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Hayat 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
Zimmermann, Judith; Brodersen, Kay H.; Heinimann, Hans R.; Buhmann, Joachim M. – Journal of Educational Data Mining, 2015
The graduate admissions process is crucial for controlling the quality of higher education, yet, rules-of-thumb and domain-specific experiences often dominate evidence-based approaches. The goal of the present study is to dissect the predictive power of undergraduate performance indicators and their aggregates. We analyze 81 variables in 171…
Descriptors: Undergraduate Students, Graduate Students, Academic Achievement, Prediction
Zhu, Pei; Jacob, Robin; Bloom, Howard; Xu, Zeyu – MDRC, 2011
This paper provides practical guidance for researchers who are designing and analyzing studies that randomize schools--which comprise three levels of clustering (students in classrooms in schools)--to measure intervention effects on student academic outcomes when information on the middle level (classrooms) is missing. This situation arises…
Descriptors: Intervention, Academic Achievement, Research Methodology, Research Design
Wong-Kam, JoAnn C. W. N. – ProQuest LLC, 2012
The focus of this study was on creating a climate for innovation in schools to lead to improvements in student achievement. Bolman and Deal's (2008) four frame model of organizational thinking was used as a framework for the study. The study examined the influence of leadership practices, structure, and school culture in the context of a K-12…
Descriptors: Educational Innovation, Academic Achievement, Models, Qualitative Research
Monreal, Jeanette – ProQuest LLC, 2013
Although implemented in 1975, the inclusion of students with special needs into the mainstream general education environment has taken a slow path. Now in an age where federal and state mandates affect the ways in which schools are run, the least restrictive environment mandate has been met with increasingly wide acceptance. In order for all…
Descriptors: Principals, Social Justice, Administrator Characteristics, Inclusion
Vander Horst, Anthony – ProQuest LLC, 2012
In a study of 5285 8th graders from the Gang Resistance and Education Training (G.R.E.A.T.) research, this study applied Travis Hirschi's social bonding theory to examine the curriculum's efficacy in increasing conventional bonding (friends with positive peers, succeeding at education etc.) and decreasing non-conventional bonding (drug…
Descriptors: Grade 8, Resistance (Psychology), Juvenile Gangs, Program Effectiveness
Lee, Chang-Hun – Journal of Interpersonal Violence, 2011
The aim of this study is to identify an ecological prediction model of bullying behaviors. Based on an ecological systems theory, this study identifies significant factors influencing bullying behaviors at different levels of middle and high school. These levels include the microsystem, mesosystem, exosystem, and macrosystem. More specifically,…
Descriptors: Community Characteristics, Bullying, Models, Parent Participation
Marsh, Herbert W.; Ludtke, Oliver; Robitzsch, Alexander; Trautwein, Ulrich; Asparouhov, Tihomir; Muthen, Bengt; Nagengast, Benjamin – Multivariate Behavioral Research, 2009
This article is a methodological-substantive synergy. Methodologically, we demonstrate latent-variable contextual models that integrate structural equation models (with multiple indicators) and multilevel models. These models simultaneously control for and unconfound measurement error due to sampling of items at the individual (L1) and group (L2)…
Descriptors: Educational Environment, Context Effect, Models, Structural Equation Models
Khodarahimi, Siamak; Rasti, Ali; Khajehie, Malihe; Sattar, Rea – Online Submission, 2009
The present study was to examine the effects of personal and university bounded factors in students mental health in north of Fars province, Iran. The effects of these factors on university students' psychopathology within a survey design were investigated among 300 participants--94 males and 206 females, who were selected through random sampling…
Descriptors: Socioeconomic Status, Marital Status, Mental Health, Psychopathology

Gimmel, Duane R. – Journal of Experimental Education, 1974
This paper presents the finding of an investigation for determining course achievement utilizing the statistical technique of path analysis. (Author)
Descriptors: Academic Achievement, Models, Path Analysis, Research Methodology

Poggio, John P.; Glasnapp, Douglas R. – Educational and Psychological Measurement, 1973
Descriptors: Academic Achievement, Evaluation Methods, Formative Evaluation, Item Sampling

Campbell, W. J. – Australian Journal of Education, 1974
A total of 484 tenth-grade students, evenly divided between schools with Commonwealth libraries and those without, were assessed for motivational dispositions (need for achievement, test anxiety, and sense of responsibility for successes and failures), academic values, and displayed motivation (as revealed in choice of tasks). (Editor)
Descriptors: Academic Achievement, Library Facilities, Models, Research Methodology

Bock, R. Darrell; And Others – Educational Researcher, 1982
Describes the evolution of national educational assessment in the United States, its present stage of development, methodological and reporting problems, and approaches applicable to assessment data. Examines how proposed approaches can be applied in the California Assessment Program and in the National Assessment of Educational Progress. (MJL)
Descriptors: Academic Achievement, Educational Assessment, Evaluation Methods, Item Sampling
Probing a Model of Educational Productivity in High School Science with National Assessment Samples.

Walberg, Herbert J.; And Others – Journal of Educational Psychology, 1982
A psychological theory of educational productivity is tested, and the usefulness of the National Assessment of Educational Progress data for secondary analyses for policy purposes is explored. Class as a social psychological factor and the didactic quality of instruction appear to be the only unequivocal and potentially manipulable causes of…
Descriptors: Academic Achievement, High Schools, Models, Productivity
Upp, Caroline M.; Barcikowski, Robert S. – 1981
Demands for more complete information on educational programs have emanated from national, state and local sources. Their focus is on the processes that are occurring in individual classrooms. The information that is collected to provide insight into educational programs is customarily summative in nature, answering, for example, questions…
Descriptors: Academic Achievement, Attitude Measures, Cognitive Measurement, Evaluation Methods
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