Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Collaborative writing, paired with AI feedback, represents an innovative and effective pedagogical approach with the potential to revolutionize language learning practices. This study explores the influence of a three-step collaborative writing intervention, where AI feedback specially enhances the revision and editing stages of the L2 writing process for Thai-major undergraduate exchange students. Employing a quasi-experimental design, the study included 39 junior exchange students, with 18 in the experimental group and 21 in the control group. The approach employed a wiki-based collaborative writing strategy, integrating ChatGPT for written corrective feedback. The 10-week intervention...

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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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In an era where artificial intelligence (AI) is reshaping educational paradigms, this study explores AI-based chatbot adoption in higher education among students and educators. Employing a Structural Equation Modeling (SEM) approach, the research focuses on developing and validating a comprehensive model to understand the multifaceted factors impacting the acceptance and use of these chatbots. The methodology integrates an extensive literature review, construction of a theoretical model, administration of a detailed questionnaire to a representative sample from the higher education sector, coupled with advanced SEM techniques for data analysis and interpretation. The SEM analysis validates...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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High-quality instruction is essential to facilitating student learning, prompting many professional development (PD) programmes for teachers to focus on improving classroom dialogue. However, during PD programmes, analysing discourse data is time-consuming, delaying feedback on teachers' performance and potentially impairing the programmes' effectiveness. We therefore explored the use of ChatGPT (a fine-tuned GPT-3.5 series model) and GPT-4o to automate the coding of classroom discourse data. We equipped these AI tools with a codebook designed for mathematics discourse and academically productive talk. Our dataset consisted of over 400 authentic talk turns in Chinese from synchronous online...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The rise of artificial intelligence (AI) technologies has been notable in supporting English as an Additional Language (EAL) learners, particularly in offering interactive assessments. AI-driven dialogue systems that produce culturally relevant humor and empathy, bridging the native language (L1) and the target language (L2), have been employed to engage EAL learners more effectively and boost their learning results. However, there's a noticeable gap in research concerning the fusion of humor, empathy, and intercultural dimensions in language learning. Intercultural dimensions encompass acquiring crucial knowledge, communication skills, and the values essential for meaningful interactions...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Personality traits and educational technology may affect how well students utilise their abilities and strategies to achieve their learning objectives and potential. As generative artificial intelligence (GenAI) is creating new learning experiences, understanding the impact of five representative personality traits on students' self-regulated learning (SRL) while learning with GenAI tools can help to predict which personality traits indicate better self-regulation when learning with this innovative educational technology. Such a prediction can help educators to design effective learning activities by providing educational experiences that cater to students' different personality traits for...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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This systematic review investigates learning task design for K-12 AI education, aiming to provide an overview of the status of AI education and identify trends, challenges, and opportunities. Through an analysis of 47 empirical studies, the review presents, synthesizes, and evaluates the educational theories underpinning the learning task design, the content, the pedagogies used for teaching, as well as the measurement and outcomes of the existing literature on AI education programs in K-12 settings. The principal findings reveal a diverse landscape of learning task design for teaching AI to K-12 students. Positive outcomes underscore the effectiveness of well-crafted hands-on tasks in...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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ChatGPT has been a revolutionizing AI Chatbot, that has impacted academia significantly. Although there has been a number of studies over the influence of AI and education, a focus towards why students use it is minimal. This study explores factors affecting student use of ChatGPT through a triangulation approach, blending exploratory, qualitative, and quantitative analyses. Through exploration of factors via prior literature and analysis of narratives by the respondents of qualitative analysis to measuring their relationships quantitatively using SEM techniques, the study identifies core reasons to use ChatGPT by students of higher education. The findings highlight the significance of six...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The rise of generative artificial intelligence (AI) has sparked debate in education about whether to ban AI tools for assessments. This study explores the adoption and impact of AI tools on an undergraduate research proposal assignment using a mixed-methods approach. From a sample of 187 students, 69 completed a survey, with 46 (67%) reporting the use of AI tools. AI-using students were significantly more likely to be higher-performing, with a pre-semester average GPA of 5.46 compared to 4.92 for non-users (7-point scale, p = .025). Most students used AI assistance for the highest-weighted components of the task, such as the research topic and methods section, using AI primarily for...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The process of manually generating question and answer (QA) pairs for assessments is known to be a time-consuming and energy-intensive task for teachers, specifically in higher education. Several studies have proposed various methods utilising pre-trained large language models for the generation of QA pairs. However, it is worth noting that these methods have primarily been evaluated on datasets that are not specifically educational in nature. Furthermore, the evaluation metrics and strategies employed in these studies differ significantly from those typically used in educational contexts. The present discourse fails to present a compelling case regarding the efficacy and practicality of...

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