Repository logo
Communities & Collections
All of DSpace
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Oboko, O. Robert"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Item
    A cross platform algorithm for learning management systems
    (KIBU, 2018-06-12) Mabonga, Hesbourne; Oboko, O. Robert
    Technological ubiquity has proliferated in our midst to the extend it is part of our daily lives; academics not exempted. The needs for connectivity, convergence of technological infrastructure and cross platform interoperability have necessitated the development of cross platform algorithms to aggregate information and manage tasks in our environments. This algorithm examined the design features of two learning management systems Claroline and ATutor; designed, developed, implemented, and evaluated the functionality of a cross platform algorithm in those two learning environments. The successful evaluation of the functionality of the algorithm was of immense benefit to e-commerce platforms. The development approach was agile with strict adherence to extreme programming software development life cycle. The study environment were the two learning management systems configured at Kibabii University, in such a way that a team of Information Technology students utilized the cross platform algorithm enhanced Claroline while the Computer Science team worked with the plain ATutor platform. Questionnaires were distributed to both groups of students to evaluate and ascertain the system’s functionality. 72.8% of the respondent’s returned a positive rating. In conclusion the system worked well with the need to incorporate more features from the two LMSs, such as notifications from chats and forums on topical issues trending and are of interest to the user according to his/her defined profile. It is our recommendation that the functionality be extrapolated into the mobile bound applications such as WhatsApp, since the environment today is moving towards the mobile environment.

DSpace software copyright © 2002-2026 LYRASIS

  • Privacy policy
  • End User Agreement
  • Send Feedback