Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 3 |
Descriptor
Author
| Gielen, Sarah | 1 |
| Grabau, Larry J. | 1 |
| Ma, Xin | 1 |
| Martins, Lurdes | 1 |
| Ning, Bo | 1 |
| Van Damme, Jan | 1 |
| Van den Noortgate, Wim | 1 |
| Vanlaar, Gudrun | 1 |
| Veiga, Paula | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Reports - Evaluative | 1 |
Education Level
| Secondary Education | 2 |
| Elementary Secondary Education | 1 |
Audience
Location
| China (Shanghai) | 1 |
| Finland | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 3 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkGrabau, Larry J.; Ma, Xin – International Journal of Science Education, 2017
Using data from the 2006 Program for International Student Assessment (PISA), we explored nine aspects of science engagement (science self-efficacy, science self-concept, enjoyment of science, general interest in learning science, instrumental motivation for science, future-oriented science motivation, general value of science, personal value of…
Descriptors: Science Education, Learning Motivation, Learner Engagement, Science Achievement
Ning, Bo; Van Damme, Jan; Gielen, Sarah; Vanlaar, Gudrun; Van den Noortgate, Wim – Scandinavian Journal of Educational Research, 2016
Finland and Shanghai are strong performers in the Program for International Student Assessment (PISA). The current study explored the similarities and differences in educational effectiveness between these 2 strong performers. To this end, 14 predictors representing student background and school process characteristics were selected from the PISA…
Descriptors: Foreign Countries, Reading Achievement, Comparative Education, Instructional Effectiveness
Martins, Lurdes; Veiga, Paula – Economics of Education Review, 2010
This paper measures and decomposes socioeconomic-related inequality in mathematics achievement in 15 European Union member states. Data is taken from the 2003 wave of the OECD Programme for International Student Assessment (PISA). There is socioeconomic-related inequality in mathematics achievement, favoring the higher socioeconomic groups in each…
Descriptors: Foreign Countries, Economics, Economic Factors, Mathematics Achievement
