Results 31 to 40 of about 3,066,894 (297)
Do tertiary dropout students really not succeed in European labour markets? [PDF]
Tertiary education has been expanding hugely over the last decades, so that tertiary dropout students will constitute a growing distinctive group in future labour markets.
SCHNEPF Sylke, Schnepf, Sylke V.
core +1 more source
Aspects of University Dropout Criteria Groups: Insights from the Literature
Student 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
The minimum dropout age and student victimization
Abstract Over the years, the minimum dropout age has been raised to 18 in 21 states. Although these policy changes are promoted for their educational benefits, they have been shown to reduce crimes committed by youths in the affected age groups. However, an unintended consequence of increasing the minimum dropout age could be the displacement of ...
Anderson, D. Mark +2 more
openaire +2 more sources
Dropout risks of medical students [PDF]
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
Dropout Prevention Intervention Fidelity of Implementation Tools [PDF]
MCPER has created two tools to measure the fidelity of implementation for Project GOAL, a dropout prevention intervention: The Dropout Prevention Intervention Fidelity Measurement Form for daily interventions measures the fidelity of implementation of
The Meadows Center for Preventing Educational Risk
core +1 more source
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
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
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
A Study on Dropout Prediction for University Students Using Machine Learning
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
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

