As access to smartphones and emerging technologies has become ubiquitous in our daily lives and in language learning, technology-mediated social interaction has become common in teaching and assessing L2 speaking. The changing ecology of L2 spoken interaction provides language educators and testers with opportunities for renewed test design and…

Through Many-Facet Rasch analysis, this study explores the rating differences between 1 computer automatic rater and 5 expert teacher raters on scoring 119 students in a computerized English listening-speaking test. Results indicate that both automatic and the teacher raters demonstrate good inter-rater reliability, though the automatic rater…

This article reports on a study conducted with 42 participants from a Chilean university, which aimed to determine the effect of mode of response on test performance and test-taker perception of test features by comparing a semidirect online version and a direct face-to-face version of a speaking test. Candidate performances on both test versions…

This study examined the use of automatic speech recognition (ASR) scored elicited oral response (EOR) tests to assess the speaking ability of English language learners. It also examined the relationship between ASR-scored EOR and other language proficiency measures and the ability of the ASR to rate speakers without bias to gender or native…

The advantages of portfolios come from observing the student learning process and recording feedback. Students utilized their own learning portfolios to do learning assessment and self-correction. The research that has been done in Taiwan has shown that using a portfolio is effective in improving English speaking performances (ESP). The purpose of…