Selbstlernend

Selbstlernend is a German word that translates to "self-learning" or "self-teaching" in English. It describes a process or system that is capable of acquiring knowledge or improving its performance without explicit, human-programmed instruction for every step. This concept is prominent in fields such as artificial intelligence, machine learning, and education.

In the context of artificial intelligence and machine learning, a selbstlernend system is one that can adapt and evolve based on the data it processes. Instead of being programmed with a fixed set of rules for every possible scenario, these systems identify patterns, make predictions, and refine their algorithms over time through exposure to new information. Examples include spam filters that learn to identify new spam techniques or recommendation engines that adapt to a user's changing preferences.

In educational contexts, selbstlernend refers to a learner who takes initiative in their own education, independently seeking out information, setting learning goals, and evaluating their own progress. This approach emphasizes autonomy and intrinsic motivation, fostering a deeper understanding and long-term retention of knowledge. It contrasts with traditional teacher-led instruction where the curriculum and pace are primarily determined by the educator. The term highlights the active role of the individual or system in its own development and knowledge acquisition.