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Building User Models from Observations of Users Accessing Multimedia Learning Objects

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Adaptive Multimedia Retrieval (AMR 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3094))

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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.

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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

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  • 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

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