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Discoverability of OER: The Case of Language OER

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Ludic, Co-design and Tools Supporting Smart Learning Ecosystems and Smart Education

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 249))

Abstract

One of the obstacles that prevent the widespread adoption of Open Educational Resources (OER) is the difficulty to find appropriate OER for specific educational objectives. This paper investigates this discoverability problem by searching for OER in eleven well-known repositories of OER (ROER). The search for “Language Game” and “Italian Language” OER was used as a case study. The search found very few useful language OER in these ROER. Also, it revealed a number of obstacles in finding appropriate OER such as the absence of a uniform structure of ROER, the absence of a uniform OER metadata description, inaccurate, obsolete, and missing metadata descriptions of OER, obsolete OER, not really open and free educational resources, and more. Finally, the paper makes suggestions for improving both ROER and OER description.

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Authors and Affiliations

  1. SMILE Lab, University of Macedonia, 54636, Thessaloniki, Greece

    Maria Perifanou & Anastasios A. Economides

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  1. Maria Perifanou
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  2. Anastasios A. Economides
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Editors and Affiliations

  1. Department of Communication and Art/DigiMedia, University of Aveiro, Aveiro, Portugal

    Óscar Mealha

  2. Department of Computer Science, University Politehnica of Bucharest, Bucharest, Romania

    Mihai Dascalu

  3. Department of Engineering Computer Science and Mathematics, University of L’Aquila, L’Aquila, Italy

    Tania Di Mascio

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Perifanou, M., Economides, A.A. (2022). Discoverability of OER: The Case of Language OER. In: Mealha, Ó., Dascalu, M., Di Mascio, T. (eds) Ludic, Co-design and Tools Supporting Smart Learning Ecosystems and Smart Education. Smart Innovation, Systems and Technologies, vol 249. Springer, Singapore. https://doi.org/10.1007/978-981-16-3930-2_5

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