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IA: Bibliografía: IA y educación

Nº de publicaciones: 360
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The AI literacy heptagon: A structured approach to AI literacy in higher education
Veronika Hackl, Alexandra Elena Müller, Maximilian Sailer (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA educación superior

Temas IA: IA y educación conceptos básicos revisión de bibliografía

Resumen:

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The integrative literature review addresses the conceptualization and implementation of AI Literacy (AIL) in Higher Education (HE) by examining recent research literature. Through an analysis of publications (2021–2024), we explore (1) how AIL is defined and conceptualized in current research, particularly in HE, and how it can be delineated from related concepts such as Data Literacy, Media Literacy, and Computational Literacy; (2) how various definitions can be synthesized into a comprehensive working definition, and (3) how scientific insights can be effectively translated into educational practice. Our analysis identifies seven central dimensions of AIL: technical, applicational,...

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Knowledge tracing: A bibliometric analysis
Tongxi Liu (2022)
Computers & Education: Artificial Intelligence
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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:

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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...

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Surfing the technology wave: An international perspective on enhancing teaching and learning in accounting
Maryam Omer Madhaffar Al Ghatrifi, Jawaher Salim Sultan Al Amairi, Mohammed Muneerali Thottoli (2023)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa educación superior

Temas IA: IA y educación revisión de bibliografía chatGPT

Resumen:

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Purpose: This study aims to find and assess the literature on technology (Software, artificial intelligence, blockchain, cloud, big data, enterprise resource planning, information communication technology, data analytics, mobile computing, fintech, internet of things, and computer assisted auditing techniques) in accounting teaching and learning. Design/methodology/approach: A comprehensive analysis of the literature on the subject was conducted by the authors, who consider 66 papers that were found in the Scopus database. To analyze and outline potential areas for future research in this area, the authors also used a bibliometric analysis to pinpoint the key features of these...

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What do university students know about Artificial Intelligence? Development and validation of an AI literacy test
Marie Hornberger, Arne Bewersdorff, Claudia Nerdel (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA educación superior

Temas IA: IA y educación estudio empírico

Resumen:

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Artificial Intelligence (AI) strongly influences our daily lives and work environments. To deal with the challenges as well as to pick up on the opportunities associated with AI, university students need to acquire a basic understanding of AI (so-called AI literacy). To design effective study programs that foster AI competencies, it is necessary to assess the state of students' AI literacy. While there already are some AI literacy tests available, many instruments focus on specific AI courses, rely primarily on self-assessment, or do not provide detailed psychometric information. This study aims to develop and validate an AI literacy test and to provide initial insights into the current...

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Understanding the practices, perceptions, and (dis)trust of generative AI among instructors: A mixed-methods study in the U.S. higher education
Wenhan Lyu, Shuang Zhang, Tingting Chung (2025)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial creencias y actitudes de los profesores profesorado

Temas IA: IA y educación estudio empírico

Resumen:

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Generative AI (GenAI) has brought opportunities and challenges for higher education as it integrates into teaching and learning environments. As instructors navigate this new landscape, understanding their engagement with and attitudes toward GenAI is crucial. We surveyed 178 instructors from a single U.S. university to examine their current practices, perceptions, trust, and distrust of GenAI in higher education in March 2024. While most surveyed instructors reported moderate to high familiarity with GenAI-related concepts, their actual use of GenAI tools for direct instructional tasks remained limited. Our quantitative results show that trust and distrust in GenAI are related yet distinct...

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Evaluating the academic outcome of AI-powered joint support for at-risk students
Ning Xu, Fengjun Wu, Zhiyuan Liu (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial analítica del aprendizaje educación superior

Temas IA: IA y educación estudio empírico

Resumen:

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Despite the growing global adoption of AI-powered academic advice, its impact remains underexplored. This study addresses this gap by evaluating the academic performance of at-risk students who receive AI-driven joint support. We proposed a practical framework for assessing academic outcomes by leveraging AI as a decision-making tool for advisors. Our study employs a quasi-experimental difference-in-differences (DID) methodology over three semesters. We compare the academic outcomes of at-risk students in pilot departments who received the intervention (treatment group, N = 516) with all other students in the analytic sample (control group, N = 12,004), supplemented with robustness checks....

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When the algorithm enters the classroom: A critical integrative review of large language models, nursing education structural gaps, and the reconstitution of professional identity
Yanjie Sun, Hongzhou Li, Xiaohui Tao (2026)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial educación superior grandes modelos de lenguaje

Temas IA: modelos de lenguaje (LLM) IA y educación revisión de bibliografía

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Large language models (LLMs) are being integrated into nursing education at a pace that outstrips the field's capacity to evaluate their consequences. Existing syntheses have mapped what LLMs can do in nursing contexts. Among those identified in this review, none has examined how their integration affects the professional development processes through which nursing expertise is formed. This critical integrative review addresses that gap.Following Whittemore and Knafl’s (2005) five-stage framework, we systematically searched four databases (PubMed/MEDLINE, Web of Science, Scopus, CINAHL) for studies published between January 2017 and December 2025, yielding 489 included studies from 47...

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A personalized learning system-supported professional training model for teachers' TPACK development
Pawat Chaipidech, Niwat Srisawasdi, Tanachai Kajornmanee (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial formación de profesores profesorado

Temas IA: IA y educación estudio empírico

Resumen:

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In contrast to traditional teacher professional development (TPD), the importance of individualized professional learning and expert content delivery is increasingly focused on as a challenge to transform the TPD. This study investigated the effects of an andragogical design of TPD with an embedded personalized learning system on technological pedagogical and content knowledge (TPACK) of in-service teachers. One hundred sixty-one in-service science teachers from 92 secondary schools located Northeastern region of Thailand voluntarily participated in the proposed TPD program. Results indicated that the in-service teachers significantly improved their TPACK. These findings add to the limited...

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What motivates future teachers? The influence of Artificial Intelligence on student teachers' career choice
Judit Martínez-Moreno, Dominik Petko (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial formación de profesores motivación

Temas IA: IA y educación estudio empírico

Resumen:

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Artificial Intelligence in Education (AIEd) is reshaping not only the educational landscape but also potentially influencing the motivations of aspiring teachers. This paper explores whether considerations related to AIEd play a role in student teachers' decision to become teachers. For this aim, the study introduces a new AI subscale within the (D)FIT-Choice scale's Social Utility Value (SUV) factor and validates its effectiveness with a sample of 183 student teachers. Descriptive statistics reveal high mean scores for traditional motivators like Intrinsic Value Teaching, while AI-related factors, although considered, exhibit lower influence. A noticeable disconnection exists between...

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Designing a model of sustainable education based on artificial intelligence in higher education
kamran Bagherimajd, Kosar khajedad (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial sostenibilidad educación superior

Temas IA: IA y educación estudio empírico

Resumen:

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Artificial intelligence (AI) in higher education (HE) plays a role in promoting the sustainability of society by fostering innovation and preparing students for the digital age. In this regard, the aim of the present research has been to design an AI-based sustainable education (SE) model in HE. The research method was a monomethod design with multiple sequential, qualitative and qualitative phases. In the first part of the qualitative section, the meta-synthesis approach has been used in accordance with the findings of Springer, Emerald, and Elsevier international journals from 2000 to 2024. A total of 213 articles were reviewed and 39 articles were entered the final analysis. In the...

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  • análisis de producción de IA (54)
  • catálogo de herramientas (15)
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