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  • educación superior

Bibliografía: educación superior

Nº de publicaciones: 655
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Prácticas de literacidad jurídica en el ejercicio docente en dos facultades de Derecho de Antioquia
David Alberto Londoño Vásquez, Alvaro Ramírez-Botero, Kennier José Garay-Herazo (2019)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: alfabetización

Resumen:

Texto completo

Este trabajo revisa prácticas de literacidad implementadas por docentes en programas de derecho de la Universidad de San Buenaventura y la Institución Universitaria de Envigado. Este artículo se deriva de una investigación cualitativa, exploratoria-descriptiva de carácter aplicado, que implementó la hermenéutica comprensiva para el análisis de entrevistas hechas a los docentes. Los resultados muestran que los docentes implementan algunas prácticas de literacidad sin intención pedagógica. Reconocen la importancia de la lectura y la escritura en procesos de formación de abogados, pero consideran que los estudiantes de pregrado la deben manejarla, por esto consideran que no enseñan a...

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The influence of AI literacy on complex problem-solving skills through systematic thinking skills and intuition thinking skills: An empirical study in Thai gen Z accounting students
Watcharawat Promma, Narinthon Imjai, Berto Usman (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The rapid integration of artificial intelligence (AI) into various sectors has heightened the need for understanding its impact on cognitive and problem-solving skills. This study investigates the influence of AI literacy (AIL) on complex problem-solving skills (CPS) by examining the mediating roles of systematic thinking skills (STS) and intuitive thinking skills (ITS) among Generation Z accounting students in Thailand. Utilizing structural equation modeling (SEM) to analyze the relationships between these constructs, the research draws on a sample of 420 final-year undergraduate accounting students from both public and private universities, selected through convenience sampling. The...

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What undergraduate students need to know and actually know about generative AI
Sina Rismanchian, Eesha Tur Razia Babar, Shayan Doroudi (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

In November 2022, the release of ChatGPT sparked widespread adoption of generative AI chatbots among students, yet little is known about what undergraduate students actually understand about these tools or how accurately they perceive their capabilities. To address this gap, we propose a theoretically grounded framework for Generative AI (GenAI) literacy that integrates three forms of conceptual knowledge about large language models (LLMs)—foundations, capabilities, and limitations, and societal impact—with students' perceptions and folk theories of AI chatbots. We then developed and validated a GenAI literacy survey, including multiple-choice knowledge items and perception items, using...

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Are deeper reflectors better goal-setters? AI-empowered analytics of reflective writing in pharmaceutical education
Yuheng Li, Mladen Rakoviฤ‡, Wei Dai (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Reflection and goal-setting are interrelated processes in well-established educational theories to promote in-depth self-reflection and self-regulated learning. Prior studies have considered reflection to be an important antecedent for meaningful goal-setting. Yet, there lacks empirical evidence to shed light on how students' abilities to reflect inform their abilities to set goals. Hence, in the present study, we aimed to quantify the connection between students' retrospective reflection and their subsequent goal-setting, and derive more in-depth insights to benefit educators in their teaching to promote deeper reflection, more specific goal-setting and better self-regulation. To this end...

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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 โœ•

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 โœ•

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 โœ•

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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Understanding the perception of design students towards ChatGPT
Vigneshkumar Chellappa, Yan Luximon (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The benefits of artificial intelligence (AI)-enabled language models, such as ChatGPT, have contributed to their growing popularity in education. However, there is currently a lack of evidence regarding the perception of ChatGPT, specifically among design students. This study aimed to understand the product design (PD) and user experience design (UXD) students' views on ChatGPT and focused on an Indian university. The study employed a survey research design, utilizing questionnaires as the primary data collection method. The collected data (n = 149) was analyzed using descriptive statistics (i.e., frequency, percentage, average, and standard deviation (SD). Inferential statistics (i.e., one...

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Mediating and moderating roles of AI literacy: How it shapes the impacts of psychological resilience on work stress and job burnout among young university teachers in China
Weiwei Yin, Guofang Ren, Guowei Zhang (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

In the current context of China's higher education, work stress is a frequent challenge for young university teachers, often co-occurring with job burnout. This is a significant issue that is associated with both their teaching effectiveness and their career development. The purpose of this study is to explore the mediating roles of AI literacy and psychological resilience in the relationship between work stress and job burnout among young university teachers, as well as how AI literacy moderates the associations among work stress, psychological resilience, and job burnout of these young teachers. A nationwide survey was conducted, involving 411 university teachers. The main findings are as...

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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 โœ•

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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