Results 11 to 20 of about 29,948 (298)

Predicting Student-Teachers Dropout Risk and Early Identification: A Four-Step Logistic Regression Approach

IEEE Access, 2022
Student-teachers’ dropout is a complicated and serious issue in the learning process, with its attendant negative implications on students, academic institutions, economic resources, and society.
Harman Preet Singh, Hilal Nafil Alhulail
doaj   +1 more source

Predicting Student Dropout and Academic Success

Data, 2022
Higher education institutions record a significant amount of data about their students, representing a considerable potential to generate information, knowledge, and monitoring. Both school dropout and educational failure in higher education are an obstacle to economic growth, employment, competitiveness, and productivity, directly impacting the lives ...
Valentim Realinho, Jorge Machado, Luís M. T. Baptista, Mónica V. Martins   +3 more
openaire   +2 more sources

Factors contributing to university dropout: a review

Frontiers in Education, 2023
IntroductionDropout is one of the problems that the university education system has to face every year. The educational community is involved in the reasons for its trajectory as a social problem, which does not exempt any student in the world. Its study
Oswaldo Lorenzo-Quiles, Samuel Galdón-López, Ana Lendínez-Turón   +2 more
doaj   +1 more source

Advancing school dropout early warning systems: the IAFREE relational model for identifying at-risk students

Frontiers in Psychology, 2023
IntroductionThere is a global effort to address the school dropout phenomenon. The urgency to act on it comes from the harmful evidence that school dropout has on societal and individual levels.
Angelina Nunes de Vasconcelos, Angelina Nunes de Vasconcelos, Leogildo Alves Freires, Leogildo Alves Freires, Gleidson Diego Lopes Loureto, Gabriel Fortes, Júlio Cezar Albuquerque da Costa, Luan Filipy Freire Torres, Ig Ibert Bittencourt, Ig Ibert Bittencourt, Thiago Damasceno Cordeiro, Thiago Damasceno Cordeiro, Seiji Isotani, Seiji Isotani   +13 more
doaj   +1 more source

Dropout at Danish vocational schools: does the school’s health promotion capacity play a role? A survey- and register-based prospective study

BMC Public Health, 2020
Background School dropout rates and risky health behavior is common among students in vocational education and training (VET) schools. Students with poor physical and mental health are more likely to drop out, and as such VET schools may be an important ...
Maja Thøgersen, Mette Aadahl, Peter Elsborg, Charlotte Demant Klinker   +3 more
doaj   +1 more source

Why does fiscal decentralization negatively affect student dropout rates? Results from Indonesia’s National Socioeconomic Survey 2002-2014 and two case studies

JPAS (Journal of Public Administration Studies), 2017
The consequences of fiscal decentralization on basic education outcomes are always debatable. Yet, its consequences on student dropout rates remain questionable.
Reni Tri Pujiastuti
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Dropped-out Students and the Decision to Drop-out in Hungary

Central European Journal of Educational Research, 2019
The interpretation of the phenomenon of student dropout, which represents a waste of a relatively large proportion of human and material capital in the social, individual and institutional domain, is impossible without examining dropout students. In this
Gabriella Pusztai, Hajnalka Fényes, Fruzsina Szigeti, Katalin Pallay   +3 more
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Predictors of Piano Student Dropouts [PDF]

Intersections, 2020
Dropping out of piano lessons before reaching a moderate mastery of the instrument is a frequent problem among students. Previous research finds that children often leave music lessons as the result of predictors such as expertise—measured by musical ability, academic achievement, and musical achievement—and environment—measured by social and ...
Gerelus, Karen, Comeau, Gilles, Swirp, Mikael   +2 more
openaire   +2 more sources

Predicting Student Dropout with RFC and KNNC Machine Learning Method: Does Gaming Time Matter? [PDF]

Journal of Artificial Intelligence and System Modelling
High student dropout rates represent a multifaceted challenge for educational institutions and society at large. This study delves into the efficacy of machine learning (ML) models for predicting student dropout, with a particular focus on analyzing the ...
Xinyong Lu, Wei Ding, Wanting Luo, Guizhou Wan   +3 more
doaj   +1 more source

Predicting Student Dropout in Self-Paced MOOC Course Using Random Forest Model

Information, 2021
A significant problem in Massive Open Online Courses (MOOCs) is the high rate of student dropout in these courses. An effective student dropout prediction model of MOOC courses can identify the factors responsible and provide insight on how to initiate ...
Sheran Dass, Kevin Gary, James Cunningham   +2 more
doaj   +1 more source