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In the e-learning environment we use adaptive assessment based on machine learning models called decision trees and decision rules. Adaptation of testing procedure relies on performance, current knowledge of test participants, on the goals of educators and on the properties of knowledge shown by participants. The paper presents sequential process of adaptive assessment where human educator or intelligent tutoring system uses different adaptive rules, based on machine learning models, to make formative assessments.