Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This paper explores the role of generative AI (GenAI) in supporting creativity within architectural education through the lens of a student-led AI drawing competition. The research addresses two questions: (1) how creative are students' text prompts and the resulting AI-generated images, and is there a relationship between them? and (2) to what extent do students perceive GenAI as a supportive tool in their creative process? Drawing on a mixed-methods approach, the study combines semantic analysis of text prompts, aesthetic evaluation of AI-generated images, and a Creativity Support Index (CSI) survey, complemented by sentiment analysis of student feedback. The semantic analysis reveals...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Existing Predictive Learning Analytics (PLA) systems utilising machine learning models show they can improve teacher practice and, at the same time, student outcomes. The accuracy, and related errors, of these systems can negatively influence their adoption. However, little effort has been made to investigate the errors made by the underlying models. This study focused on errors of models predicting students at risk of not submitting their assignments. We analysed two groups of error when the model was confident about the prediction: (a) students predicted to submit their assignment, yet they did not (False Negative; FN), and (b) students predicted not to submit their assignment yet they...

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Metodología: estudio empírico

Temas: inteligencia artificial

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AI tutors are becoming the new faces of digital classrooms, but these faces may determine who is trusted and who is ignored. Anthropomorphic avatars designed to increase engagement, may also activate social heuristics that reproduce offline patterns of bias. Yet little empirical research has examined how these identity cues shape epistemic trust and enacted reliance in AI-mediated learning. This study addresses this gap by systematically isolating their effects on learners' evaluative judgments and behavioral uptake in diverse learning contexts. Two experiments examined how avatar race, gender, and age shape trust in AI-mediated education. Study 1 (N = 102) used a within-subjects laboratory...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The integration of Artificial Intelligence (AI) into higher education, particularly through Academic Performance Prediction (APP), promises enhanced educational outcomes. However, it simultaneously raises concerns regarding data privacy, potential biases, and broader socio-technical implications. Our study, focusing on Germany–a pivotal player in shaping the European Union's AI policies–seeks to understand prevailing perceptions of APP among students and the general public. Initial findings of a large standardized online survey suggest a divergence in perceptions: While students, in comparison to the general population, do not attribute a higher risk to APP in a general risk assessment,...

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Tipo: artículo

Metodología: estudio empírico

Temas: certificación

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Las exigencias actuales académicas y laborales están marcando cambios significativos en el aprendizaje de segundas lenguas. En la actualidad, empresas y universidades demandan certificados internacionales que acrediten el nivel de adquisición de una segunda lengua. El examen DELE es una de las pruebas más reconocidas de certificación internacional del nivel de español. El objetivo de este artículo es analizar la percepción que los estudiantes taiwaneses de español como segunda lengua tienen del examen de certificación DELE A1. Se ha utilizado una metodología basada en cuestionarios, obteniéndose una muestra representativa de 120 candidatos que se han participado en el examen DELE A1...

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Metodología: estudio empírico

Temas: inteligencia artificial

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This study introduces a novel method for explainable speaking skill assessment that utilizes a unique dataset featuring video recordings of conversational interviews for high-stakes outcomes (i.e., admission to high schools and universities). Unlike traditional automated speaking assessments that prioritize accuracy at the expense of interpretability, our approach employs a new multimodal dataset that integrates acoustic and linguistic features, visual cues, turn-taking patterns, and expert-derived scores quantifying various speaking skill aspects observed during interviews with young adolescents. This dataset is distinguished by its open-ended question format, which allows for varied...

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Metodología: estudio empírico

Temas: factores afectivos

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El presente estudio analiza las percepciones de 34 hablantes bilingües y multilingües sobre las emociones y la lengua preferida para hacer uso del lenguaje emocional. La recogida de datos se hizo mediante el cuestionario The Bilingualism and Emotion Questionnaire que permitió obtener información sobre algunos factores sociobiográficos, el historial lingüístico y las prácticas lingüísticas actuales de los informantes, así como sobre la lengua preferida para expresar emociones y sentimientos concretos. Los resultados mostraron una clara preferencia por la primera lengua para expresar emociones. Sin embargo, esta preferencia no es exclusiva, puesto que en varios casos se escogieron otras...

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Metodología: estudio empírico

Temas: inteligencia artificial

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A few limited efforts have been made to promote artificial intelligence (AI) literacy for citizens. The objective of this study was to design, implement and evaluate an AI literacy course for university students. One of the study's research questions was whether university students from a variety of disciplines could develop a conceptual understanding of AI through a literacy course. We promoted this course to 4000 students and recruited 120 volunteer participants to attend and complete the 7-h course. The results of our pre-course and post-course surveys indicated that the participants made significant progress in understanding AI concepts, felt empowered to work with AI. These findings...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Educators are facing the challenge of redesigning curricula to integrate artificial intelligence (AI) and machine learning (ML) methods in a way that is relevant and engaging to youth. Design-based research (DBR) presents a unique opportunity to conduct iterative re-design of these curricula while incorporating feedback from stakeholders including youth and professionals in the field. In this paper we present a mixed methods analysis of the iterative design of an informal science-integrated ML curriculum for high school youth enrolled in a four-week summer program. Each step of the two year DBR process was informed by input from our advisory board consisting of alumni and industry experts....

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Metodología: estudio empírico

Temas: inteligencia artificial

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This paper examines the determinants that drive ChatGPT use in learning among Indonesian Higher Education Institutions (HEIs) students. A proposed model based on the unified theory of acceptance and use of technology model-2 (UTAUT2) was used in the context of the study. A pilot study was done prior to the main data collection to examine the reliability of the instrument. For the structural model assessment, 1117 responses were analyzed through Partial Least Square Structural Equation Modeling (PLS-SEM) and Importance-Performance Analysis (IPMA). Most hypotheses are confirmed by the significant results reported through the PLS-SEM. The strongest determinant of Behavioral Intention (BI) to...

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