As a branch of artificial intelligence, automated speech recognition (ASR) technology is increasingly used to detect speech, process it to text, and derive the meaning of natural language for various learning and assessment purposes. ASR inaccuracy may pose serious threats to valid score interpretations and fair score use for all when it is…

The emergence of computer technology in English language teaching has paved the way for teachers' application of Mobile Assisted Language Learning (mall) and its advantages in teaching. This study aimed to compare the effectiveness of the face to face instruction with Telegram mobile instruction. Based on a toefl test, 60 English foreign language…

The "e-rater"® automated essay scoring system is used operationally in the scoring of "TOEFL iBT"® independent and integrated tasks. In this study we explored the psychometric added value of reporting four trait scores for each of these two tasks, beyond the total e-rater score.The four trait scores are word choice, grammatical…

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…

This article reports on an investigation of the role raters' language background plays in raters' assessment of test takers' speaking ability. Specifically, this article examines differences between American and Indian raters in their scores and scoring processes when rating Indian test takers' responses to the Test of English as a Foreign…

This study investigates the potential for linguistic microfeatures related to length, complexity, cohesion, relevance, topic, and rhetorical style to predict L2 writing proficiency. Computational indices were calculated by two automated text analysis tools (Coh- Metrix and the Writing Assessment Tool) and used to predict human essay ratings in a…

Essay scores generated by machine and by human raters are generally comparable; that is, they can produce scores with similar means and standard deviations, and machine scores generally correlate as highly with human scores as scores from one human correlate with scores from another human. Although human and machine essay scores are highly related…

The main thrust of this study was to determine whether a genre-based instruction improve the writing proficiency of Iranian EFL learners. To this end, 30 homogenous Iranian BA learners studying English at Islamic Azad University, Bandar Abbas Branch were selected as the participants of the study through a version of TOEFL test as the proficiency…

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…

We investigated the scoring of the Speaking section of the Test of English as a Foreign Language[TM] Internet-based (TOEFL iBT[R]) test by speakers of English and one or more Indian languages. We explored the extent to which raters from India, after being trained and certified, were able to score the TOEFL examinees with mixed first languages…

The Test of Written English (TWE), administered with certain designated examinations of the Test of English as a Foreign Language (TOEFL), consists of a single essay prompt to which examinees have 30 minutes to respond. Questions have been raised about the comparability of different TWE prompts. This study was designed to elicit essays for prompts…

A discussion of the differences between the Test of English as a Foreign Language (TOEFL), an American test battery, and the Cambridge English Examinations (Cambridge), a British battery, focuses on the different approaches to language test development embodied in the tests as the source of difficulty in translating between them for individual…

This study examined the construct validity of the "e-rater"® automated essay scoring engine as an alternative to human scoring in the context of TOEFL® essay writing. Analyses were based on a sample of students who repeated the TOEFL within a short time period. Two "e-rater" scores were investigated in this study, the first…

A prototype revised form of the Test of Spoken English (TSE) was compared with the current version of the same test, comparing interrater reliability, frequency of rater discrepancy at all score levels, component task adequacy, scoring efficacy, and other concurrent and construct validity evidence, including the oral proficiency interview…

The e-rater® system has been used by ETS for automated essay scoring since 1999. This paper describes a new version of e-rater (v.2.0) that differs from the previous one (v.1.3) with regard to the feature set and model building approach. The paper describes the new version, compares the new and previous versions in terms of performance, and…