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Aksoy, Esra; Narli, Serkan; Aksoy, Mehmet Akif – International Journal of Research in Education and Science, 2018
In the identification process, there may be gifted students who may be unnoticed or students who are misdiagnosed and are disappointed. In this context, this study is a step that may solve these two problems about the identification of mathematically gifted students with the help of data mining, which is data analysis methodology that has been…
Descriptors: Academically Gifted, Talent Identification, Data Collection, Mathematics Instruction
Aksoy, Esra; Narli, Serkan – Online Submission, 2015
The aim of this study was to examine mathematically gifted students' learning styles through data mining method. 'Learning Style Inventory' and 'Multiple Intelligences Scale' were used to collect data. The sample included 234 mathematically gifted middle school students. The construct decision tree was examined predicting mathematically gifted…
Descriptors: Foreign Countries, Middle School Students, Academically Gifted, Mathematics Achievement