educación superior

El presente trabajo expone los resultados de un estudio mixto y exploratorio que se llevó a cabo para examinar el uso de la inteligencia artificial (IA), identificar discrepancias entre percepción y realidad y proponer estrategias didácticas para que estudiantes de universidad la utilicen de manera responsable. La experiencia tuvo lugar al impartir el Seminario de Investigación II en la licenciatura en Enseñanza de Inglés en la Facultad de Estudios Superiores (fes) Acatlán, de la Universidad Nacional Autónoma de México (UNAM). Quienes participaron en la muestra tenían permitido usar IA y sabían que sus trabajos serían revisados con un software de detección de uso de IA. Pese a ello, el 50%...

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)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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...

What undergraduate students need to know and actually know about generative AI

Sina Rismanchian, Eesha Tur Razia Babar, Shayan Doroudi (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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...

Are deeper reflectors better goal-setters? AI-empowered analytics of reflective writing in pharmaceutical education

Yuheng Li, Mladen Raković, Wei Dai (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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...

Diverging perceptions of artificial intelligence in higher education: A comparison of student and public assessments on risks and damages of academic performance prediction in Germany

Marco Lünich, Birte Keller, Frank Marcinkowski (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The integration of Artificial Intelligence (AI) into higher education, particularly through Academic Performance Prediction (APP), promises enhanced educational outcomes. However, it simultaneously raises concerns regarding data privacy, potential biases, and broader socio-technical implications. Our study, focusing on Germany–a pivotal player in shaping the European Union's AI policies–seeks to understand prevailing perceptions of APP among students and the general public. Initial findings of a large standardized online survey suggest a divergence in perceptions: While students, in comparison to the general population, do not attribute a higher risk to APP in a general risk assessment,...

A design-based approach to analysing student engagement with a GenAI-Enabled brainstorming app

Joanne Chia, Angela Frattarola (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

While there are several “writing buddy” Generative Artificial Intelligence (GenAI) apps that check grammar and language usage, not many focus exclusively on enhancing the brainstorming process for writing across disciplines. To fill this gap, a team of staff and student assistants with programming and User Interface (UI) and User Experience (UX) expertise designed and prototyped a web app named “Waai,” which rhymes with ‘why,’ that could assist students throughout the writing process for a first-year general writing module for all undergraduate students at a Singaporean university.Utilising surveys, focus group discussions, and app data that shows the nature and type of student engagement...

Gen-Mentor: A human-in-the-loop instructional framework for dental radiography using generative AI

Yiyun Dong, Chuanyang Peng, Yichen Wu (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Integrating artificial intelligence into medical imaging offers potential for dental education. While existing models automate diagnosis, they often lack the interpretive depth needed for comprehensive student training. To address these limitations, this paper presents Gen-Mentor , a human-in-the-loop instructional framework that integrates the DentDiff-VLM backbone into a dental-radiography workflow. The backbone uses Faster R-CNN to localize four target radiographic findings: Filling, Implant, Impacted Tooth, and Cavity. A conditional diffusion model supports curriculum expansion by generating class-specific synthetic ROI candidates as candidate instructional assets. A vision–language...

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

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Tipo: artículo

Metodología: estudio empírico

Temas: alfabetización

Resumen:

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...

Understanding the perception of design students towards ChatGPT

Vigneshkumar Chellappa, Yan Luximon (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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...

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)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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...