CN-121996798-A - AI-fused digital intelligent teaching case library construction and management method

Abstract

The invention discloses an AI-fused digital intelligent teaching case library construction and management method, which belongs to the technical field of teaching, and comprises the following steps of S1: screening a first cultural gene; s2: screening a second cultural gene; s3: constructing a cultural gene hierarchy map; s4: perfecting the culture gene hierarchy map; s5: constructing teaching cases based on the constructed cultural gene level map to form a teaching case library, and managing based on dynamic update of the cultural gene level map; according to the invention, a theoretical historical inheritance logic is deconstructed, and a cultural gene-cognition evolution-self-confidence generation time sequence map analysis model is constructed by combining value fitting logic after teaching of students and dynamically generated self-confidence state logic, so that update instantaneity can be met, an accurate path for enabling the subculture to lead by a digital intelligence technology is realized, and theoretical support and technical solutions are provided for young nurturing in new ages.

Inventors

• LI TONG
• He Zhongxiong
• Xie Mengshan

Assignees

• 郴州职业技术学院

Dates

Publication Date

20260508

Application Date

20251203

Claims (6)

1. 1. The method for constructing and managing the AI-fused digital intelligent teaching case library is characterized by comprising the following steps: S1, inviting specialists to list cultural genes, constructing an initial cultural gene pool, and screening core cultural genes from the initial cultural gene pool to serve as first cultural genes; S2, searching teaching cases, screening teaching cases related to the first cultural genes, periodically sending questionnaire questionnaires to students of the class of teaching cases, judging the cognitive fitness of the first cultural genes and the students for teaching according to the questionnaire results, and screening second cultural genes; S3, constructing a cultural gene level map in Graphiti, wherein a root node is a Chinese excellent cultural outline, a first child node is each first cultural gene, the weight of an edge is the historical inheritance strength of the first cultural gene, a second child node is each period of cognitive state, and the weight of the edge is the fitness of the second cultural gene and the cognitive state and is updated in real time; graphiti dynamically analyzing the self-confidence state of the students after teaching based on each period of cognitive state in the constructed cultural gene hierarchy map, wherein the self-confidence state is used as a third node of the cultural gene hierarchy map, and the weight of the edge is the conversion coefficient of the cognitive state and the self-confidence state; s5, constructing teaching cases based on the constructed cultural gene level map, forming a teaching case library, and managing based on dynamic update of the cultural gene level map.
2. 2. The method for constructing and managing an AI-fused digital intelligent teaching case library according to claim 1, wherein the core cultural genes in step S1 are screened by a preset succession inheritance intensity threshold, and the succession inheritance intensity calculation expression is: ; Wherein: And Representing a preset weight; Expert listing frequency representing cultural genes; Representing the number of specialists; Literature frequency representing cultural genes; represents the maximum frequency of all cultural gene documents.
3. 3. The method for constructing and managing an AI-fused digital intelligence teaching case library as set forth in claim 2, wherein the step of screening teaching cases related to the first cultural genes in step S2 comprises: Specific content of the teaching case is obtained, word segmentation is carried out aiming at the specific content, and a word collection is obtained; judging the similarity between the word vectors in the word set and the first cultural gene vector, wherein the expression is as follows: ; Wherein: And Representation words And a first cultural gene vector Vector representations of (a); an L2 norm representing the vector; presetting a similarity threshold, and judging the frequency of words similar to the first cultural genes in the word set according to the similarity threshold; And if the preset frequency threshold exceeds the preset frequency threshold, the teaching cases related to the first cultural genes are screened.
4. 4. The method for constructing and managing an AI-fused digital intelligence teaching case library as claimed in claim 3, wherein the contents of the questionnaire in step S2 are investigated with option contents including cultural acceptance, value acceptance and behavioral tendencies.
5. 5. The method for constructing and managing an AI-fused learning case library of digital intelligence as set forth in claim 4, wherein the step of determining the cognitive fitness of the first cultural gene and the student in step S2 comprises: presetting a quantization standard of each option of a questionnaire, and presetting a cognitive state standard of each quantization result of the questionnaire; Uniformly quantifying the survey results of the questionnaire based on the quantification standard; Judging a cognitive state result based on the quantitative result of the questionnaire and the cognitive state result is a cognitive state adjective word; and calculating the similarity between the cognitive state and the first cultural gene, summarizing, sequencing according to the time stamp, and judging the evolution progress of the similarity along with the time, wherein if the cognitive state is higher and higher, the cognitive fitness is higher and higher.
6. 6. The method for constructing and managing an AI-fused intelligent teaching case library according to claim 5, wherein the step S4 of dynamically analyzing the confidence state of the student after teaching Graphiti comprises the steps of: And calculating a confidence conversion coefficient through the fit degree of the cognitive state of the students after teaching and the second cultural gene, wherein the conversion coefficient calculation expression is as follows: ; Wherein: Representing the coincidence degree of the back period in the adjacent front and back periods; Representing the coincidence degree of the front period in the adjacent front and rear periods; Representing the sum of the fitness differences over all periods.

Description

AI-fused digital intelligent teaching case library construction and management method Technical Field The invention belongs to the technical field of teaching, and particularly relates to an AI-fused digital intelligence teaching case library construction and management method. Background The teaching cases refer to specific materials or situation carriers which are designed for realizing the root targets of the Lide tree man and bear clear elements and value guidance in course teaching, and the students are guided to actively analyze, think and think back through presenting real events, typical characters, social phenomena or virtual scenes, so that the students are finally helped to build the teaching cases of correct world view, human life view and value view. At present, teaching cases are generally written by experts according to self-compaction theoretical work bottoms and rich practical experience, and a teaching case library is constructed in a summarizing mode. In view of this, an AI-fused digital intelligence teaching case library construction and management method is designed to solve the above-mentioned problems. Disclosure of Invention To solve the problems set forth in the background art. The invention provides an AI-fused digital intelligence teaching case library construction and management method, which has the characteristics of meeting update instantaneity, realizing an accurate path for teaching the teaching of the digital intelligence technology, and providing theoretical support and technical solutions for young nurturing in new age. In order to achieve the purpose, the invention provides the following technical scheme that the method for constructing and managing the AI-fused digital intelligent teaching case library comprises the following steps: S1, inviting specialists to list cultural genes, constructing an initial cultural gene pool, and screening core cultural genes from the initial cultural gene pool to serve as first cultural genes; S2, searching teaching cases, screening teaching cases related to the first cultural genes, periodically sending questionnaire questionnaires to students of the class of teaching cases, judging the cognitive fitness of the first cultural genes and the students for teaching according to the questionnaire results, and screening second cultural genes; S3, constructing a cultural gene level map in Graphiti, wherein a root node is a Chinese excellent cultural outline, a first child node is each first cultural gene, the weight of an edge is the historical inheritance strength of the first cultural gene, a second child node is each period of cognitive state, and the weight of the edge is the fitness of the second cultural gene and the cognitive state and is updated in real time; graphiti dynamically analyzing the self-confidence state of the students after teaching based on each period of cognitive state in the constructed cultural gene hierarchy map, wherein the self-confidence state is used as a third node of the cultural gene hierarchy map, and the weight of the edge is the conversion coefficient of the cognitive state and the self-confidence state; s5, constructing teaching cases based on the constructed cultural gene level map, forming a teaching case library, and managing based on dynamic update of the cultural gene level map. Further, the screening of the core culture genes in the step S1 passes through a preset succession inheritance intensity threshold, and the succession inheritance intensity calculation expression is as follows:; Wherein: And Representing a preset weight; Expert listing frequency representing cultural genes; Representing the number of specialists; Literature frequency representing cultural genes; represents the maximum frequency of all cultural gene documents. Further, the screening step of the teaching case related to the first cultural gene in the step S2 includes: Specific content of the teaching case is obtained, word segmentation is carried out aiming at the specific content, and a word collection is obtained; judging the similarity between the word vectors in the word set and the first cultural gene vector, wherein the expression is as follows: ; Wherein: And Representation wordsAnd a first cultural gene vectorVector representations of (a); an L2 norm representing the vector; presetting a similarity threshold, and judging the frequency of words similar to the first cultural genes in the word set according to the similarity threshold; And if the preset frequency threshold exceeds the preset frequency threshold, the teaching cases related to the first cultural genes are screened. Further, the contents of the questionnaire in the step S2 are investigated with option contents including cultural acceptance, value acceptance and behavioral tendencies. Further, the step of determining the cognitive fitness of the first cultural gene and the student teaching in the step S2 includes: presetting a quantization standard of each