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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
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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
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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
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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
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IEEE Access, 2022 Student-teachers’ dropout is a complicated and serious issue in the learning process, with its attendant negative implications on students, academic institutions, economic resources, and society.
Harman Preet Singh, Hilal Nafil Alhulail
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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
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Factors contributing to university dropout: a review
Frontiers in Education, 2023 IntroductionDropout is one of the problems that the university education system has to face every year. The educational community is involved in the reasons for its trajectory as a social problem, which does not exempt any student in the world. Its study
Oswaldo Lorenzo-Quiles +2 more
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Frontiers in Psychology, 2023 IntroductionThere is a global effort to address the school dropout phenomenon. The urgency to act on it comes from the harmful evidence that school dropout has on societal and individual levels.
Angelina Nunes de Vasconcelos +13 more
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International Journal on Emerging Trends in TechnologyStudent dropout poses a major challenge to educational institutions, affecting academic performance and institutional reputation. This study applies machine learning techniques to predict at-risk students using data from the Department of Computer Science, University of Benin (2016–2020), with 906 records analyzed. Six classifiers—Naive Bayes, Logistic
Dr. Priti Sanjekar +4 more
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Predicting Student Dropout and Academic Success
Data, 2022 Higher education institutions record a significant amount of data about their students, representing a considerable potential to generate information, knowledge, and monitoring. Both school dropout and educational failure in higher education are an obstacle to economic growth, employment, competitiveness, and productivity, directly impacting the lives ...
Valentim Realinho +3 more
openaire +2 more sources