Artificial Intelligence in Education
DOI:
https://doi.org/10.55927/fjsr.v4i10.715Keywords:
AI-Driven Education, Ethical AI Implementation, Personalized Learning, Algorithmic Fairness, Student-Centred LearningAbstract
Imagine a classroom where technology complements rather than overpowers instruction and each student's own learning style shapes a customized educational path. This vision is becoming a reality thanks to artificial intelligence (AI), which is revolutionizing education through data-driven insights that improve student outcomes, automated procedures, and adaptive learning systems. AI-powered solutions help teachers with thorough assessments, generate original content, and tailor classes to each student's unique learning style. AI analytics also assist in identifying students who might need extra assistance, allowing for prompt intervention and better learning outcomes. AI has enormous educational benefits. It has been demonstrated that individualized learning paths can boost student engagement and raise academic achievement by as much as 20%. Additionally, teachers are relieved of administrative duties, freeing them up to concentrate on engaging, interactive instruction. Beyond efficiency, AI promotes diversity and innovation, resulting in a more engaging and adaptable educational experience. However, issues persist. Ethical concerns about AI's decision-making processes, possible threats to student data privacy, and accessibility restrictions that affect roughly 15% of learners remain critical. Furthermore, many teachers need further training to effectively incorporate AI technologies into their classes. Looking ahead, the future of AI in education is bright, with developments such as AI combining with virtual and augmented reality to create immersive learning environments
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