Data-Driven Assessment of Teacher Candidates During Their Internships in Deaf Education

Abstract

Deaf education teacher training programs have received criticism for graduating students with gaps in knowledge and skills required for specific placements. The National Council for Accreditation of Teacher Education (NCATE) requires that accredited programs engage in self-study, and NCATE guidelines require programs to collect valid, reliable evidence of teacher candidate performance and candidates' effect on student learning. In the present study, an ecobehavioral assessment computer program, MS-CISSAR (Mainstream Code for Instructional Structure and Student Academic Response), was used in evaluations of 8 teacher candidates during internship experiences. Results were mixed. Some of the instructional arrangements, teaching behaviors, and student responses resembled those found in studies using in-service teachers as subjects; however, some data revealed a need for changes in instruction. Data gathered with MS-CISSAR could be added to evaluations to help training programs meet NCATE requirements for evidence on teacher candidate performance and candidates' effect on student learning.