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Friday, November 9 • 10:30am - 11:30am
Lessons learned on using Machine Learning to predict student outcomes.

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Machine Learning is a type of artificial intelligence that allows computers to continually identify patterns in data even when the data patterns change over time.
What if you could machine learning to identify patterns in student behavior and predict if a student was going to fail a course?

This presentation outlines Idaho Digital Learning's work on trying to answer that question and covers the processes used, the outcomes of the data, the learnings related to what data is important to the classroom.

The session will conclude with an evaluation of Cloud-based Machine learning options and how Cloud-based machine has changed the way Idaho Digital Learning approaches future projects.

Speakers
avatar for Ryan Gravette

Ryan Gravette

Director of Technology, Idaho Digital Learning Alliance
Over the past 19 years, Ryan Gravette has focused on using Edtech to tear down the barriers to great teaching and learning. He has worked as a school technology specialist, data integration specialist, and technology director. He currently serves as the Technology Director for Idaho... Read More →



Friday November 9, 2018 10:30am - 11:30am MST
Tamarack

Attendees (6)