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-...

Ver ficha completa

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)...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Writing proficiency is an essential skill for upper secondary students that can be enhanced through effective feedback. Creating feedback on writing tasks, however, is time-intensive and presents a challenge for educators, often resulting in students receiving insufficient or no feedback. The advent of text-generating large language models (LLMs) offers a promising solution, namely, automated evidence-based feedback generation. Yet, empirical evidence from randomized controlled studies about the effectiveness of LLM-generated feedback is missing. To address this issue, the current study compared the effectiveness of LLM-generated feedback to no feedback. A sample of N = 459 upper secondary...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Large language models have recently been proposed as tools for automated essay scoring, but their agreement with human grading remains unclear. In this work, we evaluate how LLM-generated scores compare with human grades and analyze the grading behavior of several models from the GPT and Llama families in an out-of-the-box setting, without task-specific training. Our results show that agreement between LLM and human scores remains relatively weak and varies with essay characteristics. In particular, compared to human raters, LLMs tend to assign higher scores to short or underdeveloped essays, while assigning lower scores to longer essays that contain minor grammatical or spelling errors. We...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The present study investigates the effectiveness of a GenAI-based chatbot, “Reading Bot,” in reducing foreign language reading anxiety (FLRA) and improving foreign language reading performance (FLRP) among Chinese secondary school students learning English as a foreign language (EFL). To do so, a mixed-methods quasi-experimental pre-test/post-test design with qualitative interviews was employed. After ensuring homogeneity between the two groups, one class was designated as the experimental group (n = 42), utilizing a chatbot as a treatment, while the other class served as the comparison group (n = 42), receiving traditional teacher support. Both groups participated in five 45-min reading...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: ser y estar

Resumen:

Texto completo

Estudiantes universitarios estadounidenses de español están expuestos a la imagen mental de asociaciones para diferenciar los usos de los verbos 'ser' y 'estar'. Los usos de estos verbos presentar desafíos especiales para angloparlantes para quienes el verbo "ser" se usa generalmente para tanto 'ser' como 'estar'. Este estudio demuestra que los estudiantes con una breve exposición a las imágenes visuales asociadas con los usos de "ser" y "estar" muestran una  mejora en su habilidad para distinguir el uso correcto de cada verbo sobre los estudiantes sin dicha exposición. Los resultados del estudio apuntan el valor de incluso una breve exposición a imágenes mentales y visuales...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Large Language Models (LLMs) can have a transformative effect on a variety of domains, including education, and it is therefore pressing to understand whether these models have knowledge of – or, in other words, how they have encoded – the specific pedagogical requirements of different educational domains, and whether they use this when performing educational tasks. In this work, we propose an approach to evaluate the knowledge – or encoding – that the LLMs have of the Common European Framework of Reference for Languages (CEFR), and use it to evaluate five modern LLMs. Our study shows that the suite of tasks we propose is quite challenging for all the LLMs, and they often provide results...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

OpenAI's latest version of Generative Pre-Trained Transformer, GPT-3, has caused a lot of debates and controversies worldwide concerning its deployment and possible uses. Therefore, the current research objective is to develop a proposed model based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) with other much-related factors to examine the role of ChatGPT adoption services in enhancing student communication and collaboration skills in developing countries (e.g., Jordan). This study also investigates the mediating role of performance expectancy and the moderating role of innovativeness toward these services. The online questionnaire was used as an instrument to...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: fraseología

Resumen:

Texto completo

Las guías turísticas están pensadas para atraer la atención del viajero hacia un destino determinado y proporcionarle información sobre todo en las etapas de un viaje ya emprendido (on trip). Esta información, de índole tanto descriptiva como prescriptiva o práctica, pero también valorativa, es presentada mediante recursos propios de la retórica artistotélica gracias a una fraseología híbrida, objetiva y subjetiva, que las caracteriza como género estereotipado no solo en su estructura y expresión lingüística, sino también en su contenido. Esta estereotipia se propaga, además, a través de la traducción, la cual refuerza su carácter de género textual prefijado. Lo podremos comprobar en el...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This multi-informant mixed-methods study uses a concurrent parallel sampling approach to investigate undergraduate students' and faculty's perceptions of utilizing AI in teaching and learning at U.S. universities. A survey developed based on the Technology Acceptance Model, Social Influence Theory, and existing literature was implemented to collect undergraduate students' data regarding students' perceived AI learning environment, perceived others' attitudes toward AI, and personal attitudes toward AI. Faculty's opinions were collected through semi-structured interviews in accordance with the survey variables. Quantitative findings indicated that the effect of the AI learning environment on...

Ver ficha completa