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Interpretable Deep Learning for University Dropout Prediction
Proceedings of the 21st Annual Conference on Information Technology Education, 2020The early identification of college students at risk of dropout is of great interest and importance all over the world, since the early leaving of higher education is associated with considerable personal and social costs. In Hungary, especially in STEM undergraduate programs, the dropout rate is particularly high, much higher than the EU average.
Máté Baranyi +2 more
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FICAvis: Data Visualization to Prevent University Dropout
2020 24th International Conference Information Visualisation (IV), 2020The FICA project - Tools for Identifying and Combating Dropout - started at the University of Aveiro in 2015 with the aim to help reduce and prevent dropouts and increase academic success among university students. Within the project a signicant amount of data is provided to different University stakeholders to monitor academic issues, however, these ...
Fabio Ferreira +3 more
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Parental background and university dropout in Italy
Higher Education, 2012Using longitudinal data drawn from the European Community Household Panel, this paper examines Italian university entry and dropout rates in the context of specific parental and family characteristics. We are interested in the effects of the household’s cultural and financial conditions on shaping investment in tertiary education and its failure, at ...
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EvolveDTree: Analyzing Student Dropout in Universities
2020 International Conference on Systems, Signals and Image Processing (IWSSIP), 2020G.A.S. Santos +5 more
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University dropouts: supply-side issues in Italy [PDF]
, 2012 High student dropout rates are a longstanding issue in Italian universities. University dropouts may be explained by supply side characteristics of Italian universities as well as by students’ individual characteristics. However, existing contributions have focused on the latter group of characteristics.
Gitto, Lara +2 more
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Planning for post‐pandemic cancer care delivery: Recovery or opportunity for redesign?
Ca-A Cancer Journal for Clinicians, 2021Pelin Cinar +2 more
exaly
Predictive Analytics for Reducing University Dropout Rates
Higher education institutions face a problem with student turnover that has many aspects and affects both students and universities in different ways. Using predictive analytics and machine learning, this study shows a new way to deal with this problem.Dwijendra Nath Dwivedi +2 more
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A Survey of Machine Learning Approaches for Student Dropout Prediction in Online Courses
ACM Computing Surveys, 2021Bardh Prenkaj +2 more
exaly
Dropouts from an Australian University
Australian Journal of Education, 1971openaire +1 more source