A New Merging Algorithm Based on Semantic Relationships of Learning Objects
Palabras clave:
Learning Objects, Merging Algorithm, Meta-Search, Semantic RelationshipResumen
Learning Objects are key elements within e-Learning environment because describe the created educational material for students, besides, it permits the reusing and sharing in di_erent Learning Management Systems. Usually, when teachers need to create and structure educational experiences, they attend to repositories for retrieving resources fitted to their interest, for reducing the e_ort and the computational time. In this paper, a proposal is presented for merging Learning Objects from heterogeneous repositories; the model is based on semantic relationships between Learning Objects retrieved from a meta-search engine, as an alternative for locating fitted educational resources for teacher’s interest. The model exposed in the proposal has been implemented as initial prototype, which retrieves Learning Objects from open repositories. An initial study results confirm the usefulness of the model.
DOI: http://dx.doi.org/10.5377/nexo.v26i2.1286
Nexo Revista Científica Vol. 26, No. 02, pp. 69-82/Diciembre 2013
Keywords: Learning Objects, Merging Algorithm, Meta-Search, Semantic Relationship.
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URL http://reusability.org/read/chapters/wiley.doc
[2] V. H. Menéndez, M. E. Prieto, A. Zapata, Sistemas de gestión integral de objetos de aprendizaje., IEEE-RITA 5 (2) (2010) 56–62.
[3] J. Vargo, J. C. Nesbit, K. Belfer, A. Archambault, Learning object evalu- ation: Computer-mediated collaboration and inter-rater reliability, Inter- national Journal of Computers and Applications 25 (3) (2003) 198–205.
[4] T. Andrews, C. Daly, Using moodle, an open source learning management system to support a national teaching and learning collaboration, in: AAEE Conference, Yeppon, 2008.
[5] L. T. S. Committee, et al., Ieee standard for learning object metadata, IEEE Standard 1484 (1) (2002) 2007–04.
[6] S. L. Weibel, T. Koch, The dublin core metadata initiative, D-lib magazine 6 (12) (2000) 1082–9873.
[7] C. López Guzmán, F. J. García Peñalvo, Repositorios de objetos de aprendizaje: bibliotecas para compartir y reutilizar recursos en los entornos e-learning, Biblioteca Universitaria 9 (2) (2011) 9.
[8] J. Klerkx, B. Vandeputte, G. Parra, J. L. Santos, F. Van Assche, E. Du- val, How to share and reuse learning resources: the ariadne experience, in: Sustaining TEL: From Innovation to Learning and Practice, Springer, 2010, pp. 183–196.
[9] F. Paulsson, A. Naeve, Establishing technical quality criteria for Learning Objects, Media technology and graphic arts, School of computer science and communication, Royal institute of technology (KTH), 2006.
[10] J. Serrano-Guerrero, F. P. Romero, J. A. Olivas, J. de la Mata, Budi: Architecture for fuzzy search in documental repositories, Mathware & Soft Computing 16 (1) (2009) 71–85.
[11] W. Meng, C. Yu, K.-L. Liu, Building efficient and effective metasearch engines, ACM Computing Surveys (CSUR) 34 (1) (2002) 48–89.
[12] Y. Lu, W. Meng, L. Shu, C. Yu, K.-L. Liu, Evaluation of result merging strategies for metasearch engines, in: Web Information Systems Engineering–WISE 2005, Springer, 2005, pp. 53–66.
[13] D. F. Barrero, M. D. R-Moreno, O. García, A. Moreno, Searchy: A metasearch engine for heterogeneous sources in distributed environments, in: International Conference on Dublin Core and Metadata Applications, 2005, pp. pp–235.
[14] S. Ternier, K. Verbert, G. Parra, B. Vandeputte, J. Klerkx, E. Duval, V. Ordoez, X. Ochoa, The ariadne infrastructure for managing and storing metadata, Internet Computing, IEEE 13 (4) (2009) 18–25.
[15] S. Zhou, M. Xu, J. Guan, Lesson: A system for lecture notes searching and sharing over internet, Journal of Systems and Software 83 (10) (2010) 1851–1863.
[16] P. Dinis, A. R. da Silva, Application scenarios for the learning objects pool, Journal of Universal Computer Science 15 (7) (2009) 1455–1471.
[17] X. Ochoa, E. Duval, Relevance ranking metrics for learning objects, Learning Technologies, IEEE Transactions on 1 (1) (2008) 34–48.
[18] X. Ochoa, E. Duval, Use of contextualized attention metadata for ranking and recommending learning objects, in: Proceedings of the 1st international workshop on Contextualized attention metadata: collecting, managing and exploiting of rich usage information, ACM, 2006, pp. 9–16.
[19] T. K. Shih, Repository and search based on distance learning standards, in: IT in Medicine & Education, 2009. ITIME’09. IEEE International Symposium on, Vol. 1, IEEE, 2009, pp. 3–3.
[20] B. Simon, D. Massart, F. van Assche, S. Ternier, E. Duval, S. Brantner, D. Olmedilla, Z. Miklós, A simple query interface for interoperable learning repositories, in: Proceedings of the 1st Workshop on Interoperability of Web-based Educational Systems, 2005, pp. 11–18.
[21] X. Ochoa, Learnometrics: Metrics for learning objects, in: Proceedings of the 1st International Conference on Learning Analytics and Knowledge, ACM, 2011, pp. 1–8.
[22] R. K. Belew, Finding out about: a cognitive perspective on search engine technology and the WWW, Vol. 1, Cambridge University Press, 2000.
[23] V. Menendez, A. Zapata, C. Vidal, A. Segura, M. Prieto, An approach to metadata generation for learning objects, in: Knowledge Management, Information Systems, E-Learning, and Sustainability Research, Springer, 2010, pp. 190–195.
[24] J. S.-G. E. Rivas-Sanchez, V.H. Menendez-Dominguez, An approach for merging learning objects based on metadata semantic relationships, The 2nd International Conference on Technology Enhanced Learning, Quality of Teaching and Reforming Education: Learning Technologies, Quality of Education, Educational Systems, Evaluation, Pedagogies (TECH- EDUCATION 2011.
[25] V. H. E. Rivas-Sanchez, J. Serrano-Guerrero, A metasearch architecture for learning objects merging., SPDECE 1 (1) (2011) 177–180.
[26] M. E. Prieto, V. H. Menéndez, A. A. Segura, C. L. Vidal, A recommender system architecture for instructional engineering, in: Emerging Technolo- gies and Information Systems for the Knowledge Society, Springer, 2008, pp. 314–321.
[27] M. Stefaner, E. Dalla Vecchia, M. Condotta, M. Wolpers, M. Specht, S. Apelt, E. Duval, Mace-enriching architectural learning objects for experience multiplication, in: Creating New Learning Experiences on a Global Scale, Springer, 2007, pp. 322–336.
[28] M. Burns, G. P. Schell, Merlot: a repository of e-learning objects for higher education, E-service Journal 1 (2) (2002) 53–64.
[29] D. Crockford, Introducing json, Available: json.org
[30] J. J. Garrett, et al., Ajax: A new approach to web applications (2005).
[31] O. A. Initiative, et al., The open archives initiative protocol for metadata harvesting, Protocol version 2.
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2013-12-30
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