Glosser: Enhanced Feedback for Student Writing Tasks

We describe Glosser, a system that supports students in writing essays by 1) scaffolding their reflection with trigger questions, and 2) using text mining techniques to provide content clues that can help answer those questions. A comparison with other computer generated feedback and scorings systems is provided to explain the novelty of the approach. We evaluate the system with Wiki pages produced by postgraduate students as part of their assessment.

• Type: Conference
• Year: 2008
• Where: ICALT
• Authors: Jorge J. Villalón, Paul Kearney, Rafael A. Calvo, Peter Reimann
• Keywords: Content Clues, ICALT 2008, Machine Learning, Text Mining Techniques, Trigger Questions