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  • educación superior

Bibliografía: educación superior

Nº de publicaciones: 655
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Style, sentiment, and quality of undergraduate writing in the AI era: A cross-sectional and longitudinal analysis of 4,820 authentic empirical reports
Matthew H.C. Mak, Lukasz Walasek (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

As generative artificial intelligence (GenAI) becomes widespread in education, its influence on students' academic practice raises concern. We conducted pre-registered analyses of 4820 empirical reports authored by 2000 psychology undergraduates (2016–2025) to examine how ChatGPT's launch in November 2022 may influence the style, sentiment, and quality of students' writing. Following ChatGPT's release, prevalence of ChatGPT-associated lexical markers (e.g., delve, intricate) surged until 2024, then declined in 2025, possibly due to some students actively masking GenAI traces. Writing style (indexed by lexical diversity/density/sophistication, nominalisation, readability) became increasingly...

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ChatGPT for interdisciplinary learning: Does it equally benefit STEM and non-STEM students
Gaoxia Zhu, Xiuyi Fan, Chenyu Hou (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

While studies on using generative AI for education are increasing, research on whether it benefits STEM and non-STEM students, who tend to have different technology acceptance and AI literacy, in the interdisciplinary learning context is rare. To respond to this gap, this exploratory quasi-experiment study engaged 130 undergraduate students in interdisciplinary learning for two weeks (some used ChatGPT and some did not). We collected participants' physical, emotional, and cognitive engagement using surveys and quantified their interdisciplinary learning quality based on their written online posts. Results showed that STEM students' physical engagement was higher in the ChatGPT condition,...

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Artificial intelligence and computer vision education: Codifying student learning gains and attitudes
Pramod Abichandani, Craig Iaboni, Deepan Lobo (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial Intelligence (AI) and Computer Vision (CV) have rapidly permeated various industries, increasing demand for professionals well-versed in these disciplines. In response to this need, this study evaluates the effectiveness of a novel undergraduate course that aims to equip students with foundational AI and CV knowledge and skills. Unlike existing software-centric courses, this class capitalizes on drones as a practical application area for AI and CV, fostering an active learning environment. The course was conducted over five semesters at a U.S. research institution, with 153 participating students. Data were collected using diverse methods, including formative and summative...

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Personality traits for self-regulated learning with generative artificial intelligence: The case of ChatGPT
Xiaojing Weng, Qi Xia, Zubair Ahmad (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Personality traits and educational technology may affect how well students utilise their abilities and strategies to achieve their learning objectives and potential. As generative artificial intelligence (GenAI) is creating new learning experiences, understanding the impact of five representative personality traits on students' self-regulated learning (SRL) while learning with GenAI tools can help to predict which personality traits indicate better self-regulation when learning with this innovative educational technology. Such a prediction can help educators to design effective learning activities by providing educational experiences that cater to students' different personality traits for...

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Factors influencing intention to adopt an AI chatbot for learning in higher education: An integrated PLS-SEM, IPMA, and ANN approach
Hongbo Guo, Tumennast Erdenebold (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

With the increasing integration of AI chatbots into education, understanding the factors that influence students' adoption intentions offers an empirical basis for further research in educational technology. However, empirical studies integrating multiple analytical approaches remain limited, particularly in China context. This study investigated Chinese university students' intention to adopt AI chatbots for learning by examining six individual-level predictors: performance expectancy (PE), effort expectancy (EE), social influence (SI), perceived trust (PT), personal innovativeness (PI), and perceived enjoyment (PEN). Survey data from 635 Chinese university students were analyzed using an...

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Generative AI in scenario-based healthcare education: A systematic review of applications, validation practices, and pedagogical integration
Mariana Neto, Rui Pinto, João Reis (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

The adoption of Generative AI (GenAI) and Large Language Models (LLMs) in healthcare education has accelerated rapidly since 2023, yet the evidence base for their use in Scenario-Based Learning (SBL) remains fragmented. This systematic review synthesises empirical research on GenAI applications across scenario-based, case-based, problem-based, and simulation-based learning in healthcare education. Following the PRISMA 2020 guidelines, five databases were searched on 9 November 2025 for peer-reviewed studies published from January 2023 onwards. Of 1151 initial records, 23 studies met the inclusion criteria. Quality was assessed using the Mixed Methods Appraisal Tool (MMAT). Thematic...

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Creencias sobre el aprendizaje y dominio ELE mediante la metáfora explícita suscitada
Ana Maria Macías (2019)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: creencias y actitudes de los estudiantes

Resumen:

Texto completo

RESUMEN Este estudio de carácter cualitativo tiene por objeto presentar, identificar y analizar la naturaleza de las creencias que un grupo de estudiantes universitarios daneses. Los participantes completaron los enunciados Aprender español es como… y Saber español es como… y sus respuestas nos permitieron acceder a su conceptualización de aprendizaje y dominio de español como lengua extranjera. Las metáforas se nos presentan como una herramienta cognitiva importante que nos posibilita observar los mecanismos del pensamiento y su sistematicidad. La metáfora nos permite, además,  identificar la experiencia de los estudiantes como aprendientes y su reflexión sobre las creencias...

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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
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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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The cognitive impact of ChatGPT in higher education: A systematic review of critical and creative thinking outcomes
Changyue Li, Hang Cui, Linda Serra Hagedorn (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

This systematic review examines how ChatGPT influences university students' critical and creative thinking by synthesizing 67 empirical studies (2022-2025) following PRISMA guidelines. We applied a dual-lens framework distinguishing convergent (critical thinking) and divergent (creative thinking) processes. Analysis revealed that, ChatGPT supports cognitive development when embedded within inquiry-oriented and scaffolded instructional designs, especially through processes such as metacognitive regulation, argumentative reasoning, and idea generation, which in turn produce synergistic gains across both critical and creative domains. However, in unstructured contexts, researchers observed...

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Una Experiencia de Clases Sincrónicas en línea
Marta Genís Pedra, María Teresa Martín de Lama (2013)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar βœ•

Tipo: artículo

Metodología: experiencia práctica

Temas: enseñanza en línea e híbrida

Resumen:

Texto completo

The M. A. in Bilingual Education at Nebrija University includes a diverse set of training tools which aims to facilitate the acquisition of various skills, among which language skills are the most important ones. As part of an active teaching method, the student is the protagonist of his own learning and the teacher is the expert in the field, the connoisseur of the best means to transmit knowledge and to help students improve their learning strategies. The teaching methodology used is blended learning, combining face-to-face and online classes through the virtual campus, a collaborative platform which makes use of typical e-learning educational spaces such as fora, chats, links, task box...

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