Browsing by Author "Polio Martinez, Maria del Carmen"

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    How artificial intelligence can help personalize the educational experience to meet the individual needs of students
    (Universidad de El Salvador. Facultad de Ciencias y Humanidades, 2024-09-01) Martínez Mendoza, Kenia Iveth; Polio Martinez, Maria del Carmen; Rivera Mejia, Leydi Zuleyma; Najarro de Alvarado, Sey Danisia; Carranza Campos, Miguel Ángel; mm18033@ues.edu.sv; pm97037@ues.edu.sv; rm18028@ues.edu.sv
    This research explores how Artificial Intelligence (AI) has revolutionized education through personalized learning. It highlights how AI adapts learning experiences to individual students' needs, offering tailored instruction unrestricted by traditional time limits. The interdisciplinary nature of AI, including Educational Artificial Intelligence (EAI), emphasizes the use of AI algorithms to enhance learning outcomes. Some historical developments, such as Intelligent Tutoring Systems (ITS) and data analytics, demonstrate AI's capacity to transform educational environments. The potential of AI to bridge learning gaps, improve motivation, and enhance learning efficiency is addressed, alongside ethical concerns surrounding data privacy, equity, and the need for teacher training. Along with that, the research demonstrates that while AI offers promising advancements in personalized learning, further development is needed to ensure its effective and equitable application. Ultimately, from the wide variety of subjects learned throughout the Specialization Course, the most important ones are presented as a summary of each module.