Email: G.Nalli @ mdx.ac.uk
Office: T120 Town Hall Building, Hendon Campus
About
- Lecturer
- Module Leader:
Research Interests
- AI & ML in Education
Publications Repository
Blockchain in e-learning platform to enhance trustworthy and sharing of micro-credentials
Bigiotti, A., Bottoni, M. and Nalli, G. 2024. Blockchain in e-learning platform to enhance trustworthy and sharing of micro-credentials. 36th International Conference on Advanced Information Systems Engineering Workshops. Limassol, Cyprus 03 - 07 Jun 2024 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-031-61003-5_1
Application of machine learning to the learning analytics of the Moodle platform to create heterogeneous groups in on-line courses
Nalli, G., Mostarda, L., Perali, A., Pilati, S. and Amendola, A. 2019. Application of machine learning to the learning analytics of the Moodle platform to create heterogeneous groups in on-line courses. Italian Journal of Educational Research. p. 156–173.
Il Blended Learning per migliorare l’efficacia della didattica universitaria: il corso di Computer Ethics
Amendola, D., Nalli, G. and De Vivo, M. 2017. Il Blended Learning per migliorare l’efficacia della didattica universitaria: il corso di Computer Ethics. EMEMITALIA 2017. Bolzano, Italy 30 Aug - 01 Sep 2017 Genova University Press.
Tool per la classificazione dei sentimenti degli studenti Implicati in moduli didattici universitari in modalità e-learning
Nalli, G., Amendola, D., Schettini, C. and Galassi, R. 2019. Tool per la classificazione dei sentimenti degli studenti Implicati in moduli didattici universitari in modalità e-learning. MoodleMoot Italia 2019. Verona, Italy 05 - 07 Dec 2019 MediaTouch 2000. pp. 29-32
Chatbot per Moodle: un assistente virtuale per i corsi universitari ad alto numero di studenti
Nalli, G. and Amendola, D. 2020. Chatbot per Moodle: un assistente virtuale per i corsi universitari ad alto numero di studenti. MoodleMoot Italia 2020. Online 26 - 28 Nov 2020 MediaTouch 2000. pp. 64-67
Online tutoring system for programming courses to improve exam pass rate
Nalli, G., Culmone, R., Perali, A. and Amendola, D. 2023. Online tutoring system for programming courses to improve exam pass rate. Journal of E-Learning and Knowledge Society. 19 (1), pp. 27-35. https://doi.org/10.20368/1971-8829/1135704
Machine Learning model for student drop-out prediction based on student engagement
Brezočnik, L., Nalli, G., De Leone, R., Val, S., Podgorelec, V. and Karakatič, S. 2023. Machine Learning model for student drop-out prediction based on student engagement. Karabegovic, I., Kovačević, A. and Mandzuka, S. (ed.) 9th International Conference on New Technologies, Development and Application. Sarajevo, Bosnia and Herzegovina 22 - 24 Jun 2023 Cham Springer. pp. 486–496 https://doi.org/10.1007/978-3-031-31066-9_54
Hybrid educational environments – using IoT to detect emotion changes during student interactions
Nalli, G., Dafoulas, G., Tsiakara, A., Langari, B., Mistry, K. and Tahmasebi Aria, F. 2023. Hybrid educational environments – using IoT to detect emotion changes during student interactions. Interaction Design and Architecture(s). 58 (1), pp. 39-52. https://doi.org/10.55612/s-5002-058-001
Comparison of the effectiveness and performance of student workgroups in online wiki activities with and without AI
Nalli, G. and Smith, S. 2023. Comparison of the effectiveness and performance of student workgroups in online wiki activities with and without AI. 4th International Electronic Conference on Applied Sciences. Online 27 Oct - 10 Nov 2023 MDPI. https://doi.org/10.3390/ASEC2023-16273
Machine-learning-based software to group heterogeneous students for online peer assessment activities
Amendola, D., Nalli, G. and Miceli, C. 2023. Machine-learning-based software to group heterogeneous students for online peer assessment activities. Fulantelli, G., Burgos, D., Casalino, G., Cimitile, M., Lo Bosco, G. and Taibi, D. (ed.) 4th International Conference on Higher Education Learning Methodologies and Technologies Online. Palermo, Italy 21 - 23 Sep 2022 Cham Springer. https://doi.org/10.1007/978-3-031-29800-4_2