educación infantil

En este artículo presentamos una propuesta de tratamiento didáctico de la mediación lingüística enfocada a la Educación Infantil. A pesar de no haber sido muy explorada por la investigación en didáctica del español como L2, esta etapa educativa plantea una serie de retos derivados de la confluencia en el aula de alumnado con distinto bagaje lingüístico y cultural; por ejemplo, la implementación de dinámicas de mediación ajustadas al grado de desarrollo de la competencia comunicativa del grupo. La propuesta didáctica que presentamos en este trabajo pretende abordar este reto mediante el establecimiento de dos objetivos: a) trasladar al alumnado el rol de...

An early investigation of collaborative problem solving in conversational AI-mediated learning environments

Sinem Aslan, Nese Alyuz, Belle Li (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Collaborative problem solving (CPS) encourages children to communicate effectively and fosters creativity and critical thinking. New digital technologies can potentially provide opportunities for innovative ways to promote CPS at an early age. However, one key challenge of such technologies is to be engaging and effective while also pedagogically adapting to developmental needs of young learners. In this paper, we propose that a multimodal conversational AI system, Kid Space, providing interactive learning experiences could enrich CPS and promote positive educational outcomes. Kid Space combines multimodal classroom sensing with a projected 3D virtual environment and an animated...

Exploring factors influencing preschool teachers’ behavioral intention to use AI technologies in early childhood settings

Ziyang Duan, Yingfan Shan, Yue Gong (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

With the rapid advancement of artificial intelligence (AI) and its increasing integration into education, the early childhood education sector has begun to explore the potential of AI integration. As key agents in the classroom integration of technology, preschool teachers' willingness to use AI directly impacts the effectiveness of AI implementation in early childhood education. Grounded in an extended framework of the Technology Acceptance Model, this study investigates the mechanisms through which perceived usefulness (PU), perceived ease of use (PEOU), subjective norm (SN), AI anxiety (AIA), and AI self-efficacy (AISE) influence preschool teachers' behavioral intention (BI) to use AI. A...

Artificial Intelligence education for young children: Why, what, and how in curriculum design and implementation

Weipeng Yang (2022)

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Artificial intelligence (AI) education has posed fundamental challenges to early childhood education (ECE), including (1) why AI is necessary and appropriate for learning in the early years, (2) what is the subset of key AI ideas and concepts that can be learned by children, and (3) how to engage children in a meaningful experience that allows them to acquire these fundamental AI concepts. This report from the ECE field discusses the key considerations for developing an AI curriculum for young children. These key considerations altogether present an innovative pedagogical model for AI literacy education in early childhood. This model argues that AI literacy is an organic part of digital...

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...

Artificial Intelligence (AI) in early childhood education: Curriculum design and future directions

Jiahong Su, Yuchun Zhong (2022)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

With the rapid technological development of society brought on by Artificial Intelligence (AI), the demand for AI-literate workers will increase in the future. It is critical to develop the next generation's AI competencies and educate them about how to work with and use AI. Previous studies on AI were predominantly focused on secondary and university education; however, research on the Artificial Intelligence curriculum in early childhood education is scarce. Due to the lack of conformity on the standardisation of AI curriculum for early childhood education, this study examines the AI curriculum for kindergarten children using the framework which consists of four key components, including...

Leveraging an LLM-enhanced bilingual conversational agent for EFL children’s dialogic reading: Insights from children, parents, and educators

Feiwen Xiao, Zhaohui Li, Jiaju Lin (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Dialogic reading, a technique in which adults and children engage in interactive discussions around a story, has been shown to improve children’s language and literacy development. Despite its evidence-based benefits, its adoption amongfamilies with English as a Foreign Language (EFL) backgrounds has been particularly challenging due to limited English proficiency, restricted conversational skills, and a low inclination to read in English. This paper presents “Storio'', an e-book integrated with a bilingual large language model (LLM)-based conversational agent named “Mia'', used as a design probe to investigate interactions between EFL children (N=17) and the agent, and to gather insights...

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...

A shape of play to come: Exploring children's play and imaginaries with robots and AI

Robin Samuelsson (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

We are rapidly moving into an era where AI and robots are part of everyday interactions in society and education, and there are immense discussions today about current and future technologies. Still, children are often not included in this discussion, while there is much to learn from current uses and children's understandings of AI and robotics. The study is based on a seven-month ethnographical work that details the implementation of a robot in two preschool groups of children aged 1–2 and 3–5 (n = 38). The study descriptively combines a framework for children's play analysis with explorative qualitative child interviews (n = 6) with the 3-5-year-olds to examine how children play with the...

Conversational AI in children's home literacy learning: effectiveness, advantages, challenges, and family perception

Shuang Quan, Xintian Tu-Shea, Yi Ding (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study investigates the effectiveness, affordances, limitations, and family perceptions of conversational AI for home literacy learning vs. human. We developed a large language model (LLM)-powered conversational AI system, named Vovo, to teach children vocabulary and co-construct stories using structured literacy pedagogy. The system was tested in home environments over six weeks with 10 families and their children aged 3–7 (M = 5.4). Across 150 learning sessions, Vovo delivered structured literacy instruction as effectively as parents, though children achieved higher learning outcomes when learning with parents. Video analysis revealed Vovo's advantages in pedagogical consistency,...