Tipo: artículo

Metodología: estudio empírico

Temas: feedback/retroalimentación

Resumen:

El estudio aplica cinco estrategias de retroalimentación correctiva de la expresión escrita para que los alumnos las valoren —desde su propio punto de vista y mediante un cuestionario final— en términos de agilidad, aprendizaje y motivación. Adopta la investigación-acción como paradigma para adaptar cada estrategia a un contexto de aula concreto hasta identificar la que el alumnado percibe como más efectiva y motivadora, situando su percepción en el centro del proceso, y ofrece a la comunidad docente una orientación sobre qué estrategia podría ser la más efectiva.

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Tipo: libro

Metodología: revisión bibliográfica

Temas: atención a la forma

Resumen:

Volumen monográfico dedicado por completo al papel de la atención a la forma en el aprendizaje de segundas lenguas dentro del aula.

Ellis revisa en la introducción las explicaciones sucesivas del problema —del conductismo al aprendizaje naturalista— y propone un marco que articula la relación entre conocimiento explícito e implícito; los capítulos siguientes, de distintos autores, examinan los efectos de tipos concretos de instrucción sobre la adquisición.

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Tipo: libro

Temas: expresión escrita

Resumen:

Volumen de la colección Cuadernos de Didáctica del Español/LE de Arco/Libros, planteado como manual de síntesis sobre el estado de la cuestión en la enseñanza de la producción escrita en segunda lengua y, en particular, en español como lengua extranjera.

Investigaciones y fundamentos: la primera parte resume lo aportado por la lingüística, la psicología y la pedagogía al estudio del acto de escribir en una segunda lengua —lingüística del texto, análisis del género discursivo, retórica contrastiva y procesos de composición—, con atención a las formas electrónicas de escritura.

Didáctica en el aula: la segunda parte expone los enfoques metodológicos con que puede aprovecharse la escritura en clase, y propone modelos de tarea de escritura, procedimientos de...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

With research showing the benefits of feedback, teachers have come under increasing pressure to provide more, including more personalised, and more detailed responses to students. This often places heavy demands on teachers and with ever-larger class sizes and heavier workloads, teacher fatigue and burn-out are common. Automation has the potential to change all this and new digital resources have already proven to be valuable in supporting L2 writing. In this paper I look at the contribution of Automated Writing Evaluation (AWE) programmes and Generative Artificial Intelligence (GenAI) to feedback. The ability to provide instant local and global feedback across multiple drafts targeted to student needs and in greater quantities promises to increase learner motivation and autonomy while relieving teachers of hours of marking. But haven...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Generative AI (GAI) is transforming education, despite its widespread use, its role in supporting student learning remains underexplored, and how to effectively leverage GAI for educational purposes is still unclear. This study focuses on enhancing language learning through GAI, specifically in picture-cued writing tasks, where students describe life scenarios depicted in pictures through text. A Generative AI-assisted language learning system was developed, powered by fine-tuned multimodal Large Language Models (LLMs), designed to evaluate students' textual descriptions in relation to corresponding images and provide adaptive feedback. A lot of middle school students participated in the...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Collaborative writing, paired with AI feedback, represents an innovative and effective pedagogical approach with the potential to revolutionize language learning practices. This study explores the influence of a three-step collaborative writing intervention, where AI feedback specially enhances the revision and editing stages of the L2 writing process for Thai-major undergraduate exchange students. Employing a quasi-experimental design, the study included 39 junior exchange students, with 18 in the experimental group and 21 in the control group. The approach employed a wiki-based collaborative writing strategy, integrating ChatGPT for written corrective feedback. The 10-week intervention...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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This study aims to use the analysis, design, development, implementation, and evaluation (ADDIE) model to develop an intelligent virtual reality (VR) interactive system for learning pour-over coffee brewing. The operation of pour-over coffee brewing is complex. An intelligent system is a concrete actuator that realizes artificial intelligence (AI) decisions. When learners face the challenge of learning complex skills, an intelligent system can actively analyze their learning behaviors and provide corresponding intelligent feedback to correct them. Furthermore, head-mounted-display VR can structure an immersive environment to improve the learning experience and knowledge transfer. This...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Integrating artificial intelligence into medical imaging offers potential for dental education. While existing models automate diagnosis, they often lack the interpretive depth needed for comprehensive student training. To address these limitations, this paper presents Gen-Mentor , a human-in-the-loop instructional framework that integrates the DentDiff-VLM backbone into a dental-radiography workflow. The backbone uses Faster R-CNN to localize four target radiographic findings: Filling, Implant, Impacted Tooth, and Cavity. A conditional diffusion model supports curriculum expansion by generating class-specific synthetic ROI candidates as candidate instructional assets. A vision–language...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Scene description tasks effectively enhance students' English writing skills in contextual settings, facilitating the establishment of authentic situational connections. However, evaluating descriptive quality and providing accurate, level-appropriate feedback present significant challenges. Although Multimodal Large Language Models (MLLMs) have demonstrated strong capabilities in vision-language tasks, their generated feedback for scene description tasks often remains generic. It fails to account for students' educational stages. To address this limitation, we construct a novel level-specific feedback dataset for scene description tasks. This dataset is constructed using GPT-4o with...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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This study investigates the effects of adaptive feedback generated by large language models (LLMs), specifically ChatGPT, on performance in a written diagnostic reasoning task among German pre-service teachers (n = 269). Additionally, the study analyzed user evaluations of the feedback and feedback processing time. Diagnostic reasoning, a critical skill for making informed pedagogical decisions, was assessed through a writing task integrated into a teacher preparation course. Participants were randomly assigned to receive either adaptive feedback generated by ChatGPT or static feedback prepared in advance by a human expert, which was identical for all participants in that condition, before...

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