In the past decade, there has been increasing scholarly interest in language teachers’ emotional experiences, how they regulate and manage their emotions, and how their experiences and emotion-related practices are related to their cognition, practice, well-being, and professional development. A systematic and critical review is needed to help language teaching professionals to benefit from the insights generated by these studies. This review aims to explore this growing body of research on the emotions of language teachers published between 2015 and 2024 by outlining four major research themes: 1) emotional experience; 2) emotion labour; 3) emotion regulation; and 4) emerging emotion-related concepts. This review critically discusses these themes and draws on relevant research findings to visualise the results in an emotion-focused map of language teachers’ professional development. It concludes by proposing a research agenda to stimulate further inquiry into the emotions of language teachers.
This study investigated the interaction between oral task enjoyment and task repetition and the effect of this interaction on second language learners’ speech complexity, accuracy, and fluency. In the context of task-based language teaching, task enjoyment is a context-specific, situational emotion that arises during task performance and is hypothesised to enhance engagement, motivation, and overall task performance, whereas task repetition is a classroom procedure shown to improve fluency, and possibly also complexity and accuracy. Fifty-two Polish young adult learners of L2 English completed the Oral Task Enjoyment Scale before exact task repetition. Their oral task performances were analysed before and after immediate exact task repetition. Results from Generalized Linear Model analysis reveal that 1) task repetition enhances lexical diversity and marginally improves fluency, 2) higher levels of oral task enjoyment positively influence learners’ lexical diversity, correct verb forms, and speech rate, yet 3) its interaction with task repetition is not significant, suggesting that task repetition benefits are consistent across different levels of enjoyment. These findings imply that task repetition is an effective strategy for improving language performance, regardless of learners’ emotional engagement with the task.
Automatization is the learning process by which controlled, effortful second language (L2) processing becomes automatic, fast, and effortless through practice – a critical transition for L2 development. Achieving automaticity allows learners to progress from laborious language use to fluent, real-time communication by freeing limited cognitive resources. This research timeline synthesizes four decades of laboratory and classroom research on automatization, bridging cognitive learning theories with pedagogical practice. We trace five key research strands: (1) cognitive mechanisms, including the explicit-implicit knowledge interface; (2) skill development trajectories across phonological, lexical, morphosyntax, and pragmatics domains; (3) instructional approaches promoting automatization of knowledge and skills through deliberate and systematic practice; (4) methodological advances in measuring automaticity (e.g., reaction time, coefficient of variation, neural measures); and (5) individual differences in long-term memory systems (declarative and procedural memory). This timeline offers a comprehensive perspective on how automatization research has significantly advanced our understanding of L2 learning.
Although word lists have generated a great deal of attention from researchers, there has been no comprehensive review of the applications of word lists in second language learning and teaching. This article reviews the development, validation, and applications of 50 word list studies that were published and discussed in major international peer-reviewed Applied Linguistics and TESOL journals from 2013 to 2023. It shows that the methodology of word list development and validation has become more sophisticated and word list developers can see many potential applications of their lists in research and pedagogy. However, most applications of recently developed word lists have been restricted to the BNC/COCA lists developed by Paul Nation, and little is known about the degree to which most word lists have been used in pedagogical contexts. Our review indicates several directions for future research on word lists, including exploring the impact of published lists on pedagogy, replicating word list studies for learners in underrepresented contexts, and developing sustainable, low-cost methods of developing word lists to allow teachers and learners to create lists serving their own needs.
History is littered with unfulfilled promises that emerging technologies – from radios to televisions, and from computers to mobile phones – would completely transform teaching and learning. Now the same promises are being made of generative artificial intelligence (AI). This presentation argues that we should not be focusing on educational revolution, but instead on educational evolution. Education is a complex social, cultural, and political endeavour, serving multiple purposes and multiple stakeholders, and technology is just one of many elements in this large ecosystem.
Focusing on the context of language teaching and learning, this presentation discusses what has changed technologically, and suggests what could and should change educationally. It shows that ChatGPT and a range of other generative AI tools can contribute to language and literacy development in a number of ways, but that we need to be wary of their pedagogical, social, and environmental risks. Educators must develop the AI literacy necessary to take a more nuanced view of generative AI, and we must help our students to do the same.
This paper is based on a keynote presentation delivered at the English Australia Conference in Perth, Australia, on 12 September 2024, with some elaborations for the written version alongside minor updates to reflect more recent developments and publications.

