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baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Experiential learning/Error
In learning and problem-solving, an "error" is the difference between what we aimed to achieve and the actual result. It shows how far we are from the desired outcome and helps us understand what needs adjusting. Errors aren’t failures; they’re valuable feedback, guiding us to make improvements in each new attempt. By identifying and reducing errors through practice and adjustments, we gradually get closer to the goal. In this way, errors are essential to learning, as they highlight what doesn’t work and point us toward what might.
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