This chapter begins by outlining the distinction between knowledge and learning. To develop precise and targeted reskilling and upskilling measures, it is essential to first examine the psychology of learning in greater detail. Building on this foundation, the chapter explores various learning methods, highlighting learning preferences, learning styles, and learning types to enable personalized and therefore more efficient learning experiences. Learning is then placed in the context of organizational change, and the differences between traditional learning and e-learning are explained. The chapter also examines how artificial intelligence can enhance learning efficiency.

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Insights into Creating Effective and Efficient Reskilling and Upskilling Measures

  • Hazel Gruenewald,
  • Maren Mueller

摘要

This chapter begins by outlining the distinction between knowledge and learning. To develop precise and targeted reskilling and upskilling measures, it is essential to first examine the psychology of learning in greater detail. Building on this foundation, the chapter explores various learning methods, highlighting learning preferences, learning styles, and learning types to enable personalized and therefore more efficient learning experiences. Learning is then placed in the context of organizational change, and the differences between traditional learning and e-learning are explained. The chapter also examines how artificial intelligence can enhance learning efficiency.