Word memory intelligent learning method and system thereof

An intelligent learning and word technology, applied in energy-saving computing, special data processing applications, instruments, etc., can solve problems such as not being suitable for learners, unable to achieve memory effects, etc., to save time, energy, and trouble.

Inactive Publication Date: 2013-11-27
FUDAN UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, because each person's memory ability is different, the difficulty of memorizing each word is also different, and the time learners use to memorize words every day may also change, so the use of a fixed memory program cannot be suitable for all learners, and cannot achieve the best results. memory effect

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The implementation process of the above method and system will be described below through specific examples. Here, take "Zhang San" memorizing the two words "herbivore" and "acute" in the sixth grade vocabulary of college English as an example.

[0028] A. Prepare the database. First build the database, including word list, memory table and system setting table. Then, add records to the word list. For example, add the word "herbivore" record in the word list: [word (herbivore), part of speech (noun), interpretation (herbivore), example sentence (Cows and sheep are herbivores.), pronunciation (omitted here), root (vore = eat), synonym ( ), synonym ( ), neologism (is)]; add word " acute " record: [word (acute), part of speech (adjective), paraphrase (keen, very serious, sharp (angle) ), example sentences (Dogs have an acute sense of smell. / There is an acute shortage of water. / acute angle), pronunciation (omitted here), root ( ), synonyms ( ), synonyms ( ), neologisms...

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PUM

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Abstract

The invention belongs to the technical field of an intelligent memory method, and particularly relates to a word memory intelligent learning method and a system thereof. According to the memory ability of different learners, times spent on the memory of words in each day and the degree of difficulty of memorizing different words, the forgetting models of each word in different periods (transient memory, short-term memory and long-term memory) are calculated, then according to a forgetting critical point, the optimal review time of each word is accurately calculated, thus new word amount of each memory and old word amount of review are planned, and the overall learning progress can be predicated. The learning system established according to the above method is accurate and rapid, a lot of times and energy are saved for the learner, thus the efficiency of word memory is raised, and the system is especially suitable for memorizing a large amount of words. This system is applied to a computer or various smart mobile devices.

Description

technical field [0001] The invention belongs to the technical field of intelligent memory methods, and in particular relates to an intelligent learning method and system for memorizing words. Background technique [0002] When learning any language, vocabulary is a very important indicator to measure a person's mastery of this language. Take learning English as an example. It took many Chinese students 16 years to learn English from elementary school to university graduation, and they only mastered about 6,000 words (College English Level 6), while American elementary school graduates have 16,000 words. 12,000 words, and American college graduates have even reached 24,000 words. That is to say, Chinese college students must use dictionaries to read American elementary school textbooks. It is conceivable how difficult it is to read American college textbooks. Why is the gap so large? The key is that Chinese people lack a set of scientific learning methods in learning Englis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G09B19/06G06F17/30
CPCY02D10/00
Inventor 孙晓光吴继红
Owner FUDAN UNIV
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