The phrase "trial-and-error learning" is correct and usable in written English.
It can be used to describe a method of problem-solving or learning that involves trying different approaches until finding one that works.
Example: "Through trial-and-error learning, the students were able to discover the best way to solve the complex math problems."
Alternatives: "experiential learning" or "iterative learning".
Accordingly, they saw nothing in the pecking behaviour of herring gull chicks that could not be explained by learning while still in the egg, conditioning, or by trial-and-error learning.
Bootlegging emerges as an incremental continuous trial-and-error learning process in R&D and its uncertainty is no better or worse than that of 'normal' R&D.
Such fictitious learners can select actions with high payoffs without making long chains of trial-and-error learning.
It is in the genome as a result of natural selection, which can be seen as a form of trial-and-error learning.
As should be expected, instruction-based learning took fewer trials than trial-and-error learning to reach a similar performance level.
Four of five common ravens eventually succeeded, and "the transition from no success (ignoring the food or merely yanking at the string) to constant reliable access (pulling up the meat) occurred with no demonstrable trial-and-error learning".
The students who perceived a flow experience state frequently applied trial-and-error, learning-by-example, and analytical reasoning strategies to learn the computational problem solving skills.
Naïve crows either failed or solved the problem by trial and error learning.
The gradual increase in proficiency over time seen in Angels' performance is suggestive of trial and error learning.
The gradual increase within these trials and the high number of errors suggests that Angel solved the problem by trial and error learning.
The idea that this type of experience-dependent trial and error learning ultimately leads to improved motor performance has been postulated previously [65].
