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  • educación primaria y secundaria

Bibliografía: educación primaria y secundaria

Nº de publicaciones: 386
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English speaking practice with conversational AI: Lower secondary students' educational experiences over time
Elin Ericsson, Stefan Johansson (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Conversational artificial intelligence enables opportunities for practicing speaking the target language while giving individualized feedback in a low-anxiety environment offered in spoken dialogue systems with conversational agents. In this paper, we present results from a longitudinal study conducted on Swedish lower-secondary students who used a spoken dialogue system as an integrated part of their ordinary English lessons. They interacted orally with embodied conversational agents to solve given tasks in everyday-life scenarios and self-reported their experiences in questionnaires and systematic logbook reflections. Analytical methods were mainly non-parametric tests. Results revealed...

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Exploring the relationship between empowerment in using artificial intelligence for problem-solving and artificial intelligence ethical awareness: Multi-group structural equation modelling
Siu-Cheung Kong, Jinyu Zhu (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

While increasing attention has been given to cultivating students' artificial intelligence (AI) ethical awareness, the factors that contribute to its development remain underexplored. Psychological empowerment is a crucial motivational factor influencing students' intentions to incorporate ethical norms in developing AI-based solutions. Hence, this study filled this up by exploring the relationship between empowerment in using AI for problem-solving and AI ethical awareness. Empowerment in using AI for problem-solving in this study comprised three components: impact, self-efficacy and meaningfulness. Data was collected from 681 students from secondary schools and a university in Hong Kong....

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Actitud hacia el bilingüismo inglés-español en estudiantes de secundaria norteamericanos.
Coromoto Galvis (2009)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: bilingüismo

Resumen:

Texto completo

En este estudio se determinó la actitud hacia el bilingüismo inglés-español en una muestra de 73 estudiantes de duodécimo grado de educación secundaria del distrito escolar de la ciudad de Ventura en el Condado de Ventura, California, Estados Unidos, de ambos sexos y edades comprendidas entre 17 y 19 años, seleccionada de tres escuelas públicas: Ventura High School, Buena High School y Foothill Technology High School. Con la finalidad adicional de explorar relaciones entre la actitud observada y algunas variables socio-demográficas relevantes, así como analizar los conocimientos, creencias y preferencias de los sujetos en relación con el bilingüismo inglés-español, vinculados a su...

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Integrating generative artificial intelligence in K-12 education: Examining teachers’ preparedness, practices, and barriers
Yin Hong Cheah, Jingru Lu, Juhee Kim (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Despite the growing body of research on developing K-12 teachers' generative AI (GenAI) knowledge and skills, its integration into daily teaching practices remains underexplored. Using a snowball sampling method, this study examined the preparedness, practices, and barriers encountered by 89 U.S. teachers in the state of Idaho. Participants were predominantly White, female teachers serving in rural schools. A mixed-methods analysis of survey responses revealed that teachers were generally underprepared for integrating GenAI, with fewer than half incorporating it into their educational practices. Unlike the widespread classroom integration patterns observed with general educational...

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A case study of using AI for General Certificate of Secondary Education (GCSE) grade prediction in a selective independent school in England
Gyorgy Denes (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo en HTML

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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A critical review of teaching and learning artificial intelligence (AI) literacy: Developing an intelligence-based AI literacy framework for primary school education
Iris Heung Yue Yim (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial intelligence (AI) literacy education mainly targets secondary and university students, often overlooking the unique needs of younger students. This gap in AI literacy primary school education presents theoretical and pedagogical challenges. Despite the pervasive influence of AI, which can exacerbate inequalities and raise ethical challenges, primary students often lack an understanding of AI principles and mechanisms. Recent developments in age-appropriate AI learning tools have extended AI literacy to primary schools, but AI literacy frameworks for this age group remain underdeveloped. This study aims to conceptualize AI literacy by analyzing existing theoretical frameworks and...

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A personalized learning system-supported professional training model for teachers' TPACK development
Pawat Chaipidech, Niwat Srisawasdi, Tanachai Kajornmanee (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

In contrast to traditional teacher professional development (TPD), the importance of individualized professional learning and expert content delivery is increasingly focused on as a challenge to transform the TPD. This study investigated the effects of an andragogical design of TPD with an embedded personalized learning system on technological pedagogical and content knowledge (TPACK) of in-service teachers. One hundred sixty-one in-service science teachers from 92 secondary schools located Northeastern region of Thailand voluntarily participated in the proposed TPD program. Results indicated that the in-service teachers significantly improved their TPACK. These findings add to the limited...

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Modeling the sustainability perspectives on personalized digital games for digital citizenship education: A PLS-SEM approach
Patcharin Panjaburee, Gwo-Jen Hwang, Ungsinun Intarakamhang (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

As digital citizenship becomes an essential educational priority in the digital age, there is a growing need for sustainable and engaging instructional designs that foster students' ethical and responsible use of technology. Addressing this gap, this study modeled the sustainability perspectives underlying personalized digital game-based learning through a partial least squares structural equation modeling (PLS-SEM) approach. A longitudinal repeated-measures design was conducted with 372 lower secondary students in Thailand, using fuzzy logic and decision tree algorithms to personalize ethical digital scenarios. The proposed model examined how pedagogical design, content quality, usability...

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Behavioral-pattern exploration and development of an instructional tool for young children to learn AI
Ting-Chia Hsu, Hal Abelson, Natalie Lao (2021)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study aimed at developing an instructional tool for the artificial intelligence education of young students, and used learning analytics to identify the sequential learning behavioral patterns of students during the process of learning with the instructional tool. The instructional experiment took 9 weeks. The first stage of the course was 5 weeks spent on individual learning of MIT App Inventor and Personal Image Classifier. The second stage was 4 weeks spent on cooperative learning to make a robot car and play a computational thinking board game. In the second stage, the students worked in pairs to make the robot car. Finally, they played the computational thinking board game with...

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Designing a generative AI enabled learning environment for mathematics word problem solving in primary schools: Learning performance, attitudes and interaction
Jingxi Liu, Daner Sun, Jin Sun (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Mathematics word problem solving is a critical component of elementary education, yet many students encounter persistent difficulties in this area due to the combined cognitive demands of linguistic comprehension and mathematical reasoning. While previous studies have explored various pedagogical strategies to enhance problem-solving skills, the integration of generative artificial intelligence (GenAI) in this domain remains underexplored. This study introduces the ChatGPT-supported Mathematics Problem-Solving System (ChatGPT-MPS), a GenAI-enabled learning environment designed to support primary students in developing problem-solving strategies and deepening conceptual understanding. To...

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