The article critiques the view that AI in education merely accelerates learning. It argues that Large Language Models (LLMs) offer more than speed; they can modulate learning pace, allowing for both fast and slow learning depending on the learner's needs. Instead of racing through information, LLMs can facilitate a richer understanding through deeper reflection and engagement. This shift in perspective highlights the importance of cognitive depth over velocity in educational contexts, promoting a more meaningful learning experience rather than a mere race to knowledge.
AI can enhance learning not just by speeding it up, but by adjusting the learning pace for deeper understanding, promoting meaningful engagement.
True education is about depth and precision rather than speed. The potential of LLMs in education lies in aiding learners to control their learning pace.
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