inteligencia artificial

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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...

Artificial Intelligence (AI) Literacy in Early Childhood Education: The Challenges and Opportunities

Jiahong Su, Davy Tsz Kit Ng, Samuel Kai Wah Chu (2023)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

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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...

Examining the effect of artificial intelligence in relation to students’ academic achievement: A meta-analysis

Liu Dong, Xiuxiu Tang, Xiyu Wang (2025)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Recent developments in artificial intelligence (AI) have revolutionized the field of education as its presence and benefits enable new methods for teaching and learning. Therefore, many empirical studies have been conducted to evaluate the effectiveness of using AI on students' academic achievement. The purpose of this meta-analysis study was to examine the overall effect of AI on students' academic achievement in relation to a set of moderator variables including educational level, role of AI, intervention duration, sample size, learning strategy, subject area, and type of AI. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a total of...

Tailoring AI agents for early learning: The Creative Project Approach

Weipeng Yang, Hui Li, John Chi-Kin Lee (2025)

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

This paper explores the integration of AI agents within the Project Approach in early childhood education (ECE) to enhance children's creative learning in the digital age. Addressing the current lack of guidance in this area, the paper conceptualizes how AI agents can be specifically tailored to foster creativity in young learners. Drawing upon theoretical foundations and empirical evidence, it proposes a “Creative Project Approach” that integrates generative AI and robotics in ECE. A pedagogical framework is developed, consisting of five key steps: (1) identifying learning needs, (2) facilitating child-robot interaction with teacher guidance, (3) situating AI and robot use in various...

A multi-perspective study on Artificial Intelligence in Education: grants, conferences, journals, software tools, institutions, and researchers

Xieling Chen, Haoran Xie, Gwo-Jen Hwang (2020)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

With the rapid development of artificial intelligence (AI) technologies and a continuously growing interest in their application in educational contexts, there has been significant growth in the scientific literature in relation to the application of AI in education (AIEd). This study aims to present multiple perspectives on the development of AIEd in terms of relevant grants, conferences, journals, software tools, article trends, top issues, institutions, and researchers to provide an overview of AIEd for its further development and implementation. With this study, we contribute to the research field by enabling educators and scholars to understand the status and development of relevant...

Artificial intelligence in multimodal learning analytics: A systematic literature review

Mehrnoush Mohammadi, Elham Tajik, Roberto Martinez-Maldonado (2025)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

The proliferation of educational technologies has generated unprecedented volumes of diverse, multimodal learner data, offering rich insights into learning processes and outcomes. However, leveraging this complex, multimodal data requires advanced analytical methods. While Multimodal Learning Analytics (MMLA) offers promise for exploring this data, the potential of Artificial Intelligence (AI) to enhance MMLA remains largely unexplored. This paper bridges these two evolving domains by conducting the first systematic literature review at the intersection of AI and MMLA, analyzing 43 peer-reviewed papers from 11 reputable databases published between 2019 and 2024. The findings indicate a...

A computational investigation of inventive spelling and the “Lesen durch Schreiben” method

Jannis Born, Nikola I. Nikolov, Anna Rosenkranz (2022)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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...

Factors influencing intention to adopt an AI chatbot for learning in higher education: An integrated PLS-SEM, IPMA, and ANN approach

Hongbo Guo, Tumennast Erdenebold (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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...

Exploring the role of intrinsic motivation in ChatGPT adoption to support active learning: An extension of the technology acceptance model

Chung Yee Lai, Kwok Yip Cheung, Chee Seng Chan (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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....

Predicting student performance: A comprehensive review of machine learning, deep learning, and explainable AI approaches

Salma Boujmiraz, Hassane Darhmaoui, Ahmed Drissi el maliani (2026)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

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...