Tipo: artículo

Metodología: estudio empírico

Temas: evaluación

Resumen:

This study systematically evaluates generative pre-trained transformer (GPT)-based large language models for the automated writing evaluation of Italian as a second language (L2). Drawing on 1,832 learner texts, we compare six GPT-based experimental conditions: zero-shot and few-shot prompting with GPT-4.1 and GPT-5, and two fine-tuned GPT-4.1 models trained on either class-balanced or proportionally distributed datasets. Model performance against human common European framework of reference for languages (CEFR)-based ratings is examined using exact agreement, correlation coefficients, Quadratic Weighted Kappa, precision, recall, and F1-scores. Results reveal a clear hierarchy: the balanced fine-tuned GPT-4.1 model achieves near-operational reliability, whereas all prompting-based methods, including GPT-5, remain substantially weaker...

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Tipo: artículo

Metodología: estudio empírico

Temas: enseñanza/aprendizaje de lenguas

Resumen:

Effective academic communication in multilingual higher education requires pragmatic competence, yet this dimension of language ability is often overlooked in instruction and insufficiently supported through feedback or authentic practice. Grounded in instructed pragmatics and technology-mediated learning frameworks, this study reports on the design, implementation, and empirical evaluation of an artificial intelligence (AI)-mediated multimodal platform developed to scaffold pragmatic competence in Indonesian within digital academic contexts. The platform integrates five interdependent features: automated text analysis to identify speech acts, politeness strategies, and violations of conversational principles; video analysis with multilingual transcription and theory-based annotation; conversation simulations providing context-...

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Tipo: artículo

Metodología: estudio empírico

Temas: enseñanza/aprendizaje de lenguas

Resumen:

The lack of individualized feedback may lead foreign language educators to think about giving feedback using a variety of artificial intelligence powered (AI-powered) tools, increasing access to automated assessment systems. Furthermore, metacognitive scaffolding guides students in planning, reflecting, monitoring, and assessing their language progress which can be adaptive through AI-driven tools like grammarly and write & improve that alter feedback. The purpose of this study is to investigate how AI-enhanced adaptive scaffolding delivered through automated feedback prompts and reflective questions can improve English as a foreign language (EFL) learners’ writing performance and self-regulatory engagement. Along with a self-report questionnaire, the study used a quantitative approach with experimental design. The study sample...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Model texts have been widely recognized as an effective feedback instrument in enhancing second-language (L2) writing. Recent advances in generative artificial intelligence (GenAI), capable of producing humanlike text in response to user prompts, offer an accessible and efficient alternative for generating customized model texts tailored to L2 learners’ specific goals and proficiency levels. Despite this potential, little empirical research has examined L2 students’ practice and perceptions of leveraging GenAI for model text creation to support their revision. To address this gap, this study follows a process approach to investigate students’ prompting strategies to elicit AI-generated model texts, their noticing and incorporation of the model text features, and their perceptions of this process. Data were collected from 12 university...

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Tipo: artículo

Metodología: estudio empírico

Temas: estrategias de comunicación

Resumen:

This study examines how instructional design shapes the development of oral communication strategies in an 18-week English-as-a-foreign-language speaking course, at a time when generative artificial intelligence is often assumed to enhance speaking performance. All three classes worked with the same curriculum and speaking tasks. One class learned through a BOPPPS (Bridge-In, Objective, Pre-Assessment, Participatory Learning, Post-Assessment, and Summary) based sequence in which students prepared ideas, participated in guided speaking activities, and reviewed their performance, with each cycle including a stage where they generated their own content before using ChatGPT to refine it. A second class received regular teacher guidance and completed the same tasks, but their use of ChatGPT was self-directed and not part of a fixed...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

With the growth of artificial intelligence (AI) tools available to anybody with internet access, English language learners are increasingly turning to these resources to improve their writing skills. By examining their utilization of AI tools to improve their writing proficiency, this research examines the perspectives of Turkish English language learners enrolled in a preparatory program at a state university in Istanbul. Using a Q methodological approach, researchers created a set of 40 statements based on a literature study, which were then sent to 55 consenting individuals. Qualitative information was also collected by interviewing five students in depth. The analysis indicated a growing tendency among students to utilize AI tools for writing assignments, highlighting advantages such as assistance in translation, idea generation,...

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Tipo: artículo

Metodología: estudio empírico

Temas: enseñanza/aprendizaje de lenguas

Resumen:

Recently, a surge of scholarly attention has been paid to the impacts of Artificial Intelligence (AI) tools on second/foreign language (L2) education. Nonetheless, there is a lack of evidence on the role of AI-assisted robots or robot-assisted language learning (RALL) in English as a foreign language (EFL) students’ psycho-emotional factors and academic behaviors. To address this gap, drawing on the technology acceptance model (TAM), the present study probed into the impact of robot-assisted L2 education on Chinese EFL students’ classroom engagement and willingness to attend classes (WTAC). Two questionnaires were filled out by a sample of 155 students at the start and end of a four-month period of intervention. The participants were randomly assigned to a control group (n = 80) and an experimental group (n = 75). Robot-assisted...

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Tipo: artículo

Metodología: estudio empírico

Temas: enseñanza/aprendizaje de lenguas

Resumen:

This quasi-experimental mixed-methods study examined how ChatGPT-mediated rehearsal activities influence English as a second language (ESL) learners’oral proficiency and technology acceptance. Sixty-eight undergraduates were divided into artificial intelligence (AI)-assisted and teacher-led rehearsal groups over 16 weeks. Using repeated-measures analysis and thematic interviews, the results showed observable improvement in fluency and pronunciation among ChatGPT users (Hedges’ g = .72, p .01), while accuracy gains remained modest. Technology acceptance model analysis indicated that perceived usefulness and enjoyment were key predictors of engagement, aligning with sociocultural theory’s emphasis on scaffolding and self-regulation. Qualitative data revealed iterative feedback and reduced anxiety as mediating processes. The findings...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Emotional disengagement has attracted considerable attention in educational research, particularly research on online learning environments. Negative emotions can narrow learners’ attentional focus and suppress spoken output, making it difficult for teachers to gauge students’ actual oral abilities. This study investigates whether real-time recognition of learners’ facial emotions, combined with targeted questioning strategies, can foster more positive affect during synchronous online second language (L2) classes. Using a multitask convolutional neural network (MTCNN) for face detection and the VGGFace model for expression classification, we captured seven emotions from 61 Chinese undergraduates during one-on-one online interactions. Each teacher question was coded for type, mood, and subject pronoun. The results extend research on...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Texto completo

The rapid evolution of generative artificial intelligence (GenAI) has transformed language education, presenting opportunities to enhance efficiency, personalisation and learner engagement. The technologies have also disrupted educators’ conventional roles, necessitating the acquisition of artificial intelligence (AI)-informed digital literacy competencies. This conceptual article explores the integration of GenAI technologies in language education through the lenses of technological pedagogical and content knowledge and substitution augmentation, modification and redefinition frameworks. By examining AI’s affordances and limitations, the article highlights the irreplaceability of the human role...

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