Artificial Intelligence A Review on Prospects of Future Teaching

Author(s): Dr. Gyanandre Tripathi and Dr. Abhishikha Patel

Abstract:

Artificial intelligence Artificial Intelligence (AI) refers to the imitation of human intelligence in machines that are programmed to think and learn like humans. The term can also apply to any machine that shows traits associated with a human mind such as learning and problem-solving. The future of teaching is controlled to undergo a significant transformation with the integration of Artificial Intelligence (AI). AI-powered educational tools will enable personalized learning experiences, tailoring instruction to individual students' needs, abilities, and learning styles. AI can improve student outcomes, increase teacher productivity, and enhance the overall learning experience. Artificial Intelligence (AI) in teaching offers promising prospects, including personalized learning, automated grading, and intelligent tutoring. AI can enhance student engagement, improve learning outcomes, and reduce teacher workload. It also enables data-driven decision-making, real-time feedback, and inclusive education, transforming the teaching landscape. The potential of AI in teaching, including adaptive learning systems, intelligent tutoring, automated grading, and content creation. The challenges and limitations of AI in teaching, including bias, job displacement, and data privacy concerns. This study about to know the probability of future teaching using Artificial Intelligence. This study is based on secondary sources data.

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Pages: 42-44     |    2 View     |    0 Download