Sentence examples for better understanding of learning from inspiring English sources

If healthcare professionals had a better understanding of learning disability, they would be able to provide good quality care to everybody, regardless of whether they have a disability or not.

A better understanding of learning processes in arithmetic in healthy adults can guide research into learning disabilities such as dyscalculia.

The results revealed that pedagogical documentation has the potential to improve children's learning, contribute to teachers' awareness of learning processes and help parents gain a better understanding of learning processes in their children's education.

Faculty development programs teaching a better understanding of learning theory and effective supervisory skills would likely improve the learning trajectory of trainees and assist in promoting the well-being of trainees [ 22].

Majors may ultimately demonstrate better understanding of learning goal 1 concepts than nonmajors because majors are forced to grapple with the concepts at a deeper level during the course.

Mathematical models and computer simulations play important roles in developing a better understanding of learning and memory mechanisms.

The purpose of the study was to allow the teachers to have a better understanding of students' learning behavior.

By promoting a better understanding of machine learning itself, metalearning can provide an invaluable help avoiding extensive trial and error procedures for algorithm selection, and brute force searches for suitable parametrisation.

The rapid development of distance learning courses necessitates better understanding of the learning process in the online environment.

With motivation accepted as a malleable, context-sensitive factor, these data provide for both a better understanding of doctoral learning and highlight a potential avenue for future research aimed at improving outcomes and promoting meaningful learning processes in the biomedical doctorate.

In this work, we aim to gain a better understanding of deep learning through exploring the miss-classified cases in facial and emotion recognitions.