Filtering features and recommender model for messaging system of moodle FRMM
Other Title(s)
نموذج بخاصية الفرز و التوصية لنظام الرسائل في المودل
Dissertant
Thesis advisor
University
Islamic University
Faculty
Faculty of Information Technology
Department
Department of Information Technology Systems
University Country
Palestine (Gaza Strip)
Degree
Master
Degree Date
2014
English Abstract
E-learning systems are powerful way for enriching learning and teaching process.
With the spread of this culture, there is a need for Learning management system as MOODLE, aTutor , canvas and Sakai.
MOODLE allows students and instructors to interact easily and effectively in various ways, especially via private messaging system.
In order to make this feature more convenient for both students and instructors, this research proposed a model that integrated within messaging system of MOODLE to filter unwanted messages, recommend a material for students, and to help them finding answers to their questions which are founded on the message.
This new model will make it easier for students to find information and materials they are looking for, or asking about and at the same time it will keep instructors‘ mailboxes clean of any unwanted irrelevant messages.
The model applied at University of Palestine on six courses with various natural of materials , some of these materials are isolated topics ,each chapter's topic , in this type of courses the accuracy of the system was high.
On the other hand, there are some courses in which their topics are integrated with each other ; in these type of courses, the accuracy is less than the other type of materials , but in general the whole system‘s accuracy is 96.66% and the reliability of the system is 92.55%.
Finally, the model is founded to improve using message in the MOODLE, and the model actually solved the problem of this research
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
60
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Technical foundations.
Chapter Three : Related work.
Chapter Four : FIltering features and recommender model for moodle messaging system (FRMM).
Chapter Five : Experimental results and evaluation.
Chapter Six : Conclusion and future work.
References.
American Psychological Association (APA)
Ata Allah, Rasha R.. (2014). Filtering features and recommender model for messaging system of moodle FRMM. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-534670
Modern Language Association (MLA)
Ata Allah, Rasha R.. Filtering features and recommender model for messaging system of moodle FRMM. (Master's theses Theses and Dissertations Master). Islamic University. (2014).
https://search.emarefa.net/detail/BIM-534670
American Medical Association (AMA)
Ata Allah, Rasha R.. (2014). Filtering features and recommender model for messaging system of moodle FRMM. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-534670
Language
English
Data Type
Arab Theses
Record ID
BIM-534670
