This paper outlines the design, development, and preliminary usability study of a system comprising (1) a web-based Indigenous lesson-creation interface and (2) an accompanying mobile app for studying the lessons. The Nisotak project was developed in response to the need for the preservation of Indigenous languages and to support reconciliation…

The Modern Language Association (MLA) published a writing and artificial intelligence (AI) working paper that provided an overview of key issues, concerns, and recommendations to help language educators make principle-driven pedagogical decisions to support critical AI literacy. To address the MLA's recommendations, a collaborative AI writing…

TESOL professionals have published extensively in the last two years about AI's benefits for teaching and learning English, with critique for the use of AI in TESOL mainly focusing on its implications for classrooms and schools. Using Paris and Alim's framework for culturally sustaining pedagogies (CSP), I argue that the outsized environmental…

Digital educational game-based apps can be effective in helping young children develop language skills, particularly when paired with formal instruction. However, we need to know more about how educational games benefit learning in the absence of formal instruction, given children's proficiency with and willingness to use mobile devices anytime,…

For many Indigenous Nations and organizations, computer-assisted language learning (CALL) courses have become an effective means to support Indigenous language revitalization and reclamation (ILR) efforts. Engaging a methodology of storywork and highlighting relationships between relevant fields of ILR, CALL, and applied linguistics, this article…

The present article aims to spur interest in the pedagogical potential of translating musicalized texts, a genre that for a long time has remained on the periphery of Applied Translation Studies. First, it provides a broad overview of the various theoretical perspectives that the academic community has had throughout history on the translation of…

To test the predictive power of the SSARC (stabilize, simplify, automatize, reconstruct, and complexify) model of pedagogic task sequencing in second language (L2) writing development, the present study explores the performance of written decision-making tasks with varied levels of cognitive complexity in a simple-to-complex sequence in comparison…

Based on the concept of "learner agency", this single case study examines the self-instructed language learning process of a language learner with ChatGPT since May 2024. To serve the purpose of the study, qualitative data were collected through a semi-structured interview, the participant's chat logs with the bot, and his learning…

This study explores the way translation crowdsourcing may contribute to metacognitive translator training through a teaching experiment where Global Voices Lingua was integrated into an undergraduate English-Chinese translation course. In doing so, the study investigates how translation students' awareness of conditional knowledge and its…

The use of machine translation (MT) in the academic context has increased in recent years. Hence, language teachers have found it difficult to ignore MT, which has led to some concerns. Among the concerns, its accuracy has become a major factor that shapes language teachers' pedagogical decision to use MT in their language classrooms. Despite the…

Comparative Judgement (CJ) has emerged as a technique that typically makes use of holistic judgement to assess difficult-to-specify constructs such as production (speaking and writing) in Modern Foreign Languages (MFL). In traditional approaches, markers assess candidates' work one-by-one in an absolute manner, assigning scores to different…

Mobile-assisted language learning has expanded beyond relatively humble beginnings of replicating computer-based activities assigned in formal language learning contexts, and it now often consists of a complex mix of formal and informal learning activities that take place at different times and places throughout learners' daily lives. Decisions…

The assessment of writing competency in French as a Foreign Language presents significant challenges due to the multidimensional nature of writing and heterogeneous evaluation practices. This research introduces an innovative framework integrating artificial intelligence and interactive visualization to support the formative assessment of writing…

Background/purpose; There is an ongoing debate on the potentiality of using AI for educational purposes, ranging from some optimistic views that anticipate AI to continue changing the interface of language education on one side, to a more cautious camp questioning the efficacy of the issue. As a significant group of stakeholders in the educational…

With increasingly rapid advances in machine translation (MT) technology, such as Google Translate, MT has become an indispensable learning resource for second or additional language learners. Many studies indicate that MT or postediting of MT (PEMT) can be an effective tool for L2 learning and teaching. Nevertheless, little research illustrates…