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Social Factors Influence on Career Choices for Female Computer Science Students.

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Title: Social Factors Influence on Career Choices for Female Computer Science Students.
Authors: Malik, Sohail Iqbal1 sohail@buc.edu.om, Al-Emran, Mostafa1,2
Source: International Journal of Emerging Technologies in Learning. 2018, Vol. 13 Issue 5, p56-70. 15p. 3 Charts, 2 Graphs.
Subject Terms: *Vocational guidance, *Computer science students, *Student attitudes, *Computer science education, Social factors
Abstract: The low and shrinking numbers of female students studying computer science is a well-known problem in most of the western countries. The dominant perception about computer science field considered it as a masculine domain. In contrast, this study was performed in the IT department where female students are dominant compared to male students. The purpose of this study is to explore the influence of different factors on female students in choosing a career in the IT field. A survey was deployed to collect responses of female students in the IT department. The results show that female students are interested in computer science stream and nullify the dominant perception of computer science as a masculine domain. They want to learn technology, become an active member of the digital native world, and interested in coding literacy. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Emerging Technologies in Learning is the property of International Association of Online Engineering (IAOE) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Social Factors Influence on Career Choices for Female Computer Science Students.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Emerging+Technologies+in+Learning%22">International Journal of Emerging Technologies in Learning</searchLink>. 2018, Vol. 13 Issue 5, p56-70. 15p. 3 Charts, 2 Graphs.
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  Data: The low and shrinking numbers of female students studying computer science is a well-known problem in most of the western countries. The dominant perception about computer science field considered it as a masculine domain. In contrast, this study was performed in the IT department where female students are dominant compared to male students. The purpose of this study is to explore the influence of different factors on female students in choosing a career in the IT field. A survey was deployed to collect responses of female students in the IT department. The results show that female students are interested in computer science stream and nullify the dominant perception of computer science as a masculine domain. They want to learn technology, become an active member of the digital native world, and interested in coding literacy. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Emerging Technologies in Learning is the property of International Association of Online Engineering (IAOE) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3991/ijet.v13i05.8231
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      – Code: eng
        Text: English
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        PageCount: 15
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      – SubjectFull: Vocational guidance
        Type: general
      – SubjectFull: Computer science students
        Type: general
      – SubjectFull: Student attitudes
        Type: general
      – SubjectFull: Computer science education
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              Text: 2018
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