Sentence examples for abilities of learning from inspiring English sources

The phrase "abilities of learning" is correct and usable in written English.
It can be used when discussing someone's capacity or skills related to acquiring knowledge or skills.
Example: "The abilities of learning vary greatly among individuals, influencing their academic performance."
Alternatives: "learning capabilities" or "capacity for learning".

Exact(3)

Individualized instruction takes the assumption that learners are different in interest and abilities of learning and challenges teachers to tailor their instruction to students' strengths and weaknesses.

The general view defends that this kind of activities can make a positive contribution on affective and cognitive abilities of learning environments.

Besides, the abilities of learning and memory are also related to the activation of ERK1/2.

Similar(57)

There is no memory block in the adaptive controller, which reduces the ability of learning.

Additionally, their ability of learning causal relationships is exploited for acquiring and modeling temporal contextual information.

Recently, Convolutional Neural Networks (CNNs) have shown great ability of learning features and attained remarkable performance.

This approach has been proved to have the ability of learning design experience and providing practical design alternatives.

As a cognitive MIMO radar system has the ability of learning, the prior knowledge of the environment state can be obtained from previous measurements.

The MSVM integrates prior knowledge of specific problems in the process of selecting the kernel function, and thus it has the ability of learning and generalization combined.

(2) The development of life course, which means that the conversion from family resources to motivation and ability of learning decreases but the student's endogenous motivation and learning ability become the dominant factors of academic performance.

Compared with traditional diagnostic approaches where feature extraction is needed, the presented approach has the ability of learning hierarchical representations, which are suitable for fault classification, directly from frequency distribution of the measurement data.

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