Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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In higher education, delivering effective feedback is pivotal for enhancing student learning but remains challenging due to the scale and diversity of student populations. Learner-centered feedback, a robust approach to effective feedback that tailors to individual student needs, encompasses three key dimensions—Future Impact, Sensemaking, and Agency, which collectively include eight specific components, thereby enhancing its relevance and impact in the learning process. However, providing consistent and effective learner-centered feedback at scale is challenging for educators. This study addresses this challenge by automating the analysis of feedback content to promote effective learner-...

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Tipo: artículo

Metodología: estudio empírico

Temas: cortesía verbal

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Estudios sobre el modo de realizar las peticiones en los entornos presenciales señalan que, en situaciones en las que existe una distancia social grande entre los interlocutores, el hablante buscará salvaguardar la imagen del oyente y mitigar la imposición mediante el uso de estrategias de cortesía negativa o indirecta. En los entornos virtuales por el contrario, un número creciente de estudios señala que ante la petición, los participantes tienden a emplear estrategias de cortesía positiva en vez de negativa o emplean la cortesía lingüística de un modo distinto al de los entornos presenciales. En este estudio presentamos un análisis de las peticiones y estrategias de cortesía empleadas...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This study investigates the factors influencing the adoption of Artificial Intelligence (AI) by secondary school teachers in Catalonia. Using a Partial Least Squares Structural Equation Modelling (PLS-SEM) methodology, a conceptual model was analyzed that includes AI perception, AI knowledge, General data use, Applied data use, and STEM training as predictors of AI adoption. The results reveal that AI knowledge (β = .482, p < .001) and General data use (β = .288, p = .001) are the most significant and positive predictors of AI adoption. In contrast, AI perception shows a weak but statistically significant negative relationship (β = -.105, p = .022), while applied data use and STEM...

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Tipo: artículo

Metodología: estudio empírico

Temas: pragmática

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Cuando los aprendientes de una lengua extranjera se enfrentan a ella, además de asimilar una nueva gramática y un vocabulario diferente, con el fin de evitar errores pragmalingüísticos y sociopragmáticos, deben aprender a ver el mundo a través de una nueva pragmática. La web del corpus que se presenta es un recurso avanzado pensado para enseñar pragmática en una clase ELE a diversos niveles. A su vez, analiza y compara en nativos y no nativos la realización de tres actos de habla conflictivos para los aprendientes de una lengua extranjera (los cumplidos, el rechazo y las disculpas). Además, dada su naturaleza multimodal, también se pueden analizar y comparar las diferencias en el lenguaje...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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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...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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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...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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With the rapid advancement of artificial intelligence (AI) and its increasing integration into education, the early childhood education sector has begun to explore the potential of AI integration. As key agents in the classroom integration of technology, preschool teachers' willingness to use AI directly impacts the effectiveness of AI implementation in early childhood education. Grounded in an extended framework of the Technology Acceptance Model, this study investigates the mechanisms through which perceived usefulness (PU), perceived ease of use (PEOU), subjective norm (SN), AI anxiety (AIA), and AI self-efficacy (AISE) influence preschool teachers' behavioral intention (BI) to use AI. A...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Classroom teachers are usually responsible for creating materials to meet students' needs and course requirements. The arrival of generative AI, such as ChatGPT, offers EFL teachers an opportunity to regularly collaborate with AI chatbots to create new source materials. The writing experiments in this study considered how to effectively and ethically work with generative AI to produce culturally appropriate EFL teaching materials. The experiments involved co-producing moral dilemmatic stories with ChatGPT to support a new Chinese EFL curriculum unit on “Morals and Virtues”. We draw on Lo's (2023a, 2023b) CLEAR framework for prompt engineering to generate appropriate stimulus materials. We...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Artificial Intelligence (AI) and Computer Vision (CV) have rapidly permeated various industries, increasing demand for professionals well-versed in these disciplines. In response to this need, this study evaluates the effectiveness of a novel undergraduate course that aims to equip students with foundational AI and CV knowledge and skills. Unlike existing software-centric courses, this class capitalizes on drones as a practical application area for AI and CV, fostering an active learning environment. The course was conducted over five semesters at a U.S. research institution, with 153 participating students. Data were collected using diverse methods, including formative and summative...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Large language models (LLMs) are transforming higher education, yet their learning benefits likely depend on students’ AI literacy and how they prompt and verify AI outputs. This mixed-methods study investigates how AI literacy relates to prompting proficiency and verification behavior, and how these behaviors operate through two mechanisms, trust calibration and extraneous cognitive load, to predict coursework performance across two discipline–institution contexts in Thailand. The author surveyed Design students (n = 221) and Business students (n = 222) and analyzed the data using multigroup structural equation modeling, complemented by thematic analysis of semi-structured interviews....

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