Questionnaire data have many important uses, but is laborious for the subjects to provide. EDUFORM tries to alleviate this problem by enabling the creation of adaptive online questionnaires. The idea is to build a probabilistic model from previously gathered data, and employ it for predicting the profiles of new users on the basis of a subset of the questions in the original questionnaire. The questions presented to each individual are selected adaptively to minimize the number of answers needed. Empirical evaluations suggest that 85-90% profiling accuracy can be achieved, while the number of answers is reduced by 30-50%.