Kern, B. M. J. (2024). Improving Dropout Prediction for Informatics Bachelor Students. In Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2 (pp. 830–831). https://doi.org/10.1145/3649405.3659472
Despite numerous efforts to predict student dropout in university students, the exact variables influencing dropout remain elusive, as existing studies do not generalise well to other samples. The proposed PhD project uses meta science tools to critically examine sources of heterogeneity, identify relevant variables, and build a predictive model for dropout in informatics bachelor students at TU Wien.
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Research Areas:
Computer Science Foundations: 30% Modeling and Simulation: 70%
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Science Branch:
5090 - Andere Sozialwissenschaften: 10% 1020 - Informatik: 90%