Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The purpose of this research was to investigate attitudes of both students and teachers concerning Artificial Intelligence (AI) tools in the L2 classroom. The study was a descriptive, qualitative, mixedmethods case study whose data were taken from a purposive, convenient sample at a private, English-speaking university during the Summer Semester 2023 in Beirut, Lebanon. Data collection primarily involved an online survey on Google forms which was given to a sample of 49 students taking a research-based English 202 course of which 46 were completed. Afterwards, six English teachers and six students were chosen based on their voluntary will to participate in individual interviews for the...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: prosodia

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Presentación del monográfico, en edición bilingüe español-inglés. Los editores invitados trazan el estado de la cuestión de la investigación prosódica: el fuerte crecimiento de los estudios sobre entonación y prosodia desde el último tercio del siglo XX, impulsado por instrumentos de análisis acústico más precisos y por el acceso a grandes volúmenes de datos, y la consolidación de distintos modelos descriptivos de la entonación y de los fenómenos prosódicos y expresivos asociados.

Contenido: presenta los trabajos del número, dedicados al análisis melódico de la entonación en varias lenguas y en la interlengua de aprendices. Incluye...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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Understanding and improving education are critical goals of learning analytics. However, learning is not always mediated or aided by a digital system that can capture digital traces. Learning in such environments can be studied by recording, processing, and analyzing different signals, including video and audio, so that traces of actors’ actions and interactions are captured. Multimodal Learning Analytics refers to analyzing these signals through the use and integration of these multiple modes. However, a need exists to evaluate how research is conducted in the emerging field of multimodal learning analytics to aid and evaluate how these systems work. With the growth of multimodal...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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In this work, we study the feasibility of using machine learning and natural language processing methods for assessing writing proficiency in Danish with respect to text construction, sentence construction, and use of modifiers. Our work is based on the analytical framework for scoring early writing proposed by Kabel et al. (2022), where each text is first annotated by a human expert according to a predefined coding scheme and subsequently scored using statistical Rasch modeling (Rasch, 1960). We investigate two different strategies for estimating these scores automatically: 1) we propose a system for identifying the central linguistic features automatically mimicking the role of the human...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Reflection and goal-setting are interrelated processes in well-established educational theories to promote in-depth self-reflection and self-regulated learning. Prior studies have considered reflection to be an important antecedent for meaningful goal-setting. Yet, there lacks empirical evidence to shed light on how students' abilities to reflect inform their abilities to set goals. Hence, in the present study, we aimed to quantify the connection between students' retrospective reflection and their subsequent goal-setting, and derive more in-depth insights to benefit educators in their teaching to promote deeper reflection, more specific goal-setting and better self-regulation. To this end...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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Nowadays, Artificial Intelligence (AI) literacy has become an emerging topic in digital literacy education research. However, it is still under-explored in early childhood education (ECE) since the AI curriculum for young children has just been designed in recent years. A scoping review was conducted to examine the thematic and content analysis of 16 empirical papers from 2016 to 2022. This scoping reviews evaluate, synthesize, and display 16 studies on AI literacy in early childhood education, including curriculum design, AI tools, pedagogical approaches, research designs, assessment methods, and findings. The discussion of the AI literacy implementation in ECE contributes to...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The coronavirus disease – 2019 pandemic has accelerated the proliferation of virtual technologies and had have an enormous impact on education. In this paper, we analyse teachers’ perceptions about the use of the metaverse in educational practices and how it contributes to the local development. We focused our study in China and Spain as reference countries in the metaverse, but whose collaboration, in this arena, is not significant. For that purpose, we designed a questionnaire to explore the views of 20 teachers from each of the two universities selected, one in China and the other one in Spain, which applies an innovation and entrepreneurship education. The results show that the...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Multimodal video analysis is a complex and time-consuming process for a researcher; it entails capturing, watching, and re-watching video data to identify which segments best inform or address the questions that drive the research. Modern AI applications can alleviate the challenges that arise during the fine-grained analysis of learners' multimodal interactions captured through video. In this study, we present a supervised approach to training a deep neural network to analyze children's computational thinking (CT) captured through multimodal video data. The approach first uses a set of images extracted from video data to train the AI to map them to labels generated using a priori theory....

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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With machine learning becoming more and more prevalent in society, it also becomes a topic that is relevant for general K12 education. At the same time, modern machine learning is relying heavily on mathematics, requiring novel approaches to teaching it in settings where a full coverage is not possible. In this context the study presented here investigates the conceptions that students have about the workings of a particular type of machine learning system before and after a short workshop. Students (N = 57) gave open ended answers that were analyzed qualitatively, following the approach of phenomenography. The resulting model was then validated with semi-structured interviews with...

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Metodología: estudio empírico

Temas: inteligencia artificial

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We are rapidly moving into an era where AI and robots are part of everyday interactions in society and education, and there are immense discussions today about current and future technologies. Still, children are often not included in this discussion, while there is much to learn from current uses and children's understandings of AI and robotics. The study is based on a seven-month ethnographical work that details the implementation of a robot in two preschool groups of children aged 1–2 and 3–5 (n = 38). The study descriptively combines a framework for children's play analysis with explorative qualitative child interviews (n = 6) with the 3-5-year-olds to examine how children play with the...

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