Designing Agents for Feedback Using the Documents Produced in Learning

Cat Kutay, Peter Ho

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


This article reports on research, which is based on the premise that the main aim of teaching is to provide appropriate feedback to students as they learn. Human tutors make this process easier by asking students what they are thinking
about a topic, then relate the answer to this stage or context of their learning. Hence, the first Computer Supported Learning systems were based on a tutorial question-answer format. Since then research has branched out into Learner Modelling and Intelligent Agents to support learning in more open systems. This article looks at computers emulating mentors who analyse the student's documented activities to provide feedback. The activities are analysed using a methodology that looks at the Human-Computer-Human Interface, and a pattern structure is developed, which is based on an ontology of group learning. Agents are designed and implemented using this structure to analyse synchronous and asynchronous group learning processes and to provide feedback. The ontology used in this research is based on the structure provided by Activity Theory where technology plays the role of mediator in the context of student actions.
Original languageEnglish
Title of host publicationSupporting E-Learning with Technologies for Electronic Documents
EditorsAlistair Mclean, Leila Alem
Number of pages18
Publication statusPublished - 2005
Externally publishedYes

Publication series

NameInternational Journal of Learning
PublisherCommon Ground Publishing
ISSN (Print)1447-9494


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