Volume 11 : Issue 11.4 (2024)

Educational Transformation in the Age of AI: Emphasizing Learning-to-Learn Competencies

In the rapidly evolving landscape of artificial intelligence (AI), the ability to "learn how to learn" has become paramount. This paper explores the significance of cultivating meta-cognitive strategies and adaptive learning skills essential for thriving in an AI-driven world. Drawing upon contemporary research, policy frameworks, and real-life scenarios, it underscores the shift from traditional knowledge accumulation to developing competencies like critical thinking, self-directed learning, and adaptability. The Finnish education system serves as a case study, exemplifying effective integration of these skills. Furthermore, the paper discusses the role of AI-enhanced adaptive learning platforms in personalizing education and fostering continuous growth. Emphasizing personal responsibility, it advocates for reflective practices and structured approaches to build learning-to-learn skills, ultimately enhancing employability and personal development in the age of AI.

meta-cognition, adaptive learning, AI in education, self-directed learning, lifelong learning, critical thinking, educational policy, Finnish education model, personalized learning, 21st-century skills

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