Applications and Implemention of Predictive Learning Analytics
Applications and Implemention of Predictive Learning Analytics
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The Common Applications of Predictive Data in Education
The Common Applications of Predictive Data in Education
Better informing student advising
Allocation of funding and resources
Identifying students who are at-risk
Adaptive Learning
Helping students and parents set realistic goals
Informing decision-making
Use Data to Build Better Schools
Use Data to Build Better Schools
Please watch the TED Talk (20 mins) about PISA.
While watching the video, think about how the data can inform decision making in the realm of education.
Then take part in the Padlet discussion to share your thoughts about PISA.
To help you understand how PISA helps in decision-making, you are encouraged to participate the sample test below.
Next watch this short video (2 mins) about CEM Data and how it can be used to generate predictive scores
CEM Data
CEM Data
Have a read here about some of the different options the CEM institute provides for students of different ages.
Let's practice! Review the slideshow below. Once you have moved through the slideshow and considered ways you could apply the student profile data consider how as an educator you could use this data to help with one of advising, goal setting, or with skill development and respond in the google form. You can observe some peer responses below. Here is some advice on how CEM data can be used
MIDYIS Activity Results Reflection
MIDYIS Activity Results Reflection
Lastly, watch this video about how schools are using predictive analytics to measure student success
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