eLearning assessment through textual analysis of class discussions

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

Most of the eLearning classes use discussion forums to support class interaction. This paper presents a novel approach that automatically assesses student class performance by analyzing knowledge density in online class messages. Class performance of students is evaluated from three perspectives: the quality of their course work, the quantity of their efforts, and the activeness of their participation; three measures - knowledge density, message length, and message count, are derived from class messages respectively. Together, they are used to calculate a performance indicator score. The experiment shows that there is a high correlation between the performance indicator scores and the actual grades assigned by instructors. The rank orders of students by the performance indicator score are highly correlated with those by the actual grades as well.

Original languageEnglish (US)
Title of host publicationProceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
Pages388-390
Number of pages3
DOIs
StatePublished - Dec 1 2005
Event5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 - Kaohsiung, Taiwan, Province of China
Duration: Jul 5 2005Jul 8 2005

Publication series

NameProceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
Volume2005

Other

Other5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period7/5/057/8/05

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Keywords

  • Distance Learning
  • Knowledge Density
  • Learning Assessment
  • Textual Analysis

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