MANAGEMENT OF EDUCATIONAL INNOVATION THROUGH AI AND AR/VR: A LOGISTIC REGRESSION ANALYSIS FOR PREDICTING DROPOUT RISK
| Article Title | MANAGEMENT OF EDUCATIONAL INNOVATION THROUGH AI AND AR/VR: A LOGISTIC REGRESSION ANALYSIS FOR PREDICTING DROPOUT RISK |
| Authors | Lecturer PhD Adrian Nicolau – Athenaeum University of Bucharest |
| Book Title | Universitatea Titu Maiorescu, the 19th international conference, education and creativity for a knowledge based society, eUniversitatea Titu Maiorescu, the 19th international conference, education and creativity for a knowledge based society, informatics proceeding book |
| Conference Title | Universitatea Titu Maiorescu, The 19th International Conference, Education and creativity for a knowledge based society |
| Editors | Informatics – Dean, Prof. Univ. Dr. Daniela JOITA and Conf. Univ. Dr. Iustin PRIESCU Daniela.joita@prof.utm.ro; iustin.priescu@prof.utm.ro |
| Pages | 98-106 |
| Publisher | Kürşat ÇAPRAZ |
| Published | First Edition, 11 June 2026, Kırklareli, Türkiye |
| Language | English |
| E-ISBN | 978-625-92035-4-6 |
| DOI | https://doi.org/10.66793/titui19proceeding15 |
| Conference Dates | 20-22 November 2025 |
| Conference Venue | “Titu Maiorescu” University, Bucharest, ROMANIA |
| Licensed By | CC BY-NC 4.0 |
| Download | Link |
| Cite As APA | Nicolau, A. (2026). Management of educational innovation through AI and AR/VR: A logistic regression analysis for predicting dropout risk. In D. Joita & I. Priescu (Eds.), Universitatea Titu Maiorescu, the 19th International Conference, Education and Creativity for a Knowledge Based Society: Informatics Proceeding Book (pp. 98–106). Kürşat ÇAPRAZ. https://doi.org/10.66793/titui19proceeding15 |