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Erden Ozcan, Sule; Bal, Ayten Pinar – Cypriot Journal of Educational Sciences, 2019
The purpose of this study is to analyse geometric transformations of children in the early childhood period. The study utilised a case study to design one of the qualitative research methods. Interviews were conducted with 6-, 7- and 8-year-old children, in total 24 children, who were enrolled in a private pre-school and a primary school of the…
Descriptors: Transformations (Mathematics), Young Children, Preschools, Elementary Schools
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Lewis, Steven; Hardy, Ian – British Journal of Educational Studies, 2017
This article draws upon recent theorising of the "becoming topological" of space--specifically, how new social spaces are constituted through relations rather than physical locations--to explore how standardised data, and specifically test data, have influenced teachers' work and learning. We outline the varied ways in which teacher…
Descriptors: Foreign Countries, Standardized Tests, Elementary School Teachers, Data Collection
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Yildiz, Sevda Goktepe; Korpeoglu, Seda Goktepe – International Journal of Education in Mathematics, Science and Technology, 2016
In recent years, WebQuests have received a great deal of attention and have been used effectively in teaching-learning process in various courses. In this study, a WebQuest that can be applicable in teaching topological concepts for undergraduate level students was prepared. A number of topological concepts, such as countability, infinity, and…
Descriptors: Foreign Countries, Web Sites, Inquiry, Lesson Plans
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