Using Machine Learning to Predict and Promote Student Success
Concurrent Session 9
Machine Learning has become ubiquitous in the technology world. Can the same technology powering search engines and shopping recommendations help instructors in the classroom? Is it ethical? We will provide an overview of the machine learning research and development process and show some real world examples of schools using machine learning algorithms to promote student success.
By the end of the presentation all attendees should:
1. Be familiar with the general principals of machine learning and its current use in technology and education.
2. Have an awareness of the process of machine learning feature selection, the ethical implications and concerns of different feature domains, and a general notion of the time and understanding required for data cleaning.
3. Have knowledge of machine learning use cases currently employed by schools, their effectiveness, and areas for their improvement and/or expansion.