GRE写作Issue部分精品素材分享之学习模式

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死记硬背的必要性

However, with some material, rote learning is the only way to learn it in a timely manner. For example, when learning the Greek alphabet, the vocabulary of a foreign language or the conjugation of foreign irregular verbs, there is no inner structure or their inner complexity is too subtle to be learned explicitly in a short time. However, as in the alphabet example, learning where the alphabet came from helps one to grasp the concept of it and therefore memorize it. (Native speakers and speakers with a lot of experience usually get an intuitive grasp of those subtle rules and are able to conjugate even irregular verbs that they have never heard before.)

一种实际的学习模式

In between sessions try to do something you enjoy or something new and refreshing. It is sometimes easy to view times of study as mundane but they can also be times where you try new experiences and be creative. At first it may seem a little hard to think of things that you don’t normally do and might enjoy and it is different for everyone. Some examples may include going to the park, watching a DVD, painting a picture, going to a museum, meeting friends (but preferably not talking about study), learning a musical instrument, watching a sporting event that you do not normally attend, reading a novel, playing a new sport, etc. It is important to attempt to change a revision period to a time where you are choosing to experience new things as well as choosing to learn new things, which is a much more positive way to approach studying.

联想学习： 机器学习

Although learning is often thought of as a property associated with living things, computers are also able to modify their own behaviors as a result of experiences. Known as machine learning, this is a broad subfield of artificial intelligence concerned with the design and development of algorithms and techniques that allow computers to “learn”. At a general level, there are two types of learning: inductive, and deductive. Inductive machine learning methods extract rules and patterns out of massive data sets.

The major focus of machine learning research is to extract information from data automatically, by computational and statistical methods. Hence, machine learning is closely related to data mining and statistics but also theoretical computer science.

联想学习： 玩耍

Play generally describes behavior which has no particular end in itself, but improves performance in similar situations in the future. This is seen in a wide variety of vertebrates besides humans, but is mostly limited to mammals and birds. Cats are known to play with a ball of string when young, which gives them experience with catching prey. Besides inanimate objects, animals may play with other members of their own species or other animals, such as orcas playing with seals they have caught. Play involves a significant cost to animals, such as increased vulnerability to predators and the risk or injury and possibly infection. It also consumes energy, so there must be significant benefits associated with play for it to have evolved. Play is generally seen in younger animals, suggesting a link with learning. However, it may also have other benefits not associated directly with learning, for example improving physical fitness.

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