Human Mentorship in AI-Supported Training and Apprenticeship Systems
Ochiq kirish: yoʻq
Annotatsiya
The use of the Artificial Intelligence (AI) in the training and apprenticeship systems is becoming more common, changing the definitions of learning, competence, and performance. AI-driven solutions extend customization, effectiveness, and capacity, yet at the cost of lessening learning to quantifiable products. In this chapter, the human approach is taken where learning is seen as a becoming and not as an act of doing. Based on the learning theory, human-AI interaction, and exemplary cases, it demonstrates that human mentorship supplements intelligent systems by making sense of algorithmic feedback, enhancing ethical judgement, and developing professional identity. The chapter further builds a human-AI complement framework in order to promote significant learning and lifelong professional evolution.
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