Predicting individual learning performance using machine‐learning hybridized with the teaching‐learning‐based optimization-Reference-Cited by-同舟云学术

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Predicting individual learning performance using machine‐learning hybridized with the teaching‐learning‐based optimization

Published:2022-09-29 Issue:1 Volume:31 Page:83-99
ISSN:1061-3773
Container-title:Computer Applications in Engineering Education
language:en
Short-container-title:Comp Applic In Engineering

Author:

Arashpour Mehrdad¹^ORCID,Golafshani Emad M.¹,Parthiban Rajendran¹,Lamborn Julia¹,Kashani Alireza²,Li Heng³,Farzanehfar Parisa⁴

Affiliation:

1. Faculty of Engineering Monash University Melbourne Australia

2. Faculty of Engineering University of New South Wales Sydney Australia

3. Department of Building and Real Estate Hong Kong Polytechnic University Hong Kong Hong Kong

4. Department of Medicine Florey Institute of Neuroscience and Mental Health Parkville Australia

Funder

Monash University

Publisher

Wiley

Subject

General Engineering,Education,General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cae.22572

Reference38 articles.

1. Computer vision for anatomical analysis of equipment in civil infrastructure projects: Theorizing the development of regression-based deep neural networks

2. M.Arashpour J.Lamborn andP.Farzanehfar Optimising collaborative learning and group work amongst tertiary students. In: Ozevin D ed. 10th Internat. Struct. Eng. Constr. Conf. ISEC ISEC Press Chicago IL USA 2019.

3. Group Dynamics in Higher Education

4. Scene understanding in construction and buildings using image processing methods: A comprehensive review and a case study

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