"AI will allow educators to focus on what matters — teaching & mentoring students": GITAM's Prof S Arun Kumar

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The rapid advancements in AI and ML necessitate that educational institutions adapt their curricula to meet industry demands. Many universities are partnering with tech companies to create more relevant programs, ensuring that students are equipped with the latest skills. GITAM is actively revising its engineering curriculum to include cutting-edge AI concepts and tools for both engineering and non-engineering students.

The transformative potential of AI in education is evident, particularly in personalizing learning experiences through adaptive platforms. As the generative AI market is projected to grow significantly, educators must leverage these technologies to enhance teaching efficiency and focus on mentoring students. Ethical considerations in AI deployment are crucial, and institutions must prepare future engineers to navigate these challenges responsibly.

• AI and ML advancements require educational institutions to adapt curricula rapidly.

• Generative AI market projected to reach $207 billion by 2030.

Key AI Terms Mentioned in this Article

Artificial Intelligence (AI)

AI is reshaping educational methodologies and personalizing learning experiences.

Machine Learning (ML)

ML is crucial for developing adaptive learning platforms in education.

Natural Language Processing (NLP)

NLP advancements are leading to more intuitive AI systems in educational contexts.

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