Better Predictions, More Graduates: Data Determines Shortest Paths to Degree
Tuesday, October 15, 2019 | 1:15PM–2:15PM CT
Session Type:
Poster Session
Delivery Format:
Poster Session
Machine learning (ML) is a hot topic in education, but how is it used to drive decision-making for institutions? In this session, we'll discuss how the California Community Colleges Chancellor's Office is using machine learning technology to explore the shortest paths to Associate Degree for Transfer (ADT) program completion.
Outcomes: Better understand how machine learning technology can drive decision-making * Learn how data can help solve a demand-and-capacity planning issue between community colleges and state institutions * Be able to think critically about an institutional challenge that machine learning or data-informed decision-making might address
Outcomes: Better understand how machine learning technology can drive decision-making * Learn how data can help solve a demand-and-capacity planning issue between community colleges and state institutions * Be able to think critically about an institutional challenge that machine learning or data-informed decision-making might address