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As AI and automation reshape industries, education must adapt to equip students for future careers. The rapid pace of technological change presents a challenge for educators, parents, and students to ensure the next generation thrives in a dynamic job market. Emphasizing the importance of career adaptability, experts highlight the need for education to integrate real-world skills alongside traditional degrees.
Experiential learning is crucial in bridging the gap between classroom knowledge and practical application. Institutions like Western Governors University and Quantic School of Business are leading the way by embedding practical experiences into their curricula. By focusing on competency-based models and global immersion, these schools prepare students for the complexities of AI-driven careers.
• 80% of CEOs see workforce capability building as a major challenge.
• Experiential learning is essential for bridging classroom knowledge and real-world application.
Experiential learning connects theoretical knowledge with practical application, enhancing student readiness for careers.
Competency-based education focuses on students demonstrating mastery of skills before advancing, ensuring workforce readiness.
AI fluency refers to the ability to understand and effectively utilize AI technologies in various contexts.
WGU employs a competency-based model to align education with industry needs, ensuring graduates are job-ready.
Quantic integrates gamified learning with real-world applications, enhancing student engagement and retention.
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