estudio empírico

Este artículo analiza un proceso de enseñanza basado en tareas literarias. Su objetivo es observar la influencia de ese proceso en el desarrollo lingüístico de aprendices de español LE. La investigación fue realizada con 14 estudiantes de un curso de licenciatura en lengua española de Brasil. Por ser un estudio predominantemente cualitativo, fueron empleados varios instrumentos de recogida de datos: cuestionarios, entrevista, notas de clase, producciones escritas y grabación de producciones orales. Los resultados obtenidos revelaron que las tareas literarias comunicativas favoreció: 1. el desarrollo de la fluencia y de la corrección; 2. la plasmación de la competencia metalingüística, y 3...

Integrating generative artificial intelligence in K-12 education: Examining teachers’ preparedness, practices, and barriers

Yin Hong Cheah, Jingru Lu, Juhee Kim (2025)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Despite the growing body of research on developing K-12 teachers' generative AI (GenAI) knowledge and skills, its integration into daily teaching practices remains underexplored. Using a snowball sampling method, this study examined the preparedness, practices, and barriers encountered by 89 U.S. teachers in the state of Idaho. Participants were predominantly White, female teachers serving in rural schools. A mixed-methods analysis of survey responses revealed that teachers were generally underprepared for integrating GenAI, with fewer than half incorporating it into their educational practices. Unlike the widespread classroom integration patterns observed with general educational...

How well can LLMs grade essays in Arabic?

Rayed Ghazawi, Edwin Simpson (2025)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This research assesses the effectiveness of state-of-the-art large language models (LLMs), including ChatGPT, Llama, Aya, Jais, and ACEGPT, in the task of Arabic automated essay scoring (AES) using the AR-AES dataset. It explores various evaluation methodologies, including zero-shot, few-shot in context learning, and fine-tuning, and examines the influence of instruction-following capabilities through the inclusion of marking guidelines within the prompts. A mixed-language prompting strategy, integrating English prompts with Arabic content, was implemented to improve model comprehension and performance. Among the models tested, ACEGPT demonstrated the strongest performance across the...

Sobre los desafíos y motivaciones de los estudiantes para aprender español con el currículo actual en universidades sudafricanas

María Recuenco Peñalver, Arturo Mendoza Ramos (2022)

Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: motivación

Resumen:

Spanish is one of the most widely spoken and learnt languages worldwide. Spanish teaching in Africa has been relevant in Francophone countries and the Magreb. In the Southern region of Africa, Madagascar and South Africa are the two countries with the higher number of learners. In South Africa, although students in higher education are motivated to learn Spanish, the implementation of language policies and the current Spanish language curriculum in South African universities have largely set back the number of enrolments in recent years. In this paper, we examine the current situation of Spanish studies in higher education institutions in South Africa, focusing on the cases of the...

Why don't teachers teach AI ethics? Understanding teachers' beliefs and intentions in Chinese AI curriculum implementation through the theory of planned behaviour

Ming Ma, Davy Tsz Kit Ng, Zhichun Liu (2025)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

While artificial intelligence (AI) education is expanding globally, the implementation of AI ethics education in K-12 AI curricula remains a critical challenge, particularly in top-down curriculum reform contexts like China. This study investigates the factors influencing secondary information technology (IT) teachers' intention to teach AI ethics, grounding in Theory of Planned Behaviour (TPB). Through semi-structured interviews with 14 in-service teachers in China's Greater Bay Area (GBA), we identified key behavioural beliefs (e.g., fostering critical thinking, navigating rapid technological change, and adapting western-centric ethics), normative beliefs (e.g., new curriculum policy,...

Artificial intelligence and computer vision education: Codifying student learning gains and attitudes

Pramod Abichandani, Craig Iaboni, Deepan Lobo (2023)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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...

A gamified web based system for computer programming learning

Giuseppina Polito, Marco Temperini (2021)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The availability of Automated Assessment tools for computer programming tasks can be a significant asset in Computer Science education. Systems providing such kind of service are built around an interface, allowing to administer the tasks (exercises to train programming skills), and show the results, accompanied by meaningful feedback. To produce such results, they apply techniques ranging from static analysis of program correctness, to testing-based evaluation. These systems can also support Competitive Programming, which is known to have educational meaning too. We developed the 2TSW system, supporting the automated correction of computer programming tasks, in a gamified web-based...

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

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

Detalles Cerrar ✕

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...

Understanding the role of study strategies and learning disabilities on student academic performance to enhance educational approaches: A proposal using artificial intelligence

Adriano Bressane, Daniel Zwirn, Alexei Essiptchouk (2024)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Statement of problem: The students’ academic performance is influenced by a complex interplay among several factors. Traditional educational approaches often struggle to accommodate the diverse needs of students, leading to suboptimal learning outcomes. Purpose: This article aims to comprehensively understand the role of study strategies and learning disabilities in shaping academic performance. Through the integration of artificial intelligence (AI) tools, the purpose is to propose a decision support system (DSS) for recommendations to improve the educational approach. Method: To identify features with higher explanatory power based on empirical data, we employed an artificial neural...

Measuring Acceptance of Age-Tiered AI Literacy Guidebooks: A Developmentally Informed Study of K-12 Students and Teachers

Li-Jen Wang, Tsung-Yen Chuang, Ying-Tien Wu (2026)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

As generative artificial intelligence (AI) becomes increasingly integrated into K-12 education, there is a pressing need for AI literacy initiatives to incorporate learning resources that are both age-appropriate and ethically grounded. This study examined acceptance of the AI Learning Application Guidebook, developed in Elementary and Advanced editions for learners aged 9–12 and 13–18, respectively. The Elementary edition features scaffolded, platform-based, non-generative activities, whereas the Advanced edition includes authentic applications, ethical reasoning exercises, and supervised engagement with generative AI. The guidebooks were evaluated in Taiwanese classrooms by 831...