ATTITUDE TREATMENT TRAINING BY ADAPTIVE INSTRUCTION (A.T.T.A.IN)
O.I. Kosmidou, D. Makri · 2002
A.T.T.A.I.N is a research project proposing certain guidelines and principles that outline the design of a flexible interactive and adaptive learning environment. Flexibility, interactivity and adaptivity are three of the many crucial properties that define the right learning environment. So far A.T.T.A.I.N focuses on this three properties aiming to test their applicability. Later on, A.T.T.A.I.N will examine more of the properties that define optimum relations in an ideal learning environment. Therefore, A.T.T.A.I.N has to simulate learner's ability diagnosis procedure. As it is known, learner's ability to adapt the interaction to the situation at hand is strongly connected either to their behavior in the educational environment (learning style) or to their learning type. It is also known that learner's type is strongly connected to learner's cognitive control and style. Looking at the diagnosis of problem solving behavior that describes learning style, K.de Koning at al, introduce a sophisticated direct answer to this extremely difficult issue of artificial intelligence in education. DeKoning's method allows the flexibility of the educational environment in terms of learner's behavior to the purpose of adaptation. The learner's ability diagnosis, we are dealing with, can be considered as a technique that classifies learners into certain groups. This technique allows the flexibility of the educational environment in terms of learner's ability . Learner's classification in terms of their ability to accept the learning material is allowed by a sequence of diagnostic tests having as output a final mark. Therefore, it would be of great importance to introduce the learner's ability scale. In order to do so, we consider the Kolb's classification. Using learner's ability diagnosis results, A.T.T.A.I.N introduces a non-hierarchical learning flow, which is a dynamically adjustable learning flow. To this end a robust large scale system has been established, which governs the system and composes the foundation of the A.T.T.A.I.N architecture and a three agent system ensures the systems functionality.