Background: The utilisation of video-dubbing tasks, wherein learners record their voices over video clips to practise pronunciation, fluency, grammatical accuracy, and vocabulary use, is relatively novel in the English language learning context. Exploring the effectiveness of video-dubbing tasks can lead to more innovative and effective speaking…

The last three decades have seen significant development in understanding and describing the effects of task complexity on learner internal processes. However, researchers have primarily employed behavioral methods to investigate task-generated cognitive load. Being the first to adopt neuroimaging to study second language (L2) task effects, we…

Chinese has become a prime foreign language in the educational policies of many nations, including Thailand. However, strategies for Thai students to successfully improve their Chinese, especially speaking skills, remain understudied. To minimize the knowledge gap, this quantitative study investigated Thai students' speaking strategies when…

Speaking skills have always been regarded as the most difficult skill out of the four skills that learners should master in language learning. The importance of learning speaking skills has also been highlighted by many researchers in recent years. With the use of technology in this modern era, learners can learn speaking skills through various…

This study developed the Speaking Strategies for Self-Regulated Learning Questionnaire based on Oxford's (2017) strategic self-regulation model of language learning to cross-validate the multifaceted structure of speaking strategies in English as a foreign language (EFL) learners. 963 undergraduate students from a university in Southeast China…

Artificial intelligence (AI) technology has been progressively utilized in educational environments in recent years, due to the advances in computing and information processing techniques. The automatic speech recognition technique (ASR) provides students with instantaneous feedback and interactive oral practice for supporting a context with…

Our research investigated the integration of artificial intelligence in education (AIEd), focusing on Indonesian university students' perspectives. A quantitative survey design was based on the Technology Acceptance Model (TAM), a framework focused on perceived usefulness, modified by adding items related to affective aspects: interest, needs,…

This study investigated the effects of two different planning time conditions (i.e., operational [20 s] and extended length [90 s]) for the lecture listening-into-speaking tasks of the "TOEFL iBT"® test for candidates at different proficiency levels. Seventy international students based in universities and language schools in the United…

This study explores the potential for automated indices related to speech delivery, language use, and topic development to model human judgments of TOEFL speaking proficiency in second language (L2) speech samples. For this study, 244 transcribed TOEFL speech samples taken from 244 L2 learners were analyzed using automated indices taken from…

Describes a partially self-instructional program designed to deal with the correction of errors in second language learning. The purpose of the program is: 1) to sensitize future teachers to types of errors that occur in oral language practice, and 2) to help teachers make decisions as to how to correct errors effectively. (CLK)

A series of partial studies aimed at understanding how much progress students can make in 1 year of second language study are described. The first concerns Swedish university students in their first year studying Spanish as a third language in higher education. Students were tested and interviewed for their perceptions of their language ability…

Language Assessment Scales, Level 2 (LAS II) are used to assess the linguistic proficiency of limited-English-speaking or non-English-speaking adolescents. LAS II, like its predecessor, LAS I, provides a picture of oral linguistic proficiency based on a student's performance across four linguistic subsystems: phonemic, lexical, syntactic and…