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McGrath, Patricia – Gifted Education International, 2019
This study focuses on education at primary and secondary level in Northern Ireland and questions whether it meets the needs of gifted students. Gifted students from Mensa were questioned about their experiences in school, and the majority of students stated that they did not have sufficient challenge in school, or any type of differentiation in…
Descriptors: Foreign Countries, Elementary Secondary Education, Academically Gifted, Student Needs
Chang, Sau Hou – Online Submission, 2013
This chapter focuses on the instruction of diverse students in mainstream classrooms. The first part summarizes academic achievement of diverse students from different ethnicity, gender, language and social class. The second part discusses the characteristics of different diverse instruction. The third part suggests specific instructional…
Descriptors: Mainstreaming, Classroom Techniques, Student Diversity, Academic Achievement
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Dupriez, Vincent; Dumay, Xavier; Vause, Anne – Comparative Education Review, 2008
School systems worldwide respond in particular ways to students' academic heterogeneity, and different countries have developed different strategies to manage such heterogeneity. Whereas some countries separate children according to distinctive educational routes (or tracks) at early ages, others rely on intensive use of grade retention, while…
Descriptors: Foreign Countries, Comparative Education, Academic Achievement, Institutional Characteristics
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