The purpose of the present study is to assess second language (L2) spoken English using automated scoring techniques. Automated scoring aims to classify a large set of learners' oral performance data into a small number of discrete oral proficiency levels. In automated scoring, objectively measurable features such as the frequencies of lexical and…

This paper examines how different test methods may tap different aspects of second language knowledge. It employs multiple-choice (MC) and constructed response (CR) items which yield distinct or convergent information in the computer delivered testing of English in its presentation of this factor. In order to examine the effects of test method, a…

Extensive graded reading (EGR) was carried out with a cohort of 600 engineering students in a university in northern Japan. Pre-and post-surveys were conducted to discover changes in the general reading habits of students, their attitudes toward the assessment method and how goals changed over the course of study. The first survey was carried out…

The ultimate aim of our research project was to use the Google Web Speech API to automate scoring of elicited imitation (EI) tests. However, in order to achieve this goal, we had to take a number of preparatory steps. We needed to assess how accurate this speech recognition tool is in recognizing native speakers' production of the test items; we…

The present study aims to demonstrate how the estimation of vocabulary size might be affected by two neglected factors in vocabulary size tests. The first factor is randomization of question sequence, as opposed to the traditional high-to-low frequency sequencing. The second factor is learners' confidence in choosing the correct meaning for a…