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Lee, Sin Wee; Palmer-Brown, Dominic; Draganova, Chrisina (2008)
Publisher: World Scientific and Engineering Academy and Society
Languages: English
Types: Part of book or chapter of book
Subjects:

Classified by OpenAIRE into

ACM Ref: ComputingMilieux_COMPUTERSANDEDUCATION
This work develops a method for incorporation into an on-line system to provide carefully targeted guidance and feedback to students. The student answers on-line multiple choice questions on a selected topic, and their responses are sent to a Snap-Drift neural network trained with responses from a past students. Snap-drift is able to categorise the learner's responses as having a significant level of similarity with a subset of the students it has previously categorised. Each category is associated with feedback composed by the lecturer on the basis of the level of understanding and prevalent misconceptions of that category-group of students. In this way the feedback addresses the level of knowledge of the individual and guides them towards a greater understanding of particular concepts. The feedback is concept-based rather than tied to any particular question, and so the learner is encouraged to retake the same test and receives different feedback depending on their evolving state of knowledge.

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