estudio empírico

Las estrategias de aprendizaje son determinantes cuando se está aprendiendo una lengua. En los estudios actuales no sabemos cómo aprenden nuevos alumnos adolescentes en distintas situaciones de aprendizaje. El objetivo de este estudio es analizar qué estrategias creen los estudiantes que usan en el aprendizaje de la lengua, así como verificar como se relacionan todas las variables. Para llevar a cabo la investigación, se preparó un estudio de caso en el que 70 estudiantes entre 13 y 17 años (Islas Canarias, España) cumplimentaron además de sus datos personales, el cuestionario Strategy Inventory for Language Learning (SILL) de Oxford (1990). El resultado muestra una tendencia en el uso de...

A fuzzy expert system-based adaptive learning approach to improving students’ learning performances by considering affective and cognitive factors

Gwo-Jen Hwang, Han-Yu Sung, Shao-Chen Chang (2020)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Scholars have indicated the importance of providing guidance and support for individual learners. In the past decades, most studies have developed adaptive learning systems to address this issue mainly based on students’ cognitive status, such as their learning achievements. However, several educators have pointed out the need to take learners’ affective status into account. Therefore, this study proposed an expert system approach by taking into account both the affective and cognitive status of individual learners. An adaptive learning system was implemented based on the proposed approach. In addition, an experiment was conducted in a fifth-grade Mathematics course to compare the learning...

Towards responsible AI in education: A Delphi-AHP-based framework for evaluating educational large language models

Pingrong Lin, Qin Deng, Yanbian Zhou (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

As large language models (LLMs) become deeply integrated into the educational landscape, evaluation criteria focusing solely on performance are insufficient to mitigate the risks of value misalignment and socioethical concerns. To steer educational LLMs towards responsible and beneficial development, this study aims to construct a multidimensional evaluation framework grounded in educational theory. Initially, a preliminary pool of evaluation indicators was established on the basis of a review of the literature and pedagogical theories. The Delphi method was subsequently employed to refine the indicator structure by integrating opinions from 21 cross-disciplinary experts. The analytic...

Exploring the role of intrinsic motivation in ChatGPT adoption to support active learning: An extension of the technology acceptance model

Chung Yee Lai, Kwok Yip Cheung, Chee Seng Chan (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Background: ChatGPT, a powerful artificial intelligence chatbot, has great potential for active learning because of its ability to generate instant responses to academic inquiries and foster spontaneous interactions. Purpose: This exploratory study investigated the roles of intrinsic motivation and factors of the technology acceptance model that influence ChatGPT acceptance for active learning among undergraduates in Hong Kong. Method: Using a structural equation modeling approach, we examined the extended technology acceptance model in the context of higher education. Using self-report questionnaires, we obtained useful responses from 473 undergraduate students in Hong Kong in July 2023....

Chat as learning: Student–AI conversations as discipline-associated cognitive engagement patterns

Chia-Kai Chang, Kuei-Hao Li (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Generative AI teaching assistants are increasingly adopted in higher education, yet debates persist over whether student–AI conversations engage students in genuine cognitive processes or function primarily as information retrieval. We propose “Chat as Learning,” a measurement paradigm that treats student prompts as observable externalisations of in-progress learning cognition, complementing outcome-based assessment with a process-level signal aggregable at population, course, and student scales. We adopt the term learning to denote the paradigm’s theoretical positioning; the present study measures cognitive demand reflected in students’ prompts, classified via Bloom’s Taxonomy, rather than...

Automatic question-answer pairs generation using pre-trained large language models in higher education

Jintao Ling, Muhammad Afzaal (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The process of manually generating question and answer (QA) pairs for assessments is known to be a time-consuming and energy-intensive task for teachers, specifically in higher education. Several studies have proposed various methods utilising pre-trained large language models for the generation of QA pairs. However, it is worth noting that these methods have primarily been evaluated on datasets that are not specifically educational in nature. Furthermore, the evaluation metrics and strategies employed in these studies differ significantly from those typically used in educational contexts. The present discourse fails to present a compelling case regarding the efficacy and practicality of...

Effects of integrating an open learner model with AI-enabled visualization on students' self-regulation strategies usage and behavioral patterns in an online research ethics course

Jerry Chih-Yuan Sun, Hsueh-Er Tsai, Wai Ki Rebecca Cheng (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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This study seeks to understand the effects of a personalized learning platform, which applied an open learner model with self-regulation and AI-enabled data visualization features, on students' self-regulated learning strategies used and behavioral patterns during their self-directed online learning process. Results were based on a self-regulated learning scale and a prior knowledge test from 182 university students and supplemented with students' system logs to understand their behavioral patterns while interacting with the personalized learning platform. It showed that the combined self-regulation and data visualization features (dual features) improve student performance via self...

AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theory

Muhammad Zaim, Safnil Arsyad, Budi Waluyo (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study explores the integration of generative AI into English as a Foreign Language (EFL) teaching preparation within Indonesian higher education, addressing the growing need to understand how emerging technologies can enhance pedagogical practices in a rapidly evolving educational landscape. By employing the Unified Theory of Acceptance and Use of Technology (UTAUT) and Activity Theory, the research provides a robust analytical framework to examine the factors influencing lecturers' adoption of generative AI. The study is particularly relevant as generative AI offers significant potential to improve teaching efficiency and content personalization, yet its adoption presents challenges...

Percepciones de los estudiantes de español lengua extranjera en las clases mixtas

Clara Burgo (2016)

Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas

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Tipo: artículo

Metodología: estudio empírico

Temas: español como lengua de herencia

Resumen:

The current study is focused on the perceptions of university second language (L2) learners on having heritage speakers (HS) in the same Spanish language courses. Although some students confessed feelings of intimidation or fear, overall there was a positive attitude towards the benefits of mixed classrooms for L2 learners such as the improvement of their listening and cultural skills and the real immersion scenario. Considering students’ comments, there are some recommendations for implementation in mixed classrooms.

El presente estudio se enfoca en las percepciones de los aprendientes de segunda lengua (SL) universitarios sobre tener hablantes de herencia (HH) en los mismos cursos...

Developing and validating the scale of language teachers’ design thinking competency in artificial intelligence language teaching (LTDTAILT)

Amir Reza Rahimi (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Design thinking (DT) is one of the critical 21st-century digital skills that allows individuals to solve real-world problems by redesigning their problem procedure to achieve the desired outcome. Nowadays, cultivating DT within any educational program is becoming increasingly important for teachers since Artificial Intelligence (AI) and chatbots are available to all students. However, teachers themselves need to possess DT competency to effectively cultivate it in their students, particularly in humanistic fields like applied linguistics, Computer Assisted Language Learning (CALL), and Artificial Intelligence Language Teaching (AILT). For this reason, the researcher in the current study...