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Music Education with Artificial Intelligence for Inclusive and Sustainable Early Childhood Learning

2025 , Margarita Roldan-Cardona , Marcos Chacón-Castro , Jadán Guerrero, Janio , Luis Salvador-Ullauri , Patricia Acosta-Vargas

This study aims to evaluate the impact of a didactic strategy that incorporates generative artificial intelligence (AI) into music education, supporting oral language development in preschool children and promoting inclusive and sustainable early childhood learning. Using an action-research approach, a mixed-methods design was applied to assess the performance of 15 children aged 3 to 6 years, divided into experimental and control groups. The experimental group participated in AI-supported activities using tools such as Genially, Educaplay, and Wordwall, whereas the control group employed traditional methods. Quantitative data from pre-and post-tests, as well as qualitative observations, revealed that AI-enhanced sessions improved motivation, pronunciation, and engagement, particularly among children aged 5 and 6 years old. Although statistical tests showed no significant differences between groups, the intervention demonstrated pedagogical effectiveness by increasing interest and participation. The novelty of this work lies in applying generative AI in early music education to personalize learning and reduce inequality, aligning with several Sustainable Development Goals (SDGs 3, 4, 9, and 10). The findings offer valuable insights into designing inclusive educational experiences through the integration of ICT and AI, highlighting the need to enhance teacher training in emerging digital pedagogies and promote accessible music-based learning in diverse educational settings.

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Evaluating Web Accessibility in Countries Included in the Latin American Artificial Intelligence Index

2025 , Patricia Acosta-Vargas , Belén Salvador-Acosta , Mauricio Loachamín-Valencia , Marcos Chacón-Castro , Jadán Guerrero, Janio , Luis Salvador-Ullauri

This study examines the relationship between the Latin American Artificial Intelligence Index (ILIA) and the Web Accessibility Index (WAIN) in 19 Latin American countries to evaluate how technological innovation aligns with digital inclusivity. Results reveal notable disparities: Uruguay, Chile, and Brazil excel in both indices, whereas Jamaica and Venezuela face critical challenges. Significantly, high scores in artificial intelligence adoption do not always correlate with improved web accessibility, underscoring the need for integrated strategies that prioritize compliance with the Web Content Accessibility Guidelines (WCAG) 2.2 and inclusive design. The research highlights accessibility as a fundamental pillar for sustainable digital ecosystems and equitable access to technology. Limitations include the regional focus on Latin America, the reliance on automated tools, and the dynamic nature of technology. Future research should incorporate longitudinal analyses, user-centered evaluations, and comparative studies across diverse regions to develop comprehensive frameworks that are grounded in empirical evidence. By aligning technological progress with inclusivity, this study emphasizes the importance of fostering sustainable and accessible digital environments. Recommendations include adopting accessibility standards in early development stages, enhancing public policy, and prioritizing universal design. These steps are essential to achieving the Sustainable Development Goals (SDGs) related to reducing inequalities and promoting inclusive institutions. This work is a foundation for advancing equitable digital ecosystems in Latin America.