assessments (ILSA). Second, it provides information on the assessment of reading, the main domain in PISA 2018. Third, it provides information on the technical aspects of the measurements in PISA. Lastly, it offers specific examples of PISA 2018 cognitive items, corresponding domains (mathematics, science, and reading), and related
performance levels.
Read here the complete article.
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