estudio empírico

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Although there is growing attention to artificial intelligence (AI) ethics education with the rapid surge of AI technology, little research has explored the use of problem-solving to cultivate students' AI ethical awareness. To address this gap, this study developed a scale to multidimensionally measure AI ethical awareness and cultivated students' AI ethical awareness through problem-solving using AI tools within an AI literacy course. A total of 573 Hong Kong secondary and university students participated in a 14-h course. Data was collected through the AI Ethical Awareness Scale (AIEAS) questionnaire and students' self-reflective writings. The AIEAS framework, encompassing three...

Interferencias de lengua materna en producciones escritas de adultos brasileños aprendientes de ELE. Análisis de la estructuración léxica y ortográfica

Ana Luisa Cardoso, Cristina Zambra (2022)

Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas

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Tipo: artículo

Metodología: estudio empírico

Temas: influencia de la L1

Resumen:

En este artículo nos proponemos presentar los problemas lingüísticos en el marco etiológico –inter e intralingüístico– verificados en la interlengua de brasileños adultos aprendientes de español como lengua extranjera (ELE). Más específicamente damos énfasis a los errores que presentan estos aprendices en la escritura en español, considerando especialmente la estructuración lexical y la ortografía. El corpus del estudio fue recopilado de 56 producciones escritas (34 de nivel intermedio y 22 de nivel avanzado) de brasileños en edad entre 16 y 56 años que acudieron al examen de dominio del español aplicado por universidades argentinas –el Certificado de Español: Lengua y Uso (CELU)....

Exploring the relationships among perceived AI ability, academic self-efficacy and independent learning disposition in the tertiary contexts

Lok Ming Eric Cheung, On-Ting Lo, Huiwen Shi (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

As generative AI (GenAI) becomes increasingly embedded in higher education, this study examines how students' perceived AI ability (AIA) relates to their independent learning disposition (INL) and academic self-efficacy (ASE). We administered a quantitative survey to 302 undergraduate students in Hong Kong. Results indicated significant positive correlations among AIA, INL, and ASE. Mediation analysis further showed that INL mediates the association between AIA and ASE: students who perceive themselves as more capable with AI also report stronger independent learning dispositions, which in turn are linked to higher academic self-efficacy. We discuss the potential of AI tools to scaffold...

Are deeper reflectors better goal-setters? AI-empowered analytics of reflective writing in pharmaceutical education

Yuheng Li, Mladen Raković, Wei Dai (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Reflection and goal-setting are interrelated processes in well-established educational theories to promote in-depth self-reflection and self-regulated learning. Prior studies have considered reflection to be an important antecedent for meaningful goal-setting. Yet, there lacks empirical evidence to shed light on how students' abilities to reflect inform their abilities to set goals. Hence, in the present study, we aimed to quantify the connection between students' retrospective reflection and their subsequent goal-setting, and derive more in-depth insights to benefit educators in their teaching to promote deeper reflection, more specific goal-setting and better self-regulation. To this end...

From AI anxiety to strategic regulation: How university students transform generative AI into a strategic learning resource

Eunjeo Kim (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study examined how university students engaged with generative AI as a strategic learning resource in academic writing tasks, with particular attention to the role of AI anxiety. Using an explanatory sequential mixed-methods design, survey data and post-task written reflections were collected from 107 university students. The quantitative analysis examined the relationships among AI anxiety, evaluative capacity, ethical awareness, and regulatory engagement, while the qualitative analysis explored how students described verifying, revising, selectively adopting, or rejecting AI-generated content during actual academic writing tasks. The findings showed that AI anxiety was positively...

Standardized assessment of LLM English proficiency

Shaonan Wang, Shangchao Min, Hui Wang (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Large language models (LLMs) are increasingly used in language learning and assessment, yet their English proficiency is seldom reported against interpretable proficiency standards. We introduce the China’s Standards of English Language Ability (CSE) framework to assess the proficiency levels and subskills of LLMs. The test is referred to as the CSEBench and comprises 624 expert-annotated multiple-choice items across CSE Levels 2–7. Each item is accompanied by metadata, including difficulty level and subskill labels covering vocabulary, syntax, phonology, and cohesion/discourse. Critically, the dataset includes test responses from 2,050 middle school and and sophomore college students who...

Evaluating the AI dialogue System's intercultural, humorous, and empathetic dimensions in English language learning: A case study

Chunpeng Zhai, Santoso Wibowo, Lily D. Li (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The rise of artificial intelligence (AI) technologies has been notable in supporting English as an Additional Language (EAL) learners, particularly in offering interactive assessments. AI-driven dialogue systems that produce culturally relevant humor and empathy, bridging the native language (L1) and the target language (L2), have been employed to engage EAL learners more effectively and boost their learning results. However, there's a noticeable gap in research concerning the fusion of humor, empathy, and intercultural dimensions in language learning. Intercultural dimensions encompass acquiring crucial knowledge, communication skills, and the values essential for meaningful interactions...

Novices’ conceptions of machine learning

Andreas Mühling, Gregor Große-Bölting (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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With machine learning becoming more and more prevalent in society, it also becomes a topic that is relevant for general K12 education. At the same time, modern machine learning is relying heavily on mathematics, requiring novel approaches to teaching it in settings where a full coverage is not possible. In this context the study presented here investigates the conceptions that students have about the workings of a particular type of machine learning system before and after a short workshop. Students (N = 57) gave open ended answers that were analyzed qualitatively, following the approach of phenomenography. The resulting model was then validated with semi-structured interviews with...

Artificial intelligence in higher education: Modelling students’ motivation for continuous use of ChatGPT based on a modified self-determination theory

Nagaletchimee Annamalai, Brandford Bervell, Dickson Okoree Mireku (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The purpose of this study was to investigate the determinants of higher education students' motivation towards continuous usage of ChatGPT for English language learning, based on a modified Self-Determination Theory (SDT). A quantitative approach hinged on a cross-sectional survey design was adopted, and an online questionnaire used to collect data from 324 students studying English as Foreign Language (EFL) and English as a Second Language (ESL). The data were analyzed using a Partial Least Squares-Structural Equation Modelling (PLS-SEM) technique. This study established that initial ChatGPT usage determined students' perceived autonomy, competence, relatedness and challenges in ChatGPT...

Assessing the importance of variables from a revised technology acceptance model for the use of ChatGPT by university students

Klint Allen Mariñas, Charmine Sheena Saflor, Princess Alvarado (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Students and researchers are increasingly relying on ChatGPT as a tool to search for information, generate content, make translations and offer research support. This study employs nine variables derived from the Technology Acceptance Model to evaluate whether the variables can predict ChatGPT use among university students in the Philippines. To achieve this, a survey was carried out. Data was collected from 340 students across various faculties of a university. The data were analyzed with structural equation modeling (SEM). The model predicts that the nine variables that reflect students' perceptions towards ChatGPT, are indirectly or directly related to the students' use of ChatGPT. The...