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    Knowledge-based Career Choice Assistant

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    Date
    2013-07
    Author
    Kemboi, Kiprotich K
    Type
    Thesis
    Language
    en
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    Abstract
    In this report we will present the design and development of a proposed knowledge-based system prototype that aims to assist the students select the best suitable career choice program in Institutions of Higher Learning in Kenya. The current existing approach in Kenya is where the students get career advice through their teacher, motivators and career Counselor. The basic idea of our approach is designing an artificial intell igent system model using JESS plug ins in eclipse IDE that accept KCSE results by enabling the students to enter grades for different subjects combinations and applying the module results to a rule-based knowledge base system to determine the appropriate or suitable career for the student(s) based on the minimum requirements for particular course with the available institutions in Kenyan..The result is shown as a list of suggested career course that is most suitable with the student KCSE results. Lastly, the prototype is evaluated, a questionnaire form is prepared and issued randomly to selected group of students and they are allowed to use the system and give their feedback, this enable us to evaluated the usability, efficiency and effectiveness of the system and most students were satisfied with the various career course the system advise them to take.
    URI
    http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/52733
    Citation
    Masters of Science in Computer Science, University of Nairobi, 2013
    Publisher
    University of Nairobi
     
    College of Biological and Physical Sciences
     
    Subject
    Artificial Intelligence; Knowledge-based system; Expert System; Career Choice Assistant.
    Collections
    • Faculty of Science & Technology (FST) [4213]

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