Students' Academic Performance Predictive Analytics Use Case – Smarten
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The document discusses a predictive analytics use case focused on early identification of factors influencing students' academic performance to enhance success rates. Key influencing factors include educational stage, attendance, and parental involvement, while classification accuracy over 75% is deemed reliable. It outlines model visualization and validation methods to compare predicted and actual performance outcomes.
Students' Academic Performance Predictive Analytics Use Case – Smarten
- 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 For more information, contact us today. www.Smarten.com contact@Smarten.com Smarten – Students’ Academic Performance Use Case - July, 2021