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Artificial Intelligence in Education: Personalizing Learning and Overcoming Ethical Challenges
Abstract
This may be the breakthrough that AI in education can give to personalized learning, offering learners experiences tailored according to their individual needs and styles of learning. AI-driven technologies like adaptive learning platforms and intelligent tutoring systems enhance engagement, deepen understanding, and facilitate real-time feedback. However, the speedy development of AI in education also poses significant ethical challenges, including data privacy and algorithmic bias, as well as the automation of learning processes. It investigates the need for fairness and transparency in AI algorithms, protecting student data, and minimizing biases that might occur in the automated systems. Balancing innovation with ethical considerations will unlock new possibilities in education with AI while at the same time safeguarding the integrity of the learning environment. The chapter sets out key issues at the interface of AI and education, which provide a balanced overview of both its transformative potential and the challenges that need to be addressed for its responsible use.
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