IA y educación

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior creencias y actitudes de los profesores

Temas IA: IA y educación estudio empírico

Resumen:

In recent months, Artificial Intelligence (AI) has had, and will continue to have, a dramatic impact on Higher Education (HE). A study conducted by researchers at a leading university in Australia surveyed 30 of their teaching staff, drawn predominantly from their teaching academy, and interviewed eight of them regarding the impact of AI on HE. Data were analyzed using the procedures of Inductive Thematic Analysis and revealed a lack of any homogenous sentiment around AI in HE and much ambiguity regarding best practice regarding recent technological developments. The results indicate concerns exist around concepts relating to academic integrity, however, these concerns may be exaggerated....

The AI literacy heptagon: A structured approach to AI literacy in higher education

Veronika Hackl, Alexandra Elena Müller, Maximilian Sailer (2026)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA educación superior

Temas IA: IA y educación conceptos básicos revisión de bibliografía

Resumen:

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,...

AI proctoring for offline examinations with 2-Longitudinal-Stream Convolutional Neural Networks

Jason Tong Liu (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación tecnología educativa

Temas IA: IA y evaluación IA y educación

Resumen:

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In recent years, Artificial Intelligence (AI)-assisted proctoring techniques have developed rapidly, but most are for online exams. On the contrary, this study aims to explore the AI-based visual proctoring approach through surveillance cameras in real-world offline examination rooms (usually classrooms) to assist proctoring, with contributions from three perspectives: First, to proctor in the offline examination rooms, a visual assessment system is introduced that can be applied in the majority of various classrooms for proctoring after corresponding model training. Second, the new proposed 2-Longitudinal-Stream Convolutional Neural Networks model can adequately adapt to the large-...

Needs and requirements for an additional AI qualification during dual vocational training: Results from studies of apprentices and teachers

Karin Julia Rott, Lena Lao, Efthymia Petridou (2022)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA diseño curricular

Temas IA: IA y educación estudio empírico

Resumen:

The integration of artificial intelligence (AI) in application-based contexts has created the need for skilled workers with AI knowledge and competencies. In order to meet this demand, it is necessary to integrate AI into vocational education and training (VET) in Germany, for example in the form of an additional AI qualification. Such an additional qualification in the field of AI in the VET system is innovative and comparatively new. Therefore, this article explores the views of both teachers and apprentices regarding the requirements for an additional AI qualification, - perspectives which have not been sufficiently researched, yet. Results from a mixed-methods needs analysis based on...

Pre-service teachers preparedness for AI-integrated education: An investigation from perceptions, capabilities, and teachers’ identity changes

Lihang Guan, Yue Zhang, Mingyue Michelle Gu (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial formación de profesores creencias y actitudes de los profesores

Temas IA: IA y educación estudio empírico

Resumen:

Artificial intelligence (AI) has provided numerous learning benefits due to and beyond its personalization capabilities. AI significantly alters the interaction dynamics among students, teachers, and technology, necessitating the collaborative integration of AI in education instead of mere mechanical use. This study investigates pre-service teachers' perceptions and capabilities within the framework of social cognitive theory, focusing on their attitudes, intentions, self-efficacy, and AI literacy for effective AI integration. We discuss how these perceptions and capabilities help pre-service teachers prepare for the changing identities of being a teacher in AI-integrated education....

Design and implementation of Math City: An inquiry-based metaverse platform for mathematics education

Manpreet Singh, Daner Sun, Yin Yang (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial realidad virtual juegos

Temas IA: IA y educación estudio empírico

Resumen:

Responding to the need for innovative educational environments in higher education, this study presents “Math City”, an immersive Metaverse platform designed to enhance inquiry-based mathematics learning and develop 21st-century skills. Traditional university-level mathematics courses often encounter difficulties in sustaining student engagement and fostering the application of abstract concepts, such as the properties of three-dimensional shapes. To address these challenges, Math City was designed using the Unity game engine, which incorporates the 5E instructional model (Engage, Explore, Explain, Elaborate, and Evaluate) alongside gamification elements such as quests, rewards, and badges...

Social and cognitive drivers of generative AI adoption: A unified socio-cognitive model for engineering education

Mazen Abdulwahab Asag, Md Abdullah Al Mamun (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior creencias y actitudes de los estudiantes

Temas IA: IA y educación estudio empírico

Resumen:

Generative artificial intelligence (AI) redefines cognitive and social processes in learning environments, yet its psychological and contextual determinants in developing countries remain underexplored. This study investigates engineering students’ adoption of generative AI by integrating the Technology Acceptance Model (TAM) with the Unified Theory of Acceptance and Use of Technology (UTAUT) to develop a unified socio-cognitive framework. Survey data from 378 Bangladeshi engineering students were analysed using PLS-SEM and multi-group comparisons to evaluate structural, mediating, and demographic effects. Results demonstrate that behavioural intention is the strongest predictor of AI use,...

Evaluating the academic outcome of AI-powered joint support for at-risk students

Ning Xu, Fengjun Wu, Zhiyuan Liu (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial analítica del aprendizaje educación superior

Temas IA: IA y educación estudio empírico

Resumen:

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....

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)

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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

Resumen:

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...

Educational applications of artificial intelligence in simulation-based learning: A systematic mapping review

Chih-Pu Dai, Fengfeng Ke (2022)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa evaluación

Temas IA: IA y educación revisión de bibliografía

Resumen:

The field of education has experienced a transformation as artificial intelligence (AI) becomes increasingly applicable for learning purposes. AI has the potential to transform the social interactions in educational contexts among learners, teachers, and technologies. In this systematic mapping review, we focus on mapping and framing trends for educational applications of AI in simulation-based learning. Fifty-nine studies met the inclusion and exclusion criteria. We coded and analyzed six mapped categories in this literature review: (1) the year-of-study trend, (2) methods, (3) AI technologies, (4) simulation, (5) study trends, and (6) learning principles and theories. To provide nuanced...