Planejamento instrucional adaptativo usando Workflow e planejamento genético

Abstract

The course in distance learning can be customized taking in to account the specific characteristic of each student. This means that the learning environment has adaptativity. So, in order to develop adaptative systems of distance learning, it is necessary to consider the problems: instructional planning and the student model. The first problem allows to generate a specific sequence of content for each student and the second one provides the necessary information to cope with adaptativity. Planning techniques in Artificial Intelligence have been successfully used for determining the sequence of instructional actions. The Workflow technology has been used for the management of these systems. Then, this work presents an adaptative instructional planning and a student model based on Taxonomy of Educational Objectives and learning styles.