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Agnihotri, Lalitha; Aghababyan, Ani; Mojarad, Shirin; Riedesel, Mark; Essa, Alfred – International Educational Data Mining Society, 2015
Student login data is a key resource for gaining insight into their learning experience. However, the scale and the complexity of this data necessitate a thorough exploration to identify potential actionable insights, thus rendering it less valuable compared to student achievement data. To compensate for the underestimation of login data…
Descriptors: Data Analysis, Web Based Instruction, Student Behavior, Correlation
Denbleyker, John Nickolas – ProQuest LLC, 2012
The shortcomings of the proportion above cut (PAC) statistic used so prominently in the educational landscape renders it a very problematic measure for making correct inferences with student test data. The limitations of PAC-based statistics are more pronounced with cross-test comparisons due to their dependency on cut-score locations. A better…
Descriptors: Achievement Gap, Bayesian Statistics, Inferences, Trend Analysis
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Blunch, Niels-Hugo – Education Economics, 2014
Several African countries instituted education reforms in the 1980s and 1990s. Yet, there is only little evidence on the effectiveness of these programs. Additionally, most previous studies of the determinants of literacy and numeracy have considered the proficiency in only one language and, possibly, numeracy. This paper examines both of these…
Descriptors: Foreign Countries, Literacy Education, Numeracy, Mathematics Education