• Login
    View Item 
    •   KCA University Repository Home
    • Theses and Dissertations
    • Faculty of Computing and Information Management
    • View Item
    •   KCA University Repository Home
    • Theses and Dissertations
    • Faculty of Computing and Information Management
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Learner analytics dashboard for predicting students performance: A case study of technical institutions

    Thumbnail
    View/Open
    Main Article (2.917Mb)
    Downloads: 128
    Date
    2016-11-16
    Author
    Chege, Lilian Muringi
    Metadata
    Show full item record
    Abstract
    iv ABSTRACT Learning analytics is the interpretation of a wide range of data produced by and gathered on behalf of students in order to assess academic progress, predict future performance and spot potential issues.Item emphasize that institutions should undertake and understand data measurement and collection activities and focus on the analysis and reporting of the data.The information can be displayed via a dashboard which is a visual display of the most important information needed to achieve one or more objectives. Student achievement is the main agenda of any learning institution. The school administration has a responsibility to ensure students learn what they need to know depending on the course they are undertaking to prepare them for work. This requires access to a wide range of data and tools to continuously monitor student learning and performance. The need arises to manage and integrate data into a dashboard for effective decision making on matters concerning the student’s performance.Therefore, the aim of the study is to develop a learner analytics dashboard for predicting student performances: a case study of technical institutions. The objectives of the study are to:establish the current methods of predicting performance in technical institutions; determine the requirements for the dashboard system; design a learner analytics dashboard; implement the learner analytics dashboard system for use in technical institutions; test and validate the learner analytics dashboard.
    URI
    http://41.89.49.50/handle/123456789/169
    Collections
    • Faculty of Computing and Information Management [112]

    Copyright © 2020  | KCA University Library | Off-Campus Access |
    Send Feedback
     

    Browse

    All of KCA University RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Copyright © 2020  | KCA University Library | Off-Campus Access |
    Send Feedback