On Methods Of Transfer As A Learning In The Adaptive Learning System

This paper studies learning transfer based on the adaptive learning theory, intelligence cognitive model theory and knowledge input theory under the large framework of updated cognitive theory of psychology. It mainly focuses on the method and experiment of positive transfer in production system self-adaptability model with the help of updated Artifical Neural Networks communication technology. These methods can help provide students with strategies in coping with their learning so that they could become self-directed learners through the guilded adaptive learning and intelligence teaching. This paper is original in the following points: 1. It raises and explains the model through the experiment for the adaptability of it. The experiment result indicates that the method under study could well reflect the academic and cognitive level of the students and thus establish its position as an available model for error diagnostics. 2. It explains how to diagnose errors through the model so that it could lead to the positive transfer to satisfy the need of adaptive learnig. 3. It raises and explains the method of production system self-adaptability transfer model, and thus increases the speed of rule requiry and rule match, the result of which is based on the theory of the production system rule of the relation data base storage domain type. 4. It raises and explains the method of manual neural network transfer model, according to which students could reach the stage of selection of the content out of their own learning purpose, interest and previous knowledge concerned, so that students could find relationships between elements of learning since they are highly motivated and teachers could fulfill their teaching objectives comparatively easier out of the same reason. The experiments in the paper prove effective of the above transfer models. The paper concludes that the models aim to make students realize their learning strategies with the hope of improving their intellectual power. Therefore, they are more objective and individual-oriented and more helpful for student's knowledge construction.