The present study investigated the speaking module of TOEFL iBT with an emphasis on the dichotomy of independent and integrated tasks. The potential differences between the two speaking conditions were intended to be explored based on the oral performance elicited from a group of Iranian test takers. To collect the required data, a simulated…

In online environments, listening involves being able to pause or replay the recording as needed. Previous research indicates that control over the listening input could improve the measurement accuracy of listening assessment. Self-pacing also supports the second language (L2) comprehension processes of test-takers with specific learning…

Despite growing interest in the studies on Zone of Proximal Development (ZPD), its operation in the forms of individualized and group-wide has been controversial. To cast some empirical light on the issue, this study was designed to study the applicability of the two scenarios of ZPD-based instructions to the writing accuracy of two levels of…

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…

When viewed through a generic, one-size-fits-all perspective, use of input enhancement does not appear effective. Through analysis of individual grammatical features and different learner proficiency levels, a significant impact may be revealed. To study the impact of input enhancement on diverse grammatical features, 16 short reading texts and…

This study aimed at exploring the impact of mentor text modelling on Iranian English as a Foreign Language (EFL) learners' accuracy and fluency in writing tasks with different cognitive complexity in comparison with two conventional approaches to teaching writing; namely, process-based and product-based approaches. To this end, 60 Iranian EFL…

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 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…

In this study we compare test takers' performance on the Speaking section of the TOEFL iBT™and their performances during their real-life academic studies. Thirty international graduate students from mixed language backgrounds in two different disciplines (Sciences and Social Sciences) responded to two independent and four integrated speaking tasks…