Browsing by Author "Fuentes Rivera, Otto Mauricio"

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    How AI is transforming the role of educators and expectations in the workplace
    (Universidad de El Salvador. Facultad de Ciencias y Humanidades., 2025-07) Fuentes Rivera, Otto Mauricio; Najarro de Alvarado, Sey Danisia; Carranza Campos, Miguel Ángel; fr17009@ues.edu.sv
    The advent of Artificial Intelligence (AI) marks a transformative shift in education and the workplace, heralding unprecedented opportunities and challenges. This study explores the implications of AI for educators and professionals, emphasizing the necessity of integrating AI technologies into pedagogical frameworks and workplace practices. Theoretical foundations, including constructivist and behaviorist approaches, provide insights into how AI facilitates personalized learning and adaptive teaching methodologies. Key AI applications, such as Intelligent Tutoring Systems (ITS) and learning analytics, are analyzed for their roles in enhancing educational outcomes and streamlining administrative tasks. The research is structured around three modules designed to enhance understanding and application of AI in educational settings. Module I focuses on online foreign language teaching, where students engage with various web tools, developing their teaching methodologies in virtual environments. Module II introduces participants to an array of free online technological tools for teaching English, emphasizing collaborative learning experiences. Module III centers on the design of didactic materials for virtual environments, guiding students in creating interactive educational content using diverse technological tools like podcasts, interactive images, and Google Sites. In the workplace context, AI is reshaping job functions by automating repetitive tasks and redefining skill requirements. The demand for soft skills, including emotional intelligence and creativity, is intensifying as organizations adapt to a technology-driven landscape. This transition underscores the importance of continuous professional development and the need for ethical considerations surrounding AI, particularly concerning bias and data privacy. Through a comprehensive examination of AI’s impact on both education and employment, this paper advocates for a collaborative approach among educators, industry leaders, and policymakers. By fostering an adaptive learning environment and promoting ethical AI practices, stakeholders can ensure a future-ready workforce capable of thriving in an AI-enhanced world.