Description

Following up on the previous episode about AI’s potential applications to higher education, this episode focuses on the work that the Computational Approaches to Human Learning research lab at UC Berkeley is doing under the direction of Dr. Zach Pardos. We talk about ways AI can assist with transfer or credit mobility, ways AI might be able to streamline the creation of degree pathways for students, and ways AI is being leveraged for adaptive tutoring, all with an overarching goal of increasing the student’s social and economic mobility.  

Key Takeaways:

• AI can be considered as anything that takes what a computer is good at and pushes the boundaries closer to doing things that only a human is good at.
• It is vital that we use AI in service of our humanistic pursuits, that it’s used in a way that retains the humanistic character of our education enterprise.  
• AI can help add desirable regularity to systems that are sometimes unnecessarily idiosyncratic.  

Host:

Doug McKenna
University Registrar, George Mason University
cmckenn@gmu.edu   

Guests:

Dr. Zachary Pardos
Associate Professor of Education, UC Berkeley
https://bse.berkeley.edu/zachary-pardos 

References and Additional Information:

Welcome to OATutor - An Open Source Adaptive Tutoring System

https://oatutor.io/ 

AI Transfer and Articulation Infrastructure Network (ATAIN)

https://atain.org/ 

A University Map of Course Knowledge