Black Box Metadata Creation: The Academic Problem

Authors

  • Keith Maycock National College of Ireland
  • John Keating National University of Ireland, Maynooth

DOI:

https://doi.org/10.3991/ijet.v9i5.3826

Keywords:

Content Adaptation, SCORM, E-Learning

Abstract


Adaptive learning systems attempt to adapt learning content to suit the needs of the learners using the system. Most adaptive techniques, however, are constrained by the pedagogical preference of the author of the system and are always constrained to the system they were developed for and the domain content. Understanding the environmental constructs of a learning environment is critical to be able to consider adapting content to individual learners. A sample personal profile is described that can be used to automatically generate instructional content to suit the pedagogical preference and cognitive ability of a learner in real time, in an online learning environment. This paper introduces a Content Analyser (CA) that is used to automatically generate metadata to encapsulate cognitive resources within instructional content. The analyser is designed to bridge the perceived gap found within instructional repositories between inconsistent metadata created for instructional content and multiple metadata standards being used. All instructional content that is analysed is repackaged as Sharable Content Object Reference Model (SCORM) conforming content.

Author Biographies

Keith Maycock, National College of Ireland

Dr Keith Maycock is the course director of the MSc in Web Technologies within the School of Computing at the National College of Ireland.

John Keating, National University of Ireland, Maynooth

Department of Computer Science

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Published

2014-09-14

How to Cite

Maycock, K., & Keating, J. (2014). Black Box Metadata Creation: The Academic Problem. International Journal of Emerging Technologies in Learning (iJET), 9(5), pp. 60–63. https://doi.org/10.3991/ijet.v9i5.3826

Issue

Section

Short Papers