Sameh. Azouzi

Work place: ISITCOM Hammam Sousse, University of Sousse, Sousse, Tunisia



Research Interests: E-learning, Machine Learning


Sameh Azouzi obtained her Ph.D in Computer Science from the university of Sousse, Tunisia in 2020.  She is a member of the RIADI research laboratory at the University of Manouba in Tunisia. Her research area includes adaptive e-learning, business process management, Cloud Computing, machine learning and Big Data analytic.

Author Articles
Collaborative E-Learning Process Discovery in Multi-tenant Cloud

By Sameh. Azouzi Jalel eddine. Hajlaoui Zaki. Brahmi Sonia. Ayachi Ghannouchi

DOI:, Pub. Date: 8 Apr. 2021

With the appearance of the COVID-19 pandemic, the practice of e-learning in the cloud makes it possible to: avoid the problem of overloading the institutions infrastructure resources, manage a large number of learners and improve collaboration and synchronous learning. In this paper, we propose a new e-leaning process management approach in cloud named CLP-in-Cloud (for Collaborative Learning Process in Cloud). CLP-in-Cloud is composed of two steps: i) design general, configurable and multi-tenant e-Learning Process as a Service (LPaaS) that meets different needs of institutions. ii) to fulfill the user needs, developpe a functional and non-functional awareness LPaaS discovery module. For functional needs, we adopt the algorithm A* and for non-functional needs we adopt a linear programming algorithm. Our developed system allows learners to discover and search their preferred configurable learning process in a multi-tenancy Cloud architecture. In order to help to discover interesting process, we come up with a recommendation module. Experimentations proved that our system is effective in reducing the execution time and in finding appropriate results for the user request.

[...] Read more.
Other Articles