Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The COVID-19 pandemic has created significant challenges for UK schools, but a time of cancelled exams and uncertainty around future examinations can provide opportunities to explore novel assessment methods. Hence, the 2020 proposal of the Ofqual algorithm which combines teachers' estimated grades and schools' historical performance seemed timely. However, the algorithmically calculated grades resulted in a public backlash and withdrawal of the proposal. While the failed Ofqual algorithm could be considered an example of AI, we do not yet have a thorough understanding of its numerical accuracy and how it performs in comparison to other AI models. This paper investigates this novel...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The importance and challenge of Algebra learning is widely recognized, with students across the U.S. facing difficulties due to the subject's complexity. While extensive research has focused on enhancing Algebra learning in K-12 education, the reusability, scalability, and effectiveness of the strategies employed (e.g., manual interventions and digital tutoring platforms) remain limited. Conversational AI (ConvAI), enabled by the advancement of large language models (LLMs), emerges as a potential tool for automatic, personalized, and effective student support. However, ethical concerns surrounding diversity, safety, sentiment, and stereotype associated with ConvAI are prominent, and...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Artificial intelligence (AI) has gained acceptance in the field of education. Nevertheless, existing research on AI in education, particularly in foreign language (FL) learning and teaching, is notably limited in scope and depth. In the present study, we addressed this research gap by investigating social and computer science students' perceptions of the integration and use of AI-based technologies in education, focusing specifically on foreign language teaching. Using an online questionnaire, we analysed factors such as students' field of study, gender differences, and the type of AI used. The questionnaire included statements categorised into thematic clusters, with responses measured on...

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Tipo: artículo

Metodología: estudio empírico

Temas: análisis de errores

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Este trabajo analiza los errores léxicos intralinguales semánticos de las composiciones en español por 81 aprendices griegos de diferentes niveles lingüísticos (A, B1, B2, C1) utilizando el método de Análisis de Errores. Los resultados del análisis cualitativo muestran que las estrategias más usadas son la asociación fonológica y semántica entre las palabras de la LE. Los resultados del análisis cuantitativo indican que tanto toda la categoría de los errores como sus diferentes tipos ascienden a medida que avanza el nivel lingüístico de los informantes.

This study analize the lexical intralingual semantic errors of the written compositions in Spanish of 81 Greek SFL students of...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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In the realm of education, crafting appropriate questions for examinations is a meticulous and time-consuming task that is crucial for assessing students' understanding of the subject matter. This paper explores the potential of leveraging large language models (LLMs) to automate question generation in the educational domain. Specifically, we focus on generating educational questions from contexts extracted from school-level textbooks. Our study aims to prompt LLMs such as GPT-4 Turbo, GPT-3.5 Turbo, Llama-2-70B, Llama-3.1-405B, and Gemini Pro to generate a complete set of questions for each context, potentially streamlining the question generation process for educators. We performed a...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This study investigates how integrating generative AI (GenAI) with instructional scaffolding and prompt engineering supports higher-order thinking skills (HOTS) and programming logic. A mixed-methods design was used, combining quantitative and qualitative data. The intervention followed a one-group pretest-post-test structure over seven weeks with 25 computer science students with no prior C++ experience. The GenAI-Ped framework guided the design. It combines Bloom's taxonomy, Seelf-Regulated Learning, Universal Design for Learning, and Vygotsky's Zone of Proximal Development. Students received scaffolded support across six instructional phases, including prompt training and guided GenAI...

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Tipo: artículo

Metodología: estudio empírico

Temas: preposiciones

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Como cualquier otra oposición no evidente, es conocida la dificultad que entraña el aprendizaje de la oposición preposicional por-para en el estudiante de español como lengua extranjera (E/LE). En un entorno de esta índole, en el que es evidente la repetición de ciertas formas idiosincrásicas, nos cuestionamos las causas de dicho fenómeno y llegamos a la conclusión de que el origen de los errores podría ser el mismo. Sobre esta base, pretendemos indagar en este artículo, en primer lugar, sobre el proceso de adquisición de por-para centrándonos en describir la relación forma-función en diferentes estadios de desarrollo de la interlengua en estudiantes de lengua materna italiana e inglesa, y en...

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Tipo: artículo

Metodología: estudio empírico

Temas: aula invertida/flipped learning

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The present study compares the academic performance of students of Spanish as a second language between a control group following a flipped learning methodology and another group receiving more traditional instruction. It also evaluates the impact of combining the two methodologies during the same semester on the students' linguistic performance. The results of the pre- and post-tests based on grammar activities indicate that, in the between-subjects design, there are no notable differences between the inverted and non-inverted groups. The findings of the within-group analysis show that students who have combined both methodologies perform better in the non-inverted instructional model....

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Despite the growing importance of English oral communication skills, traditional language learning approaches show limited effectiveness in simultaneously addressing psychological barriers and speaking proficiency among college students. While previous studies have explored anxiety reduction or speaking enhancement separately, a significant gap exists in research examining integrated approaches that tackle Public Speaking Anxiety (PSA), Interview Anxiety, and English-speaking proficiency improvement simultaneously. This study investigated whether an AI-integrated VR oral training application could effectively address these interconnected challenges. A quasi-experimental design was employed...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The invention of AI-Chatbot is undeniably one of the most remarkable achievements by humanity, harnessing an unparalleled level of power and potential. In the near future, AI-chatbots are expected to become valuable tools in education, aiding students in their learning journeys. This study aims to explore the performance and accuracy of two chatbots, ChatGPT and Bard in understanding text-based structural notations such as, condensed structures, InChi and SMILES and answering organic chemistry related questions. Their ability to perform tasks such as converting IUPAC names, InChi, and SMILES notations into condensed forms and vice versa, identifying functional groups, generating molecular...

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