Grounding Collaborative Knowledge Building in Semantics-Based Critiquing

Anders Mørch (1) , William Cheung (2) , Kelvin Wong (2) , Jiming Liu (2) , Cynthia Lee (3) , Mason Lam (2) , Janti Tang (2)

1 InterMedia
2 Department of Computer Science
3 Language Centre

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.

Keywords: computer based learning environments

Domains: Technology for Human Learning

Anders Mørch, William Cheung, Kelvin Wong, Jiming Liu, Cynthia Lee, et al.. Grounding Collaborative Knowledge Building in Semantics-Based Critiquing. International Journal of Distance Education Technologies, 2007, 5(2), pp.40-55. ⟨hal-00190025⟩