An approach to identify levels of reflection using latent semantic analysis

Kwok Shing CHENG, Juliana CHAU

Research output: Chapter in Book/Report/Conference proceedingChapters

Abstract

This paper reports and discusses on the initial stage of developing an educational tool to support Chinese undergraduate students in reflecting on their English language (L2) learning experience. By using a classification framework called A-S-E-R and Latent Semantic Analysis, we developed a digital tool to automatically classify reflective L2 learning skills into different elements and hierarchical levels. This paper begins by presenting the background and objectives of the study, followed by the details of method and results. Preliminary findings show that the tool performed satisfactorily on our testing data and the computer-generated reflection ratings were comparable to human ratings. Copyright © 2013 IEEE.
Original languageEnglish
Title of host publicationProceedings of the 2013 3rd International Conference on IT Convergence and Security, ICITCS 2013
Place of PublicationMacao
PublisherIEEE
Pages1-3
ISBN (Print)9781479928453
DOIs
Publication statusPublished - 2013

Citation

Cheng, G., & Chau, J. (2013). An approach to identify levels of reflection using latent semantic analysis. In Proceedings of the 2013 3rd International Conference on IT Convergence and Security, ICITCS 2013 (pp. 1-3). Macao: IEEE.

Keywords

  • Classification
  • EPortfolio
  • Reflective learning
  • Text mining

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