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In adaptive e-learning systems attention is focused on adjusting the learning material to the needs of the individual student. There are differences in the properties of each individual such as differences in skills, prior knowledge, ... etc. These characteristics must be measured to display the content that is suitable to individual needs of student. There are different e-assessment models that are appropriate for discovering the prior knowledge and skills. The main objective of this research is to build an e-assessment model for Personal and Intelligent Assessment using Test (PIAT) to facilitate the evaluation process and measure the students' proficiency with more accuracy and store it in the student's profile for later use in the process of adapting content material to individual student needs. On one hand the model can help the instructors to develop the test by determining the objectives, creation and reuse of the test items. On the other hand the model can provide a personal test environment to the student. It generates the appropriate questions in an adaptive way, based on the student's model. The PIAT model is based on two theories. The first theory is Revised Bloom's Taxonomy (RBT) and the second theory is Felder-Silverman Learning Style Model (FSLSM).