@inproceedings{KramerBragardRitzetal.2024,
  author    = {Kramer, Pia and Bragard, Michael and Ritz, Thomas and Ferfer, Ute and Schiffers, Tim},
  title     = {Visualizing, Enhancing and Predicting Students' Success through ECTS Monitoring},
  series = {2024 IEEE Global Engineering Education Conference (EDUCON)},
  booktitle = {2024 IEEE Global Engineering Education Conference (EDUCON)},
  publisher = {IEEE},
  address   = {New York, NY},
  issn      = {2165-9559},
  doi       = {10.1109/EDUCON60312.2024.10578652},
  pages     = {5 Seiten},
  year      = {2024},
  abstract  = {This paper serves as an introduction to the ECTS monitoring system and its potential applications in higher education. It also emphasizes the potential for ECTS monitoring to become a proactive system, supporting students by predicting academic success and identifying groups of potential dropouts for tailored support services. The use of the nearest neighbor analysis is suggested for improving data analysis and prediction accuracy.},
  language  = {en}
}