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  • estudio empírico

Bibliografía: estudio empírico

Nº de publicaciones: 2168
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Value-sensitive design in action: Designing student-centered intelligent tutoring systems with community college students and instructors
Eunhye Grace Ko, Joan E. Hughes (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Amidst increased interest in AI ethics in education, we delve into the design of human-centered AI intelligent tutoring systems (ITS) through Value Sensitive Design (VSD). We conducted design activities, engaging in discussions with community college students, instructors, and field experts including developers, and data scientists. The research culminated 16 designs incorporating human-in-the-loop, explainable AI, and privacy controls, emphasizing student-centricity in ITS. The study highlights the historical oversight of student and instructor values in learning platform design, demonstrating how VSD can integrate student-centered perspectives into ITS to promote trust, privacy, and...

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Beginning and first-year language teachers’ readiness for the generative AI age
Benjamin Luke Moorhouse (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The public release of ChatGPT in November 2022 ignited an intense debate about the effects generative AI (GAI) tools will have on language teaching. The advanced capability of GAI tools and their rapid uptake by students has brought both challenges and opportunities to language teachers. This qualitative study, using in-depth individual and group interviews with ten beginning teachers and seventeen first-year English language teachers, explored their readiness for using GAI tools in their professional work and their perceptions of GAI in language teaching. The study found that first-year teachers were generally ready for the use of GAI tools and could recognize its potential to support...

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Rewriting the curriculum: A systematic review of generative AI-driven pedagogical change and emerging systems of learning in higher education
Alvedi Sabani, Mohamed H. Farah, Putra Endi Catyanadika (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The rapid rise of generative artificial intelligence (GenAI) tools such as ChatGPT is transforming the landscape of higher education. Beyond their immediate use in writing support and tutoring, these tools are driving a more profound transformation in pedagogy, curriculum design, and the foundational structures of learning itself. Drawing on a triangulated mixed-methods design, this study integrates a scoping review, bibliometric mapping (VOSviewer, n=209 records), a systematic literature review of 36 peer-reviewed articles (2023–2025), and ten semi-structured interviews with academic leaders and educators across five institutions in Australia and Indonesia. The central aim of the study is...

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Co-creation in action: Bridging the knowledge gap in artificial intelligence among innovation champions
Elizabeth Irenne Yuwono, Dian Tjondronegoro, Carla Riverola (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The increasing significance of artificial intelligence (AI) in various industries highlights the necessity for industry leaders and professionals to comprehend and gain knowledge about AI. The urgency for AI literacy is more critical than ever due to the potential unethical use of AI resulting from insufficient knowledge. This issue is particularly crucial for educators because they need to understand and adapt to the impact of AI within educational institutions, with some needing to use and become literate in AI, given that students now have increased access to public AI tools. This research presents a multi-phase study to address the issue of bridging the knowledge gap in AI by conducting...

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La transferencia de instrucción
Carlota Piedehierro (2007)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: influencia de la L1

Resumen:

Texto completo

Una rama de la investigación sobre escritura en segundas lenguas ha mostrado que las experiencias previas de aprendizaje pueden influir en el comportamiento escritor y en los productos escritos de usuarios de lenguas segundas, determinando tanto la aptitud de los escritores como la calidad de los textos. Este trabajo presenta un estudio que pretende mostrar la existencia de un proceso detransferencia de instrucción (Selinker, 1972) presente en la IL de productos escritos de un grupo de estudiantes francófonos de español lengua extranjera (ELE). Su objetivo fue establecer si distintos modelos de instrucción pueden ser un factor que explique el uso y el nivel de dominio de un determinado...

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ChatGMP: A case of AI chatbots in chemical engineering education towards the automation of repetitive tasks
Fiammetta Caccavale, Carina L. Gargalo, Julian Kager (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial Intelligence (AI) is rapidly and consistently becoming more integrated in various aspects of our lives. One of the areas where these systems are increasingly used is education. In fact, it is both being incorporated into specific curricula, allowing students the possibility to acquire skills within this field, and more recently AI has been used as a tool to facilitate the teaching and learning process. However, an increased demand and availability of these tools do not imply a successful switch from traditional to AI-supported learning.In this work, ChatGMP, a chatbot leveraging a Large Language Model (LLM) able to conduct an interview exercise in a Master's Degree course taught...

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Exploring the “what” and “how” of opportunities and challenges of AI in EFL teacher education
Sina Omidvar, Hussein Meihami (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial Intelligence (AI) has significantly impacted second language education, including English as a foreign language (EFL) teaching and learning. Although various studies have been conducted to examine the opportunities and challenges of AI in EFL teaching and learning, comparable work on the opportunities and challenges of AI in EFL teacher education is limited. This study aimed to explore the “what” and “how” of opportunities and challenges of AI in EFL teacher education. To that end, we used descriptive narrative design in which we collected autobiographical narratives and conducted semi-structured interviews with 35 EFL teachers, four EFL teacher educators, and four computer...

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La comprensión de los estudiantes de los diferentes tipos de texto: estrategias para identificar y mejorar la comprensión conceptual de los estudiantes
Hiart Hernandez Hernández Tellaeche (2021)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: comprensión lectora

Resumen:

Texto completo

This article evaluates students’ conceptual understanding using the think-aloud method. The participants, four students who were studying the last year of the Spanish ab initio course in an international school in Prague, volunteered to take part in the think-aloud protocols. The results show that the think-aloud method helps to get a better sense of students’ understanding of different text types.

Este artículo evalúa la comprensión conceptual de los estudiantes mediante el método de think-aloud. Los participantes, cuatro estudiantes del curso de Español ab initio de una escuela internacional en Praga, se ofrecieron como voluntarios para participar en los protocolos de think-aloud....

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Style, sentiment, and quality of undergraduate writing in the AI era: A cross-sectional and longitudinal analysis of 4,820 authentic empirical reports
Matthew H.C. Mak, Lukasz Walasek (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

As generative artificial intelligence (GenAI) becomes widespread in education, its influence on students' academic practice raises concern. We conducted pre-registered analyses of 4820 empirical reports authored by 2000 psychology undergraduates (2016–2025) to examine how ChatGPT's launch in November 2022 may influence the style, sentiment, and quality of students' writing. Following ChatGPT's release, prevalence of ChatGPT-associated lexical markers (e.g., delve, intricate) surged until 2024, then declined in 2025, possibly due to some students actively masking GenAI traces. Writing style (indexed by lexical diversity/density/sophistication, nominalisation, readability) became increasingly...

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Developing a weather prediction project-based machine learning course in facilitating AI learning among high school students
Wen-Yen Lu, Szu-Chun Fan (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The rapid growth of artificial intelligence (AI) technology has changed lifestyles, work patterns, and educational approaches. However, courses that can guide students through the practical applications of AI technology are still scarce in K-12 education. This study aimed to develop a project-based machine learning (ML) course for the implementation of AI technology. The core idea of this course, which focused on the supervised learning of AI ML technology, was designed based on the project of weather prediction. Furthermore, data collection and status display were realized using various hardware devices such as Arduino and sensors, whereas ML algorithms were implemented in Python...

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