Print Email Facebook Twitter Enhance the search process of educational material by automating quality assessments of OERs Title Enhance the search process of educational material by automating quality assessments of OERs Author Zarnomitrou, Georgia (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Library TU Delft) Contributor Lofi, Christoph (mentor) de Jong, Michiel (mentor) Munnik, Michiel (mentor) Specht, Marcus (mentor) Degree granting institution Delft University of Technology Programme Computer Science Date 2019-10-16 Abstract The role of educators nowadays has changed from that of sole providers of information to that of information managers. Their job requires them to sift through the vast amount of available educational material on the internet in order to find the ones that are of highest quality and are more useful for their purposes. In this thesis I propose a quality model capable of automatically assessing the quality of open educational resources and re-ordering the results of a search query based on these assessments. Specifically, in this thesis I offer my insights and findings from a literature review on the topic of quality of educational material, I present the design and implementation of the quality model I propose and show the promising findings of an initial evaluation of this model. Subject quality of educational materialOERsRe-rankingsearch engine To reference this document use: http://resolver.tudelft.nl/uuid:1c989fb1-53c8-48e6-9dc2-15bfbc815b6e Embargo date 2019-10-15 Part of collection Student theses Document type master thesis Rights © 2019 Georgia Zarnomitrou Files PDF GeorgiaZarnomitrou_Master ... 0.2019.pdf 3.03 MB Close viewer /islandora/object/uuid:1c989fb1-53c8-48e6-9dc2-15bfbc815b6e/datastream/OBJ/view