The present study investigates the efficacy of preparation time in four speaking tasks of TOEFL iBT. As the current pre-task planning time offered by ETS is very short, 15 to 30 seconds, we intended to explore how the test-takers' speaking quality would change if the preparation time was added to the response time, giving the respondents a…

This study sought to identify the challenges and needs of TOEFL iBT candidates in achieving C1 level scores in the speaking and writing sections of the exam. To this end, the researcher employed a mixed-method approach to collect data from a population of 46 students, both male and female, between the ages of 22 and 30. The participants were…

The current paper examined the impact of Dynamic Assessment (DA) on the speaking skills of EFL learners applying socio-cultural theory, which was developed by Vygotsky (1934). The study also tried to compare the results from online synchronous DA sessions, which were done in the form of one-to-one online training over Google Meet, with the results…

Recent technology advancements have increased the prospects for automated spoken language technology to provide feedback on speaking performance. In this study we examined user perceptions of using an automated feedback system for preparing for the TOEFL iBT® test. Test takers and language teachers evaluated three types of machine-generated…

Admission in English-medium universities or institutions of higher education depends on the results obtained by candidates in large-scale proficiency tests including Test of English as a Foreign Language (TOEFL) internet-based test (iBT). The structure and administration procedure of the TOEFL iBT speaking test leaves no room for carrying out…

An assumption underlying speaking tests is that scores reflect the ability to produce online, non-rehearsed speech. Speech produced in testing situations may, however, be less spontaneous if extensive test preparation takes place, resulting in memorized or rehearsed responses. If raters detect these patterns, they may conceptualize speech as…

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…