Learning Engagement Detection for e-Learning Platform
Peter Darveau
Toronto, Ontario
- 0 Collaborators
This app analyzes the facial landmarks of the student to detect the level of engagement while learning ...learn more
Project status: Under Development
oneAPI, Artificial Intelligence
Overview / Usage
e-Learning platforms focus primarily on delivering content. This API focuses on the quality of the platform to measure, track and estimate the amount of in-depth learning actually being provided to the user/student.
Methodology / Approach
The Six Sigma methodology is being used:
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Process Mapping - How to connect the user to the API (We are in this stage working with local universities doing research in this field).
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Data Collection - Tailoring the API to the user
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Data analysis focusing on vital few features using statistical functions
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Piloting
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Monitor, Document, Institutionalize/Commercialize
Technologies Used
Hi-resolution camera
API development to be partially funded privately and through applicable grants.
OneAPI gives us a means to stay current with the latest performance of emerging technologies and easily upgrade when/if needed.
[1] Darveau, P. Prognostics and Availability for Industrial Equipment Using High Performance Computing (HPC) and AI Technology. Preprints 2021, 2021090068 .
[2] Darveau, P., 1993. C programming in programmable logic controllers.
[3] Darveau, P., 2015. Wearable Air Quality Monitor. U.S. Patent Application 14/162,897.