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Student Dropout Prediction [PDF]
Artificial Intelligence in Education, 2020 Among the many open problems in the learning process, students dropout is one of the most complicated and negative ones, both for the student and the institutions, and being able to predict it could help to alleviate its social and economic costs. To address this problem we developed a tool that, by exploiting machine learning techniques, allows to ...
Del Bonifro F +3 more
europepmc +7 more sources
Student Dropout as a Never-Ending Evergreen Phenomenon of Online Distance Education [PDF]
European Journal of Investigation in Health, Psychology and Education, 2023 The research on student dropout demonstrates that there is no consensus on its definition and scope. Although there is an expanding collection of research on the topic, student dropout remains a significant issue, characterized by numerous uncertainties ...
Sevgi Elibol, Aras Bozkurt
doaj +2 more sources
Evaluation of Student Dropout Rate in Alternative Higher Education Sector of Sri Lanka: A Case Study [PDF]
OUSL Journal, 2022 The main objectives of this study were to assess the average student dropout rate of the Sri Lanka Institute of Advanced Technological Education (SLIATE) and its regional centers by analyzing five years of data on student intake and convocation ...
W.B.K. Bandara +2 more
doaj +2 more sources
Mental distress, food insecurity and university student dropout during the COVID-19 pandemic in 2020: evidence from South Africa [PDF]
Frontiers in PsychiatryBackgroundStudent dropout has been a key issue facing universities for many years. The COVID-19 pandemic was expected to exacerbate these trends; however, international literature has produced conflicting findings.
Fezile Wagner +5 more
doaj +2 more sources
A hybrid model integrating recurrent neural networks and the semi-supervised support vector machine for identification of early student dropout risk [PDF]
PeerJ Computer ScienceBackground Student dropout rates are one of the major concerns of educational institutions because they affect the success and efficacy of them. In order to help students continue their learning and achieve a better future, there is a need to identify ...
Huong Nguyen Thi Cam +2 more
doaj +3 more sources
University Student Dropout Prediction Using Pretrained Language Models
Applied Sciences, 2023 Predicting student dropout from universities is an imperative but challenging task. Numerous data-driven approaches that utilize both student demographic information (e.g., gender, nationality, and high school graduation year) and academic information (e.
Hyun-Sik Won +4 more
doaj +3 more sources
SDA-Vis: A Visualization System for Student Dropout Analysis Based on Counterfactual Exploration
Applied Sciences, 2022 High and persistent dropout rates represent one of the biggest challenges for improving the efficiency of the educational system, particularly in underdeveloped countries.
Germain Garcia-Zanabria +4 more
doaj +3 more sources
Mathematics, 2021 Student dropout, defined as the abandonment of a high education program before obtaining the degree without reincorporation, is a problem that affects every higher education institution in the world.
Diego Opazo +3 more
doaj +3 more sources
Applied SciencesHigh student dropout rates are a critical issue in Somaliland, significantly impeding educational progress and socioeconomic development. This study leveraged data from the 2022 National Education Accessibility Survey (NEAS) to predict student dropout ...
Mukhtar Abdi Hassan +2 more
doaj +3 more sources
University Dropout in Engineering: Motives and Student Trajectories [PDF]
Psicothema, 2021 Dropout in higher education is a concern for students, families, educational institutions, and society. Tertiary education is an important mechanism for empowering people and STEM courses are vital to countries' development.The study combined quantitative and qualitative data.
Casanova, Joana R. +3 more
openaire +4 more sources