Towards a Vision for Learning Analytics in Open-Ended, Student-Centered Engineering Program

Loading...

Media is loading
 

Start Date

5-1-2023 2:30 PM

End Date

5-1-2023 3:20 PM

Description

Predictive analytics is becoming increasingly popular in educational institutions, but many of these tools are designed to reduce learning to a few key features that are important in predicting student success. This reduction process becomes increasingly difficult in open-ended educational experiences where there are many possible pathways to success. This presentation will present a framework for learning analytics that is designed to embrace the complexities of learning rather than reducing them. The MNSU Iron Range Engineering program will be used as an example case.

This document is currently not available here.

Share

COinS
 
Jan 5th, 2:30 PM Jan 5th, 3:20 PM

Towards a Vision for Learning Analytics in Open-Ended, Student-Centered Engineering Program

Predictive analytics is becoming increasingly popular in educational institutions, but many of these tools are designed to reduce learning to a few key features that are important in predicting student success. This reduction process becomes increasingly difficult in open-ended educational experiences where there are many possible pathways to success. This presentation will present a framework for learning analytics that is designed to embrace the complexities of learning rather than reducing them. The MNSU Iron Range Engineering program will be used as an example case.