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Direct linkManuel Bächtold; David Cross; Valérie Munier – International Journal of Science Education, 2024
Data from PISA and TIMSS have recently fuelled the debate on the efficacy of Inquiry-Based Science Teaching (IBST). Some analyses of these data show that the effects of different scientific activities related to IBST carried out with students vary according to the frequency of their implementation. Extending this research, the present study…
Descriptors: Science Activities, Knowledge Level, Inquiry, Scientific Principles
Download full textNational Center for Education Statistics, 2020
The Program for International Student Assessment (PISA) is a study of 15-year-old students' performance in reading, mathematics, and science literacy conducted every 3 years. The PISA 2018 results provide a global view of U.S. students' performance compared to their peers in nearly 80 countries and education systems. By design, PISA aims to…
Descriptors: Money Management, Knowledge Level, Consumer Education, Achievement Tests
Pons, Xavier – European Educational Research Journal, 2012
The aim of this article is to open discussion by analysing the cognitive reception of PISA in six European countries which were studied in the European collective research project KNOWandPOL (Knowledge and Policy in Education and Health Sectors). Reception does not mean here a simple vertical transmission of messages from the international level…
Descriptors: Student Evaluation, Evaluation Research, Public Opinion, Cognitive Processes
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
