We are pleased to announce that Omiros Iatrellis, along with co-authors Nicholas Samaras and Konstantinos Kokkinos, presented their research paper at the International Conference on Current Issues in Education, held from 7th - 8th August 2024 in Vienna, Austria.
Title of the Paper: "Predictive Analytics in Education: Evaluating Machine Learning Methods for Student Dropout Prediction"
About the Paper: This groundbreaking research introduced advanced machine learning techniques within the EDUC8EU platform to forecast student outcomes. The study assessed various factors such as academic achievements, class attendance, socio-economic backgrounds, and behavioral patterns. The findings provided valuable insights for educational practitioners to enhance student retention through data-driven strategies.
About the Authors:
- Omiros Iatrellis: Department of Digital Systems, University of Thessaly, Larissa, Greece.
- Nicholas Samaras: Department of Digital Systems, University of Thessaly, Larissa, Greece.
- Konstantinos Kokkinos: Department of Digital Systems, University of Thessaly, Larissa, Greece.
Significance of the Presentation: This conference provided an excellent opportunity to disseminate the INVEST and EDUC8EU projects. The EDUC8EU platform, an intelligent academic advising system, aims to support students across all academic levels by integrating machine learning techniques to foster sustainable educational practices and improve academic advising efficiency.
The paper has been accepted for publication in a Scopus-indexed journal.
We invite you to learn more about their research and the innovative methodologies being developed to support sustainable education.
