Why AI Won't Replace Teachers
Skills:
Adaptive Learning Design53%
About this lesson
Artificial Intelligence futurists are predicting that AI will provide students with an entirely personalized educational experience - one that has the potential to replace teachers. In this video, we explore the distinction between personalized learning (human-driven) and adaptive learning (AI-driven). Adaptive learning is algorithm-driven, with students progressing through pre-set curriculum and the AI making adjustments to their skill level based on their answers. Personalized learning, by contrast, is human-driven, with a focus on authentic, real-world problem-solving and collaboration. Both approaches have their place, but personalized learning is ultimately a more human-centered approach.
Original Description
Artificial Intelligence futurists are predicting that AI will provide students with an entirely personalized educational experience - one that has the potential to replace teachers. In this video, we explore the distinction between personalized learning (human-driven) and adaptive learning (AI-driven). Adaptive learning is algorithm-driven, with students progressing through pre-set curriculum and the AI making adjustments to their skill level based on their answers. Personalized learning, by contrast, is human-driven, with a focus on authentic, real-world problem-solving and collaboration. Both approaches have their place, but personalized learning is ultimately a more human-centered approach.
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