Personalized learning optimization method, device and system and storage medium
A storage medium and learner's technology, applied in the field of word learning, can solve the problems of wasting time, effort learning, time wasting, etc., and achieve the effect of improving learning efficiency, saving time and energy, and improving learning efficiency and effectiveness
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Embodiment 1
[0045] Example 1, such as figure 2 As shown, in this embodiment, optimized personalized learning is achieved by associating the learning plan with the learner's familiarity with the words to be learned, that is, more time is allocated to less familiar words, and more time is allocated to less familiar words. Familiar words are given less time.
[0046] The present invention will use the words that the learner already knows to estimate their familiarity with a new word, and this information will be included in the initial state of the customized learning course. Learning planning will be based on this information, and the system will present to learners less familiar words with a higher probability, allowing them enough time to study and review. And for more familiar words, it will pass the test quickly without wasting time and energy.
[0047] It should be understood that words are taken as an example in the embodiment of this program, but the content of this program is obv...
Embodiment 2
[0048] Example 2, such as image 3 As shown, in combination with the above-mentioned embodiments, the embodiment of the present invention provides a method for personalized learning optimization, the method includes:
[0049] The familiarity is estimated by the probability that the user knows the word to be learned given the known word set, that is, P(w|A), where w is the word to be learned, and A is what the user already knows word set.
[0050] Let's say we are a service provider that offers language learning courses to improve users' vocabulary. When a user subscribes to the service, a personalized database is created and over time new words acquired by the user from our language school service become words already mastered by the user. The database does not need to contain words that the user has learned elsewhere, because it is also difficult to know what other words the user knows and where they learned them. For example, simple words like "he", "she", "boy" and "girl...
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