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  • estudio empírico

Bibliografía: estudio empírico

Nº de publicaciones: 2168
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Developing an artificial intelligence literacy framework: Evaluation of a literacy course for senior secondary students using a project-based learning approach
Siu-Cheung Kong, Man-Yin William Cheung, Olson Tsang (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The advent of artificial intelligence (AI) in the workplace is pressuring employees to learn how to harness this technology. The goal of promoting AI literacy is to equip educated citizens with the readiness to apply AI. The aim of this study is to provide evidence to guide the development of an AI Literacy Framework to prepare educated citizens to participate in future society. We report on a 14-h AI literacy course for senior secondary students, emphasising problem-solving competence development and adopting the project-based learning approach. One hundred and twenty-eight students completed the course, and a mixed-methods analysis was conducted to evaluate the results. A post-course test...

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A mixed-methods analysis of AI scaffolding patterns and student inquiry profiles in a middle-school agriculture-STEM classroom
Selcuk Kilinc, Tugce Aldemir, Kamila Misiejuk (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study examines how generative AI can support middle school scientific inquiry in a rural agriculture-STEM classroom. Using a mixed-methods design with concurrent data collection and sequential analytic integration, we analyzed 42 eighth-grade students, organized into 12 groups, as they used Aspen, a custom AI chatbot, to revise scientific research questions and hypotheses around a sustainable agriculture problem. Data sources included group project journals, AI interaction logs, and peer discussion transcripts. First, a two-dimensional profiling method categorized the 12 groups into four analytic profiles: Struggling, Most Improved, Perfectionists, and High Achievers, based on initial...

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Developing and validating measures for AI literacy tests: From self-reported to objective measures
Thomas K.F. Chiu, Yifan Chen, King Woon Yau (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The majority of AI literacy studies have designed and developed self-reported questionnaires to assess AI learning and understanding. These studies assessed students' perceived AI capability rather than AI literacy because self-perceptions are seldom an accurate account of true measures. International assessment programs that use objective measures to assess science, mathematical, digital, and computational literacy back up this argument. Furthermore, because AI education research is still in its infancy, the current definition of AI literacy in the literature may not meet the needs of young students. Therefore, this study aims to develop and validate an AI literacy test for school students...

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Estrategias esenciales de producción de los turnos de apoyo verbales en estudiantes de ELE. Resultados preliminares
Javier Pérez Ruiz (2009)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: interacción

Resumen:

Texto completo

El Análisis de la Conversación, desde una mentalidad sociolingüística, ha enfatizado el carácter interactivo de la conversación como prototipo de la interacción social comunicativa. La conversación es, sobre todo, una construcción compartida entre interlocutores que producen un doble sistema de turnos, por un lado los turnos de habla, dotados de contenido referencial, que facilitan el intercambio de información, y, por otro, los turnos de apoyo emitidos por el oyente, que, aunque suelen carecer de contenido, tienen la función de comunicar al hablante el seguimiento y la participación en el acto comunicativo. En este marco teórico la conversación es entendida como una construcción...

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Perceived MOOC satisfaction: A review mining approach using machine learning and fine-tuned BERTs
Xieling Chen, Haoran Xie, Di Zou (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study investigates the application of machine learning and BERT models to identify topic categories in helpful online course reviews and uncover factors that influence the overall satisfaction of learners in massive open online courses (MOOCs). The research has three main objectives: (1) to assess the effectiveness of machine learning models in classifying review helpfulness, (2) to evaluate the performance of fine-tuned BERT models in identifying review topics, and (3) to explore the factors that influence learner satisfaction across various disciplines. The study uses a MOOC corpus containing 102,184 course reviews from 401 courses across 13 disciplines. The methodology involves...

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Factors affecting acceptance of ChatGPT-4o by English language instructors: The extended TAM approach
Eylem Kฤฑlฤฑç, H. Eray Çelik (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial intelligence-based educational technologies, especially ChatGPT-4o, have the potential to revolutionize education, and the adoption of these technologies is closely related to perceptual and emotional status of the users. The present study investigated the factors affecting the adoption of ChatGPT-4o by English language instructors in Turkey using Extended Technology Acceptance Model. Stratified sampling was used to select 30 universities in the “Social Sciences and Humanities-Language and Literature” category, with quality scores between 20 and 60. A total of 480 English Language Instructors employed at the Schools of Foreign Languages at these universities participated in the...

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Effects of Google translate on lexical diversity: vocabulary development among learners of Spanish as a foreign language
Kent Fredholm (2019)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: Google Translate

Resumen:

Texto completo

This article presents the results of a longitudinal study of digital writing strategies and vocabulary development among Swedish upper secondary school pupils of Spanish as a foreign language. During one schoolyear, the pupils (N=31) wrote four essays in Spanish, a pre-test and a post-test. 15 pupils used a printed dictionary as translation tool, 16 used Google Translate (GT). Vocabulary development was measured as the change in lexical diversity from pre-test to post-test, using Guiraud’s index. The results show that the use of GT leads to higher degrees of lexical diversity as long as it is used, but that the effect vanishes when the tool is no longer used. The results point to the need...

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Investigating the mediating role of TPACK on teachers’ AI competency and their teaching performance in higher education
Xiao Tan, Gary Cheng, Man Ho Ling (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The growing integration of artificial intelligence (AI) in education has significantly influenced teachers' professional development. While AI offers substantial support for teaching practices and serves as a powerful instructional aid, it also places greater demands on teachers, prompting an urgent need for role transformation and skill enhancement. Therefore, the interplay among teachers' AI competency, technological pedagogical content knowledge (TPACK), and teaching performance has emerged as a critical area of research. This study employed a mixed-methods approach, combining questionnaire surveys with classroom observations, to assess the AI competency, TPACK levels, and teaching...

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Artificial intelligence in history education. Linguistic content and complexity analyses of student writings in the CAHisT project (Computational assessment of historical thinking)
Christiane Bertram, Zarah Weiss, Lisa Zachrich (2021)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The use of standardized test formats in the assessment of historical competencies has recently come under severe criticism, especially in the United States, where standardized tests are particularly common. History researchers have argued that open-ended items are more appropriate for assessment. However, providing largescale evaluations of open-ended answers is time consuming and poses challenges regarding the objectivity, validity, and replicability of ratings. To address this issue, we investigated the extent to which computer-based evaluation methods are suitable for evaluating student answers by combining qualitative methods from history education research with quantitative, computer-...

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Engagement in LLM chatbot-supported learning: The pivotal roles of GenAI competency and emotion
Xianhan Huang, Shiyu Zhang (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Student engagement, widely recognised as a key determinant of learning outcomes, warrants greater attention to its antecedent mechanisms for effective learning design. As LLM-based chatbots (hereafter chatbot) are increasingly used to support student learning, understanding what drives student engagement in such environments becomes especially important. Guided by appraisal theory, this study proposes a theoretically grounded model of students' engagement in chatbot-supported learning. Unlike prior studies that focus on isolated antecedents, the model integrates learners’ capacity appraisals, including technology-related (GenAI competency) and task-related (academic self-efficacy)...

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