estudio empírico

El objetivo de este artículo es reflexionar sobre algunas dificultades que surgen a la hora de caracterizar pragmática y prosódicamente los marcadores discursivos interaccionales. En particular, nos referimos al análisis de la partícula mmh en conversaciones espontáneas entre estudiantes universitarios italianos de español lengua extranjera. Dos estudios preliminares, el primero, desde una perspectiva pragmática perceptiva y, el segundo, basado en el análisis acústico (frecuencia fundamental, velocidad de habla e inflexiones de las curvas entonativas), han revelado que el carácter polifuncional de esta vocalización no queda plenamente reflejado en su prosodia. La dificultad está en que su...

Evaluating the potential of ChatGPT-reformulated essays as written feedback in L2 writing

Yingzhao Chen (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Reformulation is a form of written corrective feedback to help second language (L2) learners improve their writing. This study examined whether ChatGPT could produce reformulations that (1) retain the meanings of the original essays and (2) are linguistically more developed than learners’ original essays. In addition, three types of ChatGPT prompts were compared to see which type yielded better reformulations. One thousand two hundred argumentative essays written for the TOEFL iBT® independent writing task were submitted to ChatGPT. ROUGE-L scores, used as a proxy for meaning retention, showed that ChatGPT reformulations largely retained the meaning of the original essays. A qualitative...

Accelerating online learning: Machine learning insights into the importance of cumulative experience, independence, and country setting

Nora A. McIntyre (2022)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Cumulative experience is important for developing expertise through in-person learning, along with country setting and gender, but evidence is limited the role of these features in online learning. Yet, COVID-19 has catalysed the centrality of online learning, such that the efficacy of online learning is now highly relevant. Although the Pandemic triggered a surge of self-report and literature review research on stakeholder perceptions of online learning, less educational research has used big data to understand online learning. Therefore, the present research mined online learning data to identify features that are important for developing expertise in online learning. Data mining of 54,...

New systems of learning for distance learning institutions? A six-study review of implementing AIDA

Bart Rienties, Tim Coughlan, John Domingue (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study examines how a large-scale distance learning institution in the UK designed, implemented, and evaluated an artificial intelligence digital assistant (AIDA) using Sharples' (2025) embedded systems approach. Through six iterative Design-Based Research studies over 18 months, involving 498 students and 20 staff, we explored three questions: (1) how perceptions of AIDA change with experience; (2) its impact on engagement and learning; and (3) how GenAI can be responsibly deployed at a system level. Early Studies 1–3 gathered student preferences for AIDA's design and identified benefits of 24/7, context-specific support alongside concerns over ethics, academic integrity, and data...

How to responsibly deploy a predictive modelling dashboard for study advisors? A use case illustrating various stakeholder perspectives

Anouschka van Leeuwen, Marije Goudriaan, Ünal Aksu (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Most higher education institutions employ study advisors to support their students. To adequately perform their task, study advisors have access to study information about their students. Using AI techniques to analyze that information and to predict if a student might be at risk of study delay could be a valuable tool in study advisors' practice. In this paper, we present a use case of how such a tool was developed (in the form of a dashboard) and which steps and considerations played a role in the responsible deployment of the tool. Three aspects are described: first, we present the timeline of the case study and zoom in on how the macro-level of the institution (where the groundwork is...

Precisión lingüística y complejidad sintáctica

Irini Mavrou (2012)

Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas

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Tipo: artículo

Metodología: estudio empírico

Temas: sintaxis

Resumen:

El principal objetivo del presente estudio fue examinar el posible vínculo entre precisión lingüística y complejidad sintáctica en el discurso escrito de aprendices griegos de E/LE, a partir de una tarea narrativa llevada a cabo sin tiempo de planificación. Considerando la complejidad sintáctica como un índice de interés a la hora de abordar la producción textual un segundo objetivo que se estableció fue hacer una comparación del grado de elaboración sintáctica entre nativos de español y aprendices de E/LE a partir de la misma tarea de producción escrita. Los análisis estadísticos mostraron una ausencia de asociación entre precisión lingüística y complejidad sintáctica, lo cual no parece...

U.S. college students’ acceptability and educational benefits of ChatGPT from a digital divide perspective

Ceciley (Xinyi) Zhang, Laurent H. Wang, Ronald E. Rice (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

ChatGPT has diffused widely and rapidly, with diverse positive and negative implications. In educational settings it is important to understand students' perceptions of the acceptability of ChatGPT for various learning activities and to examine whether prior digital divide concerns pertain to this digital innovation, in order to provide guidance for users, inform policymakers and other stakeholders, and extend digital divide research. The purpose is to investigate the associations of socioeconomic status (SES, both family and student), gender, and race/ethnicity with students’ perceived acceptability of common ChatGPT activities as well as their opinion about how beneficial ChatGPT is for...

Sources of variation in Galician multilinguals’ attitudes towards Galician, Spanish, English and French

Jean-Marc Dewaele, Carmen Pena Diaz (2018)

Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas

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Tipo: artículo

Metodología: estudio empírico

Temas: actitudes lingüísticas

Resumen:

In this study we investigate the sources of individual differences in the language attitudes of 125 students enrolled in a language school in La Coruña (Galicia). Attitudes towards Galician, Spanish, English and French were found to be linked to self-perceived proficiency in all languages except Spanish. The type of upbringing (monolingual or bilingual) was found to affect attitudes towards Galician and Spanish. Age of onset of learning had an effect only on attitudes towards Galician. Exposure to foreign languages through television corresponded with more favourable attitudes towards these languages. Visits to the foreign country had a similar effect on attitudes towards English but...

Sequential, typological, and academic dynamics of self-regulated learners: Learning analytics of an undergraduate chemistry online course

Ken-Zen Chen, Shao-Chi Li (2021)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This research explored the typologies of self-regulated learners in an asynchronous online Chemistry I (OCI) course of an undergraduate active learning program. Student readiness and capability regarding self-regulated learning (SRL), the activity logs in the learning management system, and academic achievement were collected to investigate behavioral sequences of different typologies of learning self-regulation. Seventeen students who took OCI in the 2019 school year were recruited for the study. Through learning analytics for the 3965 behavioral codes, the study generated three key results. First, hierarchical cluster analysis classified two typologies of self-regulated online learners:...

Conversational AI in children's home literacy learning: effectiveness, advantages, challenges, and family perception

Shuang Quan, Xintian Tu-Shea, Yi Ding (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study investigates the effectiveness, affordances, limitations, and family perceptions of conversational AI for home literacy learning vs. human. We developed a large language model (LLM)-powered conversational AI system, named Vovo, to teach children vocabulary and co-construct stories using structured literacy pedagogy. The system was tested in home environments over six weeks with 10 families and their children aged 3–7 (M = 5.4). Across 150 learning sessions, Vovo delivered structured literacy instruction as effectively as parents, though children achieved higher learning outcomes when learning with parents. Video analysis revealed Vovo's advantages in pedagogical consistency,...