Thesis supervisor: Beatrix Séllei
Location of studies (in Hungarian): BME Department of Ergonomics and Psychology Abbreviation of location of studies: BME
Description of the research topic:
The research topic aims to investigate the effects of positive psychological characteristics behind successful performance and risk factors of students’ drop-out. The primary area of research is the examination of predictions using machine learning methodology to filter out human attributes that influence performance. This kind of modeling of success enables optimal organizational human resource planning and development. The research area combines the humanities results with the data sciences field.
Séllei B, Stumphauser N, Molontay R. Traits versus Grades—The Incremental Predictive Power of Positive Psychological Factors over Pre-Enrollment Achievement Measures on Academic Performance. Applied Sciences. 2021; 11(4):1744. https://doi.org/10.3390/app11041744
Required language skills: English Number of students who can be accepted: 1
Deadline for application: 2024-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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