A PREDICTED APPROACH TOWARDS WOMEN IN ENGINEERING EDUCATION/PROFESSION USING MACHINE LEARNING TECHNIQUES

Women have contributed to the diverse fields of engineering in modern and historical times. Women are often under-represented in the fields of engineering, both in academia and in the profession of engineering. A number of organizations and programs have been created to understand and overcome this...

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Autores principales:	Tahira Mahboob, Sabheen Gull, Zahra Saleem
Formato:	article
Lenguaje:	EN
Publicado:	International Islamic University Islamabad 2016
Materias:	Theory and practice of education LB5-3640
Acceso en línea:	https://doaj.org/article/628ba6d83eef45439fc80d12c0cc4a52
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spelling	oai:doaj.org-article:628ba6d83eef45439fc80d12c0cc4a522021-12-03T06:28:19ZA PREDICTED APPROACH TOWARDS WOMEN IN ENGINEERING EDUCATION/PROFESSION USING MACHINE LEARNING TECHNIQUES2520-71562520-716410.36261/ijdeel.v1i2.328https://doaj.org/article/628ba6d83eef45439fc80d12c0cc4a522016-06-01T00:00:00Zhttp://irigs.iiu.edu.pk:64447/ojs/index.php/IJDEEL/article/view/328https://doaj.org/toc/2520-7156https://doaj.org/toc/2520-7164Women have contributed to the diverse fields of engineering in modern and historical times. Women are often under-represented in the fields of engineering, both in academia and in the profession of engineering. A number of organizations and programs have been created to understand and overcome this tradition of gender disparity. In this paper we have applied a machine learning approach for the prediction of women in engineering in the coming future in Pakistan. We have identified several factors which influence the decision of women while selecting engineering as a profession.Tahira MahboobSabheen GullZahra SaleemInternational Islamic University IslamabadarticleTheory and practice of educationLB5-3640ENInternational Journal of Distance Education and E-Learning , Vol 1, Iss 2 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Theory and practice of education LB5-3640
spellingShingle	Theory and practice of education LB5-3640 Tahira Mahboob Sabheen Gull Zahra Saleem A PREDICTED APPROACH TOWARDS WOMEN IN ENGINEERING EDUCATION/PROFESSION USING MACHINE LEARNING TECHNIQUES
description	Women have contributed to the diverse fields of engineering in modern and historical times. Women are often under-represented in the fields of engineering, both in academia and in the profession of engineering. A number of organizations and programs have been created to understand and overcome this tradition of gender disparity. In this paper we have applied a machine learning approach for the prediction of women in engineering in the coming future in Pakistan. We have identified several factors which influence the decision of women while selecting engineering as a profession.
format	article
author	Tahira Mahboob Sabheen Gull Zahra Saleem
author_facet	Tahira Mahboob Sabheen Gull Zahra Saleem
author_sort	Tahira Mahboob
title	A PREDICTED APPROACH TOWARDS WOMEN IN ENGINEERING EDUCATION/PROFESSION USING MACHINE LEARNING TECHNIQUES
title_short	A PREDICTED APPROACH TOWARDS WOMEN IN ENGINEERING EDUCATION/PROFESSION USING MACHINE LEARNING TECHNIQUES
title_full	A PREDICTED APPROACH TOWARDS WOMEN IN ENGINEERING EDUCATION/PROFESSION USING MACHINE LEARNING TECHNIQUES
title_fullStr	A PREDICTED APPROACH TOWARDS WOMEN IN ENGINEERING EDUCATION/PROFESSION USING MACHINE LEARNING TECHNIQUES
title_full_unstemmed	A PREDICTED APPROACH TOWARDS WOMEN IN ENGINEERING EDUCATION/PROFESSION USING MACHINE LEARNING TECHNIQUES
title_sort	predicted approach towards women in engineering education/profession using machine learning techniques
publisher	International Islamic University Islamabad
publishDate	2016
url	https://doaj.org/article/628ba6d83eef45439fc80d12c0cc4a52
work_keys_str_mv	AT tahiramahboob apredictedapproachtowardswomeninengineeringeducationprofessionusingmachinelearningtechniques AT sabheengull apredictedapproachtowardswomeninengineeringeducationprofessionusingmachinelearningtechniques AT zahrasaleem apredictedapproachtowardswomeninengineeringeducationprofessionusingmachinelearningtechniques AT tahiramahboob predictedapproachtowardswomeninengineeringeducationprofessionusingmachinelearningtechniques AT sabheengull predictedapproachtowardswomeninengineeringeducationprofessionusingmachinelearningtechniques AT zahrasaleem predictedapproachtowardswomeninengineeringeducationprofessionusingmachinelearningtechniques
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A PREDICTED APPROACH TOWARDS WOMEN IN ENGINEERING EDUCATION/PROFESSION USING MACHINE LEARNING TECHNIQUES

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