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Canto, Natalia Gil; de Oliveira, Marcelo Albuquerque; Veroneze, Gabriela de Mattos – European Journal of Educational Research, 2022
The article aims to develop a machine-learning algorithm that can predict student's graduation in the Industrial Engineering course at the Federal University of Amazonas based on their performance data. The methodology makes use of an information package of 364 students with an admission period between 2007 and 2019, considering characteristics…
Descriptors: Engineering Education, Prediction, Graduation, Industrial Arts
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Nguyen, Giang-Nguyen T.; Havard, Byron; Otto, Barbara – European Journal of Educational Research, 2022
Students drop out of schools for many reasons, and it has negative effects on the individual and society. This paper reports a study using data published in 2015 from the Educational Longitudinal Study conducted by the National Center for Education Statistics to analyze the influence of parental involvement on low-achieving U.S. students'…
Descriptors: Parent Participation, Parent Attitudes, Student Attitudes, High School Students
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Gutiérrez-de-Rozas, Belén; Molina, Elvira Carpintero; López-Martín, Esther – European Journal of Educational Research, 2022
Academic failure and school dropout, or early school leaving, are two of the situations that most concern countries and educational institutions worldwide, because of their prevalence and also their economic and social implications. Despite this prominent role that academic failure and school dropout have in societies, there seems to be no…
Descriptors: Academic Failure, Dropout Rate, Research Reports, Incidence
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Lychuk, Mariia; Bilous, Nataliya; Isaienko, Svitlana; Gritsyak, Lesya; Nozhovnik, Oleg – European Journal of Educational Research, 2021
The purpose of the research was to identify whether the English language e-classes that are automated and delivered through the Smart Sender platform influence the students' attendance and procrastination rates, their motivation, time management skills, cognitive processing speed, and satisfaction. The study used qualitative and quantitative…
Descriptors: Computer Software, Student Motivation, Attendance, Second Language Learning
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Kabakci, Omer Faruk – European Journal of Educational Research, 2019
The purpose of the present study is to determine if high school students' character strengths composed of twenty-four different strengths, virtues including six dimensions and demographic characteristics predict risky behaviors. The participants of the study were 380 students aged between 14-19 years and enrolled in general high schools. The data…
Descriptors: Predictor Variables, High School Students, Student Behavior, Behavior Problems
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Bar-Am, Ran; Arar, Osama – European Journal of Educational Research, 2017
This article deals with the problem of student dropout during the first year in a higher education institution. To date, no model on a budget has been developed and tested to prevent dropout among Engineering Students. This case study was conducted among first-year students taking evening classes in two practical engineering colleges in Israel.…
Descriptors: Dropouts, Dropout Prevention, Budgets, Engineering Education
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Adelman, Melissa A.; Székely, Miguel – European Journal of Educational Research, 2017
School dropout is a growing concern in Central America, and in Latin America as a whole, because of its consequences for economic productivity, the inclusiveness of growth, social cohesion, and increasing youth risks. This paper utilizes more than two decades of household survey data to construct a systematic overview of school dropout at the…
Descriptors: Foreign Countries, Dropouts, Dropout Rate, Potential Dropouts