The phrase "affinity for learning" is correct and usable in written English.
You can use it to describe someone who has a natural inclination for acquiring knowledge. For example, you could say, "My daughter has an incredible affinity for learning - she picks up new information quickly and easily."
Just last month, Justice Thomas told an audience at Harvard Law School that back in Savannah in 1955, listening to librarians reading from Dr. Seuss gave him an affinity for learning.
In the work-based learning route (the former apprenticeship system), which is taken by almost a third of the students, the practical component dominates, whereas in the school-based learning route the school component does.5 These routes may therefore attract different types of students: those with an affinity for learning in practice and those who prefer a school-based approach.
Use your time to develop an affinity for learning.
"Prentice" alluded to his affinity for learning, he said.
(Scheffler 1973/1989, p. 123) Third, should educational programs at the elementary and secondary levels be made up of a number of disparate offerings, so that individuals with different interests and abilities and affinities for learning can pursue curricula that are suitable?
Mr. Mayer, the Tony Award-winning director of "Spring Awakening," a 2006 musical about embittered youth, started with one advantage: Billie Joe Armstrong, the lead guitarist and singer of Green Day, had an affinity for theater, having learned as a boy to sing along with show tunes from musicals like "Oliver!" and "42nd Street".
Plus, there'll be far fewer crowds to contend with while you're learning about Mr. Franklin's affinity for musical inventions and printmaking.
Children with Autism Spectrum Disorder (ASD) tend to have an affinity for digital technologies, often preferring computer-assisted learning to human-assisted learning.
Whitlam, we learn, had a particular affinity for "multicultural" Australia because of his classical education.
To predict the continuous binding affinity for drug target pairs, we train a supervised learning model based on the features defined in the Feature Engineering section.
The present work is focused on the development of new machine learning models to predict binding affinity for CDK.
