چکیده (انگلیسی):

Retrieving learning material from the internet is a tedious process that has begged for a solution to filter out
of the cluster of data and irrelevant material on the internet and deliver material that is relevant to a specific
user. The Hybrid Search and Delivery of Learning Objects (HSDLO) system, put forward in this study,
facilitates the personalized search and delivery of such learning material from the internet. The system
combines a number of mechanisms to perform this: Keyword‐based search, concept‐based search and
personalization. The keyword-and concept-based search methods are responsible for establishing the
relevance of each learning material retrieved from the web. The system presented in this study builds upon
work done in the previous iteration by additional functionality; further decoupling the subsystems to
improve modularity; perfection of the personalization subsystem; and a redesign of the user interface to a
simpler form with Web2.0 sensibilities. Additionally, the personalization subsystem is substantially
extended, allowing for a learner to have a profile active within the system during a session in which he or
she is logged in and following a search, for the profile to be adapted and stored in memory for subsequent
sessions. This functionality has been tested and successfully evaluated.
Keywords: Retrieving Learning, Hybrid Search, Delivery of Learning Objects