Mathematics Low Achievement in Greece: A Multilevel Analysis of the Programme for International Student Assessment (PISA) 2012 Data
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| Title: | Mathematics Low Achievement in Greece: A Multilevel Analysis of the Programme for International Student Assessment (PISA) 2012 Data |
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| Language: | English |
| Authors: | Karakolidis, Anastasios, Pitsia, Vasiliki, Emvalotis, Anastassios |
| Source: | Themes in Science and Technology Education. 2016 9(1):3-24. |
| Availability: | Themes in Science and Technology Education. The Educational Approaches to Virtual Reality Technologies Laboratory, University of Ioannina, Ioannina, GR 45110, Greece. Tel: +30-2651005697; Fax: +30-2651005854; Web site: http://earthlab.uoi.gr/theste |
| Peer Reviewed: | Y |
| Page Count: | 22 |
| Publication Date: | 2016 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Secondary Education |
| Descriptors: | Foreign Countries, Low Achievement, Mathematics Achievement, Multivariate Analysis, International Assessment, Performance Factors, Gender Differences, Immigration, Attendance, Statistical Significance, Educational Attitudes, Self Concept, Mathematics Anxiety, Institutional Characteristics, Predictor Variables, Beliefs, Models, Achievement Tests, Secondary School Students, Socioeconomic Status |
| Geographic Terms: | Greece |
| Assessment and Survey Identifiers: | Program for International Student Assessment |
| ISSN: | 1792-8788 |
| Abstract: | The main aim of the present study was to carry out an in-depth examination of mathematics underperformance in Greece. By applying a binary multilevel model to the PISA 2012 data, this study investigated the factors which were linked to low achievement in mathematics. The multilevel analysis revealed that students' gender, immigration status, self-constructs about mathematics, pre-primary education attendance as well as individual and school mean socioeconomic status (SES) were statistically significant predictors of student low achievement. It was also found that school accounted for a large proportion of the differences between low achievers and non-low achievers, with the final model explaining a great part of these differences. By successfully addressing the research questions, this study has demonstrated evidence that could help educators and policy makers to tackle the massive problem of mathematics underperformance not only in Greece, but also in other countries with similar educational systems. |
| Abstractor: | As Provided |
| Number of References: | 100 |
| Entry Date: | 2017 |
| Accession Number: | EJ1130922 |
| Database: | ERIC |
| Abstract: | The main aim of the present study was to carry out an in-depth examination of mathematics underperformance in Greece. By applying a binary multilevel model to the PISA 2012 data, this study investigated the factors which were linked to low achievement in mathematics. The multilevel analysis revealed that students' gender, immigration status, self-constructs about mathematics, pre-primary education attendance as well as individual and school mean socioeconomic status (SES) were statistically significant predictors of student low achievement. It was also found that school accounted for a large proportion of the differences between low achievers and non-low achievers, with the final model explaining a great part of these differences. By successfully addressing the research questions, this study has demonstrated evidence that could help educators and policy makers to tackle the massive problem of mathematics underperformance not only in Greece, but also in other countries with similar educational systems. |
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| ISSN: | 1792-8788 |
