Measuring the quality of online learning material using semantic similarity measures
Other Title(s)
قياس جودة مواد التعليم الإلكتروني باستخدام مقاييس دلالات التشابه
Dissertant
Thesis advisor
Comitee Members
al-Sawadi, Hamzah Abbas
al-Jawarinah, Shadi A.
University
Middle East University
Faculty
Faculty of Information Technology
Department
Computer Science Department
University Country
Jordan
Degree
Master
Degree Date
2017
English Abstract
Deciding the quality of the online learning material is an important factor and aspect in choosing which material to study by the stakeholder since it ensures a good learner experience.
One approach is to make sure that the content of the learning material covers their Intended Learning Outcomes (ILOs).
Many educational institutes are creating or adapting quality assurance tools such as standards and criteria regarding their learning material. This research utilizes semantic similarity measures and ontology to define the quality of the learning material by calculating the coverage percentage of the ILOs in the learning material and deciding which measure gave the best coverage percentage of the ILOs in the learning material.
Online learning material and their ILOs were collected from well-known educational institutes with a good reputation and due to their interest in developing online courses as a primary learning method.
Three subjects were collected; E-commerce, Software engineering and Networks those particular courses were selected due to them being available in text format.
KAON (Karlsruhe Ontology and Semantic Web infrastructure) was utilized to extract the concepts from the data.
As this research is based on experiments three cutting points were chosen 70%,80% and 90%.
Semantic similarity measures are used to calculate the similarity among concepts.
Eight semantic similarity measures were selected to cover all semantic measures families.
The measures were applied using WS4J (word similarity for java) tool to calculate semantic matching between the ILOs and the learning material concepts.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
93
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Research methodology.
Chapter Four : Experimentation and evaluation.
Chapter Five : Conclusions and future work.
References.
American Psychological Association (APA)
al-Uraini, Iman Nawwaf. (2017). Measuring the quality of online learning material using semantic similarity measures. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-762681
Modern Language Association (MLA)
al-Uraini, Iman Nawwaf. Measuring the quality of online learning material using semantic similarity measures. (Master's theses Theses and Dissertations Master). Middle East University. (2017).
https://search.emarefa.net/detail/BIM-762681
American Medical Association (AMA)
al-Uraini, Iman Nawwaf. (2017). Measuring the quality of online learning material using semantic similarity measures. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-762681
Language
English
Data Type
Arab Theses
Record ID
BIM-762681
