Prediction Model based on Continuous Data for Student Performance using Principal Component Analysis and Support Vector Machine

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Prediction Model based on Continuous Data for Student Performance using Principal Component Analysis and Support Vector Machine

Predicting student performance in higher education based on students’ self-efficacy and learning behaviour data is challenging, because the data is changing with time. The potential of using continuous data which is collected weekly needs to be investigated to identify the effectiveness in making pr...

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Bibliographic Details
Published in:	TEM Journal
Main Author:	Sabri M.Z.M.; Majid N.A.A.; Hanawi S.A.; Talib N.I.M.; Yatim A.I.A.
Format:	Article
Language:	English
Published:	UIKTEN - Association for Information Communication Technology Education and Science 2023
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161246232&doi=10.18421%2fTEM122-66&partnerID=40&md5=47db696611bce78fdf8f3522da30b699

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