Objective
One of the biggest challenges to educational research and policy is providing relevant information regarding the education system's outcome at different levels. Student outcome indicators are of special interest as obviously this information is a primary criterion for different activities such as teaching, assessment, quality improvement programs, evaluation studies, and steering (as expressed by the French word pilotage ) the educational system. In the last few decades a major effort was exerted at the international level (e.g. IEA, OECD, EU) to develop student outcome indicators for comparative purposes. The most recent of these enterprises, the Third International Mathematics and Science Study (TIMSS) conducted by IEA between 1994 and 1996, exemplifies the progress that has been made. In the next decade, a major source of information about education will be provided by a recently launched OECD-study in 26 countries (comprising all EUcountries, except Portugal). This study addresses student achievement indicators in the fields of Reading Literacy, Mathematics and Science, together with indicators with respect to Cross-Curricular Competencies (CCC). In the field of CCC special emphasis has been given to Problem Solving as a very central competence. It must be noted that European influence on the design of similar studies has been rather weak in the past, thus leading to some frustration both within the political and the scientific communities in EU countries. Above all some typical EU problems of a multicultural, multilingual society have not been sufficiently addressed. All EU countries (and other European countries) participating in the OECD Data Strategy recognise that a common European effort in different parts of the study is highly desirable. Consistent with this view, the authors of this proposal suggest the creation of a Thematic Network on Cross-Curricular Competencies/Problem Solving directed to: (1) connect policy needs with expertise and experience. This requires close coo policy-makers and scientific experts. (2) bring together scientific experts from different disciplines who are working within different conceptual frameworks. By finding commonalties and enhancing synergy, new concepts and new assessment tools may be developed.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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Topic(s)
Data not availableCall for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
2926 Luxembourg
Luxembourg