A Conceptual Framework to Aid Attribute Selection in Machine Learning Student Performance Prediction Models
One of the key applications of Learning Analytics is offering an opportunity to the institutions to track the students' academic activities and provide them with real-time adaptive consultations regarding the students' academic progression. However, numerous barriers exist while developing...
Saved in:
Main Authors: | Khan I., Ahmad A.R., Jabeur N., Mahdi M.N. |
---|---|
Other Authors: | 58061521900 |
Format: | Article |
Published: |
International Association of Online Engineering
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine Learning Prediction and Recommendation Framework to Support Introductory Programming Course
by: Khan I., et al.
Published: (2023) -
A Systematic Approach to Transform Machine Learning Students� Performance Prediction Model into Preventive Procedures
by: Khan I., et al.
Published: (2023) -
Selecting Machine Learning Models for Student Performance Prediction Aligned with Pedagogical Objectives
by: Khan I., et al.
Published: (2024) -
Tracking student performance in introductory programming by means of machine learning
by: Khan I., et al.
Published: (2023) -
Towards the Selection of Distance Metrics for k-NN Classifier in Students' Performance Prediction Modeling
by: Khan I., et al.
Published: (2024)