Transforming education through artificial intelligence: advancing personalized learning and knowledge construction

Resumen

Artificial intelligence (AI) is profoundly transforming the educational landscape by enabling personalized learning experiences, fostering inclusivity, and equipping students with the skills required to navigate an increasingly dynamic job market. This study investigates the integration of AI within vocational and inclusive education through a comprehensive methodological framework, encompassing a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis and the development of an assistive educational prototype. The findings reveal AI's significant potential to customize educational content, streamline administrative processes, and introduce innovative pedagogical approaches that cater to diverse learning needs. Nonetheless, the study identifies persistent challenges, including the high costs associated with implementation, heightened concerns about data privacy, and the exacerbation of the digital divide in under-resourced communities. To address these challenges, the research emphasizes the necessity of ethical guidelines, and the establishment of robust policies aimed at balancing innovation with equity and security. Furthermore, the study highlights the transformative role AI can play in fostering accessibility and inclusivity while cultivating a skilled and competitive workforce capable of meeting future labor market demands. The conclusions underscore the need for ongoing research into the responsible application of AI in education, particularly in adapting to rapid technological advancements. Future efforts should focus on scalable, cost-effective solutions that bridge educational disparities and promote the equitable integration of AI technologies across diverse educational contexts.