Predictive analytics of students' academic performance can help decision makers take appropriate actions at the right moment and plan appropriate training in order to improve the student’s success rate.

1. Students’ Academic
Performance
Predictive Analytics Use Case

2. Students’ Academic Performance
Sample Application
Description ●Early prediction of students’ academic
performance as well as identifying the
factors influencing their performance can
help decision makers to provide the
needed actions at the right moment, and
plan the appropriate training in order to
improve the student’s success rate.

3. Target
Grade Class
Students’ Academic Performance
Sample Application

4. ○ Affecting factors for students’ academic performance such as
student’s educational stage, course topic, number of visited
resources, attendance.
○ Other influencing components - Nationality,Parent Responsible
for student, number of times student raises query in class,
gender etc.
Influencing
Factors
Students’ Academic Performance
Sample Application

5. Classification is the method used for classifying
numeric and/or categorical data into two or more
groups based on predefined categories.
● Higher classification accuracy (>=75%) means the
results are reliable and accurate.
● Lower classification accuracy (<75%) means the
model needs to be rebuilt using different input
parameters.
Algorithm(s)
Students’ Academic Performance
Sample Application

6. Training
dataset
Students’ Academic Performance
Sample Application

7. Testing
dataset
Students’ Academic Performance
Sample Application

8. Model Visualization
Students’ Academic Performance
Sample Application

9. Model Visualization
Students’ Academic Performance
Sample Application

10. Model Visualization
Students’ Academic Performance
Sample Application

11. Model Visualization
Students’ Academic Performance
Sample Application

12. Interpretation
Students’ Academic Performance
Sample Application

13. Interpretation
Students’ Academic Performance
Sample Application

14. Model Summary
Students’ Academic Performance
Sample Application

15. Result
● Flag containing student’s Grade category information
with ‘High’, ‘Medium’ and ‘Low’ values.
Students’ Academic Performance
Sample Application

16. Single Apply
To predict Student’s Grade class based upon selected
parameter values, APPLY functionality is used.
Students’ Academic Performance
Sample Application

17. Mass Apply
● Comparison of predicted student’s grade class and actual
quality category
Students’ Academic Performance
Sample Application

18. Mass Apply Model
Validation Summary
Students’ Academic Performance
Sample Application

19. Key Influencer’s
Analysis
Students’ Academic Performance
Sample Application

20. Simulation
Students’ Academic Performance
Sample Application

21. Students’ Academic
Performance
Predictive Analytics Use Case
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Smarten – Students’ Academic Performance Use Case - July, 2021