Practical Experiences for the Development of Educational Systems in the Semantic Web

  1. Sánchez Vera, María del Mar
  2. Fernández Breis, Jesualdo Tomás
  3. Serrano Sánchez, José Luis
  4. Prendes Espinosa, María Paz
Aldizkaria:
NAER: Journal of New Approaches in Educational Research

ISSN: 2254-7339

Argitalpen urtea: 2013

Alea: 2

Zenbakia: 1

Orrialdeak: 23-31

Mota: Artikulua

DOI: 10.7821/NAER.2.1.23-31 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Beste argitalpen batzuk: NAER: Journal of New Approaches in Educational Research

Garapen Iraunkorreko Helburuak

Laburpena

Semantic Web technologies have been applied in educational settings for different purposes in recent years, with the type of application being mainly defined by the way in which knowledge is represented and exploited. The basic technology for knowledge representation in Semantic Web settings is the ontology, which represents a common, shareable and reusable view of a particular application domain. Ontologies can support different activities in educational settings such as organizing course contents, classifying learning objects or assessing learning levels. Consequently, ontologies can become a very useful tool from a pedagogical perspective. This paper focuses on two different experiences where Semantic Web technologies are used in educational settings, the difference between them lying in how knowledge is obtained and represented. On the one hand, the OeLE platform uses ontologies as a support for assessment processes. Such ontologies have to be designed and implemented in semantic languages apt to be used by OeLE. On the other hand, the ENSEMBLE project pursues the development of semantic web applications by creating specific knowledge representations drawn from user needs. Our paper is consequently going to offer an in-depth analysis of the role played by ontologies, showing how they can be used in different ways drawing a comparison between model patterns and examining the ways in which they can complement each other as well as their practical implications

Erreferentzia bibliografikoak

  • Alfonseca, E., & Perez, D. (October ,2004). Automatic assessment of open ended questions with a bleu-inspired algorithm and shallow nlp. In Proceedings of Advances in Natural Language Processing, 4th International Conference, EsTAL, Alicante, Spain, pp. 25-35.
  • Amorín, R., Lama, M., Sánchez E., Riera, A., & Vila, X. A. (1995). A learning design ontology based on the IMS specification. In R. Koper, C. Tattersall, & D. Burgos (Eds.) (2005), Current State on IMS Learning Design. Proceedings of the UNFOLD/Prolearn Joint Workshop, 1, 203-225, Vlakenburg.
  • Avilés, K., Diaz-Kommonen, L., Laipainen, M., & Pietarila, J. (2003). Soft Ontologies and Similarity Cluster Tools to facilitate Exploration and Discovery of Cultural Heritage Resources. IEEE Computer Society Digital Library. Czech Republic: DEXA 2003.
  • Berners, T., & Hendler, J. (2001). Sicentific publishing on the Semantic Web. In Nature. doi:10.1038/35074206
  • Birenbaum, M., Tatsuoka, K., & Gutvirtz, Y. (1992). Effects of response format on diagnostic assessment of scholastic achievement. Applied psychological measurement, 16(4). doi:10.1177/014662169201600406
  • Bittencourt I., Costa E., Silva M., & Soares, E. (2009). A computational model for developing semantic web-based educational systems. Knowledge-Based Systems, 22(4), 302-315. doi:10.1016/j.knosys.2009.02.012
  • Bloom, B. S. (1956). Taxonomy of educational objectives: the classificaction of educational goals. Handbook I, cognitive domain. Toronto: Longman.
  • Bouquet, P., Dona, A., Serafini, L., & Zanobini, S. (2002). Contextualized local ontologies specification via CTXML. AAAI-02 workshop on Meaning Negociation, 28, 200-2.
  • Brewster, C., & O'Hara, K., (2007). Knowledge representation with ontologies: Present challenges-future possibilities. International Journal of Human-Computer Studies, 65(7), 563-688. doi:10.1016/j.ijhcs.2007.04.003
  • Corcho, O., Fernández, M., & Gómez, A. (2003). Methodologies, tools and languages for builing ontologies. Where is their meeting point?. Data and Knowledge Engineering, 46(1), 41-64. doi:10.1016/S0169-023X(02)00195-7
  • Devedzic, V. (2006). Semantic Web and Education. Springer’s Integrated Series in Information Systems. USA: Springer.
  • Devin, C. (1998). Panlingua. Retrieved from http://www.strout.net/info/science/ai/panlingua/intro.html
  • Falquet, G., & Mottaz, C. (2004). Ontology based interfaces to access a library of virtual hyperbooks. In R. Heery & L. Lyon (Eds.), ECDL, 3232, of Lecture Notes in Computer Science, pp. 99-110.
  • Fensel, D., Staab, S., Studer, R., van Harmelen, F., & Davies, J., (2003). Towards the Semantic Web. In J. Wiley & L.C. Sons. (Eds.), A Future Perspective: Exploiting Peer-to-Peer and the Semantic Web for Knowledge Management, 245-264.
  • Fernández, J., Prendes, M. P., Castellanos, D., Martínez, F., Valencia, R., & Ruíz, J. (2007). Evaluación en e-learning basada en tecnologías de la Web semántica y procesamiento del lenguaje natural. Murcia: Diego Marín.
  • Fernández-Breis, J. T., & Martínez-Béjar, R. (2002). A cooperative framework for integrating ontologies. International Journal Human-Computer Studies, 56(6), 665-667. doi:10.1006/ijhc.2002.1010
  • Friedler, S., A., & Shneiderman, B. (2008). Enabling teachers to explore grade patterns to identify individual needs and promote fairer student assessment. Computers & Education, 51(4), 1467-1485. doi:10.1016/j.compedu.2008.01.005
  • Gordijn, J., & Nijhof, W. (2002). Effects of complex feedback on computer- assisted modular instruction. Computers and Education, 39, 183-200. doi:10.1016/S0360-1315(02)00025-8
  • Gruber, T. (1993). Toward principles for the design of ontologies used for knowledge sharing. In Technical Report KSL (pp. 93-104). Stanford University: Knowledge Systems Laboratory.
  • Horridge, M. (2009). A practical guide to building OWL Ontologies Using Protegé 4 and CO-ODE Tools. Edition 1.2. University of Manchester. Retrieved from http://owl.cs.manchester.ac.uk/tutorials/protegeowltutorial/
  • Huynh, D, F., Karger, D. R., & Miller, R. C. (2008). Exhibit: Lightweight structured dada publishing. Retrieved from http://people.csail.mit.edu/dfhuynh/research/papers/www2007-%C2%AD%E2%80%90exhibit.pdf
  • Maicher, L., & Park, J. (Eds.), (2005). Charting the Topic Maps Research and Applications Landscape. Springer.
  • Martínez, A., Morris, S., Tracy, F., & Carmichael, P. (2011). Case Based Learning, Pedagogical Innovation and Semantic Web Technologies. IEEE transactions. Learning Technologies, 10(10).
  • McGrath, P. (2003). Assessing Students: Computer Simulation vs MCQs. In Proceedings of the 7th Computer Assisted Assessment Conference.
  • Mitchell, T., Aldridge, N., Williamson, W., & Broomhead, P. (2003). Computer based testing of medial knowledge. In Proceedings of the 7th Computer Assisted Assessment Conference.
  • Noy, N. F., & McGuinness, D. L. (2001). Ontology development 101: a guide to creating your first ontology. Stanford Kwnoledge System Laboratory Technical Report and Stanford Medical Informative Technical Report, SMI 2001-0880. Retrieved from http://protege.stanford.edu/publications/ontology_development/ontology101.pdf
  • Olsen, M. B. (1998). Translating english and mandarin verbs with argument structure. Tech. rep., New Mexico State University.
  • Palmer, K., & Richardson, P. (2003). On-line assessment and free-response input: a pedagogic and technical model for squaring the circle. In Proceedings of the 7th Computer Assisted Assessment Conference.
  • Stojanovic, L., Staab, S., & Studer, R. (2001). E-Learning based on the Semantic Web. In WebNET 2001. Retrieved from http://www.aifb.uni-karlsruhe.de/WBS/Publ/2001/WebNet_lstsstrst_2001.pdf
  • Tiropanis, T., Davis, H., Millard, D., WeaL, M., Wills, G., & White, S. (2009). Linked data as a Foundation for the deployment of Semantic applications in Higher Education. In SWEL09: Ontologies and social Semantic Web for Intelligent Educational Systems AIED09 Conference. Brighton, UK.
  • Tscholl, M., Tracy, F., & Carmichael, P. (2009, September). Case Methods, Pedagogical Innovation and Semantic Technologies. In 1st International Workshop on Semantic Web Applications for Learning and Teaching Support in Higher Education (SemHE'09) ECTEL'09, Nice, France. Retrieved from http://eprints.ecs.soton.ac.uk/18050/1/semhe09_submission_3.pdf
  • Van Heijst, G., Schereiber, A.T., & Wielinga, B. J. (1997). Using Explicit Ontologies in KBS Development. In International Journal of Human and Computer Studies, 47.
  • Wang, S., & Wu, P. (2008). The role of feedback and self-efficacy on web- based learning: The social cognitive perspective. Computers and Education, 51, 1589-1598.doi:10.1016/j.compedu.2008.03.004
  • Whittingdon, D., & Hunt, H. (1999). Approaches to the computerised assessment of free-text responses. In 3rd International Computer Assisted Assessment Conference.
Datuen iturria: Dialnet