Using intelligent agents for the analysis of students' interaction and learning

Cat Kutay, Peter Ho

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review


Years of marking large numbers of group projects on specifications as part of a software engineering course has suggested that although the problems are ill-formed and hence the solutions various, there are some patterns in the learning process. The way students adhere to or deviate from these patterns, such as semantic rules for diagrams, or templates for the report, are a good guide to the students’ understanding of their work. We developed software to enable remote groups to work on the projects. To extend this software we have developed a number of rule-based agents that guide students by analysing their learning approach and interaction patterns.
Original languageEnglish
Title of host publicationProceeding of Artificial Intelligence in Education (AIED), Workshop on technologies for Electronic Documents for Supporting Learning
Number of pages14
Publication statusPublished - 2003
Externally publishedYes


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