Results 31 to 40 of about 167,051 (298)

Trajectories preceding student dropout

open access: yes, 2019
In this chapter we use a process approach to better understand dropout from higher education. In our approach we combine theory on student attrition with theory on micro-level identity development, and study trajectories of exploration and commitment in an intensive longitudinal study spanning several months.
Mandy A.E. van der Gaag   +2 more
openaire   +3 more sources

Aspects of University Dropout Criteria Groups: Insights from the Literature

open access: yesEducation Sciences
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 Tensions Between Student Dropout and Flexibility in Learning Design: The Voices of Professors in Open Online Higher Education

open access: yesInternational 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

Predicting Student Dropout with Minimal Information

open access: yesIraqi Journal of Science, 2023
  Student dropout is a problem for both students and universities. However, in the crises that Lebanon is going through, it is becoming a serious financial problem for Lebanese private universities. To try to minimize it, it must be predicted in order to implement the appropriate actions.
Nassim MOUCHANTAF, Maroun Chamoun
openaire   +1 more source

A Study on Dropout Prediction for University Students Using Machine Learning

open access: yesApplied 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

Comparing Correlation-Based Feature Selection and Symmetrical Uncertainty for Student Dropout Prediction

open access: yesJurnal 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

A Survey of Machine Learning Approaches and Techniques for Student Dropout Prediction

open access: yesData 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

Why Students Drop Out of School: A Review of 25 Years of Research [PDF]

open access: yes, 2008
Reviews research on the underlying causes of the high school dropout crisis -- individual and institutional characteristics that predict whether a student is likely to drop out of high school.
Russell W. Rumberger, Sun Ah Lim
core  

Dropping out of medical school in the UK : explaining changes over 10 years [PDF]

open access: yes, 2007
For the 1990-92 and 1998-2000 cohorts we find the probability of dropping out of medical school is lower for students (i) with better prior qualifications, (ii) with a parent who is a doctor, (iii) living on ...
Arulampalam, Wiji   +2 more
core   +1 more source

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

open access: yesMolecular 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

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