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  • estudio empírico

IA: Bibliografía: estudio empírico

Nº de publicaciones: 486
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An interactive test dashboard with diagnosis and feedback mechanisms to facilitate learning performance
Chih-Ming Chen, Jung-Ying Wang, Li-Chieh Hsu (2021)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial tecnología educativa evaluación

Temas IA: IA y evaluación IA y aprendizaje estudio empírico

Resumen:

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This study developed an interactive test dashboard with diagnosis and feedback mechanisms (ITD-DFM) that can generate visualized, rich, and high-quality test feedback for each learner’s learning reflection and review based on simultaneously considering test response time and correctness to assist students’ learning. A quasi-experimental research was conducted with 50 Grade 8 students from two classes in a public junior high school in Taiwan to assess the learning performance of ITD-DFM. One class with 26 students was assigned to the experimental group using the ITD-DFM to support learning, whereas the other class with 24 students was assigned to the control group using the traditional test...

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Modeling generative AI adoption in higher education: An integrated TAM–TPB–SDT framework with SEM validation
Dina Tbaishat, Omar AlFandi, Faten Hamad (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

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

Temas IA: IA y educación estudio empírico

Resumen:

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This study investigates the determinants of university students' adoption of generative artificial intelligence (GAI) tools in higher education. Integrating the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and Self-Determination Theory (SDT), it develops and tests a complete model that captures cognitive, social, and motivational influences on adoption. A cross-sectional survey was conducted among 517 undergraduate and postgraduate students at Jordanian universities. The data were analyzed using structural equation modeling (SEM) with a two-step approach: confirmatory factor analysis (CFA) to validate the measurement model, followed by SEM to test the...

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Perceptions and use of metaverse in higher education: A descriptive study in China and Spain
Yinglong Qiu, Rosa Isusi-Fagoaga, Adela García-Aracil (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial realidad virtual educación superior

Temas IA: IA y educación estudio empírico

Resumen:

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The coronavirus disease – 2019 pandemic has accelerated the proliferation of virtual technologies and had have an enormous impact on education. In this paper, we analyse teachers’ perceptions about the use of the metaverse in educational practices and how it contributes to the local development. We focused our study in China and Spain as reference countries in the metaverse, but whose collaboration, in this arena, is not significant. For that purpose, we designed a questionnaire to explore the views of 20 teachers from each of the two universities selected, one in China and the other one in Spain, which applies an innovation and entrepreneurship education. The results show that the...

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AI literacy-related domains and AI-TPACK readiness among preservice mathematics teachers: A factor-informed structural equation modelling study
Moeketsi Mosia, Fadip Audu Nannim, Felix Egara (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial formación de profesores alfabetización en IA

Temas IA: IA y educación estudio empírico

Resumen:

Texto completo

In this factor-informed exploratory CFA/SEM study, AI-literacy-related domains were treated as theoretically informed and empirically tested predictors of AI-TPACK readiness rather than as fully validated independent latent variables. Artificial intelligence (AI) is increasingly entering mathematics education, making it important to understand how preservice teachers become ready to integrate AI-supported tools pedagogically. This study examined AI-TPACK readiness among 130 preservice mathematics teachers at a South African public university. Exploratory factor analysis using polychoric correlations indicated that the AI-TPACK readiness items were essentially unidimensional; one weak design...

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Exploring ChatGPT adoption among business and management students through the lens of diffusion of Innovation Theory
Alaa Amin Abdalla, Mohd Abass Bhat, Chandan Kumar Tiwari (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT educación superior

Temas IA: chatGPT estudio empírico

Resumen:

Texto completo

Purpose: this study aims to present an innovative approach (Diffusion of Innovation Theory) to investigate the adoption of ChatGPT by business and management students. The theory emphasizes integrating the variables Viz. relative advantage, compatibility, complexity, trialability, observability, attitude, and intention to adopt ChatGPT in the context of management education. Method: ology: a non-probability purposive sample of 383 students enrolled in management of Indian public and private institutions was taken to conduct survey to administer questionnaires. Partial Least Square-Structural Equation Modelling was employed to analyze the data using Smart PLS software. Findings: the findings...

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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)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

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:

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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....

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Is GPT-4 fair? An empirical analysis in automatic short answer grading
Luiz Rodrigues, Cleon Xavier, Newarney Costa (2025)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación grandes modelos de lenguaje

Temas IA: IA y evaluación modelos de lenguaje (LLM) ética de la IA

Resumen:

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Short open-ended questions represent a central resource in formative and summative assessments both face-to-face and online settings, ranging from elementary to higher education. However, grading these questions remains challenging for instructors, raising attention to the field of Automatic Short Answer Grading (ASAG). While ASAG has yielded valuable contributions to learning analytics, it often faces generalizability issues. Accordingly, the rapid advancement in Large Language Models (LLMs) has motivated their adoption to empower ASAG systems. Despite that, previous research has not investigated whether LLMs are fair graders in the context of ASAG. Therefore, this paper presents an...

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Digital equity and computational thinking privilege: The case of first-year engineering and computing students' attitudes towards artificial intelligence
Noemi V. Mendoza Diaz, So Yoon Yoon, Nancy Gertrudiz Salvador (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial pensamiento computacional inclusión y equidad

Temas IA: IA y educación estudio empírico

Resumen:

Texto completo

Attitudes can constitute barriers to engineering, computing, and artificial intelligence (AI) enculturation, contributing to and resulting from digital inequity. Building upon research on computational thinking privilege, we explored first-year students' (a) perceived future impact of AI on their career prospects and (b) backgrounds (e.g., gender, underrepresented minority (URM) status, and First-Generation status) associated with their attitudes toward AI, computational thinking, and course performance. Computational thinking was measured using our newly validated Engineering Computational Thinking Diagnostic (ECTD), while course performance was assessed based on final grades in an...

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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)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA diseño curricular

Temas IA: IA y educación estudio empírico

Resumen:

Texto completo

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...

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Designing large language model-based agents with 5E framework for ESL learners’ grammar acquisition
Xiaoxiao Yang, Xiaojing Weng, Mengyao Yang (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial enseñanza/aprendizaje de la gramática grandes modelos de lenguaje

Temas IA: IA y enseñanza-aprendizaje de lenguas modelos de lenguaje (LLM) chatbots

Resumen:

Texto completo

This study examines how large language models (LLMs) aid English as a Second Language (ESL) learners in acquiring grammar. Two artificial intelligence (AI) agents were designed: one as a conventional English teacher and another utilizing the 5E framework (engage, explore, explain, elaborate, evaluate) for inquiry-based learning (IBL). Thirty-seven ESL students were randomly divided into two groups: 17 in the AI-facilitated conventional English teacher group and 20 in the AI-facilitated 5E English teacher group. Pre- and post-tests, along with interviews, were used to investigate students’ intrinsic motivation, cognitive changes, and performance transformation with the designed AI agents....

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Etiquetas

  • análisis de producción de IA (54)
  • catálogo de herramientas (15)
  • chatbots (68)
  • chatGPT (155)
  • conceptos básicos (38)
  • estudio empírico (487)
  • ética de la IA (119)
  • guía (26)
  • IA y aprendizaje (159)
  • IA y creación de materiales (63)
  • IA y educación (360)
  • IA y ELE (31)
  • IA y enseñanza-aprendizaje de lenguas (208)
  • IA y evaluación (140)
  • IA y variedades del español (1)
  • modelos de lenguaje (LLM) (87)
  • prompts (65)
  • revisión de bibliografía (136)
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