Teaching resource dynamic allocation system based on knowledge coding and an LFNN model

A coding system and knowledge technology, applied in the field of online and offline smart teaching systems, can solve problems such as unclear mixed goals, lack of organic links, and unclear basis for class hour allocation, and achieve the effect of improving teaching efficiency

Pending Publication Date: 2022-02-18
NANJING UNIV OF TECH
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Problems solved by technology

At present, the main problems in promoting smart education are: 1. The application mode of educational informatization in teaching; 2. The repositioning of teachers in smart teaching; 3. The systematic design of smart teaching involving smart teaching, learning, management and evaluation
The main reasons for the formalization of blended teaching are: 1. The mixed goal is not clear; 2. The basis for the allocation of class hours is not clear; 3. The lack of organic connection between online and offline; 4. It is difficult for students to realize independent learning. limited

Method used

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  • Teaching resource dynamic allocation system based on knowledge coding and an LFNN model
  • Teaching resource dynamic allocation system based on knowledge coding and an LFNN model
  • Teaching resource dynamic allocation system based on knowledge coding and an LFNN model

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Embodiment Construction

[0027] The present invention is described with reference to the drawings and embodiments.

[0028] Such as figure 1 As shown, a teaching resource dynamic allocation system based on knowledge coding and LFNN (Learning and forgetting neural network) model, the system is based on the cybernetic model, including the controller model formed by professional teachers and intelligent control modules, as well as knowledge coding system, learning The controlled object model formed by the three subsystems of the situation management system and the teaching plan system. The three subsystems interact and are closely linked. The system flow is mainly as follows:

[0029] S1: According to the teaching experience, professional teachers decompose the teaching knowledge according to the teaching materials, teaching plans, syllabus and other materials, and form multi-level knowledge such as chapters, sections, major knowledge points, and small knowledge points.

[0030] S2: Using difficulty a...

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Abstract

The invention discloses a teaching resource dynamic distribution system based on knowledge coding and an LFNN model. The system is based on a control theory model, and comprises a controller model formed by a professional teacher and an intelligent control module, and a controlled object model formed by three subsystems, namely a knowledge coding system, a learning condition management system and a teaching planning system. Knowledge codes are introduced into teaching, teaching content is converted into quantifiable data, an online and offline intelligent teaching system based on a control theory model is established based on an Ebbinghaus memory curve, overall and individual process learning conditions of students can be accurately analyzed, a teaching plan based on a scientific memory method and a personalized autonomous learning plan are adjusted in real time, teaching is intelligently driven through data, teaching according to materials is promoted, and the teaching efficiency is improved.

Description

technical field [0001] The present invention relates to the field of wisdom teaching and education, in particular to an online and offline wisdom teaching system based on knowledge coding and LFNN model. Background technique [0002] Smart teaching is education informatization, which refers to the process of comprehensively and deeply using modern information technology in the field of education to promote educational reform and development. It is expected to greatly improve teaching efficiency and large-scale individualized teaching. Among them, education informatization and its application innovation are the key technologies to promote smart education. At present, the main problems in promoting smart education are: 1. The application mode of educational informatization in teaching; 2. The repositioning of teachers in smart teaching; 3. The systematic design of smart teaching involving smart teaching, learning, management and evaluation . [0003] In order to comprehensiv...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/20G06F16/25
CPCG06Q10/06311G06Q10/06315G06Q50/205G06F16/252
Inventor 陆春华李旸倪亚茹方亮房正刚朱云峰
Owner NANJING UNIV OF TECH
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