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Download full textPavlekovic, Margita, Ed.; Kolar-Begovic, Zdenka, Ed.; Kolar-Super, Ruzica, Ed. – Online Submission, 2013
The universities and faculties which educate teachers of mathematics for teaching pupils/students of any age group from pre-school age to higher education carefully monitor and compare valuable results of this research, detect the areas in which the mathematical achievements of pupils should be improved at the national level and propose the ways…
Descriptors: Operations Research, Geometric Concepts, Foreign Countries, Mathematics Instruction
Peer reviewedLynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Direct linkParisi, Joseph – International Journal of Music Education, 2004
The purpose of this study was to assess fourth- and fifth-grade students' (9- and 10-year-olds') affective response and ability to discriminate between melody and improvisation after receiving instruction in singing and/or playing a piece in the blues style. Subjects (N= 102) were assigned to one of three equal-sized groups. Group 1 learned to…
Descriptors: Singing, Creative Activities, Grade 5, Grade 4
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
