Abstract
Relying on pedagogical theories of subject matter structuring and presentation, this paper focuses on the design of a knowledge representation tool for the scheming and organization of educational materials. The idea originates from the Educational Concept Maps model - logical and abstract annotation system, developed with the aim of guaranteeing the reusability of both teaching materials and knowledge structures; in fact, the knowledge structure could be reused for design of different courses according to the learner target. A sequence of concepts characterizing the subject matter under design (lesson or entire course) define a teaching/learning path through the map. It represents the output of the design process of lesson plan, which could be imported in a text-editor, in a LCMS, or presented as web pages. The final goal is to develop a tool assisting the teacher in the daily design of lesson plans via a pliable structured model of domain knowledge.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Puff, C.R.: Memory Organization and Structure. Academic Press, New York (1979)
Neath, I., Surprenant, A.M.: Human memory: an Introduction to Research, Data, and Theory, 2nd edn. Wadsworth, Belmont (2003)
Doignon, J.P., Falmagne, J.P.: Knowledge Spaces. Springer, Berlin (1999)
Falmagne, J.C., Doignon, J.P.: Learning Spaces. Springer, Berlin (2011)
Adorni, G., Brondo, D., Vivanet, G.: A formal instructional model based on Concept Maps. J. E-Learn. Knowl. Soc. 5(3), 33–43 (2009)
Stelzer, J., Kingsley, E.: Axiomatics as a paradigm for structuring subject matter. Instr. Sci. 3(4), 383–450 (1975)
ISO/IEC Home of SC34/WG3 Informational Association. http://www.isotopicmaps.org
Murray, T.: Authoring intelligent tutoring systems: an analysis of the state of the art. Int. J. of Artif. Intell. Educ. (IJAIED) 10, 98–129 (1999)
Stankov, S., Glavinićc, V., Rosićc, M.: On knowledge representation in an intelligent tutoring system. In: Proceedings of the Fourth International Conference on Intelligent Engineering Systems (INES 2000), Portorož (Slovenia) (2000)
Pask, G.: Computer assisted learning and teaching. In: Annett, J., Duke, J. (eds.) Proceedings of Leeds Seminar on Computer Based Learning. NCET, pp. 50–63 (1970)
Rawlings, A., van Rosmalen, P., Koper, R., Rodiguez-Artacho, M., Lefrere, P.: Survey of educational modelling languages (EMLs). In: CEN/ISSS WS Learning Technologies Workshop (2002)
Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Sci. Am. 284(5), 28–37 (2001)
Martínez-Ortiz, I., Moreno-Ger, P., Sierra, J.L., Fernandez-Manjon, B.: Supporting the authoring and operationalization of educational modelling languages. J. Univ. Comput. Sci. 13(7), 938–947 (2007)
Süß, C., Freitag, B.: LMML – the learning material markup language framework. In: Proceedings of International Conference on Interactive Computer Aided learning ICL, Villach (2002)
Teege, G.: Documentation of Targeteam V 0.5.8 (2004). http://inf3-www.informatik.unibw-muenchen.de/research/projects/targeteam/targeteam-0.5.8/doc/targeteam.pdf
AICC-Aviation Industry CBT Committee - CMI Guidelines for Interoperability. Revision 3.5, Release 2 (2001). http://www.aicc.org/docs/tech/cmi001v3-5.pdf
ADL Advanced Distributed Learning - SCORM 2004 4th Edition Version 1.1 Documentation (2009). http://www.adlnet.gov/wp-content/uploads/2011/07/SCORM.2004.3ED.DocSuite.zip
Wehner, F., Lorz, A.: Developing modular and adaptable courseware using TeachML. In: Proceedings of 13th ED-MEDIA, World Conference on Educational Multimedia, Hypermedia and Telecommunications, Tampere (2001)
Félix, B., Paloma, D.: A framework for the management of digital educational contents conjugating instructional and technical issues. Educ. Technol. Soc. 6(4), 48–59 (2003)
Pecheanu, E., Stefanescu, D., Istrate, A., Dascalescu, D.: Conceptually modeling the domain knowledge for assisted learning in an IT discipline. In: Proceedings of International Conference on Computer Aided Learning in Engineering Education, Grenoble, pp. 215–220 (2004)
Mizoguchi, R., Bourdeau, J.: Using ontological engineering to overcome common AI-ED problems. Int. J. Artif. Intell. Educ. 11, 107–121 (2000)
Pahl, C., Holohan, E.: Applications of semantic web technology to support learning content development. Interdisc. J. E-Learn. Learn. Objects 5, 1–25 (2009). Dublin City University, Ireland
Devedžić, V.: Semantic Web and Education. Integrated Series in Information Systems, vol. 12. Springer, US (2006)
Stojanovic, L., Staab, S., Studer, R.: E-learning based on the Semantic Web. In: Proceedings of WebNet2001-World Conference on the WWW and Internet, Orlando (2001)
IEEE Learning Technology Standards Committee. IEEE Standard for Learning Object Metadata (2002). http://ltsc.ieee.org/wg12/
Jovanović, J., Gašević, D., Devedžić, V.: Dynamic assembly of personalized learning content on the semantic web. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 545–559. Springer, Heidelberg (2006)
Koper, R.: Modelling Units of Study from a Pedagogical Perspective: the Pedagogical Metamodel Behind EML. Open Universiteit Nederland, Heerlen (2001)
Kahn, A.B.: Topological sorting of large networks. Commun. ACM 5(11), 558–562 (1962)
Ohlsson S.: Some principles of intelligent tutoring. In: Lawler, R.W., Masoud Yazdani, M. (eds.) Artificial Intelligence and Education: Learning Environments and Tutorial Systems, vol. 1. Intellect Ltd, Chicago (1987)
Ontopia Project. http://www.ontopia.net/
Garshol, L.M., Graham, M.: Topic Maps - XML Syntax. Final Draft International Standard. http://www.isotopicmaps.org/sam/sam-xtm/
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Adorni, G., Koceva, F. (2015). Designing a Knowledge Representation Tool for Subject Matter Structuring. In: Croitoru, M., Marquis, P., Rudolph, S., Stapleton, G. (eds) Graph Structures for Knowledge Representation and Reasoning. GKR 2015. Lecture Notes in Computer Science(), vol 9501. Springer, Cham. https://doi.org/10.1007/978-3-319-28702-7_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-28702-7_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-28701-0
Online ISBN: 978-3-319-28702-7
eBook Packages: Computer ScienceComputer Science (R0)