Towards a Vision for Learning Analytics in Open-Ended, Student-Centered Engineering Program
Start Date
1-5-2023
End Date
1-5-2023
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.
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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.