Cognitive diagnostic models (CDMs) have received much interest within the field of language testing over the last decade due to their great potential to provide diagnostic feedback to all stakeholders and ultimately improve language teaching and learning. A large number of studies have demonstrated the application of CDMs on advanced large-scale…

This innovations in practice article introduces a chatbot that was developed to support and motivate second language learners during the COVID-19 pandemic. The chatbot was designed to facilitate active, out-of-class language learning to supplement in-class input. It can adapt to learners' abilities and pace by chatting with them, thus providing…

This study used eye-tracking, in combination with stimulated recalls and reflective journals, to investigate L2 learners' engagement with automated feedback and the impact of feedback explicitness and accuracy on their engagement. Twenty-four Chinese EFL learners revised their writing through Write & Improve with Cambridge, a new automated…

Adult second language (L2) learners have often been found to produce discourse that manifests limited and non-native-like use of multiword expressions. One explanation for this is that adult L2 learners are relatively unsuccessful (in the absence of pedagogic intervention) at transferring multiword expressions from input texts to their own output…

This study investigates the effect of activating metacognitive strategies on the listening performance of English as a foreign language (EFL) university students and explores the impact of such strategies on their metacognitive awareness of the listening task. The participants were N = 50 students of English literature at the state university of…