Chemistry

Everything starts with the curriculum

In June 2011, Portugal was coming to grips with the most serious financial crisis of its recent history. The state was broken and unable to adopt the common short- term solutions for monetarily independent countries. The country had joined the euro 12 years earlier and the state was unable to finance its debt. In May 2011, a bailout had been agreed with the IMF and the EC, and the government had fallen. Elections were held and a new prime minister had been appointed: the social democrat Pedro Passos Coelho. I was in Berlin at a stopover for a conference trip when I received a phone call and an invitation to join the government.

I am not a politician and did not join any party, but my strong educational convictions were well known by the new prime minister. I barely knew him, but he gave me total support for the reforms I had been preaching for years through books, opinion articles, and press interviews. These reforms are easy to enumerate: a strong, demanding, and well-structured knowledge-based curriculum, frequent student evaluation, rigorous initial teacher training, school autonomy, support for failing students, vocational paths, and results-based school incentives. In a practical way, they were a continuation and acceleration of Portugal’s progress in education. But in the discourse, they were a paradigm shift from a competences-based and a student-centred education, to a knowledge-based, more direct teaching approach.” Research ED.

Assessment Background: What PISA Measures and How

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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.

Tests for comparing time series of unequal lengths

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Journal of Statistical Computation and Simulation, Maio 2011.

Jorge Caiado, Nuno Crato and Daniel Peña.

This paper deals with hypothesis testing for independent time series with unequal length. It proposes a spectral test based on the distance between the periodogram ordinates and a parametric test based on the distance between the parameter estimates of fitted autoregressive moving average models. Both tests are compared with a likelihood ratio test based on the pooled spectra. In all cases, the null hypothesis is that the two series under consideration are generated by the same stochastic process. The performance of the three tests is investigated by a Monte Carlo simulation study.