The phrase "intrinsic learning" is correct and can be used in written English.
It is used to describe learning that is self-motivated and driven by curiosity, rather than as a response to external rewards or punishments. For example: "The student was naturally curious and displayed a strong commitment to intrinsic learning".
Instead, focus on your assignments, papers and projects for their intrinsic learning value; the grades will come naturally.
To resolve these unusual challenges, the olfactory bulb appears to utilize unique nontopographical computations and intrinsic learning mechanisms to perform the necessary high-dimensional, similarity-dependent computations.
However, intrinsic learning motivation is more strongly connected to positive emotions (subject interest, school satisfaction, etc).
Previous studies suggest that perceived characteristics of instructional interaction differentially affect vocational students' intrinsic learning motivation, depending on students' occupational field.
The rationale for this was that all new techniques and procedures have an intrinsic learning curve.
An individual's readiness for innovation is reflected by his or her intellectual skills and traits that, in the context of this narrative, we interpret as technical skills (e.g., computer skills) and cognitive skills/traits (e.g., EBM skills, attitudes towards using evidence and intrinsic learning motivation) [ 37].
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression.
The results of the experiment indicate that the e-Learning designed through the model is helpful to promote the intrinsic motivation, learning quality in ill-structured domains, ability to resolve ill-structured problem and creative thinking ability of the students.
By these views, which may vary widely in their commitments and details, mind and body are not separate entities but instead form an irreducible ontology, wherein sensorimotor activity is intrinsic to learning, knowing, and reasoning.
For the purpose of standardized presentation and reporting of coefficients, the conditions of agent instructional style were dummy-coded (0 neutral, 1 enthusiastic) and the values of intrinsic motivation, learning environment perception, agent perception, and cognitive outcome were averaged by the number of items of each construct.
When we have strong recurrent interaction, as in cortex, intrinsic excitability learning needs to adjust activation functions relative to each other, e.g., to ensure optimal distribution of activation functions.
