estudio empírico

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The rapid proliferation of artificial intelligence tools in educational settings has created an urgent demand for AI literacy among secondary educators, yet empirical research examining this phenomenon in non-Western and crisis-affected contexts remains limited. This multi-study investigation employs a sequential explanatory mixed-methods design to examine AI literacy among Ukrainian secondary educators through national survey analysis ( n = 2018), targeted educator surveys ( n = 116), professional development evaluation ( n = 1130), and systematic mapping of European Open Science Cloud (EOSC) services. Findings reveal that while 84% of surveyed educators report AI use in professional...

Examining the relationship between the L2 motivational self system and technology acceptance model post ChatGPT introduction and utilization

Jerry Huang, Atsushi Mizumoto (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Since the introduction of the L2 Motivational Self System (L2MSS), numerous studies worldwide have highlighted its effectiveness in elucidating Second Language Acquisition. However, the influence of generative artificial intelligence (GenAI) technology on this model remains largely unexplored. The Technology Acceptance Model (TAM) is a widely employed framework for examining the impact of a new technology, and this study explores the intercorrelation when these two models are considered together. Conducted with 35 s-year university English as a foreign language (EFL) students in humanities, the study involved two sessions of instructor-led ChatGPT usage writing workshops, followed by the...

El conocimiento productivo y receptivo del vocabulario en L2

Alicia San Mateo Valdehíta (2012)

Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas

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Tipo: artículo

Metodología: estudio empírico

Temas: enseñanza/aprendizaje de vocabulario

Resumen:

Este trabajo presenta un análisis del conocimiento receptivo y/o productivo de las unidades léxicas que 150 aprendices de español como segunda lengua, de nivel B1, demuestran poseer una vez que las han incorporado a su lexicón mental gracias a una determinada actividad, bien sea esta de reconocimiento (selección de la definición correcta o del ejemplo que incluya el equivalente semántico de la palabra estímulo) o de producción (escritura de oraciones que respondan a las preguntas planteadas y que contengan la palabra estímulo). Los resultados indican que la actividad productiva es la más eficaz, ya que los sujetos que practican con ella obtienen mayor número de aciertos tanto en las tareas...

Understanding the practices, perceptions, and (dis)trust of generative AI among instructors: A mixed-methods study in the U.S. higher education

Wenhan Lyu, Shuang Zhang, Tingting Chung (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Generative AI (GenAI) has brought opportunities and challenges for higher education as it integrates into teaching and learning environments. As instructors navigate this new landscape, understanding their engagement with and attitudes toward GenAI is crucial. We surveyed 178 instructors from a single U.S. university to examine their current practices, perceptions, trust, and distrust of GenAI in higher education in March 2024. While most surveyed instructors reported moderate to high familiarity with GenAI-related concepts, their actual use of GenAI tools for direct instructional tasks remained limited. Our quantitative results show that trust and distrust in GenAI are related yet distinct...

La competencia pragmática en el español L1 y L2 a través de tres actos de habla: análisis contrastivo

Maria C. Sampedro Mella (2018)

Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas

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Tipo: artículo

Metodología: estudio empírico

Temas: pragmática

Resumen:

La enseñanza de segundas lenguas ha experimentado importantes modificaciones en las últimas décadas, con objeto de adaptarse a los requerimientos teóricos de cada época. Actualmente, siguiendo las directrices del Marco común europeo de referencia para las lenguas (Consejo de Europa 2002), se insiste en potenciar las competencias sociolingüísticas y pragmáticas, a fin de lograr un desarrollo comunicativo eficaz en el hablante de L2. En este contexto, el presente artículo pretende indagar en el conocimiento pragmático real de los aprendices de ELE. Para ello, se ha seleccionado un grupo de 97 estudiantes de niveles altos de español y un segundo grupo de hispanohablantes del mismo perfil social...

Artificial neural networks in academic performance prediction: Systematic implementation and predictor evaluation

Carlos Felipe Rodríguez-Hernández, Mariel Musso, Eva Kyndt (2021)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The applications of artificial intelligence in education have increased in recent years. However, further conceptual and methodological understanding is needed to advance the systematic implementation of these approaches. The first objective of this study is to test a systematic procedure for implementing artificial neural networks to predict academic performance in higher education. The second objective is to analyze the importance of several well-known predictors of academic performance in higher education. The sample included 162,030 students of both genders from private and public universities in Colombia. The findings suggest that it is possible to systematically implement artificial...

LLM sentiment quantification reveals selective alignment with human course-evaluation raters

Joyce W. Lacy, Chi Nnoka, Zachary Jock (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Student course evaluations contain rich qualitative feedback in the form of comments written in response to open-ended questions. However, this qualitative data, which may be more nuanced and detailed than quantitative ratings, is often unexamined in both administrative and research settings due to the labor-intensive nature of manual analysis. We investigate whether large language models (LLMs), including BERT, RoBERTa, and OpenAI model variants, can accurately replicate human judgments of sentiment in these comments. We compare masked and generative language models, using both naïve and fine-tuned approaches, to analyze a curated dataset of 1000 de-identified course evaluation responses....

Towards the development of complex thinking in university students: Mixed methods with ideathon and artificial intelligence

Isolda Margarita Castillo-Martínez, Amadeo José Argüelles-Cruz, Octavio Elías Piñal-Ramírez (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This article examines the capacity of an artificial intelligence (AI) platform to assess university students' mastery of complex thinking. Central questions addressed include the identification of essential technical elements that contribute to the platform's effectiveness, and how the AI platform can boost student motivation and cultivate complex thinking. The research employed a mixed-methods approach, anchored by an Ideathon centered on the Sharing Economy. Qualitative insights were drawn from semi-structured interviews with nine university students. The results indicate that the platform effectively evaluates complex thinking proficiency, differentiating between systemic, scientific,...

Developing generative AI literacies through self-regulated learning: A human-centered approach

Abram D. Anders, Emily Dux Speltz (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Generative artificial intelligence (AI) creates both opportunities for enhanced learning and risks of skill erosion and dependency. This exploratory, mixed-methods study investigated how to design AI learning experiences using a human-centered approach that promotes student agency. We developed and investigated an integrated framework combining comprehensive generative AI literacies—functional, critical and ethical, and creative—with self-regulated learning (SRL) processes operationalized as a human-centered Plan, Iterate, Evaluate cycle. Thirty-eight undergraduate students enrolled in an “Artificial Intelligence and Writing” course completed scaffolded experiential challenges followed by...

The use of a personalized learning approach to implementing self-regulated online learning

Thanyaluck Ingkavara, Patcharin Panjaburee, Niwat Srisawasdi (2022)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Nowadays, students are encouraged to learn via online learning systems to promote students' autonomy. Scholars have found that students' self-regulated actions impact their academic success in an online learning environment. However, because traditional online learning systems cannot personalize feedback to the student's personality, most students have less chance to obtain helpful suggestions for enhancing their knowledge linked to their learning problems. This paper incorporated self-regulated online learning in the Physics classroom and used a personalized learning approach to help students receive proper learning paths and material corresponding to their learning preferences. This study...