revisión de bibliografía

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA inclusión y equidad

Temas IA: IA y educación revisión de bibliografía

Resumen:

As artificial intelligence (AI) becomes increasingly integrated into K–12 education, concerns about equity and access have grown. This scoping review explores how inclusive AI curricula are designed, implemented, and evaluated in educational settings. Guided by three research questions, we analyzed 17 empirical studies published between 2013 and 2024, focusing on (1) the contexts and characteristics of inclusive AI curricula, (2) instructional strategies that promote broader participation, and (3) learning outcomes associated with these approaches. The findings reveal five key instructional principles (identity, technology, design, content development, and sense of belonging) alongside...

Artificial intelligence in multimodal learning analytics: A systematic literature review

Mehrnoush Mohammadi, Elham Tajik, Roberto Martinez-Maldonado (2025)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial analítica del aprendizaje multimodalidad

Temas IA: IA y educación revisión de bibliografía

Resumen:

The proliferation of educational technologies has generated unprecedented volumes of diverse, multimodal learner data, offering rich insights into learning processes and outcomes. However, leveraging this complex, multimodal data requires advanced analytical methods. While Multimodal Learning Analytics (MMLA) offers promise for exploring this data, the potential of Artificial Intelligence (AI) to enhance MMLA remains largely unexplored. This paper bridges these two evolving domains by conducting the first systematic literature review at the intersection of AI and MMLA, analyzing 43 peer-reviewed papers from 11 reputable databases published between 2019 and 2024. The findings indicate a...

Personalized feedback in digital learning environments: Classification framework and literature review

Uwe Maier, Christian Klotz (2022)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial feedback/retroalimentación tecnología educativa

Temas IA: IA y aprendizaje revisión de bibliografía

Resumen:

Digital learning technologies offer many opportunities to personalize instruction and learning in K-12 and higher education. In the last ten years, a growing body of research described personalized feedback implementations and investigated their effects on educational outcomes. Building on personalized education and adaptive learning systems models, this review provides an analytic framework to summarize key features of personalized feedback implementations and main empirical results. The systematic literature search resulted in 39 studies published in the last ten years. We found that scholars developed and investigated personalized feedback on the microscale, mesoscale, and macroscale of...

A scoping literature review of prompt engineering for bridging students AI literacy in higher education

Fadlan Nugraha Nur Pangestu, Ida Hamidah, Lilis Widaningsih (2026)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA educación superior

Temas IA: prompts IA y educación revisión de bibliografía

Resumen:

Generative Artificial Intelligence (GenAI) has been widely used in education, yet many students still lack the skills to fully leverage its potential. A systematic search was conducted across three academic databases from 2020 to 2025. This scoping review explores the evolving landscape of GenAI applications and introduces prompt engineering as a critical competency students need to develop to bridge their AI literacy and enhance their technical skills and critical thinking in higher education. A search across Scopus, PubMed, and ERIC yielded 76 studies that were systematically reviewed to identify relevant research. The PRISMA-ScR guidelines were used to determine which studies met the...

Categorizing learning analytics models according to their goals and identifying their relevant components: A review of the learning analytics literature from 2011 to 2019

Benazir Quadir, Maiga Chang, Jie Chi Yang (2021)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial analítica del aprendizaje tecnología educativa

Temas IA: IA y educación revisión de bibliografía

Resumen:

This study aimed to categorize learning analytics (LA) models and identify their relevant components by analyzing LA-related articles published between 2011 and 2019 in international journals. A total of 101 articles discussing various LA models were selected. These models were characterized according to their goals and components. A qualitative content analysis approach was used to develop a coding scheme for analyzing the aforementioned models. The results reveal that the studied LA models belong to five categories, namely performance, meta-cognitive, interactivity, communication, and data models. The majority of the selected LA-related articles were data models, followed by performance...

Predicting student performance: A comprehensive review of machine learning, deep learning, and explainable AI approaches

Salma Boujmiraz, Hassane Darhmaoui, Ahmed Drissi el maliani (2026)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial analítica del aprendizaje tecnología educativa

Temas IA: IA y educación revisión de bibliografía

Resumen:

The application of Machine Learning (ML) and Deep Learning (DL) in Educational Data Mining (EDM) is revolutionizing the educational field. Researchers have been particularly interested in predicting student performance at an early stage. These early predictions can significantly benefit students’ learning experiences, allowing educators and other stakeholders to plan timely interventions. This review examines studies employing these technologies, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure the approach is transparent and replicable. This systematic review begins with preselecting a total of 281 records that go through a...

Systematically visualizing ChatGPT used in higher education: Publication trend, disciplinary domains, research themes, adoption and acceptance

Ting Ma (2025)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial ChatGPT educación superior

Temas IA: chatGPT IA y educación revisión de bibliografía

Resumen:

Since it was released in November 2022, ChatGPT has been exerting revolutionary influence on the realm of higher education. In order to obtain a comprehensive understanding of the research landscape, we conduct a systematic literature review on the studies of ChatGPT used in higher education. Both quantitative and qualitative methods were adopted to bibliometrically examine the included literature selected from Web of Science and Scopus through the PRISMA protocol. Tools of VOSviewer and CitNetExplorer were employed to visualize the citation information. Our findings showed that the recent two years witnessed an ever-growing popularity of this research theme. Citation information analysis...

A systematic review of learning task design for K-12 AI education: Trends, challenges, and opportunities

Li Li, Fengchao Yu, Enting Zhang (2024)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA educación primaria y secundaria

Temas IA: IA y educación revisión de bibliografía

Resumen:

This systematic review investigates learning task design for K-12 AI education, aiming to provide an overview of the status of AI education and identify trends, challenges, and opportunities. Through an analysis of 47 empirical studies, the review presents, synthesizes, and evaluates the educational theories underpinning the learning task design, the content, the pedagogies used for teaching, as well as the measurement and outcomes of the existing literature on AI education programs in K-12 settings. The principal findings reveal a diverse landscape of learning task design for teaching AI to K-12 students. Positive outcomes underscore the effectiveness of well-crafted hands-on tasks in...

Artificial Intelligence teaching and learning in K-12 from 2019 to 2022: A systematic literature review

Saman Rizvi, Jane Waite, Sue Sentance (2023)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA educación primaria y secundaria

Temas IA: IA y educación revisión de bibliografía

Resumen:

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There is an emerging interest in Artificial Intelligence (AI) teaching and learning in the K-12 setting. While some work has explored the educational content and resources used for this purpose, there is limited empirical evidence on the effectiveness of such AI education interventions. The primary objective of the systematic literature review presented in this paper was to examine research with empirical evidence reporting learning outcomes for teaching and learning AI in K-12 between 2019 and 2022. Through a rigorous selection process, a total of 28 studies were included in the final analysis out of 8,175 papers identified from five research databases using specific search terms....

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 tecnología educativa analítica del aprendizaje

Temas IA: IA y educación revisión de bibliografía

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...