Grounding Collaborative Learning in Semantics-Based Critiquing

Autor:	Kelvin C. K. Wong, Anders I. Mørch, Mason H. Lam, Cynthia Lee, Jiming Liu, William W. L. Cheung
Rok vydání:	2007
Předmět:	Cooperative learning Multimedia Computer Networks and Communications Latent semantic analysis Computer science Collaborative learning Semantics computer.software_genre Session (web analytics) Computer Science Applications Education Software agent Knowledge building User interface computer
Zdroj:	International Journal of Distance Education Technologies. 5:40-55
ISSN:	1539-3119 1539-3100
DOI:	10.4018/jdet.2007040104
Popis:	In this article 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 makes 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 three experiments. We end the paper by describing our plans for future work.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f627109c2ef5e87b0909b98886903f2f https://doi.org/10.4018/jdet.2007040104 Zobrazit plný text záznamu