Using Intelligent Feedback to Improve Sourcing and Integration in Students' Essays

Learning and reasoning from multiple documents requires students to employ the skills of sourcing (i.e., attending to and citing sources) and information integration (i.e., making connections among content from different sources). Sourcer's Apprentice Intelligent Feedback mechanism (SAIF) is a tool for providing students with automatic and immediate feedback on their use of these skills during the writing process. SAIF uses Latent Semantic Analysis (LSA), a string-matching technique and a pattern-matching algorithm to identify problems in students' essays. These problems include plagiarism, uncited quotation, lack of citations, and limited content integration. SAIF provides feedback and constructs examples to demonstrate explicit citations to help students improve their essays. In addition to describing SAIF, we also present the results of two experiments. In the first experiment, SAIF was found to detect source identification and integration problems in student essays at a c...

• Type: Journal
• Year: 2004
• Where: AIEDU
• Authors: Mary Anne Britt, Peter M. Wiemer-Hastings, Aaron A. Larson, Charles A. Perfetti
• Keywords: AIEDU 2004, Essays, Feedback, SAIF