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Student Dropout Prediction [PDF]
Artificial Intelligence in Education21st International Conference, 2020 Among the many open problems in the learning process, students dropout is one of the most complicated and negative ones, both for the student and the institutions, and being able to predict it could help to alleviate its social and economic costs. To address this problem we developed a tool that, by exploiting machine learning techniques, allows to ...
Del Bonifro F +3 more
europepmc +5 more sources
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 +2 more
openaire +2 more sources
University Dropout in Engineering: Motives and Student Trajectories [PDF]
Psicothema, 2021 Dropout in higher education is a concern for students, families, educational institutions, and society. Tertiary education is an important mechanism for empowering people and STEM courses are vital to countries' development.The study combined quantitative and qualitative data.
Casanova, Joana R. +3 more
openaire +4 more sources
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 +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 ModellingHigh 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 +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 +2 more
doaj +1 more source
Is Dropping out of High School More Likely after Stressful Life Events? [PDF]
, 2018 High school dropout is typically viewed as the result of long-held vulnerabilities such as learning problems. This research brief, by PRC visiting scholars Véronique Dupéré and Eric Dion and PRC faculty research associate Robert Crosnoe and colleagues ...
Archambault, Isabelle +5 more
core +1 more source
PLoS ONE, 2020 In this study we modelled possible causes and consequences of student burnout and engagement on academic efficacy and dropout intention in university students. Further we asked, can student engagement protect against the effects of burnout?
João Marôco +9 more
doaj +1 more source
BMC Psychology, 2018 Background Lack of formal education is an important social determinant of health inequality and represents a public health problem. School dropout is particularly common in vocational education; however few prevention programs targeting dropout in the ...
Susan Andersen +5 more
doaj +1 more source
Applied Artificial Intelligence, 2022 The Sub-Saharan countries are leading in dropout rates in secondary schools by 37.5% followed by South Asia 15.5% and Middle East 11% in 2018. In Tanzania, student dropouts in secondary schools increased from 3.8% in 2018 to 4.2% in 2019.
Yuda N. Mnyawami +2 more
doaj +1 more source