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Retelsdorf, Jan; Becker, Michael; Koller, Olaf; Moller, Jens – British Journal of Educational Psychology, 2012
Background: Assigning students to different school tracks on the basis of their achievement levels is a widely used strategy that aims at giving students the best possible learning opportunity. There is, however, a growing body of literature that questions such positive effects of tracking. Aims: This study compared the developmental trajectories…
Descriptors: Academic Achievement, Vocational Education, Standardized Tests, Foreign Countries
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use

De Landsheere, Gilbert – Comparative Education Review, 1974
In this article, we examine what IEA data tell us about the situation of the gifted in Belgium. (Author)
Descriptors: Academic Achievement, Data Collection, High Achievement, National Surveys
Ngaiyaye, Morven S. W.; VanderPloge, Arie – 1986
This study of the effects of computer-assisted instruction (CAI) on the academic achievement of educationally disadvantaged students in grades 2 through 8 in four urban schools tested three hypotheses: (1) supplementary CAI programs are significantly more effective than non-CAI supplementary instruction approaches for disadvantaged students; (2)…
Descriptors: Academic Achievement, Analysis of Covariance, Computer Assisted Instruction, Conventional Instruction
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