Modern language learning applications have become 'smarter' and 'intelligent' by including Artificial Intelligence (AI) and Machine Learning (ML) technologies to collect different kinds of data. This data can be used for analysis on a microscopic and/or macroscopic level to provide granulation of knowledge. We analyzed 1,213 French language…

This paper introduces "FineTune," a mobile application currently in development that features a gamified version of High Variability Phonetic Training (HVPT). The aims of this paper are twofold: (1) to outline the theoretical motivation for the app's features, which includes a discussion of HVPT, gamification, and Self-Determination…

Despite the unquestionable academic interest on corpus-based approaches to language education, the use of corpora by teachers in their everyday practice is still not very widespread. One way to promote usage of corpora in language teaching is by making pedagogically appropriate corpora, labelled with different types of problems (for instance,…

This piece explores technologies for freer communication "with" machines, i.e. bots (chatbots or conversational agents), rather than the concept of speaking "to" machines, such as Intelligent Assistants (IA) like "Alexa." Bots are computer programmes which simulate natural intelligent communication using text or…

The 2022 EUROCALL conference was held in Reykjavik on 17-19 August 2022 as a fully online event hosted by the Vigdís Finnbogadóttir Institute for Foreign Languages, the University of Iceland, and the Árni Magnússon Institute for Icelandic Studies. The conference theme was "Intelligent CALL, granular systems and learner data." This theme…

Robin (n.d.) defines digital storytelling as "the practice of using computer-based tools to tell stories", stressing that "they all revolve around the idea of combining the art of telling stories with a variety of multimedia, including graphics, audio, video, and Web publishing" (n.p.). While engaging in digital storytelling,…

Linggle is a pattern-based referencing tool that assists in collocation learning. In this ongoing project, we aimed to improve its performance further. First, many of the example sentences are long and difficult for students to understand, so we used a machine learning method and trained a classifier to help select dictionarylike example…

This research aimed to investigate the effects of pronunciation monitoring on learners' affective factors through self-monitoring activities using speech recognition systems. The effect of a specifically designed pronunciation activity for Japanese university students was analyzed. The worksheet form of the activity was based on the use of speech…

The current study investigated the role of visual short-term memory, working memory, and declarative memory as individual differences in the earliest stages of vocabulary and syntactic learning in "Duolingo"-based language instruction. Thirty-eight L1-Greek adults completed memory tasks and engaged in learning Navajo on…

We describe how the open-source Learning and Reading Assistant (LARA) platform was used to convert a classic Old Norse text, the "Völuspá," into an interactive online form. The LARA version includes high-quality recorded audio, translations, notes on key words and phrases, an automatically generated concordance, and links to other online…

This mixed-methods one-shot study examines L2 writers' perceptions of using Automatic Speech Recognition (ASR) to write using the Technology Acceptance Model (TAM), based on three criteria: usefulness, ease of use, and intention to use. After receiving training on Google voice typing in Google Docs, 17 English as a Second Language (ESL) students…

Mandarin Chinese is an increasingly popular world language and object of study, and while there are numerous online character learning apps and flashcard systems, very little research has been done on inductive or autonomous learning in the realm of collocation acquisition. I propose a new Chinese implementation of a trusted corpus-based platform,…

In this preliminary research study, Japanese university students created two dimensional (2D) interactive posters and 360° Virtual Reality (VR) presentations using Thinglink software. Students can use Thinglink software to annotate images with photos, videos, and descriptions. Researchers explore the extent to which students believed that creating…

This research study tends to evaluate the efficaciousness and usability of a Vocabulary Learning And Strategy Teaching Web-App (VLASTWA) -- a customised and targeted web-app for (1) teaching the KeyWord Method (KWM) which is a widely investigated vocabulary learning strategy, and (2) facilitating new vocabulary learning via KWM. In this…

The purpose of this study was to investigate the effect of a mobile User-Generated-Content (m-UGC) tool on enhancing primary students' vocabulary learning motivation and learning outcomes. A total of 40 primary students in Hong Kong participated in this study. The results showed using the m-UGC tool could increase primary students' learning…