TY  - CONF
A1  - Kramer, Pia
A1  - Bragard, Michael
A1  - Ritz, Thomas
A1  - Ferfer, Ute
A1  - Schiffers, Tim
T1  - Visualizing, Enhancing and Predicting Students’ Success through ECTS Monitoring
T2  - 2024 IEEE Global Engineering Education Conference (EDUCON)
N2  - 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.
KW  - Monitoring
KW  - Engineering education
KW  - Data visualization
KW  - Accuracy
KW  - Data analysis
Y1  - 2024
UR  - https://opus.bibliothek.fh-aachen.de/opus4/frontdoor/index/index/docId/11463
SN  - 2165-9559
SN  - 2165-9567 (eISSN)
N1  - 2024 IEEE Global Engineering Education Conference (EDUCON), 08-11 May 2024, Kos Island, Greece
PB  - IEEE
CY  - New York, NY
ER  -