Student Performance Patterns in Engineering at the University of Johannesburg: An Exploratory Data Analysis-Reference-Cited by-同舟云学术

Student Performance Patterns in Engineering at the University of Johannesburg: An Exploratory Data Analysis

Author:

Maphosa Mfowabo¹^ORCID,Doorsamy Wesley²,Paul Babu S.¹

Affiliation:

1. Institute for Intelligent Systems, University of Johannesburg, Johannesburg, South Africa

2. School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference51 articles.

1. Application of machine learning in predicting performance for computer engineering students: A case study;buena no-fernández;Sustainability,2019

4. Student dropout rate in engineering education study program;paura;Engineering for Rural Development,2016

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