A method for k12 education coupling to realize personalized learning

A K12 and information-based education technology, applied in the Internet field, can solve problems such as the inability to satisfy the comprehensiveness of elementary and middle school students' basic education knowledge
CN107833170BActive Publication Date: 2021-08-24广东墨痕教育科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
广东墨痕教育科技有限公司
Publication Date
2021-08-24

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Abstract

The invention discloses a method for K12 education coupling to realize personalized learning, which belongs to the field of education and teaching technology. The education of primary and secondary school students is very one-sided and cannot satisfy the comprehensiveness of the basic knowledge of primary and secondary school students education. The specific steps are as follows: (1), data collection; (2), z-score normalization; (3), feature selection; (4) ), SVM classification model. Personalized learning is to find and solve the learning problems of the children through the comprehensive evaluation of the specific children, and tailor the learning strategies and learning methods different from others for the children, so that the children can learn effectively and make the primary and middle school students who are exposed to learning , be able to carry out basic learning in all aspects, and avoid the situation that primary and secondary school students have a weak foundation in a certain subject.
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Description

technical field

[0001] The invention relates to the field of Internet technology, in particular to a method for K12 education coupling to realize individualized learning. Background technique

[0002] With the deep integration of information technology and education, big data in the field of education has gained a broader application space. Educational big data enables educational research to move from macro-groups to micro-individuals, provides precise and personalized education, and realizes "teaching students in accordance with their aptitude" driven by data.

[0003] At present, the existing personalized learning tools only start from mining students' interests and hobbies, and adapt to students' interests and hobbies to cultivate learning in this field, but this is very one-sided for primary and middle school students who are getting in touch with basic education, and cannot meet the needs of primary and middle school students' educational foundation. Comprehensiveness...

Claims

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