English proficiency assessments have become a necessary metric for filtering and selecting prospective candidates for both academia and industry. With the rise in demand for such assessments, it has become increasingly necessary to have the automated human-interpretable results to prevent inconsistencies and ensure meaningful feedback to the…

Teacher cognition has attracted increased attention among second language (L2) researchers and practitioners, likely because of its potential consequences for classroom practices, such as teaching and assessment. Prior research has revealed links between teacher beliefs about pronunciation teaching and teachers' own experience (e.g. amount of…

This paper compares two alternative scoring methods--multiple regression and classification trees--for an automated speech scoring system used in a practice environment. The two methods were evaluated on two criteria: construct representation and empirical performance in predicting human scores. The empirical performance of the two scoring models…