Training Educators to Accurately Classify Learning Disabled Students Using Concept Instruction and Expert System Technology

Abstract

CLASS.LD2, a computer-based expert system designed to provide second-opinion advice on the appropriateness of a learning disabilities classification, was combined with strategies of effective concept instruction to create an instructional package entitled LD.Trainer. LD.Trainer was used to train preservice and inservice regular and special educators to more accurately identify students qualifying for special education under the classification of learning disabilities. The effectiveness of LD.Trainer was compared with exposure to the original CLASS.LD2 system. Ninety-seven volunteer university students were randomly assigned to the LD.Trainer or CLASS.LD2 treatment groups. Subjects who completed the LD.Trainer materials scored statistically and educationally higher on the posttest than those who used the original CLASS.LD2 system. Recommendations for future study and incorporation of effective concept instruction strategies in preparation of special educators are addressed.