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    Computing knowledge and skills demand: A content analysis of job adverts in Botswana

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    Mbero_IJACSA_2011.pdf (407.8Kb)
    Date
    2011
    Author
    Ayalew, Y.
    Mbero, Z.A.
    Nkgau, T.Z.
    Motlogelwa, P.
    Masizana-Katongo, A.
    Publisher
    The Science and Information Organization, http://thesai.org/Publication/Default.aspx
    Link
    http://thesai.org/Downloads/Volume2No1/Paper%201-Computing%20knowledge%20and%20Skills%20Demand%20A%20Content%20Analysis%20of%20Job%20Adverts%20in%20Botswana.pdf
    Type
    Published Article
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    Abstract
    This paper presents the results of a content analysis of computing job adverts to assess the types of skills required by employers in Botswana. Through the study of job adverts for computing professionals for one year (i.e., January 2008 to December 2008), we identified the types of skills required by employers for early career positions. The job adverts were collected from 7 major newspapers (published both daily and weekly) that are circulated throughout the country. The findings of the survey have been used for the revision and development of curricula for undergraduate degree programmes at the Department of Computer Science, University of Botswana. The content analysis focused on the identification of the most sought after types of qualifications (i.e., degree types), job titles, skills, and industry certifications. Our analysis reveals that the majority of the adverts did not set a preference to a particular type of computing degree. Furthermore, our findings indicate that those job titles and computing skills which are on high demand are not consistent with previous studies carried out in the developed countries. This requires further investigation to identify reasons for these differences from the perspective of the practices in the IT industry. It also requires further investigation regarding the degree of mismatch between the employers computing skills demands and the knowledge and skills provided by academic programmes in the country.
    URI
    http://hdl.handle.net/10311/916
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    • Research articles (Dept of Computer Science) [9]

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