This study examined the impact of collaborative pre-task strategic planning followed by rehearsal on the quantity and novelty of content used in task performances when strategic planning is performed in different language conditions in an online classroom. Forty Japanese university students of English as a foreign language (EFL) from two intact…

This study examined number marking comprehension among Japanese learners of second language (L2) English, whose first language (L1) does not have an obligatory number marking system. The study conducted an online sentence comprehension experiment with 96 L1-Japanese learners and 32 native speakers of English, wherein participants engaged in a…

Despite the importance of speaking in developing learners' command of language, due to a paucity of research in the domain, little is understood of teachers' systematic strategy instructional practices to improve the quality of their students' utterances. This study sought to address this gap in knowledge through the study of the practices of an…

The current study examined the extent to which first language (L1) utterance fluency measures can predict second language (L2) fluency and how L2 proficiency moderates the relationship between L1 and L2 fluency. A total of 104 Japanese-speaking learners of English completed different argumentative speech tasks in their L1 and L2. Their speaking…

Readers should construct a coherent discourse during reading comprehension. The ability to build coherence has been examined using coherence and cohesion judgment tasks. Although eye-tracking studies have been conducted on building coherence or processing cohesion among native language users, few such studies have been conducted with second…

This study examines the knowledge representation of Japanese university students assessed using grammaticality judgement tests (GJTs) and a metalinguistic knowledge test (MKT). The study also investigates the role of automatised and non-automatised explicit knowledge in general L2 language proficiency. Participants were 87 late learners of English…

VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…