Adding tags to courses to improve evaluation: A multiplatform lcms approach that allows multidimensional analysis

Eduard Cespedes-Borras*, Aitor Rodriguez, Jordi Carrabina, Javier Serrano

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The main idea of this paper consists in adding tags to the contents available in any given course materials structured according to any Learning Content Management System (LCMS). Tags, very popular in web 2.0 applications, give a free and flexible way of characterizing materials according to any criteria that a teacher can imagine. Therefore, one can use them for any specific analysis and clustering of both teaching methodology and students learning. Our approach claims to be platform independent in the sense that can be applied on top of any current LCMS. To achieve that property, we define a XML specification that includes specific, platform dependent, queries. This choice is much more efficient than building plug-ins or hardcoded solutions for any existing learning platform (and its underlying data-base). At the end of the paper, we show the powerfulness of this approach with a course example.

Original languageAmerican English
Pages (from-to)92-97
Number of pages6
JournalCSEDU 2009 - Proceedings of the 1st International Conference on Computer Supported Education
Publication statusPublished - 21 Jul 2009

Keywords

  • Assessment analysis model
  • Authoring tool
  • Bloom's taxonomy
  • E-learning
  • Educational objectives
  • Learning design
  • LMS
  • Metadata
  • QTI
  • SCORM
  • Statistical analysis
  • Tag

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