estudio bibliométrico

Este estudio tiene la intención de realizar un primer estudio para describir el estado actual de la producción científica de la enseñanza y aprendizaje de ELE por hablantes grecoparlantes entre los años 2000 y 2022, mediante una lista de atributos hemerográficos caracterizando la investigación a nivel temático, metodológico, muestral y documental. Para cumplir con el objetivo se ha realizado un estudio exploratorio con estadísticos descriptivos. La muestra estuvo conformada por 81 documentos científicos, recopilados de 5 bases de datos: Hispadoc; Google Académico; Dialnet; EKT y de forma manual. El mapeo permitió revelar el área lingüística; la categoría gramatical...

The impact of artificial intelligence on inclusive education: A systematic review

Verónica Alexandra Melo-López, Andrea Basantes-Andrade, Carla Belén Gudiño-Mejía (2025)

Education Sciences

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Artificial intelligence (AI) is regarded as a pivotal instrument in the realm of inclusive education, offering a means to enhance accessibility and personalize learning experiences for students with disabilities. This study presents a comprehensive and systematic review of the impact of AI on inclusive education, elucidating both its advantages and the challenges associated with its implementation. In accordance with the PRISMA guidelines, studies published between 2021 and 2024 in databases including Scopus, Web of Science, ScienceDirect, and ERIC were subjected to analysis. A bibliometric analysis was conducted using Bibliometrix to identify key trends, and ATLAS.ti was employed to organize topics such as...

Mapping the scaffolding of metacognition and learning by AI tools in STEM classrooms: A bibliometric–systematic review approach (2005–2025)

Maria Tsakeni, Stephen Chinedu Nwafor, Moeketsi Simon Mosia (2025)

Journal of Intelligence

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

This study comprehensively analyses how AI tools scaffold and share metacognitive processes, thereby facilitating students’ learning in STEM classrooms through a mixed-method research synthesis combining bibliometric analysis and systematic review. Using a convergent parallel mixed-methods design, the study draws on 135 peer-reviewed articles published between 2005 and 2025 to map publication trends, author and journal productivity, keyword patterns, and theoretical frameworks. Data were retrieved from Scopus and Web of Science using structured Boolean searches and analysed using Biblioshiny and VOSviewer. Guided by PRISMA 2020 protocols, 24 studies were selected for in-depth qualitative review. Findings show that...

Estudios sobre la enseñanza de E/LE a sinohablantes: Estado cuantitativo de la cuestión

José Miguel Blanco Pena (2019)

SinoELE

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: publicaciones académicas

Resumen:

Hasta ahora se han publicado numerosos trabajos de investigación ―en torno a 1 000 según la base de datos de SinoELE― relacionados con la enseñanza del español como lengua extranjera a hablantes nativos de chino. El objetivo de este estudio es ofrecer un primer resumen y un balance inicial, inédito hasta hora, de todas estas investigaciones desde el punto de vista cuantitativo. Los resultados obtenidos revelan que aspectos como la gramática y su análisis contrastivo, la fonética y la pronunciación, y la expresión escrita han sido ampliamente investigados, mientras que otros como la pragmática, la comprensión auditiva, las competencias digital y no verbal, y el pensamiento crítico de los...

Unveiling the dynamics of generative AI adoption: A business intelligence analysis through topic modeling-based bibliometric study

Hanadi Aldreabi, Mohammad Alhur, Manaf Al-Okaily (2025)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Generative Artificial Intelligence (GenAI) has gained notable attention in educational literature, with supporters and critics expressing varying opinions. Despite its popularity, only a few reviews are available on the subject, with limitations such as small sample sizes and limited scope. This study aims to clarify the major themes influencing the discussion on GenAI in educational contexts. It employs a strong Business Intelligence paradigm and uses bibliometric analysis and topic modeling focusing on the R program's structural topic model (STM) Package, VOSviewer, and bibliometric software. The results highlight the esteem of GenAI in education and evidence of international...

A multi-perspective study on Artificial Intelligence in Education: grants, conferences, journals, software tools, institutions, and researchers

Xieling Chen, Haoran Xie, Gwo-Jen Hwang (2020)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

With the rapid development of artificial intelligence (AI) technologies and a continuously growing interest in their application in educational contexts, there has been significant growth in the scientific literature in relation to the application of AI in education (AIEd). This study aims to present multiple perspectives on the development of AIEd in terms of relevant grants, conferences, journals, software tools, article trends, top issues, institutions, and researchers to provide an overview of AIEd for its further development and implementation. With this study, we contribute to the research field by enabling educators and scholars to understand the status and development of relevant...

Mapping the evolution of AI in education: Toward a co-adaptive and human-centered paradigm

Shihui Feng, Huilin Zhang, Dragan Gašević (2025)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

This study analyzes 2398 research articles published between 2020 and 2024 across eight core venues related to the field of Artificial Intelligence in Education (AIED). Using a three-level knowledge co-occurrence network analysis, this study analyzes the knowledge structure of the field, the evolving knowledge clusters, and the emerging frontiers. The findings reveal that AIED research is centered on developing AI-assisted systems and using AI to support educational analysis, with sustained themes such as intelligent tutoring systems, learning analytics, and natural language processing, alongside rising interest in large language models (LLMs) and generative artificial intelligence (GenAI...

Comparison of learning analytics and educational data mining: A topic modeling approach

David J. Lemay, Clare Baek, Tenzin Doleck (2021)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Educational data mining and learning analytics, although experiencing an upsurge in exploration and use, continue to elude precise definition; the two terms are often interchangeably used. This could be owing to the fact that the two fields exhibit common thematic elements. One avenue to provide clarity, uniformity, and consistency around the two fields, is to identify similarities and differences in topics between the two evolving fields. This paper conducted a topic modeling analysis of articles related to educational data mining and learning analytics to reveal thematic features of the two fields. Specifically, we employed structural topic modeling to identify the topics of the two...

Generative AI in higher education: A bibliometric review of emerging trends, power dynamics, and global research landscapes

Kun Dai, Yabing Liu, Xiaofan Zhang (2026)

Detalles Cerrar ✕

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

The rapid evolution of Generative Artificial Intelligence (GenAI) is reshaping higher education (HE), offering transformative opportunities for academic engagement while posing significant challenges to academic integrity, ethical frameworks, and global research power dynamics. This study maps the recent (2022–2025) research landscape of GenAI in HE through a bibliometric analysis of 2762 articles from the Web of Science Core Collection. Employing multipolarity as an analytical lens, this study examines the power dynamics within this research domain reflected by publication records from different countries (or regions). Findings highlight surging global interest in GenAI in HE, with...

Knowledge tracing: A bibliometric analysis

Tongxi Liu (2022)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

With the advent of artificial intelligence, most of the main techniques have found their way into intelligent education. Knowledge tracing is one of the essential tasks in educational research, which aims to model and qualify students' procedural knowledge acquisition using machine learning or deep learning techniques. While numerous studies have focused on improving models and algorithms of knowledge tracing, few have thoroughly examined the dynamic and complex aspects of this research field. This study conducts a bibliometric analysis that included 383 key articles published between 1992 and 2021 to review the evolutionary nuances of knowledge tracing research. Besides, we employ document...