[HTML][HTML] Correlates of burnout and dropout intentions in medical students: A cross-sectional study

J Sinval, P Oliveira, F Novais, CM Almeida… - Journal of Affective …, 2024 - Elsevier
Background Burnout is a pervasive issue among medical students, exhibiting a high
prevalence that jeopardizes their academic success and may also predispose them to more …

[HTML][HTML] Predictors of nursing student satisfaction as a key quality indicator of tertiary students' education experience: An integrative review

R Cant, S Gazula, C Ryan - Nurse Education Today, 2023 - Elsevier
Introduction Student satisfaction is an important quality indicator in higher education,
impacting student retention and institutional rankings. Healthcare education literature lacks …

Prediction of early dropout in higher education using the SCPQ

EJ Lizarte Simón, J Gijón Puerta - Cogent Psychology, 2022 - Taylor & Francis
There is enormous concern at the international level vis-à-vis the retention of students in
universities. Given that dropout rates and their social repercussions are causing great …

[HTML][HTML] Diverging perceptions of artificial intelligence in higher education: A comparison of student and public assessments on risks and damages of academic …

M Lünich, B Keller, F Marcinkowski - Computers and Education: Artificial …, 2024 - Elsevier
Abstract The integration of Artificial Intelligence (AI) into higher education, particularly
through Academic Performance Prediction (APP), promises enhanced educational …

[HTML][HTML] Exploring the impact of depression, anxiety, stress, academic engagement, and dropout intention on medical students' academic performance: A prospective …

J Sinval, P Oliveira, F Novais, CM Almeida… - Journal of Affective …, 2024 - Elsevier
Background Depression, anxiety, and stress (DAS) have been linked to poor academic
outcomes. This study explores the relationships among DAS, academic engagement …

Explainable Artificial Intelligence for Academic Performance Prediction. An Experimental Study on the Impact of Accuracy and Simplicity of Decision Trees on …

M Lünich, B Keller - Proceedings of the 2024 ACM Conference on …, 2024 - dl.acm.org
The rising adoption of learning analytics and academic performance prediction technologies
in higher education highlights the urgent need for transparency and explainability. This …

Post-pandemic psychosocial variables affecting academic dropout in a sample of Chilean higher-education students

J Martínez-Líbano, MM Yeomans-Cabrera - Frontiers in Education, 2023 - frontiersin.org
Introduction University dropouts are a problem in the Chilean higher education system,
which causes psychosocial and economic damage and requires further studies to …

Validation study for the Academic Maladjustment Questionnaire on a Romanian sample

AM Cazan, MM Stan, AI Clinciu, C Truţa… - Frontiers in …, 2023 - frontiersin.org
Introduction The problem of academic dropout in the first year of studies represents an
important issue for higher education, in that it accounts for an important indicator of quality …

Dificuldades na adaptação académica e intenção de abandono de estudantes do 1. º ano do Ensino Superior

JR Casanova, AB Bernardo, LS Almeida - Revista de Estudios e …, 2021 - ruc.udc.es
O ingresso no Ensino Superior é um momento determinante na vida dos estudantes,
caracterizado por inúmeras mudanças nas diferentes áreas de vida. Considerando a …

Monitoring and intelligence as predictors of a standardized measure of general and specific higher education achievement

MA Castillo-Diaz, CMA Gomes - Trends in Psychology, 2022 - Springer
Recent research has shown that metacognition, especially monitoring, might be as important
as intelligence to predict academic performance; however, there are few studies that jointly …