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Student development survey 2019 [PDF]

open access: yes, 2019
Findings from the Institute of Student Employers, student development survey ...
Institute of Student Employers
core  

Influenza Vaccination Responses in Disabled Stroke Patients: A Single‐Center Prospective Observational Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao   +5 more
wiley   +1 more source

Student dropout in upper secondary education in Norway: A challenge to the principles of the welfare state?

open access: yesLondon Review of Education, 2017
This article presents a review of extant research on student dropout in Norway, originally undertaken as part of a systematic review. The article contextualizes the foundational principle of equality as championed by the welfare state and identifies the
doaj   +2 more sources

School factors related to dropout from primary and secondary education in Serbia: A qualitative research [PDF]

open access: yesPsihološka Istraživanja, 2017
Dropping out of educational system is a serious individual, familial, educational and social problem. It is a complex process influenced by a large number of factors.
Simić Nataša, Krstić Ksenija
doaj   +1 more source

Intelligent System to Predict University Students Dropout

open access: yesInternational Journal of Online and Biomedical Engineering (iJOE), 2022
The objective of this research is to reduce the dropout rate of students in the Faculty of Systems Engineering and Informatics of the Universidad Nacional Mayor de San Marcos – FISI-UNMSM, through the implementation of an intelligent system with a data mining approach and the autonomous learning algorithm (decision trees) that predicts which students ...
Hugo Vega Huerta   +4 more
openaire   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani   +10 more
wiley   +1 more source

The patterns of the dropout of doctoral students [PDF]

open access: yesHungarian Educational Research Journal, 2019
Compared to the trends of the OECD countries, the proportion of graduated higher educational students is low in Hungary, especially in the doctoral education; however, the need for doctoral education has been increased due to the expansion in the past two and half decades.
openaire   +2 more sources

Dropout Prediction by Interpretable Machine Learning Model Towards Preventing Student Dropout

open access: yes, 2022
In the education industry, the needs of online learning are significantly increasing. However, the web-based courses demonstrate higher dropout rates than traditional education courses. As a result, engaging students with data analysis is getting more crucial especially for distance learning.
Miki Katsuragi, Kenji Tanaka
openaire   +2 more sources

Thalamo‐Lesional Connectivity Signatures of Bilateral Tonic–Clonic Seizures in Focal Cortical Dysplasia‐Related Epilepsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie   +8 more
wiley   +1 more source

A novel AI-driven model for student dropout risk analysis with explainable AI insights

open access: yesComputers and Education: Artificial Intelligence
The increasing number of students dropping out of school due to social, economic, personal (e.g., depression or persistent failure), and health issues is a growing concern for governments, educators, and guardians.
Sumaya Mustofa   +4 more
doaj   +1 more source

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