Construction and visualization of concept prerequisite graphs for e-learning

Aytekin, Mehmet Cem (2019) Construction and visualization of concept prerequisite graphs for e-learning. [Thesis]

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The growth of internet technologies in the last decade allowed the knowledge to spread out very fast across the globe. Users began educating themselves with huge amounts of online material on the internet. Today many academic institutions o er publicly available courses where students all around the world can join and bene t from them. The abundance of online material from many di erent resources created an unorganized content in which it is likely for the learners to get lost. Furthermore, some concepts may require knowledge from other concepts and the learner may not be aware of those prerequisite relations between the concepts, therefore, she may have di culties in understanding them. In our work, we propose a methodology for calculating prerequisite scores among text-based educational material. We choose Wikipedia articles to work with since it is a large encyclopedia containing huge amounts of information on lots of di erent concepts. Furthermore, from a given set of concepts with their corresponding Wikipedia articles, we calculate each concept's prerequisite score towards other concepts and build a prerequisite concept graph for the learner. We believe that our graph model will guide the students in their studies and enhance their learning experience
Item Type: Thesis
Uncontrolled Keywords: e-learning. -- Concept maps. -- Prerequisite relations. -- Prerequisite graphs for online learning. -- Wikipedia articles. -- Machine learning in online education. -- Online eğitim. -- Kavram haritası. -- Önkoşul ilişkisi. -- Önkoşul haritaları. -- Wikipedia makaleleri. -- online eğitimde makine ğgrenmesi.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: IC-Cataloging
Date Deposited: 23 Sep 2019 15:46
Last Modified: 26 Apr 2022 10:31

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