Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial materiales didácticos grandes modelos de lenguaje

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This study presents the results of the implementation of Generative-AI Interactive Textbook, an intelligent textbook built on a large language model based on GPT-4, which is directly integrated into the subject of Electrical Engineering course and provides interactive, adaptive teaching functions. The textbook was deployed in the 2024/2025 academic year, and the data was compared with the summary results from 2021 to 2024. The sample consisted of 736 students. The results suggest that the effects associated with the introduction of GenAI-T vary depending on the type of assessment and the analytical context. In multi-year analyses, a statistically significant improvement in mid-term...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT alfabetización en IA

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With the widespread use of Generative AI in education, effectively utilizing and integrating it into teaching have become key focal points and challenges in education. Different subjects and target audiences require varied norms and strategies for implementing Generative AI, such as ChatGPT. These differences directly impact the educational integration of Generative AI in various educational contexts. To address these disparities and establish common ground, we propose the concept of ChatGPT literacy to bridge research gaps. In this study, we tailor the concept of ChatGPT literacy specifically for language teachers, aiming to delineate the essential competencies needed to proficiently and...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior feedback/retroalimentación

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Integrating artificial intelligence into medical imaging offers potential for dental education. While existing models automate diagnosis, they often lack the interpretive depth needed for comprehensive student training. To address these limitations, this paper presents Gen-Mentor , a human-in-the-loop instructional framework that integrates the DentDiff-VLM backbone into a dental-radiography workflow. The backbone uses Faster R-CNN to localize four target radiographic findings: Filling, Implant, Impacted Tooth, and Cavity. A conditional diffusion model supports curriculum expansion by generating class-specific synthetic ROI candidates as candidate instructional assets. A vision–language...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial juegos evaluación

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Highlights:

• The analysis of gameplay data from the Blood Transfusion Serious Game (BTSG) revealed crucial insights into the engagement, performance, and competency levels of participating nurses.
• The study highlighted the efficiency of the adaptive assessment algorithm in determining competency indicators through gameplay activities.
• Notable discrepancies existed between the game-embedded result and the adaptive assessment result, suggesting potential biases in the game result, which tended to overestimate the demonstrated competence.

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA evaluación

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Artificial intelligence literacy is a concept that has been the focus of exhaustive research recently. However, there are very few psychometrically sound and thoroughly evaluated instruments that attempt to assess AI literacy in a valid way. Therefore, this study presents an item set to assess the AI literacy of non-experts. In the context of a Delphi expert study, 53 subject matter experts participated in three iterative questionnaire rounds to generate potential AI literacy items and assess their content validity. In addition, the experts made suggestions on how the items’ wording accuracy could be improved and evaluated the wording suggestions of the other experts. Of 47...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización ortografía

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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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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial chatbots educación superior

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With the increasing integration of AI chatbots into education, understanding the factors that influence students' adoption intentions offers an empirical basis for further research in educational technology. However, empirical studies integrating multiple analytical approaches remain limited, particularly in China context. This study investigated Chinese university students' intention to adopt AI chatbots for learning by examining six individual-level predictors: performance expectancy (PE), effort expectancy (EE), social influence (SI), perceived trust (PT), personal innovativeness (PI), and perceived enjoyment (PEN). Survey data from 635 Chinese university students were analyzed using an...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT motivación

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Background: ChatGPT, a powerful artificial intelligence chatbot, has great potential for active learning because of its ability to generate instant responses to academic inquiries and foster spontaneous interactions. Purpose: This exploratory study investigated the roles of intrinsic motivation and factors of the technology acceptance model that influence ChatGPT acceptance for active learning among undergraduates in Hong Kong. Method: Using a structural equation modeling approach, we examined the extended technology acceptance model in the context of higher education. Using self-report questionnaires, we obtained useful responses from 473 undergraduate students in Hong Kong in July 2023....

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial analítica del aprendizaje tecnología educativa

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The application of Machine Learning (ML) and Deep Learning (DL) in Educational Data Mining (EDM) is revolutionizing the educational field. Researchers have been particularly interested in predicting student performance at an early stage. These early predictions can significantly benefit students’ learning experiences, allowing educators and other stakeholders to plan timely interventions. This review examines studies employing these technologies, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure the approach is transparent and replicable. This systematic review begins with preselecting a total of 281 records that go through a...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial analítica del aprendizaje enseñanza en línea e híbrida

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Hybrid learning strategies blend face-to-face instruction with online components, using Learning Management Systems (LMSs) as key platforms for educational resources. In strategies like the flipped classroom, students need to follow a specific learning pathway to complete certain activities in the LMS before class. This includes watching videos and completing readings and quizzes, to prepare for hands-on exercises during classroom time. Consistent student engagement with this approach is vital for success – but in large subjects with hundreds of enrolments, monitoring that engagement is a complex task. Using the data collected in an LMS, this paper presents an approach for detecting...

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