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Knowledge Graph-Based Teacher Support for Learning Material Authoring

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Advances in Computing (CCC 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 885))

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Abstract

Preparing high-quality learning material is a time-intensive, yet crucial task for teachers of all educational levels. In this paper, we present SoLeMiO, a tool to recommend and integrate learning material in popular authoring software. As teachers create their learning material, SoLeMiO identifies the concepts they want to address. In order to identify relevant concepts in a reliable, automatic and unambiguous way, we employ state of the art concept recognition and entity linking tools. From the recognized concepts, we build a semantic representation by exploiting additional information from Open Knowledge Graphs through expansion and filtering strategies. These concepts and the semantic representation of the learning material support the authoring process in two ways. First, teachers will be recommended related, heterogeneous resources from an open corpus, including digital libraries, domain-specific knowledge bases, and MOOC platforms. Second, concepts are proposed for semi-automatic tagging of the newly authored learning resource, fostering its reuse in different e-learning contexts. Our approach currently supports resources in English, French, and Spanish. An evaluation of concept identification in lecture video transcripts and a user study based on the quality of tag and resource recommendations yielded promising results concerning the feasibility of our technique.

This work was partially supported by COLCIENCIAS PhD scholarship (Call 647-2014).

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Notes

  1. 1.

    https://www.geogebra.org.

  2. 2.

    https://www.w3.org/TR/sparql11-property-paths/.

  3. 3.

    http://dbpedia.org/page/Assignment_(computer_science).

  4. 4.

    https://proquest.safaribooksonline.com.

  5. 5.

    http://www.dbpedia-spotlight.org/.

  6. 6.

    http://babelfy.org/.

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Author information

Authors and Affiliations

  1. University of Luxembourg, Esch-sur-Alzette, Luxembourg

    Christian Grévisse & Steffen Rothkugel

  2. Systems and Computing Engineering Department, School of Engineering, Universidad de los Andes, Bogotá, Colombia

    Rubén Manrique & Olga Mariño

Authors
  1. Christian Grévisse
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  2. Rubén Manrique
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  3. Olga Mariño
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  4. Steffen Rothkugel
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Corresponding author

Correspondence to Christian Grévisse .

Editor information

Editors and Affiliations

  1. Universidad Tecnológica de Bolívar, Cartagena, Colombia

    Jairo E. Serrano C.

  2. Universidad Tecnológica de Bolívar, Cartagena, Colombia

    Juan Carlos Martínez-Santos

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Grévisse, C., Manrique, R., Mariño, O., Rothkugel, S. (2018). Knowledge Graph-Based Teacher Support for Learning Material Authoring. In: Serrano C., J., Martínez-Santos, J. (eds) Advances in Computing. CCC 2018. Communications in Computer and Information Science, vol 885. Springer, Cham. https://doi.org/10.1007/978-3-319-98998-3_14

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  • DOI: https://doi.org/10.1007/978-3-319-98998-3_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98997-6

  • Online ISBN: 978-3-319-98998-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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