ijier logo

An OWL-Based Ontology to Represent Interactions of Students in Educational Virtual Worlds 118 72

Authors

  • Tito Armando Rossi Filho UFRGS Author
    • Aliane Loureiro Krassmann Federal University of Rio Grande do Sul image/svg+xml Author
      • Liane Margarida Rockenbach Tarouco Federal University of Rio Grande do Sul image/svg+xml Author
        • Patricia Alejandra Behar Federal University of Rio Grande do Sul image/svg+xml Author

          DOI:

          https://doi.org/10.31686/ijier.vol5.iss7.761

          Keywords:

          virtual worlds, ontologies, student interactions

          Abstract

          While several studies in the last decade explore the potential benefits of virtual worlds in education settings, less attention has been given to the research of solutions to help overcome implementation barriers. One of the existing areas of concern is related to the difficulties on the exploitation of data obtained from educational virtual worlds. This paper proposes an OWL-based ontology to address a solution to the problem of inconsistency of databases that record information about student interactions with learning objects within these environments. The steps that have been followed for the development of the ontology are described, guided by Stanford’s 101 model. To discuss the feasibility and exemplify the ontology, an instance of an existing virtual world interaction is presented. The conclusion is that the proposed ontology can be helpful to researchers and development groups as it delivers a reusable model to gather data in a uniform way.

          Author Biographies

          • Tito Armando Rossi Filho, UFRGS

            Programa de Pós-graduação em Informática na Educação

          • Aliane Loureiro Krassmann, Federal University of Rio Grande do Sul

            Programa de Pós-graduação em Informática na Educação

          • Liane Margarida Rockenbach Tarouco, Federal University of Rio Grande do Sul

            Programa de Pós-graduação em Informática na Educação

          • Patricia Alejandra Behar, Federal University of Rio Grande do Sul

            Programa de Pós-graduação em Informática na Educação

          References

          Allison, C., Miller, A., Sturgeon, T., Nicoll, J. R., & Pereira, I. (2010, October). Educationally enhanced

          virtual worlds. In Frontiers in Education Conference (FIE), 2010 IEEE (pp. T4F-1). IEEE.

          Balderas, Antonio, et al. "Retrieving Objective Indicators from Student Logs in Virtual Worlds." Journal

          of Information Technology Research (JITR) 10.3 (2017): 69-83. DOI: https://doi.org/10.4018/JITR.2017070105

          Bille, W., Pellens, B., Kleinermann, F., De Troyer, O. (2004). Intelligent Modelling of Virtual Worlds

          Using Domain Ontologies. IVEVA, 97.

          Bernstein, P.A., Haas, L. (2008). Information integration in the enterprise. ACM 51(9), 72–79. DOI: https://doi.org/10.1145/1378727.1378745

          https://classes.soe.ucsc.edu/cmps277/Fall08/Papers/bernstein-haas-cacm08.pdf

          Bloehdorn, S., Haase, P., Huang, Z., Sure, Y., Völker, J., van Harmelen, F., Studer, R. (2009). Ontology

          Management, Semantic Knwoledge Management, Springer.

          D. L. McGuinness and F. van Harmelen. OWL web ontology language overview, June 2004.

          DCMI, Dublin Core Metadata Initiative (2012).

          http://dublincore.org/documents/2012/06/14/dcmi-terms/?v=dcmitype#InteractiveResource.

          De Troyer, O., Bille, W., Romero, R., & Stuer, P. (2003). On Generating Virtual Worlds from Domain

          Ontologies. In MMM (pp. 279-294).

          https://wise.vub.ac.be/content/generating-virtual-worlds-domain-ontologies

          Eguchi A., Thompson, C. (2011), Towards a Sematic World: Smart Objects In A Virtual World,

          International Journal of Computer Information System and Industrial Management Applications, Volume

          , pp.905-911. http://www.mirlabs.org/ijcisim/regular_papers_2011/Paper102.pdf

          Freitas, S., Rebolledo-Mendez, G. Liarokapis, F., Magoulas, G., Poulovassilis, A. (2010). Learning as

          immersive experiences: Using the four-dimensional framework for designing and evaluating immersive

          learning experiences in a virtual world. British Journal of Educational Technology. Volume 41, Issue 1,

          January 2010, Pages 69–85. http://ieeexplore.ieee.org/document/5116552/

          Gali, A., Chen, C. X., Claypool, K. T., & Uceda-Sosa, R. (2004, November). From ontology to relational DOI: https://doi.org/10.1007/978-3-540-30466-1_26

          databases. In International Conference on Conceptual Modeling (pp. 278-289). Springer Berlin

          Heidelberg.

          González, M.M.A., Santos, B.S.N., Vargas, A.R., Martín-Gutiérrez, J., Orihuela, A.R. (2013). VirtualWorlds. Opportunities and Challenges in the 21st Century.2013 International Conference on Virtual and DOI: https://doi.org/10.1016/j.procs.2013.11.039

          Augmented Reality in Education, Procedia Computer Science 25 (2013) 330 – 337. DOI: https://doi.org/10.1016/j.procs.2013.11.039

          http://www.sciencedirect.com/science/article/pii/S1877050913012441

          Gregory, S., Scutter, S., Jacka, S. L., McDonald, M., Farley, H. Newman, C. (2015). Barriers and

          Enablers to the Use of Virtual Worlds in Higher Education: An Exploration of Educator Perceptions,

          Attitudes and Experiences. Educational Technology & Society, 18 (1), 3–12.

          http://www.ifets.info/journals/18_1/2.pdf

          Muñoz-Cristóbal, J. A., Prieto, L. P., Asensio-Pérez, J. I., Martínez-Monés, A., Jorrín-Abellán, I. M.,

          Dimitriadis, Y. (2015). Coming Down to Earth: Helping Teachers Use 3D Virtual Worlds in

          Across-Spaces Learning Situations. Educational Technology Society, 18 (1), 13–26.

          http://www.ifets.info/journals/18_1/3.pdf

          Noy, N., McGuinness, D. (2001). “Ontology Development 101: A Guide to Creating Your First

          Ontology,”. Stanford University.

          http://protege.stanford.edu/publications/ontology_development/ontology101-noymcguinness.html

          Quackenbush, J. (2004). Data standards for 'omic' science. Nature Biotechnology, 22: 613–614. DOI: https://doi.org/10.1038/nbt0504-613

          https://www.ncbi.nlm.nih.gov/pubmed/15122299

          Reisoğlu, I., Topu, B., Yılmaz, R., Yılmaz, T. K., & Göktaş, Y. (2017). 3D virtual learning environments

          in education: a meta-review. Asia Pacific Education Review, 18(1), 81-100.

          https://link.springer.com/article/10.1007/s12564-016-9467-0

          Rico, M., Martinez-Muñoz, G., Alaman, X., Camacho, D., Pulido, E. (2011), A Programming Experience

          of High School Students in a Virtual World Platform. International Journal of Engineering Education Vol.

          , No. 1, pp. 1–9.

          Rodriguez, M.A., Bollen, J., Van de Sompel, H. (2007). A Practical Ontology for the Large-Scale

          Modeling of Scholarly Artifacts and their Usage. JCDL’07, June 17–22, 2007, Vancouver, British

          Columbia, Canada.

          Rudman, P., Lavelle, S.P., Salmon, G., Cashmore, A. (2010). SWIFT-ly enhancing laboratory learning:

          genetics in the virtual world. ALT-C 2010 Conference Proceedings.p.118-128.

          Shamdasani, J., Bloodsworth, P., Hauer, T., Branson, A. Odeh, M., McClatchey, R. (2011). A Criteria for

          Selecting Background Knowledge for Domain Specific Semantic Matchin,CEUR Workshop Proceedings.

          Soto, M., Allongue, S. (1997). A semantic approach of virtual worlds interoperability. In Enabling

          Technologies: Infrastructure for Collaborative Enterprises, 1997. Proceedings., Sixth IEEE Workshops on

          (pp. 173-178). IEEE.

          Tibola, L., Voss, G., Avila, B., Tarouco, L., Sgobbi, F. (2014, October). Virtual laboratory for promoting

          engagement and complex learning. In E-Learn: World Conference on E-Learning in Corporate,

          Government, Healthcare, and Higher Education (Vol. 2014, No. 1, pp. 1933-1938).

          https://www.learntechlib.org/noaccess/148840/

          Thompson, C. (2011). Next-Generation Virtual Worlds: Architecture, Status, and Directions. IEEE DOI: https://doi.org/10.1109/MIC.2011.15

          Internet Computing, Jan/Feb, pp.60-65.

          Tudorache, T., Nyulas, C., Noy, N., Musen, M. (2011). WebProtégé: A Collaborative Ontology Editor andKnowledge Acquisition Tool for the Web, Semantic Web 11-165, IOS Press.

          https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3691821/

          Yoon, T. E., George, J.F. (2013). Why aren’t organizations adopting virtual worlds? Computers in Human DOI: https://doi.org/10.1016/j.chb.2012.12.003

          Behavior, Vol. 29, Issue 3. http://www.sciencedirect.com/science/article/pii/S0747563212003329

          Wiley, D. A. (2003). Connecting learning objects to instructional design theory: A definition, a metaphor,

          and a taxonomy. Utah State University. The Edumetrics Institute.

          http://wesrac.usc.edu/wired/bldg-7_file/wiley.pdf

          Downloads

          Published

          2017-07-01

          How to Cite

          Rossi Filho, T. A., Krassmann, A. L., Tarouco, L. M. R., & Behar, P. A. (2017). An OWL-Based Ontology to Represent Interactions of Students in Educational Virtual Worlds. International Journal for Innovation Education and Research, 5(7), 49-63. https://doi.org/10.31686/ijier.vol5.iss7.761