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Microcomputers are becoming an available technology for special education. The article describes the capabilities and features of basic microcomputer systems and describes special education applications: computer assisted instruction, prosthesis, testing, communication, and enhancing personal relations. Problems such as the availability of authoring languages, high quality educational software, and computer safety are described. To include information about what microcomputers can do and how they function is recommended for teacher education and in-service programs.

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What is the relative usefulness of measures of &dquo;intellectual ability&dquo; and self-conceptions of ability in the prediction of academic achievement among deaf children? This paper describes research concerning this question.In posing this question, it is assumed that performance (or &dquo;behavior&dquo;) is subject to the influence of more than one variable or condition at a time and that adequate explanations involve more than a single variable or condition. But, if several variables are proposed as being revelant to performance, it becomes necessary to take into account (or &dquo;measure&dquo;) both the influence of the variables on the behavior we are attempting to explain and their influence upon each other. In the course of the discussion which follows, an attempt will be made to show: (1) the utility of intellectual and personality variables in predicting academic achievement and (2) their relation to one another within the predictive situation.The power of prediction as an intellectual tool resides in the fact that it enables us to rigorously test the adequacy of various theoretical models that might be proposed. The user of this procedure assumes that if certain variables predict certain events in a fairly accurate way, they are more relevent to the behavior studied than those variables which do not. In terms of education, variables which are highly predictive of academic performance should be taken into account in programming to a greater extent than those variables which do not. Further, variables which are better predictors among a set of predictors deserve more attention. The isolation of variables which predict achievement represents the essence