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A Web-based application for recommendation of open source software for higher learning institutions in Tanzania

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dc.creator Okey, Ambokile
dc.date 2019-05-29T11:57:52Z
dc.date 2019-05-29T11:57:52Z
dc.date 2019-02
dc.date.accessioned 2022-10-25T09:14:55Z
dc.date.available 2022-10-25T09:14:55Z
dc.identifier http://dspace.nm-aist.ac.tz/handle/123456789/254
dc.identifier.uri http://hdl.handle.net/123456789/94463
dc.description A Dissertation Submitted in Partial Fulfilment of the Requirements for the Degree of Master’s Degree in Information and Communication Science and Engineering of the Nelson Mandela African Institution of Science and Technology
dc.description Higher Learning Institutions (HLIs) perform a vital role in developing students to professionals, and in contributing to social and industrial development through research outputs and delivering professional support to different organizations. The growth of Information and Communication Technologies (ICTs) has led to the high use of software tools for supporting the roles of HLIs to deliver high-quality research and education. However, most of the Proprietary Software (PS) tools are expensive, hence hindering HLIs in Tanzania from using them for their core activities. Open Source Software (OSS) provide advantages for HLIs because they remove the cost of acquiring licenses and prevent software illegality issues. However, in Tanzania, most of HLIs do not use OSS due to lack of awareness. This study aimed at improving the adoption of OSS in Tanzanian HLIs through enhancement of individual awareness on the existing OSS designed for academic purposes using a recommender application. The application uses three recommendation approaches: content-based, demographic and collaborative filtering. Questionnaires were used for identifying currently used software in different academic areas of specializations and gathering requirements for development of a web-based application. Further, it explored useful OSS designed for academic purposes from online platforms and categorized them according to their academic area of use. The list of categorized OSS were uploaded to the application’s database and used as a foundation for recommendations. The developed application passed a test against users’ requirements as it was able to: recommend OSS, send notification through user’s email, allow view and download, and accept users’ feedbacks.
dc.format application/pdf
dc.language en_US
dc.publisher NM-AIST
dc.subject Research Subject Categories
dc.title A Web-based application for recommendation of open source software for higher learning institutions in Tanzania
dc.type Thesis


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