Scoring Spoken Second Language Assessment

Abstract Achieving scores that adequately reflect the test-takers’ proficiency level, as evidenced in spoken assessment tasks, has been the subject of a large body of research in second language assessment. In this chapter, the author outlines the work that has been undertaken in relation to the scoring of spoken assessments by human raters and automated scoring. The chapter focuses on research on rater effects, rater training and feedback, rater characteristics, interlocutor/interviewer effects, rating scales, and score resolution techniques. The section on automated scoring discusses research on the underlying construct and what limits this puts on the types of tasks that can be used in the assessment. The chapter concludes by setting out some future directions for the scoring of spoken responses.