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IA: Bibliografía: estudio empírico

Nº de publicaciones: 486
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An exploratory machine learning approach to understanding determinants of future ChatGPT use in higher education
Chaman Verma, Deepak Kumar (2026)
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

AI tools such as ChatGPT are used in the higher education increasingly yet the limited empirical evidence explains how the students incorporate these tools into their academic work. This study examines how students’ perceptions and demographic characteristics relate to their intended use of ChatGPT academically. The study focuses on understanding the educational meaning rather than maximizing the algorithmic performance. The survey data were collected from 166 university students for this purpose. It is analyzed to identify the key learning related constructs associated with ChatGPT use. An exploratory machine learning (ML) framework was applied to examine the relationships among these...

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AI literacy for ethical use of chatbot: Will students accept AI ethics?
Yusuke Kajiwara, Kouhei Kawabata (2024)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA ética

Temas IA: IA y educación ética de la IA chatbots

Resumen:

Texto completo

In AI literacy education, there are few examples of education based on AI ethical principles, and limited knowledge exists regarding curriculum design that incorporates AI ethical principles and its effects. Therefore, in this study, we propose a curriculum that teaches the ethical use of large language models (LLM) such as ChatGPT and verify its impact on educational effectiveness and technology acceptance among students aged 12 to 24. The validation results show that the proposed curriculum particularly contributes to the understanding of LLM concepts and their ethical use in decision support. We also demonstrate that experience using ChatGPT influences the level of understanding of...

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Enhancing python learning with PyTutor: Efficacy of a ChatGPT-Based intelligent tutoring system in programming education
Albert C.M. Yang, Ji-Yang Lin, Cheng-Yan Lin (2024)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT pensamiento computacional

Temas IA: chatGPT IA y aprendizaje estudio empírico

Resumen:

Texto completo

Programming is regarded as a focal point in the current rapidly evolving educational landscape. To aid learning in this domain, we developed PyTutor, an innovative intelligent tutoring system (ITS) that is designed to assist beginners in Python programming. PyTutor utilizes the ChatGPT model to offer continuous guidance, problem-solving hints, and detailed code explanations. It features a structured hint system for each question, covering pseudocode, cloze, basic, and advanced coding solutions. In our 11-week experiment, we compared 35 students who used PyTutor with 36 students who did not. The results indicated the effectiveness of PyTutor, particularly for students with weak foundations...

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What influences college students using AI for academic writing? - A quantitative analysis based on HISAM and TRI theory
Yulu Cui (2025)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial escritura académica educación superior

Temas IA: IA y enseñanza-aprendizaje de lenguas estudio empírico

Resumen:

Texto completo

Artificial intelligence (AI) technologies have been widely adopted as tools for academic writing, sparking interest in the factors that influence their adoption. However, existing research has predominantly focused on cognitive factors, such as perceived usefulness and ease of use, while giving insufficient attention to emotional motivations (e.g., perceived enjoyment, emotional engagement) in students' use of AI tools. This gap has led to a somewhat oversimplified or incomplete understanding of the factors influencing students' adoption of AI technologies. This study constructs a theoretical framework based on the Hedonic Information System Acceptance Model (HISAM) and the Technology...

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Developing an intelligent virtual reality interactive system based on the ADDIE model for learning pour-over coffee brewing
Shih-Jou Yu, Yu-Ling Hsueh, Jerry Chih-Yuan Sun (2021)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial realidad virtual feedback/retroalimentación

Temas IA: IA y aprendizaje estudio empírico

Resumen:

Texto completo

This study aims to use the analysis, design, development, implementation, and evaluation (ADDIE) model to develop an intelligent virtual reality (VR) interactive system for learning pour-over coffee brewing. The operation of pour-over coffee brewing is complex. An intelligent system is a concrete actuator that realizes artificial intelligence (AI) decisions. When learners face the challenge of learning complex skills, an intelligent system can actively analyze their learning behaviors and provide corresponding intelligent feedback to correct them. Furthermore, head-mounted-display VR can structure an immersive environment to improve the learning experience and knowledge transfer. This...

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Exploring the relationship between empowerment in using artificial intelligence for problem-solving and artificial intelligence ethical awareness: Multi-group structural equation modelling
Siu-Cheung Kong, Jinyu Zhu (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA ética

Temas IA: ética de la IA IA y educación estudio empírico

Resumen:

Texto completo

While increasing attention has been given to cultivating students' artificial intelligence (AI) ethical awareness, the factors that contribute to its development remain underexplored. Psychological empowerment is a crucial motivational factor influencing students' intentions to incorporate ethical norms in developing AI-based solutions. Hence, this study filled this up by exploring the relationship between empowerment in using AI for problem-solving and AI ethical awareness. Empowerment in using AI for problem-solving in this study comprised three components: impact, self-efficacy and meaningfulness. Data was collected from 681 students from secondary schools and a university in Hong Kong....

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Future research recommendations for transforming higher education with generative AI
Thomas K.F. Chiu (2024)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior ChatGPT

Temas IA: IA y educación chatGPT estudio empírico

Resumen:

Texto completo

Higher education is crucial for producing ethical citizens and professionals globally. The introduction of generative AI (GenAI), such as ChatGPT, has posed opportunities and challenges to the traditional model of education. However, the current conversations primarily focus on policy development and assessment, with limited research on the future of higher education. GenAI's impact on learning outcomes, pedagogy, and assessment is crucial for reforming and advancing the workforce. This qualitative study aims to investigate student perspectives on GenAI's impact on higher education. The study uses an initial conceptual framework driven by a systematic literature review to investigate the...

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A hybrid reasoning framework for artificial intelligence assessment rubric generation in human and automated contexts: Evidence from an undergraduate programming course
Pedro C. Mendonça, Filipe Quintal, Mário Figueiredo (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación grandes modelos de lenguaje

Temas IA: IA y evaluación modelos de lenguaje (LLM) estudio empírico

Resumen:

Texto completo

Developing assessment rubrics is resource-intensive, limiting frequent formative assessment. This study introduces HARMOGEN-R (Hybrid Assessment Rubric Model Generation with Reasoning), a framework that uses reasoning-enhanced Large Language Models (LLMs) for initial rubric generation and standard models for synthesis. It supports two generation approaches, namely, structured, with predefined evaluation criteria, and free-form, with Artificial Intelligence (AI) defined criteria. Using a within-subjects design, four AI-generated rubrics and a human-created baseline were compared across 308 open-ended responses (text and code) from three formative programming assignments in an undergraduate...

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Perceived impact of generative AI on assessments: Comparing educator and student perspectives in Australia, Cyprus, and the United States
René F. Kizilcec, Elaine Huber, Elena C. Papanastasiou (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación ChatGPT

Temas IA: IA y evaluación estudio empírico

Resumen:

Texto completo

The growing use of generative AI tools built on large language models (LLMs) calls the sustainability of traditional assessment practices into question. Tools like OpenAI's ChatGPT can generate eloquent essays on any topic and in any language, write code in various programming languages, and ace most standardized tests, all within seconds. We conducted an international survey of educators and students in higher education to understand and compare their perspectives on the impact of generative AI across various assessment scenarios, building on an established framework for examining the quality of online assessments along six dimensions. Across three universities, 680 students and 87...

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LLaVA-docent: Instruction tuning with multimodal large language model to support art appreciation education
Unggi Lee, Minji Jeon, Yunseo Lee (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial grandes modelos de lenguaje chatbots

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

Resumen:

Texto completo

Despite the development of various AI systems to support learning in various domains, AI assistance for art appreciation education has not been extensively explored. Art appreciation, often perceived as an unfamiliar and challenging endeavor for most students, can be more accessible with a generative AI enabled conversation partner that provides tailored questions and encourages the audience to deeply appreciate artwork. This study explores the application of multimodal large language models (MLLMs) in art appreciation education, with a focus on developing LLaVA-Docent, a model designed to serve as a personal tutor for art appreciation. Our approach involved design and development research...

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  • análisis de producción de IA (54)
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