Implementation of an Adaptive Questionnaire
نویسندگان
چکیده
An adaptive on-line questionnaire, named EDUFORM, is based on Bayesian statistical techniques that both optimize the number of propositions presented to each respondent and create an individual learner profile. Adaptive graphical user interface is generated partially (propositions of the questionnaire, collaborative actions and links to resources) and computational part totally with Bayesian computational techniques. The preliminary results show that after reducing dramatically the number of propositions (from 64% to 54%) we may still moderately control the error ratio (from 12% to 22 %). The profiling information of respondent is in most cases obtained after asking just one third of propositions.
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