Abstract
We report our work towards building user models of learner’s development based upon evidence of their interactions with an e-learning website composed of multimedia learning objects. Essentially, this involves three elements: effective metadata for each learning object; analysis of each user’s time spent with each learning object; reasoning about each individual’s knowledge of the course that is based upon a collection of learning objects. In this chapter, we focus on the problem of creating the metadata in a manner that will support effective user modelling. The chapter begins with a brief discussion of our overall architecture for building a user model and defining the metadata for multi-media learning objects. We then describe Metasaur, the interface used to create the metadata, and SIV, the visualisation interface to support users in scrutinising the reasoning about them. We also briefly describe the process used to construct an ontology automatically from an existing dictionary. Importantly, we describe an extension that enables a person to create new metadata terms and link these elegantly into the ontology. We report a qualitative study in the use of the Metasaur interface for its two roles, creation of metadata and scrutiny of the user modelling processes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bloom, B.: The 2-sigma problem: the search for methods of group instruction as effective as one-to-one tutoring. Educational Researcher 13(4-16) (1984)
WebCT (2003), Available at http://www.webct.com/
Blackboard (2003), Available at http://www.blackboard.com/
Mazza, R., Dimitrova, V.: CourseVis: Externalising Student Information to Facilitate Instructors in Distance Learning. In: Hoppe, U., Verdejo, F., Kay, J. (eds.) Artificial Intelligence in Education, pp. 279–286, IOS Press, Amsterdam (Year)
Merceron, A., Yacef, K.: A Web-based Tutoring Tool with Mining Facilities to Improve Learning and Teaching. In: Hoppe, U., Verdejo, F., Kay, J. (eds.) Artificial Intelligence in Education, pp. 201–208, IOS Press, Amsterdam (Year)
Kobsa, A., Wahlster, W. (eds.): User models in dialog systems. Springer, Berlin (1989)
Kay, J.: Learner control. User Modeling and User-Adapted Interaction 11(1-2), 111–127 (2001)
Bull, S., Pain, H.: ’Did I Say What I Think I Said, And Do You Agree With Me?’: Inspecting and Questioning the Student Model. In: Greer, J. (ed.) World Conference on Artificial Intelligence and Education, AACE, pp. 501–508 (Year)
Hunter, J.: MetaNet - A Metadata Term Thesaurus to Enable Semantic Interoperability Between Metadata Domains. Journal of Digital Information, Special Issue on Networked Knowledge Organization Systems 1(8) (2001)
Kay, J., Kummerfeld, B., Lauder, P.: Personis: a server for user models. In: DeBra, P., Brusilovsky, P., Conejo, R. (eds.) Adaptive Hypertext, pp. 203–212. Springer, Heidelberg (Year)
Thornely, J.: The How of Metadata: Metadata Creation and Standards. In: 13th National Cataloguing Conference (Year)
Kahan, J., et al.: Annotea: An Open RDF Infrastructure for Shared Web Annotations. In: WWW10 International Conference (Year)
Berners-Lee, T., Hendler, J., and Lassila, O., The Semantic Web, In Editor^Editors (eds.): Secondary Title|, Secondary Author (2001)
OWL Web Ontology Language Overview (2003), Available at http://www.w3.org/TR/owl-features/
Fensel, D.: Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce. Springer, Heidelberg (2001)
Reimer, U., et al.: Ontology-based Knowledge Management at Work: The Swiss Life Case Studies. In: Davis, J., Fensel, D., Harmelen, F.v. (eds.) Towards the Semantic Web: Ontology-driven Knowledge Management, pp. 197–218. John Wiley & Sons, West Sussex (2003)
Ecklund, P.: Visual Displays for Browsing RDF Documents. In: J. Thom and J. Kay, Editors. Australian Document Computing Symposium,101-104 (Year)
Berendonck, C.V., Jacobs, T.: Bubbleworld: A New Visual Information Retreival Technique. In: Pattison, T., Thomas, B. (eds.) Australian Symposium on Information Visualisation. Australian Computer Society, pp. 47–56 (Year)
Mutton, P., Golbeck, J.: Visualisation of Semantic Metadata and Ontologies. In: Banissi, E., et al. (eds.) Seventh International Conference on Information Visualisation, pp. 306–311. IEEE Computer Society, Los Alamitos (Year)
Usability Glossary (2002), Available at http://www.usabilityfirst.com/glossary/main.cgi
FOLDOC: The Free Online Dictionary of Computing (2001), Available at http://www.foldoc.org/
Maedche, A., Staab, S.: Mining Ontologies from Text. In: Dieng, R., Corby, O. (eds.) EKAW 2000. LNCS (LNAI), vol. 1937, Springer, Heidelberg (2000)
Murray, T.: Authoring Knowledge Based Tutors: Tools for Content, Instructional Strategy, Student Model and Interface Design. Journal of Learning Sciences 7(1), 5–64 (1998)
Mizoguchi, R.: Ontology-based systemization of functional knowledge (2001)
Uther, J.: On the Visualisation of Large User Model in Web Based Systems, PhD Thesis, University of Sydney (2001)
Apted, T., Kay, J.: Generating and Comparing Models within an Ontology. In: Thom, J., Kay, J. (eds.) Australian Document Computing Symposium, pp. 63–68. University of Sydney, Sydney (Year)
Noy, N.F., et al.: Creating Semantic Web Contents with Protege-2000. IEEE Intelligent Systems 16(2), 60–71 (2001)
Kay, J., Lum, A.: An ontologically enhanced metadata editor. In: EditorÊditors (eds.): Secondary Title|, Secondary Author, p. 7, University of Sydney, Sydney (2003)
Jannink, J., Wiederhold, G.: Thesaurus Entry Extraction from an On-line Dictionary. In: Fusion 1999 (Year)
Kogut, P., Holms, W.: AeroDAML: Applying Information Extraction to Generate DAML Annotations from Web Pages. In: First International Conference on Knowledge Capture (K-CAP 2001) Workshop on Knowledge Markup and Semantic Annotation (Year)
Dill, S., et al.: SemTag and Seeker: Bootstrapping the Semantic Web via Automated Semantic Annotation. In: Twelth International World Wide Web Conference (Year)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kay, J., Lum, A. (2004). Building User Models from Observations of Users Accessing Multimedia Learning Objects. In: Nürnberger, A., Detyniecki, M. (eds) Adaptive Multimedia Retrieval. AMR 2003. Lecture Notes in Computer Science, vol 3094. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25981-7_3
Download citation
DOI: https://doi.org/10.1007/978-3-540-25981-7_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22163-0
Online ISBN: 978-3-540-25981-7
eBook Packages: Springer Book Archive