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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
Ozgen, Kemal; Tataroglu, Berna; Alkan, Huseyin – Educational Research and Reviews, 2011
The present study aims to identify pre-service mathematics teachers' multiple intelligence domains and learning style profiles, and to establish relationships between them. Employing the survey model, the study was conducted with the participation of 243 pre-service mathematics teachers. The study used the "multiple intelligence domains…
Descriptors: Foreign Countries, Preservice Teachers, Mathematics Teachers, Profiles
West, Ellen Jo – ProQuest LLC, 2010
Each student has a unique learning style or individual way of perceiving, interacting, and responding to a learning environment. The purpose of this study was to identify and compare the prevalence of learning styles among undergraduate Sport Management Studies (SMS) students at California University of Pennsylvania (Cal U). Learning style…
Descriptors: Cognitive Style, Distance Education, Incidence, Web Based Instruction
Caldwell, Adonna B. – ProQuest LLC, 2009
The purpose of this study was to investigate if there were relationships between college students' talent themes as defined by the Clifton StrengthsFinder(TM) Instrument and their learning style as defined by Kolb Learning Styles Inventory. Logistical regression methodology was utilized to assess the relationship between learning styles and talent…
Descriptors: Cognitive Style, Nursing Students, Empathy, College Students

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