Learnable describes something that is capable of being learned, studied, or acquired through experience, instruction, or observation. It signifies that a skill, concept, or piece of information is within the realm of human comprehension and that the necessary resources, methods, and time investment will yield knowledge or mastery. The term often implies a structured approach to acquisition, though it doesn't preclude the possibility of self-directed learning or incidental discovery. A learnable subject is one that can be broken down into manageable components, and the learner possesses the necessary cognitive abilities to process and integrate the new information or skill. A learnable process or system suggests that the underlying principles and operations are discernible and reproducible.
Learnable meaning with examples
- The new software platform was designed to be highly learnable, featuring intuitive menus and comprehensive tutorials. User testing revealed that new employees could master its basic functions within a few hours, promoting rapid onboarding. The emphasis on ease of use ensures greater employee satisfaction. Its learnability was a key consideration in the design. The system's modular structure also facilitated the creation of advanced skill paths.
- Despite the complexity of the topic, the professor presented the material in a way that made it seem highly learnable to all students, regardless of their initial background. His clear explanations, engaging examples, and patient responses to questions fostered a classroom environment conducive to learning. This approach allowed students to break down the concepts. His teaching techniques had made the challenging subject achievable.
- The art of bonsai, with its intricate techniques of pruning and shaping, might seem daunting at first. But the availability of numerous resources, from online guides to workshops, makes it a highly learnable skill. Dedicated enthusiasts can see the growth of their knowledge. The challenge lies in consistent practice and a patient approach, a crucial factor in achieving good results.
- Machine learning algorithms are, by their nature, designed to be learnable from data. The more data they are exposed to, the more they can refine their predictive capabilities. They are used to analyse vast amounts of data, creating more accurate predictions based on the patterns. This capability makes them indispensable in numerous fields, including fraud detection, medical diagnosis, and personalised recommendations.