This study presents an exhaustive analysis of the phonological, morphological, and pragmatic dimensions of an artificial intelligence (AI) application developed to facilitate the pedagogical dissemination of Arabic to non-native speakers. The research examines Arabits, a leading AI application created by the Alef Educational Institution, designed…

Background/purpose. Morocco's recent higher education reform, Pacte ESRI-2030, lays emphasis on digital skills, a major component of Power Skills, as a catalyst for student success. Pursuant to this, the current study aimed at assessing the effectiveness of a blended learning model in improving undergraduate students' digital literacy skills.…

The diversity of topics in education makes it difficult for artificial intelligence (AI) to address them all in depth. Therefore, guiding to focus efforts on specific issues is essential. The analysis of competency development by fostering collaboration should be one of them because competencies are the way to validate that the educational…

This article reports results from a study in which two groups of college level students were exposed to interactions with Apple's Siri in order to foster dialogue about their dialectal features. In this paper, the methodology and procedural challenges behind one of the activities that the participants completed are studied. These activities had…

English has become the de facto language for communication in academia in many parts of the world, but English language learners often lack the language resources to make effective oral academic presentations. However, English for academic purposes (EAP) research is beginning to provide valuable insights into this emerging field. This literature…

This study builds upon previous work aimed at developing a student model of reading comprehension ability within the intelligent tutoring system, iSTART. Currently, the system evaluates students' self-explanation performance using a local, sentence-level algorithm and does not adapt content based on reading ability. The current study leverages…

This study used quantitative analyses complemented by the retrospective data obtained through a stimulated recall procedure to address three interrelated issues: (a) whether second language learners use online planning opportunities to carefully plan their speech to enhance the quality of the language they produce, (b) what kinds of self-repair…

Until recently, the challenges inherent in measuring comprehension have impeded our ability to predict the course of language acquisition. The present research reports on a longitudinal assessment of the convergent and predictive validity of the MacArthur-Bates Communicative Development Inventories: Words and Gestures (CDI: WG; Fenson et al.,…

Maps such as concept maps and knowledge maps are often used as learning materials. These maps have nodes and links, nodes as key concepts and links as relationships between key concepts. From a map, the user can recognize the important concepts and the relationships between them. To build concept or knowledge maps, domain experts are needed.…

Research related to online discussions frequently faces the problem of analyzing huge corpora. Natural Language Processing (NLP) technologies may allow automating this analysis. However, the state-of-the-art in machine learning and text mining approaches yields models that do not transfer well between corpora related to different topics. Also,…

The present paper shows the first results of a linguistic project devoted to the construction of web learning tools for reinforcing sensitivity to diaphasic varieties and for learning style variation in L2/LS learning. (Contains 1 figure and 1 footnote.) [Support for this research was provided by the VALERE Project.]

In this study, the researchers attempted to extend the concept of learning companions from the virtual world to the real physical environment and made a breakthrough in technique development of tangible learning robots. The aim of this study was to explore an innovative way by combining the speech recognition technology with educational robots in…

Students with physical disabilities often have difficulty with writing fluency, despite the use of various strategies, adaptations, and assistive technology (AT). One possible intervention is the use of speech recognition software, although there is little research on its impact on students with physical disabilities. This study used an…

The aim of this study is to make a new attempt to explore the potential of integrating game strategies with automatic speech recognition technologies to provide learners with individual opportunities for English pronunciation learning. The study developed the Game Embedded CALL (GeCALL) system with two activities for on-line speaking practice. For…

The few studies that deal with machine translation (MT) as a language learning tool focus on its use by advanced learners, never by beginners. Yet, freely available MT engines (i.e. Google Translate) and MT-related web initiatives (i.e. Gabble-on.com) position themselves to cater precisely to the needs of learners with a limited command of a…