Using Large-scale Assessment Datasets for Research in Science and Mathematics Education: Programme for International Student Assessment (PISA)

By John O. Anderson, Huann‐shyang Lin, David F. Treagust, Shelley P. Ross, L. Yore. 2007

117 citations recorded by the source corpus.

Subfields: Education

View Paper: https://www.semanticscholar.org/paper/6c519b4c338a52d3f9e7161f87e6b9130db976db

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Education

1. Anastasios Karakolidis
2. A. Biggart
3. Huann‐shyang Lin
4. Zuway-R. Hong
5. Vasiliki Pitsia
6. Sufen Chen

Citations in the corpus

• The role of students' self-beliefs, motivation and attitudes in predicting mathematics achievement: A multilevel analysis of the Programme for International Student Assessment data (2017, background): “There is a growing body of literature highlighting the role of schools in shaping students’ academic achievement (Anderson, Lin, Treagust, Ross, & Yore, 2007).”
• The Role of Emotional Factors in Building Public Scientific Literacy and Engagement with Science (2012, background): “The framework of PISA 2006 puts greater emphasis than either traditional school science tests or most standardized examinations on the application of scientific knowledge in the context of daily life (Anderson, Lin, Treagust, Ross, & Yore, 2007 ).”