APPLICATION OF NEURAL NETWORKS TO ADAPTIVE TRAINING SYSTEMS

MUCH RESEARCH AND DEVELOPMENT IS UNDERWAY TO CONSTRUCT INTELLIGENT TRAINING SYSTEMS CAPABLE OF ADAPTING THEMSELVES AUTOMATICALLY TO AN INDIVIDUAL STUDENT'S PERFORMANCE AND LEARNING MODALITIES, AND TO DETERMINE THE FEASIBILITY OF APPLYING OF NEURAL NETWORK TECHNOLOGY TO THE DEVELOPMENT OF THESE SYSTEMS. THIS RESEARCH AND DEVELOPMENT EFFORT WILL SEEK TO APPLY NEURAL NETWORKS TO A DIFFICULT PROBLEM (NAMELY, "MISCUE ANALYSIS") IN THE DEVELOPMENT OF INTELLIGENT TRAINING SYSTEMS, WHICH HAS PROVEN TO BE INTRACTABLE WITH CONVENTIONALKNOWLEDGE ENGINEERING APPROACHES, MISCUE ANALYSIS. AS PART OF THE PROPOSED RESEARCH AND DEVELOPMENT EFFORT A PROTOTYPE NEURAL NETWORK SYSTEM WILL BE DEVELOPED WHICH ENABLES THE AUTOMATIC LEARNING OF CAUAL MODELS OF STUDENT FAILURES AND ERRORS, AND WHICH CAN READILY ADAPT TO INDIVIDUAL LEARNING STYLE DIFFERENCES.