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Eegdeman, Irene; Cornelisz, Ilja; Meeter, Martijn; van Klaveren, Chris – Education Economics, 2023
Inefficient targeting of students at risk of dropping out might explain why dropout-reducing efforts often have no or mixed effects. In this study, we present a new method which uses a series of machine learning algorithms to efficiently identify students at risk and makes the sensitivity/precision trade-off inherent in targeting students for…
Descriptors: Foreign Countries, Vocational Schools, Dropout Characteristics, Dropout Prevention

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