Yamna Ettarres
She
Dr. Yamna Ettarres is the Director of Academic Innovation and Technologies at eConcordia. She has a Ph.D. in Business Computing, and she developed an Intelligent Tutoring System. She authored numerous scientific articles and presented at multiple international conferences about the use and development of Artificial Intelligence AI in education. As an e-Learning and Moodle expert, she develops training and provides support to the academic team. Driven by a commitment to innovation, she works on the integration of responsible AI and the use of Learning Analytics to improve educational practices.
Sessions in which Yamna Ettarres participates
Wednesday 25 February, 2026
The project Bien-être numérique is collaboration between Le Pôle d’expertise interordres en formation à distance (FAD) and multiple higher education institutions in Quebec, including Concordia University. The project collects video testimonials from students, instructors, and educational advisors about dealing with the daily challenges they face while working in a digital environment. In this session, we will explore some of these common challenges and also share practical strategies and advi...
This session explores how to build custom Google Gemini Gems tailored to your unique needs. You will learn how to personalize an AI assistant using persona, task, context, and output-format parameters to deliver accurate, situation-aware responses. We will also compare this recent approach with earlier technologies such as the IBM Watson Assistant used to build an Activity Recommender in Moodle LMS, to highlight improvements in flexibility and ease of integration.
This session introduces the Concordia University community to NotebookLM as a collaborative tool that streamlines research and academic operations by centralizing sources, comparing documents, and extracting clear, evidence-informed insights. Using a case study on identifying recommendations and best practices for Responsible AI, participants will see how shared notebooks enhance teamwork and reduce duplication when working with complex documentation. The session also highlights essential lim...
Sessions in which Yamna Ettarres attends
Wednesday 25 February, 2026
In this session, I’ll share how I used local large language models (Llamma, Qwen, and GPT) to automatically summarize prospect interaction records. The goal was to keep data secure while making it easier to understand and analyze. I’ll show how the models were tested and refined using both AI and human feedback, and how the final process was automated with Python and Windows Task Scheduler. The results feed directly into Power BI dashboards, turning complex text data into clear, actionable in...
If you’d rather not share your data with mysterious servers in faraway places, this session might be for you. We’ll start by clarifying what “open source” means and highlighting a few open-source LLMs. You’ll learn the key differences between locally run and cloud-based models, and why those differences matter for privacy and security. Then we’ll introduce Ollama, a simple tool that makes it easy to download small language models and run them locally. We’ll wrap up with a step-by-step demo on...
