Results 31 to 40 of about 29,948 (298)
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 +2 more
openaire +2 more sources
Dropout risks of medical students [PDF]
, 2019 Abstract Background The moderation of student dropout is an important aim in the medical training that requires significant resources from individual and national economy points of view. Hungarian medical training has high quality and strong international attraction, although students are exposed to significant stress in the extremely selective
Gabriella Pusztai +3 more
openaire +2 more sources
Aspects of University Dropout Criteria Groups: Insights from the Literature
Education SciencesStudent dropout in higher education remains a critical issue with far-reaching consequences for students, institutions, and society. This study aims to identify and analyse the criteria influencing student dropout and to propose strategies for improving ...
Anita Jansone +5 more
doaj +1 more source
Using Nudges to Prevent Student Dropouts in the Pandemic [PDF]
SSRN Electronic Journal, 2020 The impacts of COVID-19 reach far beyond the hundreds of lives lost to the disease; in particular, the pre-existing learning crisis is expected to be magnified during school shutdown. Despite efforts to put distance learning strategies in place, the threat of student dropouts, especially among adolescents, looms as a major concern. Are interventions to
Lichand, Guilherme, Christen, Julien
openaire +3 more sources
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Predicting student dropout is essential for universities dealing with high attrition rates. This study compares two feature selection (FS) methods—correlation-based feature selection (CFS) and symmetrical uncertainty (SU)—in educational data mining for ...
Haryono Setiadi +5 more
doaj +1 more source
International Review of Research in Open and Distributed Learning, 2021 Flexibility is typical of open universities and their e-learning designs. While this constitutes their main attraction, promising learners will be able to study “anytime, anyplace,” this also demands more self-regulation and engagement, a cause for ...
Marlon Xavier, Julio Meneses
doaj +1 more source
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
A Survey of Machine Learning Approaches and Techniques for Student Dropout Prediction
Data Science Journal, 2019 School dropout is absenteeism from school for no good reason for a continuous number of days. Addressing this challenge requires a thorough understanding of the underlying issues and effective planning for interventions.
Neema Mduma +2 more
doaj +1 more source
A Study on Dropout Prediction for University Students Using Machine Learning
Applied Sciences, 2023 Student dropout is a serious issue in that it not only affects the individual students who drop out but also has negative impacts on the former university, family, and society together.
Choong Hee Cho +2 more
doaj +1 more source
Molecular Oncology, EarlyView.RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source