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Quy, Tai Le; Roy, Arjun; Friege, Gunnar; Ntoutsi, Eirini – International Educational Data Mining Society, 2021
Traditionally, clustering algorithms focus on partitioning the data into groups of similar instances. The similarity objective, however, is not sufficient in applications where a "fair-representation" of the groups in terms of protected attributes like gender or race, is required for each cluster. Moreover, in many applications, to make…
Descriptors: Cluster Grouping, Artificial Intelligence, Mathematics, Computer Uses in Education
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McKeown, Shelley; Stringer, Maurice; Cairns, Ed – British Educational Research Journal, 2016
With increasing ethnic and racial diversity in the classroom, understanding classroom dynamics and the use of space has become increasingly important. In particular, when theoretical perspectives, such as that offered by intergroup contact research, promotes the importance of contact between competing groups to improve relations. Adopting a…
Descriptors: Classroom Environment, School Segregation, Intergroup Relations, Cluster Grouping
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Kelly, Peter; Pratt, Nick; Dorf, Hans; Hohmann, Ulrike – European Educational Research Journal, 2013
This article reports the findings of a comparative study of pedagogy in lower-secondary school mathematics in Denmark and England. Lesson observations and interviews identified the range of goals towards which teachers in each country worked and the actions these prompted. These were clustered using the lens of Bernstein's pedagogic discourse to…
Descriptors: Foreign Countries, Mathematics Curriculum, Mathematics Instruction, Comparative Education
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Pedder, David – Curriculum Journal, 2007
This article reports findings from a survey of the values and perceived practices of 1212 members of staff in 32 schools in England participating in the "Learning How to Learn" (LHTL) project in relation to teachers' professional learning. Through factor analysis four underlying dimensions of teachers' learning practices were developed.…
Descriptors: Foreign Countries, Lifelong Learning, Learning Strategies, Factor Analysis