Dr Giacomo Nalli


NameDr Giacomo Nalli
Job titleLecturer in Computing Science
Research institute
Primary appointmentComputer Science
Email addressG.Nalli@mdx.ac.uk
ORCIDhttps://orcid.org/0000-0002-5667-3429
Contact categoryAcademic staff

Research outputs

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

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 AG. 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

Artificial Intelligence to improve learning outcomes through online collaborative activities

Nalli, G., Amendola, D. and Smith, S. 2022. Artificial Intelligence to improve learning outcomes through online collaborative activities. Fotaris, P. and Blake, A. (ed.) 21st European Conference on e-Learning. Brighton, UK 27 - 28 Oct 2022 Academic Conferences and Publishing International (ACPI). pp. 475-479 https://doi.org/10.34190/ecel.21.1.661

Comparative analysis of clustering algorithms and moodle plugin for creation of student heterogeneous groups in online university courses

Nalli, G., Amendola, D., Perali, A. and Mostarda, L. 2021. Comparative analysis of clustering algorithms and moodle plugin for creation of student heterogeneous groups in online university courses. Applied Sciences. 11. https://doi.org/10.3390/app11135800

Online application for the early detection of students at risk of failing through Artificial Intelligence

Nalli, G., Marconi, A., Karakatič, S., Brezočnik, L., Montagna, A., Amendola, D. and De Leone, R. 2024. Online application for the early detection of students at risk of failing through Artificial Intelligence. Minerva, T. and De Santis, A. (ed.) 2023 Italian Symposium on Digital Education. Reggio Emilia, Italy 13 - 15 Sep 2023 Pearson. pp. 56-62
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