"learning characteristics" is a correct and usable phrase in written English.
You can use this phrase when referring to the traits associated with the process of learning something. For example, "Many children exhibit different learning characteristics, so it is important to tailor their education to their individual needs."
Learning characteristics, as informed by research, vary for each individual learner.
This study first defines learning characteristics of problem-solving digital games and their corresponding cognitive levels, then designs and develops a problem-solving game in accordance to the criteria.
The purpose of learner models is to drive personalization based on learner and learning characteristics that are considered as important for the learning process, such as cognitive, affective and behavioral variables.
Asian learners, including Indians, have been shown to possess learning characteristics such as relying on authority figures like instructors to impart knowledge, dislike of ambiguity and uncertainty, being less autonomous, and more obedient and conforming to rules as compared to Western students (Subramaniam, 2009).
Observed by the evaluation and confirmed as fairly typical, teachers almost do not talk at all about the methods they use, the challenges they face or whether they vary their approaches to suit children's specific learning characteristics (including those influenced by gender).
I felt longer times were more beneficial to learning characteristics" but again gave the program a 3 on question 5. Student 22 stated "Suggestions: - Text that gives 'affirmative'youou got it' change to reiterating family & genus etc. tested on genus-had difficulty connecting visually to family" but gave it a 2 on question 5, indicating above average satisfaction with the program.
Evidently victims of the mimic seek out and learn characteristics that enable them to distinguish between reliable and unreliable cleaners that is, between the model and mimic, respectively.
The mean value of the "blood type" (1.11 ± 0.43) and "native idiom" (6.34 ± 1.21) questions were very close to their expected values of 1 and 7 respectively, showing that students could clearly distinguish between genetically inherited and learned characteristics.
By training the machine learning system on photos of people with their eyes open, the GAN learned characteristics like eye color and shape, while also considering factors such as a person's pose or the photo's lighting.
Learn characteristics of movements.
Learn characteristics of the hair.
