• Login
    • Login
    Advanced Search
    View Item 
    •   UoN Digital Repository Home
    • Theses and Dissertations
    • Faculty of Science & Technology (FST)
    • View Item
    •   UoN Digital Repository Home
    • Theses and Dissertations
    • Faculty of Science & Technology (FST)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A framework for evaluating mobile learning (M-Learning)

    Thumbnail
    View/Open
    Full text (2.126Mb)
    Date
    2012
    Author
    Mutua, Jesse N
    Type
    Thesis
    Language
    en
    Metadata
    Show full item record

    Abstract
    Mobile learning (m-learning) is a methodology of supporting learning which is spontaneous, anywhere-anytime learning through the use of mobile technology. With the ubiquity of mobile phones and the broad availability of advanced features similar to pes, there is sufficiently large basis for development of education-rich applications. M-learning projects are pre-dominantly being carried out in the developed countries. The designers of current mobile technologies do not necessarily consider the conditions of developing countries when designing and so their products are not always applicable in the developing world. Therefore, the evaluation frameworks used in developed countries are not applicable in developing countries. Using survey and case study methodology, this research developed and tested a Mobile Learning Impact Measurement Framework (MLIMF) to address the problem. Using standards from training and development community, the researcher developed dimensions to evaluate mlearning. The dimensions were then applied to a sample of thirty eight (38) participants who have sued or are using m-learning systems. This was in order to assess the feasibility of the framework and the dimensions in evaluating m-learning. To develop the MLIMF, three hypotheses were tested. The data available for this study was limited to a sample of thirty eight (38) participants and two m-learning systems allowing only a broad analysis. However, the research undertaken proved the value of the framework as a tool for research and confirmed the validity of the framework design. Analysis of the results indicates that learner and environmental characteristics impact on the success of m-learning. The results have indicated that learner attitudes, motivations, experience, existing knowledge and skills and performance are significant to the success of m-learning systems. We also established that the application characteristics including content adaptability, cost, reliability and relevance of the materials are important aspects to consider. The framework aims at guiding policy in development of applications that can enable learners in developing countries obtain access to and use learning, through the use of mobile phones. It provides a competency set of novel guidelines to be followed when developing mobile learning systems and also to evaluate existing m-learning environments, products and services.
    URI
    http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/20534
    Publisher
    School of Computing and Informatics
    Subject
    Mobile Learning
    Collections
    • Faculty of Science & Technology (FST) [4213]

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback

     

     

    Useful Links
    UON HomeLibrary HomeKLISC

    Browse

    All of UoN Digital RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback