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