Applied AI for EdTech: Automated Reporting and Analytics in VidaNovaVLE

Fenix Alma Solutions Inc. is a Canadian EdTech company that develops VidaNovaVLE™, a purpose-built, partner-driven Virtual Learning Environment designed specifically for medical and health sciences education. The platform supports curriculum management, assessment, clinical scheduling, competency-based medical education, and accreditation reporting for leading institutions across North America. As the number of institutional partners grows, the volume and complexity of data being generated within VidaNovaVLE™ has increased significantly. Partner schools rely on dashboards and analytics to make informed decisions about curriculum delivery, learner progression, faculty performance, and accreditation compliance. Currently, much of the data aggregation and dashboarding work requires manual configuration, custom report building, and ad hoc queries. This approach is time-consuming, limits scalability, and places a heavy operational burden on both the Fenix Alma team and partner institutions. The innovation challenge is to introduce AI-driven automation to make data visualization, reporting, and dashboard generation more intelligent, efficient, and scalable. Specifically, the company seeks to leverage machine learning and natural language processing to (1) automate the generation of meaningful dashboards tailored to institutional roles and objectives, and (2) enable dynamic, conversational querying of data to support evidence-based decision-making at all levels of a medical school.This project goes beyond day-to-day operations by laying the foundation for a new AI-powered analytics layer within VidaNovaVLE™, representing a significant product evolution. Rather than manually producing static reports, the envisioned solution will proactively surface insights, reduce administrative overhead, and enable partner institutions to focus more on educational impact.

Faculty Supervisor:

Haruna Isah

Student:

Partner:

Fenix Alma Solutions Inc.

Discipline:

Computer science

Sector:

Education

University:

Sheridan College Institute of Technology and Advanced Learning

Program: