Modern Artificial Intelligence Model Development for Undergraduate Student Performance Prediction: An Investigation on Engineering Mathematics Courses

Modern Artificial Intelligence Model Development for Undergraduate Student Performance Prediction: An Investigation on Engineering Mathematics Courses

A computationally efficient artificial intelligence (AI) model called Extreme Learning Machines (ELM) is adopted to analyze patterns embedded in continuous assessment to model the weighted score (WS) and the examination (EX) score in engineering mathematics courses at an Australian regional universi...

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Bibliographic Details
Main Authors: Ravinesh C. Deo, Zaher Mundher Yaseen, Nadhir Al-Ansari, Thong Nguyen-Huy, Trevor Ashley Mcpherson Langlands, Linda Galligan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Education decision-making
extreme learning machine
student performance modelling
AI in higher education
engineering mathematics
Online Access:https://ieeexplore.ieee.org/document/9145548/

Internet

https://ieeexplore.ieee.org/document/9145548/

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