Prediction of students’ performance in e-learning environment using random forest
The need of advancement in e-learning technology causes educational data to become very huge and increase very rapidly. The data is generated daily as a result of students interaction with e-learning environment, especially learning management systems. The data contain hidden information about the p...
Saved in:
Main Author: | Yusuf, Abubakar |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/85737/1/AbuBakarYusufMFC2017.pdf http://eprints.utm.my/id/eprint/85737/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:132621 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prediction of students' performance in e-learning environment using random forest
by: Yusuf, Abubakar
Published: (2017) -
Prediction of students' performance in e-learning environment using random forest
by: Abubakar, Yusuf, et al.
Published: (2017) -
Prediction of students’ performance in e-learning environment of UTMSPACE program
by: Hussaini, Zaharaddeen
Published: (2017) -
Deep learning approach for student performance prediction in e-learning
by: Omar, Salma Hussein
Published: (2019) -
Transfer Learning for Lung Nodules Classification with CNN and Random Forest
by: Abdulrazak Yahya, Saleh, et al.
Published: (2024)