Grounding Collaborative Knowledge Building in Semantics-Based Critiquing

  • Anders I. Mørch
  • William K. Cheung
  • Kelvin C. Wong
  • Jiming Liu
  • Cynthia Lee
  • Mason H. Lam
  • Janti P. Tang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3583)


In this paper we investigate the use of Latent Semantic Analysis (LSA), Critiquing Systems, and Knowledge Building to support computer-based teaching of English composition. We have built and tested an English Composition Critiquing System that make use of LSA to analyze student essays and compute feedback by comparing their essays with teacher’s model essays. LSA values are input to a critiquing component to provide a user interface for the students. A software agent can also use the critic feedback to coordinate a collaborative knowledge building session with multiple users (students and teachers). Shared feedback provides seed questions that can trigger discussion and extended reflection about the next phase of writing. We present the first version of a prototype we have built, and report the results from an informal experiment. We end the paper by describing our plans for future work.


Knowledge Building Latent Semantic Analysis Semantic Space Intelligent Tutor System Text Segment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Anders I. Mørch
    • 1
  • William K. Cheung
    • 2
  • Kelvin C. Wong
    • 2
  • Jiming Liu
    • 2
  • Cynthia Lee
    • 3
  • Mason H. Lam
    • 2
  • Janti P. Tang
    • 2
  1. 1.InterMediaUniversity of OsloNorway
  2. 2.Department of Computer ScienceHong Kong Baptist UniversityHong Kong
  3. 3.Language CentreHong Kong Baptist UniversityHong Kong

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