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Direct linkHayat Sahlaoui; El Arbi Abdellaoui Alaoui; Said Agoujil; Anand Nayyar – Education and Information Technologies, 2024
Predicting student performance using educational data is a significant area of machine learning research. However, class imbalance in datasets and the challenge of developing interpretable models can hinder accuracy. This study compares different variations of the Synthetic Minority Oversampling Technique (SMOTE) combined with classification…
Descriptors: Sampling, Classification, Algorithms, Prediction
Download full textAydogdu, Seyhmus – Turkish Online Journal of Distance Education, 2020
The purpose of this research is a comprehensive review of studies towards educational data mining (EDM) in Turkey. For the purpose of this study, graduate theses and articles conducted in Turkey were examined in detail. As a result of the literature review, 48 studies were analyzed in the context of the data mining purpose, the technique used in…
Descriptors: Foreign Countries, Information Retrieval, Data Analysis, Academic Achievement
Balk, David E.; Walker, Andrea C.; Baker, Ardith – Death Studies, 2010
The authors used stratified random sampling to assess the prevalence and severity of bereavement in college undergraduates, providing an advance over findings that emerge from convenience sampling methods or from anecdotal observations. Prior research using convenience sampling indicated that 22% to 30% of college students are within 12 months of…
Descriptors: Undergraduate Students, Grief, Incidence, Geographic Location
National Centre for Vocational Education Research (NCVER), 2012
Developed for users of the Longitudinal Surveys of Australian Youth (LSAY), this user guide consolidates information about the LSAY 2009 cohort into one document. The guide aims to address all aspects of the LSAY data including: how to access the data; data restrictions; variable naming conventions; the structure of the data; documentation;…
Descriptors: Foreign Countries, Employment, Classification, Longitudinal Studies
National Centre for Vocational Education Research (NCVER), 2010
The Longitudinal Surveys of Australian Youth (LSAY) is a research program that tracks young people as they move from school into further study, work and other destinations. This "User guide" has been developed for users of the LSAY data. The guide endeavours to consolidate existing technical documentation and other relevant information…
Descriptors: Longitudinal Studies, Youth, Foreign Countries, Guides
National Centre for Vocational Education Research (NCVER), 2009
The Longitudinal Surveys of Australian Youth (LSAY) is a research program that tracks young people as they move from school into further study, work and other destinations. It uses large, nationally representative samples of young people to collect information about education and training, work, and social development. It includes surveys…
Descriptors: Educational Attainment, Foreign Countries, Youth, Social Development
Skaggs, Gary; Bourque, Mary Lyn – 1998
Political and legislative pressures have posed a number of measurement issues and challenges to the development of sound, valid voluntary national tests (VNTs). This paper focuses on what appear to be the most difficult technical issues related to the VNT proposed by President Clinton in 1997. Technical issues refer to psychometric issues, as…
Descriptors: Academic Achievement, Achievement Tests, Classification, Difficulty Level
