artículo

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study investigated in-service teachers' Technological Pedagogical Content Knowledge for Generative Artificial Intelligence (TPACK-GenAI) and examined the factors influencing their integration of generative AI in classroom practice. Using an explanatory sequential mixed-methods design, data were collected from 325 in-service teachers across 26 countries, followed by in-depth interviews with seven teachers. Quantitative results revealed that Technological Knowledge (TK), Pedagogical Knowledge (PK), and Pedagogical Content Knowledge (PCK) were significantly associated with teachers' overall TPACK-GenAI. Crucially, mediation analysis confirmed that Technological Pedagogical Knowledge (TPK...

Estrategias de combinación de recursos lexicográficos en la adquisición de lenguas extranjeras (en contextos específicos)

Johannes Schnitzer, Dagmar Gromann (2017)

Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas

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Tipo: artículo

Metodología: estudio empírico

Temas: lexicografía

Resumen:

En relativamente poco tiempo el mundo lexicográfico ha experimentado cambios radicales respecto a la producción, a la disponibilidad y al uso de los distintos recursos lexicográficos. Han surgido nuevos medios que, aunque no tienen la búsqueda lexicográfica como primera función, bien pueden servir para este objetivo: buscadores de internet, corpus de textos paralelos, foros electrónicos, medios sociales, traductores automáticos, etc. En este contexto se plantean preguntas como qué papel desempeñan los distintos recursos lexicográficos en una búsqueda lexicográfica concreta, cuál es la combinación de ellos y cuál su cronología de uso. Este artículo profundiza en estas preguntas a base de un...

How can GenAI foster an inclusive language classroom? A critical language pedagogy perspective from Philippine university teachers

Mark Bedoya Ulla, Ma Jenny C. Advincula, Christine Dawn S. Mombay (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Recent studies have recognized the potential and drawbacks of using generative artificial intelligence (GenAI), especially ChatGPT, in education. However, studies exploring the possibility of GenAI tools in language education are scarce from the perspective of critical pedagogy. This qualitative study explores the perspectives of 14 academics in Philippine higher education institutions (HEIs) regarding the use of GenAI in pedagogical contexts and how such use of these GenAI tools fosters an environment of inclusivity and equality among learners. Employing an open-ended survey questionnaire and follow-up individual interviews, the findings not only highlight the perceived benefits of GenAI...

ChatGPT for interdisciplinary learning: Does it equally benefit STEM and non-STEM students

Gaoxia Zhu, Xiuyi Fan, Chenyu Hou (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

While studies on using generative AI for education are increasing, research on whether it benefits STEM and non-STEM students, who tend to have different technology acceptance and AI literacy, in the interdisciplinary learning context is rare. To respond to this gap, this exploratory quasi-experiment study engaged 130 undergraduate students in interdisciplinary learning for two weeks (some used ChatGPT and some did not). We collected participants' physical, emotional, and cognitive engagement using surveys and quantified their interdisciplinary learning quality based on their written online posts. Results showed that STEM students' physical engagement was higher in the ChatGPT condition,...

Niños bilingües español-neerlandés en Ámsterdam y en Mallorca: evidencia de la importancia del input y del contexto en la adquisición del género gramatical en español

Héctor Cruz Rico, Elisabeth Mauder, Lluis Barceló-Coblijn (2021)

Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas

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Tipo: artículo

Metodología: estudio empírico

Temas: concordancia de género

Resumen:

Por medio de una tarea de elicitación, esta investigación examina el género en español en dos grupos de niños bilingües español-neerlandés que comparten las mismas lenguas pero difieren en la lengua de herencia: un grupo de 10 niños hablantes de herencia de español (edad entre 8 y 10 años) y un grupo de 10 niños hablantes de herencia de neerlandés (entre 8 y 11 años). Estos dos idiomas tienen un sistema de género gramatical binario: mientras que el español diferencia masculino y femenino, el neerlandés diferencia común y neutro. Los resultados muestran que los niños hablantes de herencia de neerlandés no cometieron ningún error y que los niños hablantes de herencia de español tendieron a...

Perceived MOOC satisfaction: A review mining approach using machine learning and fine-tuned BERTs

Xieling Chen, Haoran Xie, Di Zou (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study investigates the application of machine learning and BERT models to identify topic categories in helpful online course reviews and uncover factors that influence the overall satisfaction of learners in massive open online courses (MOOCs). The research has three main objectives: (1) to assess the effectiveness of machine learning models in classifying review helpfulness, (2) to evaluate the performance of fine-tuned BERT models in identifying review topics, and (3) to explore the factors that influence learner satisfaction across various disciplines. The study uses a MOOC corpus containing 102,184 course reviews from 401 courses across 13 disciplines. The methodology involves...

Digital interaction literacy model – Conceptualizing competencies for literate interactions with voice-based AI systems

Astrid Carolus, Yannik Augustin, André Markus (2023)

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

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AI-based systems, and especially voice-based AI systems, are gaining popularity and set novel requirements for end users. Research has provided first approaches postulating and conceptualizing AI-related user competencies. However, voice-based technology utilizing spoken language for operation has been neglected so far. This study presents qualitative interviews of 12 experts in research, development, or design of voice-based AI and explores the skills and competencies which are needed to interact with VBAI in a self-determined and mindful manner. Analyses highlight that, contrary to existing assumptions and providers’ advertising promises, not only language skills but a wider...

Artificial intelligence in education: The three paradigms

Fan Ouyang, Pengcheng Jiao (2021)

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

With the development of computing and information processing techniques, artificial intelligence (AI) has been extensively applied in education. Artificial intelligence in education (AIEd) opens new opportunities, potentials, and challenges in educational practices. In its short history, AIEd has been undergoing several paradigmatic shifts, which are characterized into three paradigms in this position paper: AI-directed, learner-as-recipient, AI-supported, learner-as-collaborator, and AI-empowered, learner-as-leader. In three paradigms, AI techniques are used to address educational and learning issues in varied ways. AI is used to represent knowledge models and direct cognitive learning...

Comparative analysis of NLP-driven MCQ generators from text sources

Asmae Azzi, Ferenc Erdős, Richárd Németh (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The application of learning sciences with technology has been shown to boost learner interactions, yet the potential of advanced tool, particularly those that leverage Natural Language Processing (NLP), still very much untapped in learning contexts. This paper speaks to this age-old problem of generating quality Multiple-Choice questions (MCQs) – a prevalent but time-consuming mode of assessment – via the suggested comprehensive comparison study of template-based AI solutions. The study contrasts general-purpose Large Language Models (LLMs) with specialized MCQ-focused AI programs. The scientific approach employed was quite stringent, where each of the software applications was benchmarked...

Adaptive formative assessment system based on computerized adaptive testing and the learning memory cycle for personalized learning

Albert C.M. Yang, Brendan Flanagan, Hiroaki Ogata (2022)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Computerized adaptive testing (CAT) can effectively facilitate student assessment by dynamically selecting questions on the basis of learner knowledge and item difficulty. However, most CAT models are designed for one-time evaluation rather than improving learning through formative assessment. Since students cannot remember everything, encouraging them to repeatedly evaluate their knowledge state and identify their weaknesses is critical when developing an adaptive formative assessment system in real educational contexts. This study aims to achieve this goal by proposing an adaptive formative assessment system based on CAT and the learning memory cycle to enable the repeated evaluation of...