A big data acquisition multi-core parameter self-adaptive time-sharing memory drive method and system

Abstract

The invention provides a large data collection multi-core parameter self-adaptive time-sharing memory driving method and system. The solution includes logging in through the account password, obtaining the current number of studies, learning words, generating word review reminder time, test questions, test correct answers, and test answer time limits; when the user completes the review task, the memory index of each word is generated and the current memory strength of each word; according to the memory index, memory strength and current memory stock, generate a memory stock extraction function to calculate the time point of the golden memory in each memory cycle; extract historical test data and obtain it through historical data training The target training function, and determine the golden memory time of all users; comprehensively generate the comprehensive memory strength score of each word. This program uses multiple core parameters such as the number of learning times, the number of mistakes, and memory strength to memorize words in a targeted manner, and gives each student a reasonable review time to improve students' memory efficiency.

Description

technical field [0001] The present invention relates to the technical field of foreign language memory, and more specifically, to a large data collection multi-core parameter self-adaptive time-sharing memory driving method and system. Background technique [0002] Memory is the foundation of learning and plays an important role for everyone. In particular, in the current youth education process, how to effectively use and improve one's own memory ability plays an important role in improving the academic performance of young people. Foreign language learning is an important part of education, and its requirements for memory are higher than those of other subjects in the learning process. Therefore, a large number of words and vocabulary, and even sentences need to be memorized by force. Word memorization has become an important hurdle in foreign language learning. [0003] Most of the existing memory methods rely on the existing theoretical knowledge and judge the student...

AI Technical Summary

Problems solved by technology

[0003] Most of the existing memory methods rely on the existing theoretical knowledge and judge the students' learning status according to the preset experience, but cannot know the actual learning status of each student, and then give targeted suggestions for learning and review Time, and targeted test questions, resulting in the learning process can only guess the learning level of each word based on experience, and subjectively judge whether each word has been learned, or whether it has been learned

It leads to repeated learning of words that are known, and repeated forgetting of words that are not

On the one hand, it reduces the learning efficiency, on the other hand, it also reduces the number of reviews and increases the possibility of forgetting

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