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IA: Bibliografía: estudio empírico

Nº de publicaciones: 486
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Exploring students’ experience of ChatGPT in STEM education
Federico Valeri, Pernilla Nilsson, Anne-Marie Cederqvist (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT educación primaria y secundaria

Temas IA: chatGPT prompts estudio empírico

Resumen:

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The rapid advances in AI technologies showed a disruptive potential in educational practices, presenting new challenges and generating new opportunities. This phenomenon has been exacerbated since the release of ChatGPT in 2022, which has permanently transformed various educational activities and sparked widespread scientific interest. Research suggests that ChatGPT can help students navigate the complexities of STEM subjects. However, only a few studies have directed attention to the use of ChatGPT in STEM subjects in upper secondary education. With the purpose of addressing this gap, the aim of this study is to explore how students experience ChatGPT for their STEM studies, encompassing...

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AI-based teaching evaluations: How well do they reflect student perceptions?
Yossi Ben Zion, Shir Yakov, Einat Abramovitch (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial procesamiento del lenguaje natural educación superior

Temas IA: IA y educación estudio empírico

Resumen:

Texto completo

This study presents an innovative solution for evaluating university-level teaching quality using artificial intelligence (AI), focusing on key aspects such as clarity of explanation and lecture structure. Traditional student surveys, while valuable, are often subject to biases and lack the necessary granularity, creating a need for objective, scalable solutions that provide consistent results. We propose an automated framework utilizing advanced natural language processing (NLP) models to assess teaching quality based on lecture transcripts. The methodology combines AI-driven transcription, machine learning-based assessments, and correlation with institutional student evaluations to...

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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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English grammar multiple-choice question generation using Text-to-Text Transfer Transformer
Peerawat Chomphooyod, Atiwong Suchato, Nuengwong Tuaycharoen (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial enseñanza/aprendizaje de la gramática creación de materiales

Temas IA: IA y enseñanza-aprendizaje de lenguas IA y creación de materiales IA y evaluación

Resumen:

Texto completo

English grammar multiple-choice questions (MCQs) can be automatically generated to reduce preparation time. Previous studies have focused on semiautomated methods based on the transformation of human-made sentences/articles into MCQs, owing to which the number of generated questions is dependent on the size of a given text corpus. This study proposes an artificial intelligence-assisted MCQ generation system that increases the number of generable questions using controllable text generation techniques. In this system, the questions for MCQs are generated using a text generation model trained using the Text-to-Text Transfer Transformer (T5) architecture, a powerful deep learning model for...

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How to train your dragon: Evaluating prompting and fine-tuning for GPT-based item generation in L2 listening assessment
Vahid Aryadoust, Joann Wong (2026)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial comprensión oral evaluación

Temas IA: IA y enseñanza-aprendizaje de lenguas IA y evaluación IA y creación de materiales

Resumen:

Texto completo

Recent advances in large language models (LLMs), notably GPT models, have introduced new possibilities for automatic item generation (AIG) through prompt engineering. Although iterative prompt refinement can yield measurable improvements, this process eventually plateaus, as outputs remain inconsistent or misaligned with assessment constructs. This study reports an experimental comparison of prompting and fine-tuning to advance AIG for L2 listening assessment. First, we employed prompting and refined the instruction design over three successive iterations to determine an optimized prompt. We then fine-tuned GPT-4.1 using the same optimized prompt, holding prompt design constant to isolate...

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Exploring student and teacher perceptions of ChatGPT use in higher education: A Q-Methodology study
Alma S. Espartinez (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

This study examined and categorized the views of students and teachers in Philippine Higher Education Institutions (HEIs) and correlated those with similar patterns of views regarding ChatGPT usage. While previous studies explored ChatGPT's risks and benefits, a significant gap remains in understanding how college students and educators perceive this technology for its culturally relevant and equitable integration into teaching and learning. Using Q-Methodology, 27 participants (15 students and 12 professors) were surveyed, interviewed, and invited to rank-order 36 statements about using ChatGPT. Three factors emerged from using factor analysis: Ethical Tech Guardians, Balanced Pedagogy...

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Generative AI in higher education: A global perspective of institutional adoption policies and guidelines
Yueqiao Jin, Lixiang Yan, Vanessa Echeverria (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior innovación educativa

Temas IA: IA y educación estudio empírico

Resumen:

Texto completo

Integrating generative AI (GAI) into higher education is crucial for preparing a future generation of GAI-literate students. However, a comprehensive understanding of global institutional adoption policies remains absent, with most prior studies focusing on the Global North and lacking a theoretical lens. This study utilizes the Diffusion of Innovations Theory to examine GAI adoption strategies in higher education across 40 universities from six global regions. It explores the characteristics of GAI innovation, including compatibility, trialability, and observability, and analyses the communication channels and roles and responsibilities outlined in university policies and guidelines. The...

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GLAT: The generative AI literacy assessment test
Yueqiao Jin, Roberto Martinez-Maldonado, Dragan GaševiΔ‡ (2025)
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:

Texto completo

The rapid integration of generative artificial intelligence (GenAI) technology into education requires precise measurement of GenAI literacy to ensure that learners and educators possess the skills to engage with and critically evaluate this transformative technology effectively. Existing instruments often rely on self-reports, which may be biased. In this study, we present the GenAI Literacy Assessment Test (GLAT), a 20-item multiple-choice instrument developed following established procedures in psychological and educational measurement. Structural validity and reliability were confirmed with responses from 355 higher education students using classical test theory and item response theory...

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From intuition to action: Exploring teachers’ ethical awareness in the use of AI tools in education
Chun Sing Maxwell Ho, John Chi-Kin Lee (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ética creencias y actitudes de los profesores

Temas IA: ética de la IA estudio empírico

Resumen:

Texto completo

This study investigates how teachers perceive and understand ethical issues arising from the use of artificial intelligence (AI) in education, and identifies the factors influencing their ethical awareness. Grounded in the Social Intuitionist Model (SIM), which emphasizes intuitive and emotionally driven moral judgments, the research explores teachers’ ethical perceptions as shaped by classroom experiences (micro/meso contexts) and broader social, cultural, and institutional influences (macro contexts) surrounding AI integration. Using a case study approach, data were collected through semi-structured interviews with 26 teachers from primary and secondary schools, selected for their...

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AI-based multidisciplinary framework to assess the impact of gamified video-based learning through schema and emotion analysis
Anjana Junius Vidanaralage, Anuja Thimali Dharmaratne, Shamsul Haque (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial gamificación materiales audiovisuales

Temas IA: IA y aprendizaje estudio empírico

Resumen:

Texto completo

Background: As a natural and continual process, the initial learning stages encompass mastering and recalling basic facts. The process proves effective with the integration of new information with pre-existing knowledge characterised as schema to facilitate memory encoding. Additionally, emotions also have the ability to modulate human cognition in terms of learning and memory. The recent advent of gamification in e-learning, which has garnered much scholarly and industrial interest, necessitates a thorough examination between video-based learning and its subsequent implications on schema, emotions, and gamification. Objectives: The current multidisciplinary research triangulated cognitive...

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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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