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Fast track or failure : a study of the completion rates of graduate students in economics

Ours, Jan C. van; Ridder, Geert - 2000

Persistent link: https://www.econbiz.de/10001446727

Early Detection of Students at Risk – Predicting Student Dropouts Using Administrative Student Data and Machine Learning Methods

Berens, Johannes - 2018

are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative …

Persistent link: https://www.econbiz.de/10012908654

Student Dropout and Graduation in Colombian Economics Programs

González Gutiérrez, María Camila - 2018

Dropout and graduation from undergraduate students were associated with the socioeconomic context, academic performance … students from programs related to economics in Colombia. We estimated a multinomial logit regression to measure marginal … Colombian economics students during the 1998 to 2015 time period …

Persistent link: https://www.econbiz.de/10012909464

Early detection of students at risk : predicting student dropouts using administrative student data and machine learning methods

Berens, Johannes; Schneider, Kerstin; Görtz, Simon; … - 2018

are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative …

Persistent link: https://www.econbiz.de/10011906290

Early detection of students at risk : predicting student dropouts using administrative student data and machine learning methods

Berens, Johannes; Oster, Simon; Schneider, Kerstin; … - 2018

dropout is not only costly for the students but also wastes public funds. To successfully reduce student attrition, it is … imperative to understand which students are at risk of dropping out and what are the underlying determinants of dropout. We …. The EDS we present is tested and applied on a medium-sized state university with 23,000 students and a medium …

Persistent link: https://www.econbiz.de/10011885866