Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial ChatGPT tecnología educativa

Temas IA: IA y educación revisión de bibliografía

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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...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial enseñanza en línea e híbrida educación superior

Temas IA: chatbots IA y educación estudio empírico

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This study examines how a large-scale distance learning institution in the UK designed, implemented, and evaluated an artificial intelligence digital assistant (AIDA) using Sharples' (2025) embedded systems approach. Through six iterative Design-Based Research studies over 18 months, involving 498 students and 20 staff, we explored three questions: (1) how perceptions of AIDA change with experience; (2) its impact on engagement and learning; and (3) how GenAI can be responsibly deployed at a system level. Early Studies 1–3 gathered student preferences for AIDA's design and identified benefits of 24/7, context-specific support alongside concerns over ethics, academic integrity, and data...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial feedback/retroalimentación enseñanza en línea e híbrida

Temas IA: IA y educación IA y aprendizaje revisión de bibliografía

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Feedback is an essential component of scaffolding for learning. Feedback provides insights into the assistance of learners in terms of achieving learning goals and improving self-regulated skills. In online courses, feedback becomes even more critical since instructors and students are separated geographically and physically. In this context, feedback allows the instructor to customize learning content according to the students' needs. However, giving feedback is a challenging task for instructors, especially in contexts of large cohorts. As a result, several automatic feedback systems have been proposed to reduce the workload on the part of the instructor. Although these systems have...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial analítica del aprendizaje ética

Temas IA: IA y educación ética de la IA revisión de bibliografía

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The rapid expansion of Learning Analytics (LA) and Artificial Intelligence in Education (AIED) offers new scalable, data-intensive systems but raises concerns about data privacy and agency. Excluding stakeholders—like students and teachers—from the design process can potentially lead to mistrust and inadequately aligned tools. Despite a shift towards human-centred design in recent LA and AIED research, there remain gaps in our understanding of the importance of human control, safety, reliability, and trustworthiness in the design and implementation of these systems. We conducted a systematic literature review to explore these concerns and gaps. We analysed 108 papers to provide insights...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial educación primaria y secundaria tecnología educativa

Temas IA: IA y educación revisión de bibliografía

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This umbrella review examines the current state of artificial intelligence in education (AIEd) in K-12 by synthesizing 102 systematic reviews. We described their characteristics, built a framework to summarize the review foci, synthesized the major findings, and examined their quality. The main findings are as follows: (a) AIEd Review Framework: We developed a framework that maps the territory of AIEd to understand the research topics distributed and interconnected. (b) Innovation: AI has been applied to support teachers’ instruction, personalize learning, enhance engagement and collaboration, automate assessment and feedback, and manage educational content, reflecting its multifaceted...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA creencias y actitudes de los profesores

Temas IA: IA y educación estudio empírico

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The emergence of artificial intelligence (AI) as a subject to be incorporated into K-12 educational levels places new demand on relevant stakeholders, especially teachers that drive the teaching and learning process. It is therefore important to understand how ready teachers are to teach the emerging subject as the success of AI education would probably be closely dependent on the readiness of teachers. As a result, this study presents an insight into factors influencing the behavioural intention and readiness of Nigerian in-service teachers to teach artificial intelligence. A total of 368 teachers, from elementary to high school participated in the study. We utilised quantitative...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial ChatGPT educación superior

Temas IA: chatGPT IA y educación revisión de bibliografía

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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...

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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

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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...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial enseñanza en línea e híbrida teorías de aprendizaje

Temas IA: IA y educación

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The Community of Inquiry (CoI) framework is widely used to guide and explain learning in online and blended environments. However, generative artificial intelligence (GenAI) challenges a key assumption in CoI research and practice: that indicators of presence can be attributed primarily to human learners, instructors, and their interactions. GenAI can produce fluent discourse that resembles strong cognitive, social, or teaching presence. Yet such discourse may not reflect learners' thinking, relationships, or regulatory intentions. To date, research often frames GenAI as a tool, a dialogic partner, or a possible fourth presence. These views, however, do not fully capture GenAI's pervasive...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial ética tecnología educativa

Temas IA: IA y educación ética de la IA

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There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics (FATE) of educational interventions supported by the use of Artificial Intelligence (AI) algorithms. One of the emerging methods for increasing trust in AI systems is to use eXplainable AI (XAI), which promotes the use of methods that produce transparent explanations and reasons for decisions AI systems make. Considering the existing literature on XAI, this paper argues that XAI in education has commonalities with the broader use of AI but also has distinctive needs. Accordingly, we first present a framework, referred to as XAI-ED, that considers six key aspects in relation to explainability for...

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