Measuring the quality of online learning material using semantic similarity measures
العناوين الأخرى
قياس جودة مواد التعليم الإلكتروني باستخدام مقاييس دلالات التشابه
مقدم أطروحة جامعية
مشرف أطروحة جامعية
أعضاء اللجنة
al-Sawadi, Hamzah Abbas
al-Jawarinah, Shadi A.
الجامعة
جامعة الشرق الأوسط
الكلية
كلية تكنولوجيا المعلومات
القسم الأكاديمي
قسم علم الحاسوب
دولة الجامعة
الأردن
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2017
الملخص الإنجليزي
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.
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
عدد الصفحات
93
قائمة المحتويات
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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-762681
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر