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Direct linkYukselturk, Erman; Ozekes, Serhat; Turel, Yalin Kilic – European Journal of Open, Distance and E-Learning, 2014
This study examined the prediction of dropouts through data mining approaches in an online program. The subject of the study was selected from a total of 189 students who registered to the online Information Technologies Certificate Program in 2007-2009. The data was collected through online questionnaires (Demographic Survey, Online Technologies…
Descriptors: Online Courses, Distance Education, Dropout Characteristics, Prediction
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Fitzpatrick, Michele, Ed. – Learning Point Associates / North Central Regional Educational Laboratory (NCREL), 2004
"Notes & Reflections" offers practical information--ideas, strategies, tools, and resources--about topics of special interest to professional developers who are working to improve school performance. Today, professional development services to schools are provided by variety of people: teacher leaders; principals; and district, regional, and state…
Descriptors: Data Analysis, Reflection, Change Strategies, Educational Improvement
Patton, Stanley R. – 1969
This document contains a design for creating an educational data bank of pupil personnel information. The specific information that should be collected and maintained in such an updatable data bank is described in detail. The document provides instructions on interpretation of this data for (1) predicting approximate percentages of students who…
Descriptors: Data Analysis, Data Collection, Data Processing, Databases
