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Supporting the discoverability of open educational resources

Cortinovis, Renato Mario; Mikroyannidis, Alexander; Domingue, John; Mulholland, Paul and Farrow, Robert (2019). Supporting the discoverability of open educational resources. Education and Information Technologies, 24(5) pp. 3129–3161.

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Open Educational Resources (OERs), now available in large numbers, have a considerable potential to improve many aspects of society, yet one of the factors limiting this positive impact is the difficulty to discover them. This study investigates and proposes strategies to better support educators in discovering OERs, mainly focusing on secondary education. The literature suggests that the effectiveness of existing search systems could be improved by supporting high-level and domain-oriented tasks. Hence a preliminary taxonomy of discovery-related tasks was developed, based on the analysis of the literature, interpreted through Information Foraging Theory. This taxonomy was empirically evaluated with a few experienced educators, to preliminary identify an interesting class of Query By Examples (QBE) expansion by similarity tasks, which avoids the need to decompose natural high-level tasks in a complex sequence of sub-tasks. Following the Design Science Research methodology, three prototypes to support as well as to refine those tasks were iteratively designed, implemented, and evaluated involving an increasing number of educators in usability oriented studies. The resulting high-level and domain-oriented blended search/recommendation strategy, transparently replicates Google searches in specialized networks, and identifies similar resources with a QBE strategy. It makes use of a domain-oriented similarity metric based on shared alignments to educational frameworks, and clusters results in expandable classes of comparable degree of similarity. The summative evaluation shows that educators appreciate this exploratory-oriented strategy because – balancing similarity and diversity – it supports their high-level tasks, such as lesson planning and personalization of education.

Item Type: Journal Item
Copyright Holders: 2019 Springer Science+Business Media, LLC, part of Springer Nature
ISSN: 1360-2357
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Institute of Educational Technology (IET)
Research Group: Centre for Research in Education and Educational Technology (CREET)
Software Engineering and Design (SEAD)
Item ID: 61061
Depositing User: Renato Mario Cortinovis
Date Deposited: 09 May 2019 13:26
Last Modified: 14 Dec 2019 15:20
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