Results 11 to 20 of about 3,066,894 (297)

A hybrid model integrating recurrent neural networks and the semi-supervised support vector machine for identification of early student dropout risk [PDF]

PeerJ Computer Science
Background Student dropout rates are one of the major concerns of educational institutions because they affect the success and efficacy of them. In order to help students continue their learning and achieve a better future, there is a need to identify ...
Huong Nguyen Thi Cam, Aliza Sarlan, Noreen Izza Arshad   +2 more
doaj   +3 more sources

Mental distress, food insecurity and university student dropout during the COVID-19 pandemic in 2020: evidence from South Africa [PDF]

Frontiers in Psychiatry
BackgroundStudent dropout has been a key issue facing universities for many years. The COVID-19 pandemic was expected to exacerbate these trends; however, international literature has produced conflicting findings.
Fezile Wagner, Ryan G. Wagner, Lerato P. Makuapane, Mxolisi Masango, Unathi Kolanisi, Francesc Xavier Gómez-Olivé   +5 more
doaj   +2 more sources

Factors predicting dropout in student nursing assistants [PDF]

Occupational Medicine, 2008
The dropout rate among student nursing assistants (NAs) in Danish health and social care education is high at >20%.To explore if recent low back pain (LBP) history is a predictor of dropout among NA students, taking into account conventional risk factors for LBP, general health and physical fitness.Prospective study with 14-month follow-up (the ...
Svensson, Annemarie Lyng, Strøyer, Jesper, Ebbehøj, Niels Erik, Mortensen, Ole Steen   +3 more
openaire   +4 more sources

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
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

SDA-Vis: A Visualization System for Student Dropout Analysis Based on Counterfactual Exploration

Applied Sciences, 2022
High and persistent dropout rates represent one of the biggest challenges for improving the efficiency of the educational system, particularly in underdeveloped countries.
Germain Garcia-Zanabria, Daniel A. Gutierrez-Pachas, Guillermo Camara-Chavez, Jorge Poco, Erick Gomez-Nieto   +4 more
doaj   +1 more source

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
doaj   +1 more source

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

Dropout intent of students with disabilities

Higher Education, 2023
AbstractWe examine the mechanisms explaining the dropout intentions of students with disabilities by integrating Tinto’s model of student integration, the student attrition model, the composite persistence model, and insights from social stratification research.
Mareike Rußmann, Nicolai Netz, Markus Lörz   +2 more
openaire   +2 more sources

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