estudio empírico

En este artículo se presentan los resultados de un estudio empírico que permitieron identificar las necesidades para el diseño de una aplicación didáctica para la enseñanza virtual de Español como Lengua Extranjera, ELE. El objetivo general de la investigación en la que se enmarca el estudio fue proponer un diseño curricular para la enseñanza virtual de ELE. Entre las conclusiones se destaca que la coherencia entre las necesidades identificadas, el diseño curricular propuesto y la unidad prototipo permite mostrar la articulación entre los diferentes niveles de concreción curricular: el nivel macro correspondiente al diseño curricular completo; el nivel meso, a la planificación y el nivel...

Identifying active ingredients and uptake patterns in the implementation of an AI-based writing support tool: Insights from a randomized controlled trial

Yue Huang, Corey Palermo, Joshua Wilson (2025)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

While AI-based educational technologies offer many features designed to support learning, it remains unclear which specific components actually contribute to improved student outcomes. Identifying these active ingredients—the subset of an intervention's core components that are demonstrably associated with learning gains—is essential. Yet, evidence from experimental studies remains limited. To address this gap, we conducted a secondary analysis of data from the treatment group of a randomized controlled trial involving 902 middle school students across three U.S. school districts who used MI Write, an automated writing evaluation (AWE) system. Drawing on implementation science, we examined...

Appraisal of high-stake examinations during SARS-CoV-2 emergency with responsible and transparent AI: Evidence of fair and detrimental assessment

MD. Rayhan, MD. Golam Rabiul Alam, M. Ali Akber Dewan (2022)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

In situations like the coronavirus pandemic, colleges and universities are forced to limit their offline and regular academic activities. Extended postponement of high-stakes exams due to health risk hereby reduces productivity and progress in later years. Several countries decided to organize the exams online. Since many other countries with large education boards had an inadequate infrastructure and insufficient resources during the emergency, education policy experts considered a solution to simultaneously protect public health and fully resume high-stakes exams -by canceling offline exam and introducing a uniform assessment process to be followed across the states and education boards....

Beyond binary outcomes: Evaluating and mitigating bias in national standardized test score prediction

Lin Li, Namrata Srivatava, Jia Rong (2026)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Predictive analytics in education holds promise for supporting student learning but poses risks of bias potentially disadvantaging certain groups based on demographic attributes such as gender. Prior work on fairness in educational prediction has largely focused on binary outcomes in higher education, leaving continuous predictions, such as standardized test scores, comparatively understudied, especially in early schooling where consequences can be long-lasting. Despite a few fairness metrics available for continuous outcomes, they often rely on mean differences, obscuring distributional disparities that may disadvantage specific students. Even fewer studies have attempted to address bias...

Role of activity-based learning and ChatGPT on students' performance in education

Tamara Al Shloul, Tehseen Mazhar, Qamar Abbas (2024)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Purpose: This study investigates the impact of activity-based learning and the utilization of ChatGPT on students' academic performance within the educational framework. Objectives: The study aims to assess the effectiveness of activity-based learning in comparison to traditional methods, while also evaluating the potential benefits and drawbacks of integrating ChatGPT as an educational tool. Methods: The study employs a comparative approach, analyzing the outcomes of students exposed to activity-based learning versus those using conventional methods. Additionally, the study examines the usage of ChatGPT in education through surveys and trials to determine its contribution to personalized...

Exploring social and computer science students’ perceptions of AI integration in (foreign) language instruction

Kosta Dolenc, Mihaela Brumen (2024)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Artificial intelligence (AI) has gained acceptance in the field of education. Nevertheless, existing research on AI in education, particularly in foreign language (FL) learning and teaching, is notably limited in scope and depth. In the present study, we addressed this research gap by investigating social and computer science students' perceptions of the integration and use of AI-based technologies in education, focusing specifically on foreign language teaching. Using an online questionnaire, we analysed factors such as students' field of study, gender differences, and the type of AI used. The questionnaire included statements categorised into thematic clusters, with responses measured on...

Los errores léxicos intralinguales semánticos en la producción escrita de los aprendientes griegos de español

Kiriakí Palapanidi (2010)

Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: análisis de errores

Resumen:

Este trabajo analiza los errores léxicos intralinguales semánticos de las composiciones en español por 81 aprendices griegos de diferentes niveles lingüísticos (A, B1, B2, C1) utilizando el método de Análisis de Errores. Los resultados del análisis cualitativo muestran que las estrategias más usadas son la asociación fonológica y semántica entre las palabras de la LE. Los resultados del análisis cuantitativo indican que tanto toda la categoría de los errores como sus diferentes tipos ascienden a medida que avanza el nivel lingüístico de los informantes.

This study analize the lexical intralingual semantic errors of the written compositions in Spanish of 81 Greek SFL students of...

Can large language models meet the challenge of generating school-level questions?

Subhankar Maity, Aniket Deroy, Sudeshna Sarkar (2025)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

In the realm of education, crafting appropriate questions for examinations is a meticulous and time-consuming task that is crucial for assessing students' understanding of the subject matter. This paper explores the potential of leveraging large language models (LLMs) to automate question generation in the educational domain. Specifically, we focus on generating educational questions from contexts extracted from school-level textbooks. Our study aims to prompt LLMs such as GPT-4 Turbo, GPT-3.5 Turbo, Llama-2-70B, Llama-3.1-405B, and Gemini Pro to generate a complete set of questions for each context, potentially streamlining the question generation process for educators. We performed a...

Investigating the impact of generative AI integration on the sustenance of higher-order thinking skills and understanding of programming logic

Jemimah Nathaniel, Solomon Sunday Oyelere, Jarkko Suhonen (2025)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study investigates how integrating generative AI (GenAI) with instructional scaffolding and prompt engineering supports higher-order thinking skills (HOTS) and programming logic. A mixed-methods design was used, combining quantitative and qualitative data. The intervention followed a one-group pretest-post-test structure over seven weeks with 25 computer science students with no prior C++ experience. The GenAI-Ped framework guided the design. It combines Bloom's taxonomy, Seelf-Regulated Learning, Universal Design for Learning, and Vygotsky's Zone of Proximal Development. Students received scaffolded support across six instructional phases, including prompt training and guided GenAI...

Jerarquía de aprendizaje: un caso práctico con "por" y "para"

Antonio L. Jiménez (2017)

Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: preposiciones

Resumen:

Como cualquier otra oposición no evidente, es conocida la dificultad que entraña el aprendizaje de la oposición preposicional por-para en el estudiante de español como lengua extranjera (E/LE). En un entorno de esta índole, en el que es evidente la repetición de ciertas formas idiosincrásicas, nos cuestionamos las causas de dicho fenómeno y llegamos a la conclusión de que el origen de los errores podría ser el mismo. Sobre esta base, pretendemos indagar en este artículo, en primer lugar, sobre el proceso de adquisición de por-para centrándonos en describir la relación forma-función en diferentes estadios de desarrollo de la interlengua en estudiantes de lengua materna italiana e inglesa, y en...