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Download full textUmbara, Uba; Suryadi, Didi – International Journal of Instruction, 2019
This study was aimed to explore the teacher's knowledge and understanding of mathematical literacy, especially on the PISA survey, understanding of mathematical literacy, aspects, and processes of evaluating mathematical literacy in the PISA survey and the learning process carried out by respondents in their respective classes. The research used a…
Descriptors: Foreign Countries, Junior High School Teachers, Mathematics Teachers, Knowledge Level
Direct linkXu, Binyan, Ed.; Zhu, Yan, Ed.; Lu, Xiaoli, Ed. – Research in Mathematics Education, 2021
This book seeks to illustrate the research on mathematics competencies and disposition in China according to the conceptual development and empirical investigation perspective. Mathematics education in China has a distinguishing feature a focus of attention to mathematical competency. Paradoxically, there has not been an explicit, refined, and…
Descriptors: Mathematics Skills, Mathematics Achievement, Mathematics Education, Evaluation Methods
Kocabas, Sezai; Ozfidan, Burhan; Burlbaw, Lynn M. – EURASIA Journal of Mathematics, Science and Technology Education, 2020
STEM education was a systematic teaching and/or learning process in the STEM fields and a positive correlation existed between STEM education, and the economic prosperity and power of a nation in the globalized world. In recent years, rising concerns have emerged about American STEM education. Many stakeholders wondered that whether the nation has…
Descriptors: STEM Education, Teacher Effectiveness, Teacher Qualifications, Correlation
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
