Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The testing and diagnostic systems have been considered to be useful for students because they can point to their learning problems to provide helpful suggestions for improving the knowledge. The previous approach shows that using the knowledge from multiple experts can develop a testing and diagnostic system that provides more accurate suggestions for learners comparing to the system using a single expert. Nevertheless, the low-quality knowledge integration method of the multi-expert approach can provide some inaccurate learning suggestions. This work proposes a practical method for enhancing knowledge integration from multiple experts to provide more effective learning suggestions. An...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Relying on human experts to evaluate the Common European Framework of Reference for Languages (CEFR) speaking assessments in an e-learning environment creates scalability challenges, as it limits how quickly and widely assessments can be conducted. We aim to automate the evaluation of CEFR B2 English speaking assessments in e-learning environments from conversation transcripts. First, we evaluate the capability of leading open source and commercial Large Language Models (LLMs) to score a candidate’s performance across various criteria in the CEFR B2 speaking exam in both global and India-specific contexts. Next, we create a new expert-validated, CEFR-aligned synthetic conversational dataset...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Generative artificial intelligence (GenAI) is penetrating in various social sectors, motivating a strong need for teaching AI literacy in younger generations. While substantial efforts have been made to teach AI literacy and to use AI to facilitate learning, few studies have provided empirical accounts of students' nuanced processes of using GenAI for learning. In this study, we engaged a group of high school students in leveraging ChatGPT to support their knowledge building efforts. Following the teacher's pedagogical design, students used ChatGPT for a range of distinct purposes. Student interviews showed detailed processes of using ChatGPT for knowledge building and students' emerging AI...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Automating the process of qualitatively coding text data from learners has been a long-standing ambition of learning analytics researchers since it represents an essential step toward delivering timely and scalable feedback. Automating this process is especially challenging in the case of ordered coding schemes —necessary for temporal analytical methods— where one text utterance can be assigned more than one qualitative code and the assignment order matters. This problem goes beyond multi-class and multi-label classification and, therefore, cannot be easily tackled using classic language models such as BERT. Recent advances in generative artificial intelligence, especially with the advent...

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Metodología: estudio empírico

Temas: inteligencia artificial

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In the endeavor to advance industrial engineering and management (IEM) education, this research underscores the imperative of supporting a dynamic and responsive adaptation of a competency-based curriculum (CBC) to meet the demands of an ever-evolving industrial landscape and job market. Our study contributes to competency-based education (CBE) by demonstrating how Artificial Intelligence (AI) can inform the definition of a CBC in the IEM field, thus initiating the pioneering steps towards a collaborative human-AI approach in CBC design. Through a stepwise methodology based on semantic analysis, text mining, natural language processing (NLP) models, informetrics approaches, and clustering...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Over the last few decades, there has been growing interest in artificial intelligence (AI) and how to apply it effectively in the educational process. The behavioural intention and attitudes of teachers play an important role in this regard. The technology acceptance model (TAM) has been shown to be effective in predicting factors that may positively or negatively influence behavioural intentions to use technology. The current study therefore aims to use this model to reveal teachers’ perceptions of the factors that influence the use of AI applications in science education. This research uses the descriptive method where a 6-dimensional scale is designed based on the components of...

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Metodología: estudio empírico

Temas: inteligencia artificial

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This study investigates how cognitive, affective, and behavioral variables related to artificial intelligence (AI) build AI self-efficacy among university students. Based on these variables, we identify three meaningful student groups, which can guide educational initiatives. We recruited 1465 undergraduate and graduate students from the United States, the United Kingdom, and Germany and measured their AI self-efficacy, AI literacy, interest in AI, attitudes towards AI, and AI use. Using a path model, we examine the correlations and paths among these variables. Results reveal that AI usage and positive AI attitudes significantly predict interest in AI, which in turn and together with AI...

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Tipo: artículo

Metodología: estudio empírico

Temas: competencia intercultural

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Este artículo recoge parte de los resultados de un trabajo de fin de máster de enseñanza de ELE sobre la formación de la Competencia Intercultural Docente en los planes de formación inicial del profesorado de ELE de la Comunidad Autónoma de Madrid. Se ha realizado para ello un análisis de contenido de 54 guías docentes de los másteres oficiales de enseñanza ELE impartidos en la región. Los datos obtenidos reflejan carencias formativas en su diseño y falta de transversalidad en relación a la competencia analizada.

This article shows some of the results achieved by a Master's Thesis Degree on SFL Teaching regarding the Intercultural Teaching Competence on the SFL Teachers in Pre-...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Relational feedback is increasingly recognised for its crucial role in enhancing student-instructor relationships and promoting the assimilation of feedback. Despite its significance, no studies have tried to develop automated methods to analyse written feedback for properties of relational feedback to promote its use at scale and assist feedback providers with their relational feedback practices. This automated analysis of relational feedback can be performed as a classification task. However, traditional machine and deep learning methods for text classification typically require extensive human labelling and pose a significant challenge for educators and researchers lacking machine...

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Tipo: artículo

Metodología: estudio empírico

Temas: español como lengua de herencia

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Este artículo presenta la situación de la enseñanza del español como lengua de herencia o lengua de origen en el contexto suizo. 118 familias de niños que asistían a cursos de lengua y cultura de origen en el país respondieron a un cuestionario sobre la situación del español en el hogar, las diferentes lenguas habladas en casa, las practices de alfabetización temprana y el nivel socioeducativo de los padres y madres. El cuestionario nos permitió conocer las características de la población y discutir algunos presupuestos sobre la estructura de enseñanza y su rol en la sociedad.

This article presents the situation of the teaching of Spanish as a heritage language or language of origin...

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