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  • educación superior

Bibliografía: educación superior

Nº de publicaciones: 655
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Factors influencing university students’ intention to use and reliance on generative artificial intelligence: An extended technology acceptance model with critical use
Trang H. Nguyen, Long T. Truong, Nhu H.T. Nguyen (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

In light of the growing popularity, accessibility, and utility of Generative Artificial Intelligence (GenAI) tools, their impact on learning can be either supportive or detrimental, depending on how students use them. This calls for an examination of students’ intention to use and reliance on GenAI to inform timely interventions within higher education to ensure favourable learning outcomes. This study investigates factors influencing intentions to use and reliance on GenAI among Engineering and Computer Science/ Information Technology (CS/IT) students. Drawing on an extended Technology Acceptance Model (TAM), the study integrates the construct of critical use and conceptualises reliance...

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El uso de las funciones de las citas en la estructura retórica de las Introducciones de memorias de máster escritas en español por estudiantes nativos españoles y no nativos filipinos
David Sánchez Jiménez (2012)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: escritura académica

Resumen:

Texto completo

La investigación llevada a cabo en este artículo analiza la correlación en el uso de las funciones de las citas con la estructura organizativa de la Introducción de 16 memorias de máster escritas en español en el campo de la Lingüística Aplicada por estudiantes nativos españoles y no nativos filipinos. El análisis cuantitativo y cualitativo en este estudio parte del modelo propuesto por Carbonell-Olivares et al. (2009) para delimitar la organización de la Introducción de la tesis doctoral en español y de la clasificación de las funciones de las citas realizada por Sánchez Jiménez (2011). Los resultados de la investigación muestran que existe una relación directa entre el uso de las citas y...

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Integrating the adapted UTAUT model with moral obligation, trust and perceived risk to predict ChatGPT adoption for assessment support: A survey with students
Chung Yee Lai, Kwok Yip Cheung, Chee Seng Chan (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

ChatGPT stands out among other AI technology tools to provide assessment support in the higher education context. This exploratory study investigates the motivators and barriers which influence the use intention of ChatGPT for assessment support among undergraduates in Hong Kong. We tested the adapted and extended UTUAT model using the structural equation modeling approach. Through self-report online questionnaire, we received usable responses from 483 undergraduates of eight Hong Kong universities.In a highly competitive Chinese context, assessment results hold immense significance in determining the value and merit of students. The findings reveal that trust acts as the strongest...

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AI-assisted audio-learning improves academic achievement through motivation and reading engagement
Nanda R. Jafarian, Anne-Wil Kramer (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial intelligence (AI) is transforming education by enabling the creation of innovative learning resources that may cater to diverse learning needs. Students with common forms of neurodiversity, such as ADHD, often face unique challenges in higher education that are not adequately addressed by current educational resources. One potentially helpful resource is audio content, which provides a flexible and accessible supplement to traditional educational materials. While audio content, such as podcasts, is widely popular, its effect on academic achievement remains underexplored. This pre-registered randomized controlled trial investigated the impact of AI-assisted audio-learning modules...

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Can students judge like experts? A large-scale study on the pedagogical quality of AI and human personalized formative feedback
Tanya Nazaretsky, Hagit Gabbay, Tanja Käser (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

While feedback is essential for guiding student learning, providing timely and personalized guidance in large-scale educational settings remains a significant challenge. Generative AI offers a scalable solution, yet little is known about students’ perceptions of AI-generated feedback. In this paper, we aim to investigate how the identity of the feedback provider (human vs. AI) affects students’ ability to assess feedback quality and whether their judgments are biased. We propose a comprehensive rubric for assessing the pedagogical quality of formative feedback. We use it to compare the objective quality of AI-generated and human-crafted feedback (N = 979). Next, using data collected from...

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Artificial intelligence literacy in higher and adult education: A scoping literature review
Matthias Carl Laupichler, Alexandra Aster, Jana Schirch (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

Since artificial intelligence (AI) is finding its way into more and more areas of everyday life, improving the AI skills of non-experts is important and will become even more relevant in the future. While it is necessary that children learn about the possibilities of AI at an early age, adults in higher education and beyond should also have at least a basic understanding of AI (i.e., AI literacy) to be able to interact effectively with the technology. To evaluate the current state of the literature on AI literacy in higher and adult education, a scoping literature review was conducted with the objective of identifying thematic foci and recent research trends. Ten research databases were...

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ChatGPT effects on cognitive skills of undergraduate students: Receiving instant responses from AI-based conversational large language models (LLMs)
Harry Barton Essel, Dimitrios Vlachopoulos, Albert Benjamin Essuman (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study investigated the impact of using ChatGPT, a state-of-the-art generative AI-based model, on the critical, creative, and reflective thinking skills of university students in Ghana. The study utilized a mixed-methods research approach, incorporating quantitative and qualitative data collection instruments, and an experimental procedure with a pretest-posttest control group. The study ultimately enlisted a sample of 125 students randomly allocated to either the experiment group (60 students) or the control group (65 students). The research was conducted in the context of a Research Methodology course, which had adopted the flipped classroom approach. The students in the experiment...

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Harnessing the power of AI-instructor collaborative grading approach: Topic-based effective grading for semi open-ended multipart questions
Phyo Yi Win Myint, Siaw Ling Lo, Yuhao Zhang (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Semi open-ended multipart questions consist of multiple sub questions within a single question, requiring students to provide certain factual information while allowing them to express their opinion within a defined context. Human grading of such questions can be tedious, constrained by the marking scheme and susceptible to the subjective judgement of instructors. The emergence of large language models (LLMs) such as ChatGPT has significantly advanced the prospect of automatic grading in educational settings. This paper introduces a topic-based grading approach that harnesses LLM capabilities alongside a refined marking scheme to ensure fair and explainable assessment processes. The...

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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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