In current research into second language (L2) speaking, aspects of fluency are measured as static constructs. Averaged over a complete speaking performance, for instance, syllables per minute is calculated. Similarly, the number of pauses is calculated per minute, averaged over a complete speaking task. This paper argues, however, that we need to…

While recent and significant progress made in natural language processing and artificial intelligence (AI) has the potential to drastically influence the field of language education, many language educators and administrators remain unfamiliar with these recent technological advances and their pedagogical implications. The primary purpose of this…

Progress made in Natural Language Processing (NLP) and Artificial Intelligence (AI) in recent years has resulted in these tools becoming more accessible for individuals who lack professional training. Of particular note are large language models, such as OpenAI's GPT-3.5. Discussions of utilizing AI for language education usually focus on the…

The recent surge in the popularity of Large Language Models (LLM) for language assessment underscores the growing significance of cost-effective language evaluation in our increasingly digitalized society. This paper posits that the application of computational psychometrics can enable the incorporation of technology into language assessment,…

In Krashen's theory of second-language acquisition he claims that there is distinction between language acquisition and language learning, a distinction which other second-language acquisition researchers have called "perhaps the most important conceptualization" in the field and which has made possible the most productive models of SLA.…

This book provides an overview and analysis of the role that classroom interaction plays in instructed second language acquisition. The authors synthesise current state-of-the-art research on how classroom interaction benefits L2 learning through the lens of three theoretical perspectives: cognitive-interactionist (with a focus on how…

When studying grammar, students must not only focus on its structure but also on its form. Form-focused activities are integral to this process, requiring students to identify and manipulate language forms. A well-established technique for facilitating language acquisition is the consciousness-raising task (CR), which aims to heighten learners'…

The last two decades have seen a significant amount of interest in bilingual language learning and processing. A number of computational models have also been developed to account for bilingualism, with varying degrees of success. In this article, we first briefly introduce the significance of computational approaches to bilingual language…

While translation was once a key component of language teaching, throughout the twentieth century, it largely gave way to methods and approaches with a greater focus on communicative competence. However, efforts have been made in the past few decades to return translation and more generally multilingual language learning to classrooms. In the…

Among the various challenges that adult and other late language learners face on their journey to achieving nativelike proficiency, chunking has been identified as one of the most difficult tasks to master. Language users are able to derive and utilize chunks during language processing -- both in the first (L1) and the second language (L2) -- yet…

This paper explores the implications of ChatGPT for language teaching through the lens of Paulo Freire's critical pedagogy. A review of recent research on ChatGPT reveals promising opportunities for personalised and interactive learning, but also risks of propagating cultural bias, plagiarism and passive learning. Freire's concepts of 'banking'…

A new technique to teach language grammar is proposed. It consists of the blending of two previously existing techniques--VanPatten's (1996) Processing Instruction (PI) and Adair-Hauck and Donato's (2002) Presentation, Attention, Co-construct, and Extension (PACE) Model. The result is the S-PACE Model, which incorporates the whole-language…

Corpus analysis methods have been widely employed in literary translation research by numerous scholars. However, their integration into literary translation training has yet to be developed. With the advancement of AI technology, this paper explores the potential of employing AI-enhanced corpus text analysis and text mining techniques in this…

Research employing psycholinguistic techniques to assess the on-line processing of collocation by native and non-native speakers has flourished in the past few years. This line of research aims (among other things) at exploring actual performance in real time as opposed to the traditional paper-and-pencil testing techniques that have been…

This article unfolds and argues for Biliteracy Metaphor Analysis (BMA), a methodology for examining the interpretation and use of metaphors in canon literature in a biliteracy context, in this case the canon of Danish literature read and interpreted by multilingual students in a ninth grade classroom. BMA combines Spradley's ethnographic framework…