Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Researchers have sought for decades to automate holistic essay scoring. Over the years, these programs have improved significantly. However, accuracy requires significant amounts of training on human-scored texts—reducing the expediency and usefulness of such programs for routine uses by teachers across the nation on non-standardized prompts. This study analyzes the output of multiple versions of ChatGPT scoring of secondary student essays from three extant corpora and compares it to quality human ratings. We find that the current iteration of ChatGPT scoring is not statistically significantly different from human scoring; substantial agreement with humans is achievable and may be...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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AI education aims to teach AI concepts, essential knowledge, and skills related to the fundamental ideas in AI. As AI becomes increasingly prevalent in our daily lives, schools and educators have started to recognize the importance of AI education in K-12 schools. However, there have been a limited number of studies reporting on the implementation of AI education in classrooms. This systematic review aimed to provide an overview of the current state of AI education in K-12 schools, exploring topics, instructional approaches, and learning outcomes. Twenty-five peer-reviewed journal articles published between 2018 and 2023 were selected for this systematic review. The findings highlighted...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This study examines the reliability and accuracy of large language models (LLMs) for automated classroom observation using the World Bank's TEACH Primary framework. As education systems increasingly explore AI-based tools to scale teacher feedback and professional development, empirical validation of these systems is critical. Using a corpus of 12 primary classroom videos, we compared 8618 AI-generated evaluations from eight LLM endpoints against consensus-based ratings from certified TEACH experts. To account for model stochasticity, each model produced 10 independent evaluations per video–element pair. Reliability was assessed using variability and inter-rater consistency indicators,...

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Tipo: artículo

Metodología: propuesta didáctica

Temas: AICLE/CLIL

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AICLE es un enfoque definido por una enseñanza integradora de contenidos de materias no lingüísticas y de una lengua extranjera, en el que esta se convierte en el medio de transmisión de conocimientos, consiguiendo así un aprendizaje paralelo. Este planteamiento favorece la estimulación de las capacidades cognitivas de los estudiantes e incrementa la cantidad de información que estos reciben en la lengua meta, por lo que se convierte en una método muy adecuado en el contexto de la educación bilingüe. En este artículo se mostrarán, por un lado, los aspectos que conforman la metodología AICLE y cómo puede ser aplicada en el aula y, por otro, el proceso y los resultados de una actividad...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Early prediction of students' primary school academic performance is crucial for planning timely interventions for those expected to struggle. Random Forest, Gradient Boosting, and Extra Trees AI techniques were used to study 2549 first graders to predict end-of-year academic performance and identify critical predictors for targeted interventions. The Extra Trees model used EPIS (Empresários pela Inclusão Social) screening to yield high F1 scores above 99.7 %, accurately identifying passing and failing students. Out of 142 variables, the top ten strongest predictors of academic success were categorized into three areas: 1) teacher perceptions of cognitive function, particularly attention (...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: comprensión lectora

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El presente artículo realiza una revisión exhaustiva de los proyectos de invesigación argentinos que se centran en la adquisición de la lengua materna, con particular atención a aquellos que afrontan el proceso de comprensión de textos

This article serves as a comprehensive review of de Argentine Investigación projects that focus on the acquisition of language, with particular attention to those analised with the process of understanding texts.

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The rapid advances in AI technologies showed a disruptive potential in educational practices, presenting new challenges and generating new opportunities. This phenomenon has been exacerbated since the release of ChatGPT in 2022, which has permanently transformed various educational activities and sparked widespread scientific interest. Research suggests that ChatGPT can help students navigate the complexities of STEM subjects. However, only a few studies have directed attention to the use of ChatGPT in STEM subjects in upper secondary education. With the purpose of addressing this gap, the aim of this study is to explore how students experience ChatGPT for their STEM studies, encompassing...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The study on K-12 artificial intelligence (AI) education poses three challenges: ''(i) What topics in the machine learning (ML) process should be hidden from K-12 students?” '' (ii) How do you teach K-12 students the mathematical model behind the ML process?” and '' (iii) How does AI education influence the acceptance of AI technology?”. This paper addresses challenges (i) to (iii). We developed a machine learning role-playing game (ML-RPG) and had 166 participants from lower grades of elementary school to the elderly use it. Participants used ML-RPG to role-play the ML process of acquiring data, representing data with graphs, inferencing based on if-then rules, and optimizing parameters...

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Tipo: artículo

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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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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In primary schools, Lesen durch Schreiben (LdS; “reading through writing”, known internationally as inventive spelling) is a prevalent didactic method of reading and spelling instruction. In LdS, pupils learn writing through prolonged inventive spelling, meaning that only phonological but not orthographic spelling errors are corrected. Rigorous studies of the effectiveness of LdS are scarce and have delivered inconsistent results, casting doubt on the suitability of LdS for primary school instruction. Empirical investigations of writing acquisition methods are time-consuming, costly, and are plagued by methodological evaluation difficulties, such as separating method effects from other...

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