Marcel Jud
Biographic Data
| ID | 9588792 |
|---|---|
| NAME | Marcel Jud |
| GIVEN NAMES | Marcel |
| FAMILY NAME | Jud |
| SIGNATURE | JUD M |
| AFFILIATIONS | University of Graz |
| ORCID | 0009-0005-1794-0255 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
AI insights into initial teacher education
Using stacked ensemble machine learning, we aim to predict the dropout of pre-service teachers. By training the data of 2661 students, we investigate the extent to which admission test data and demographic factors predict pre-service teachers’ dropout and how the integration of student success data can improve the accuracy of these predictions. We utilise an ensemble-model approach, consisting of three base models along with a meta-model, incorpo…
No prominent works on this page.
AI insights into initial teacher education
Using stacked ensemble machine learning, we aim to predict the dropout of pre-service teachers. By training the data of 2661 students, we investigate the extent to which admission test data and demographic factors predict pre-service teachers’ dropout and how the integration of student success data can improve the accuracy of these predictions. We utilise an ensemble-model approach, consisting of three base models along with a meta-model, incorpo…
Computer Science (1 work) · Developmental psychology (1 work) · Intelligent Tutoring Systems and Adaptive Learning (1 work) · Mathematics education (1 work) · Online Learning and Analytics (1 work) · Pedagogy (1 work) · Predictive validity (1 work) · Psychology (1 work) · Reinforcement Learning in Robotics (1 work) · Student teacher (1 work)