Using Big Data and Artificial Intelligence to Improve Academic Program Evaluation

Last updated October 15, 2023

Course Length

1h

Last Updated

October 15, 2023

Using Big Data and Artificial Intelligence to Improve Academic Program Evaluation

Last updated October 15, 2023

Improve your academic programs using a modern-day program evaluation system.

Overview

Natural language processing, artificial Intelligence, and machine learning can help universities to allocate resources, identify areas of high demand, and optimize scheduling. Join us for an interactive discussion to learn how these powerful tools, embedded in a modern program evaluation system (PES), can help you to evaluate and improve academic programs and ensure that your students receive the best education possible. 

The modern PES is becoming more powerful as it integrates these three technologies. A PES can now parse job postings, assess employer skill requirements, and analyze the skills taught in each program. It can predict program size, attrition, and margins. Academic leaders and program managers can use a modern PES to identify potential growth and cost-reduction opportunities, and to better align curriculum with job market requirements. 

Who should attend?

This training is designed for any academic leader who is currently involved in or beginning the process of program prioritization. Specifically, you may benefit from this program if you are: 

  • A Department Chair, Associate/Assistant Dean, Dean, or AVP. 
  • A faculty leader responsible for academic programs in your governance structure.