CN110570702A - Intelligent teaching system based on bifurcation analysis and working method thereof - Google Patents
Intelligent teaching system based on bifurcation analysis and working method thereof Download PDFInfo
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Abstract
the invention relates to an intelligent teaching system based on bifurcation analysis and a working method thereof, wherein the intelligent teaching system comprises the following steps: the data module is used for storing historical answer records and standard answer records; the writing module is used for writing answers of the test questions by students; the analysis module is used for analyzing the steps according to the written current test question answers and the historical answer records and the standard answers stored in the data module; the decomposition module is used for decomposing the steps obtained by analysis in the analysis module; the comparison module is used for carrying out combined comparison on the steps and layering the steps; the definition module is used for carrying out hierarchy definition according to the step hierarchy; the serial module is used for hierarchically and serially connecting the hierarchical definitions of all the steps according to the definition module; the bifurcation matching module is used for carrying out layered solution judgment of the current step according to the correct mode and the wrong mode of the layered series result bifurcation stage of the student answers of the current test question; and the teaching module is used for selecting the optimal standard solution for the student according to the matching result.
Description
Technical Field
The invention relates to the field of teaching, in particular to an intelligent teaching system based on bifurcation analysis and a working method thereof.
background
Internet education is a new education form combining internet science and technology with the education field along with the continuous development of current science and technology. The informatization technology has permeated all aspects of society, in the field of education, a subversion of informatization is occurring quietly, in the modern information society, the internet has the characteristics of high efficiency, rapidness and convenient transmission, plays an irreplaceable important role in the study and the life of middle and small students, and becomes a good helper for the middle and small students to study, which is not only beneficial to improving the ability of the middle and primary school students to study and communicate on the internet, but also helps the children to increase knowledge, widen the visual field and enlighten the intelligence, but also can more effectively stimulate the learning desire and curiosity of children, can more effectively develop good behavior habits of independent thinking and courage of students in middle and primary schools, comprehensively educate and cultivate future builders and commuters in China, has incomplete current education system, and cannot well provide good learning environment for users and guarantee learning efficiency. Meanwhile, some students cannot formulate good learning schemes and learning contents suitable for themselves according to their own conditions, which can cause the occurrence of white work.
Disclosure of Invention
the purpose of the invention is as follows:
The invention provides an intelligent teaching system based on bifurcation analysis and a working method thereof, aiming at solving the problem that the condition of idle work can be caused because some students cannot formulate good learning schemes and learning contents which are more suitable for the students according to the condition of the students.
the technical scheme is as follows:
an intelligent teaching system based on bifurcation analysis, comprising:
the data module is used for storing historical answer records and standard answer records;
the writing module is used for writing answers of the test questions by the students, and the answers are used as answers of the students of the current test questions;
the analysis module is used for carrying out step analysis according to the current test question answers written by the writing module, the historical answer records stored in the data module and the standard answers;
The decomposition module is used for decomposing the steps obtained by analysis in the analysis module;
The comparison module is used for carrying out combined comparison on the steps and carrying out step layering according to a combined comparison result;
the definition module is used for carrying out hierarchy definition according to the step hierarchy;
The cascade module is used for carrying out hierarchical cascade connection on hierarchical definitions of all the hierarchical steps according to the definition module, and the cascade connection method is one-to-many cascade connection;
the bifurcation matching module is used for carrying out the correct mode and the wrong mode of the bifurcation stage according to the bifurcation stage of the layered series result of the student answers of the current test question written by the writing module to carry out the layered solution judgment of the current step;
and the teaching module selects the optimal standard solution for the student according to the matching result of the bifurcation matching module.
In a preferred embodiment of the present invention, the comparison module performs linkage between the previous step and the next step according to the knowledge points used in each step, and the comparison module performs step stratification according to the advance relationship between the steps for the solution of the test question.
As a preferred mode of the present invention, the definition module extracts the same steps of all the recorded student responses according to the knowledge points, and the definition module uses all the recorded same steps to obtain the intermediate steps of the same steps existing in the corresponding student responses for step-hierarchical definition.
As a preferred mode of the present invention, the cascade module integrates all student responses, and performs cascade connection in a layered manner according to the processing results of all student responses by the analysis module, the decomposition module, the comparison module and the definition module.
In a preferred embodiment of the present invention, the concatenation is performed between the step hierarchies according to a boosting relationship between knowledge points of boundary steps of the step hierarchies, where the boundary steps are a first step and a last step in each step hierarchy.
as a preferred mode of the present invention, due to the series relation and the advance relation between knowledge points, the boundary step of each step hierarchy is associated with a plurality of different boundary steps of the previous and subsequent step hierarchies, and a certain bifurcation is generated between the step hierarchies.
as a preferable mode of the present invention, the bifurcation matching module matches the boosting relationship between the step hierarchies answered by the student of the current question according to bifurcation ports between the step hierarchies.
As a preferred mode of the present invention, the data module, the writing module, the analyzing module, the comparing module, the defining module, the concatenation module, the bifurcation matching module and the teaching module include all the solution results of the current test question, and the solution results include correct solutions and wrong solutions.
as a preferred mode of the invention, all the solution results are stored in the data module in a series of step-hierarchical results and are updated after a student response is not completed.
A working method of an intelligent teaching system based on bifurcation analysis comprises the following steps:
s01: the students use the writing module to answer the test questions;
S02: the analysis module analyzes each adopted knowledge point according to the current student answers;
S03: the decomposition module decomposes student answers into a plurality of steps according to a plurality of single knowledge points;
s04: the comparison module layers the steps under the data support of the data module;
S05: the definition module defines the hierarchy of each step hierarchy;
s06: the series module is used for carrying out series connection among the step hierarchies according to the condition whether a connection relation exists among boundary steps of each step hierarchy;
S07: the bifurcation matching module matches correct answers and similar wrong answers of similar knowledge point structures according to the cascade between each level of the current student answers and the cascade result of the step hierarchy in the data module;
s08: and the teaching module selects the optimal standard solution to perform correct solution analysis and selects similar error solutions to perform error comparison analysis.
The invention realizes the following beneficial effects:
the problem that some students cannot make good learning schemes and learning contents which are more suitable for themselves according to the conditions of themselves and the condition of idle work is caused is solved.
drawings
the accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a system framework diagram of the present invention;
FIG. 2 is a diagram of the working steps of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
the first embodiment is as follows:
The reference figures are figure 1 and figure 2. An intelligent teaching system based on bifurcation analysis, comprising:
the data module 1 is used for storing historical answer records and standard answer records;
The writing module 2 is used for writing answers of the test questions by students, and the answers are used as answers of the students of the current test questions;
the analysis module 3 is used for performing step analysis according to the current test question answers written by the writing module 2, and the historical answer records and the standard answers stored in the data module 1;
the decomposition module 4 is used for decomposing the steps analyzed by the analysis module 3;
The comparison module 5 is used for carrying out combined comparison on the multiple steps and carrying out step layering according to a combined comparison result;
a definition module 6, configured to perform hierarchical definition according to the step hierarchy;
A cascade module 7, configured to perform hierarchical cascade connection on hierarchical definitions of each step hierarchy according to the definition module 6, where the cascade connection method is one-to-many cascade connection;
The bifurcation matching module 8 is used for carrying out the solution judgment of the layering of the current step according to the correct mode and the wrong mode of the bifurcation stage of the layering series result of the student answers of the current test question written by the writing module 2;
and the teaching module 9 selects the optimal standard solution for the student according to the matching result of the bifurcation matching module 8.
in a preferred embodiment of the present invention, the comparison module 5 performs the connection between the previous step and the next step according to the knowledge points adopted in each step, and the comparison module 5 performs the step layering according to the advancing relationship between the steps for the test question solution.
as a preferred mode of the present invention, the definition module 6 extracts the same steps of all the recorded student responses according to the knowledge points, and the definition module 6 uses all the recorded same steps to obtain the intermediate step hierarchical definition of the same steps existing in the corresponding student responses.
As a preferred mode of the present invention, the concatenation module 7 integrates all student responses, and performs a step-wise concatenation on the processing results of all student responses according to the analysis module 3, the decomposition module 4, the comparison module 5 and the definition module 6.
In a preferred embodiment of the present invention, the concatenation is performed between the step hierarchies according to a boosting relationship between knowledge points of boundary steps of the step hierarchies, where the boundary steps are a first step and a last step in each step hierarchy.
as a preferred mode of the present invention, due to the series relation and the advance relation between knowledge points, the boundary step of each step hierarchy is associated with a plurality of different boundary steps of the previous and subsequent step hierarchies, and a certain bifurcation is generated between the step hierarchies.
As a preferred mode of the present invention, the bifurcation matching module 8 matches the boosting relationship between the step hierarchies answered by the student of the current question according to the bifurcations between the step hierarchies.
as a preferred mode of the present invention, the data module 1, the writing module 2, the analyzing module 3, the comparing module 5, the defining module 6, the concatenation module 7, the bifurcation matching module 8 and the teaching module 9 enclose all the solution results of the current test question, including correct solutions and wrong solutions.
As a preferred mode of the present invention, all the solution results are stored in the data module 1 as a series of hierarchical steps and are updated after a student response is not completed.
a working method of an intelligent teaching system based on bifurcation analysis comprises the following steps:
s01: the students use the writing module 2 to answer the test questions;
S02: the analysis module 3 analyzes each adopted knowledge point according to the current student answers;
s03: the decomposition module 4 decomposes the student answers into a plurality of steps according to a plurality of single knowledge points;
s04: the comparison module 5 layers the steps under the data support of the data module 1;
s05: the definition module 6 defines the hierarchy of each step hierarchy;
s06: the series module 7 is used for carrying out series connection among the step hierarchies according to whether the connection relation exists among the boundary steps of each step hierarchy;
s07: the bifurcation matching module 8 matches correct solutions and similar wrong solutions of similar knowledge point structures with the cascading results of the step hierarchies in the data module 1 according to the cascading between each hierarchy of the current student answers;
s08: the teaching module 9 selects the optimal standard solution for correct solution analysis and selects a similar error solution for error comparison analysis.
in a specific implementation process, after the student test question solution is completed, the analysis module 3 analyzes the student answer according to the knowledge point, for example, the test question is related to the series and the limit, the student answer analysis can be performed by adopting modes such as 'factorization', 'taylor expansion' and 'limit solution', the solution content adopting 'factorization' is judged to have a and B, the solution content adopting 'taylor expansion' has C, D and E, the solution content adopting 'limit solution' has F, and the solution content a to F is respectively determined to be six steps by the decomposition module 4, namely, the steps a to F; since the used knowledge points are respectively the same, the comparison module 5 determines the solution contents a and B as a hierarchy, determines the solution contents C, D and E as a hierarchy, and determines the solution content F as a hierarchy after searching the past solution experiences in the data module 1. At this time, step a and step B, step C and step E, step F serve as boundary steps of the corresponding hierarchy, respectively.
after the boundary step is confirmed, the concatenation module 7 searches whether there is an intermediate step or a hierarchy between the step hierarchies of the current solution in the other solutions in the hierarchical concatenation results of the past solutions in the database, if so, one hierarchy is left between the corresponding two hierarchies and is concatenated, for example, there is an equivalent substitution between the "factorization" and the "taylor expansion", when the step hierarchy is graded, the "factorization" is 1, the corresponding steps are 1A and 1B, the "equivalent substitution" is 2, the "taylor expansion" is 3, the corresponding steps are 3C, 3D and 3E, the "limit of solution" is 4, and the corresponding step is 4F; if not, the concatenation is performed directly, e.g., if "factorization" is 1, corresponding steps 1A, 1B, "taylor expansion" is 2, corresponding steps 2C, 2D, 2E, "limit finding" is 3, corresponding step 3F.
it is worth mentioning that, in the past record, the hierarchical concatenation has certain divergence in each level, for example, after "factorization", taylor expansion "or" lagrangian expansion "may be adopted, so there may be branches, which are correct and wrong, so for the hierarchical concatenation result in the history record, only the solution finally pointing to the correct answer is correct, and the solution reaching the correct answer always advances to the correct side on multiple branches.
The bifurcation matching module 8 directly searches corresponding hierarchies in the hierarchical series result of the historical record through hierarchy grading of each hierarchy, and demarcates the hierarchies in the step of occurrence of errors, a plurality of forks form similar error solutions which are currently answered by students, and the teaching module 9 performs teaching according to the similar error solutions.
the above embodiments are merely illustrative of the technical ideas and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention. All equivalent changes or modifications made according to the spirit of the present invention should be covered within the protection scope of the present invention.
Claims (10)
1. An intelligent teaching system based on bifurcation analysis, comprising:
The data module is used for storing historical answer records and standard answer records;
the writing module is used for writing answers of the test questions by the students, and the answers are used as answers of the students of the current test questions;
The analysis module is used for carrying out step analysis according to the current test question answers written by the writing module, the historical answer records stored in the data module and the standard answers;
the decomposition module is used for decomposing the steps obtained by analysis in the analysis module;
The comparison module is used for carrying out combined comparison on the steps and carrying out step layering according to a combined comparison result;
The definition module is used for carrying out hierarchy definition according to the step hierarchy;
the cascade module is used for carrying out hierarchical cascade connection on hierarchical definitions of all the hierarchical steps according to the definition module, and the cascade connection method is one-to-many cascade connection;
The bifurcation matching module is used for analyzing a correct mode and an error mode of a bifurcation stage according to the bifurcation stage of the layered series result of the student answers of the current test question written by the writing module and performing layered solution judgment of the current step;
And the teaching module is used for selecting the optimal standard solution for the student according to the matching result of the bifurcation matching module.
2. A smart teaching system based on bifurcation analysis as claimed in claim 1, wherein: the comparison module is used for connecting the previous steps and the next steps according to the knowledge points adopted by each step, and the comparison module is used for layering the steps according to the propulsion relation of the steps to the answer of the test questions.
3. A smart teaching system based on bifurcation analysis as claimed in claim 2, wherein: the definition module extracts the same steps of all recorded student answers according to the knowledge points, and the definition module acquires the intermediate steps of the same steps in the corresponding student answers by using all the recorded same steps to carry out step-layered hierarchical definition.
4. A smart teaching system based on bifurcation analysis as claimed in claim 3, wherein: the series module integrates all students to answer and performs step-by-step series connection according to the processing results of the analysis module, the decomposition module, the comparison module and the definition module to answer all students.
5. The intelligent teaching system based on bifurcation analysis as claimed in claim 4, wherein: the series connection mode is that series connection between all step hierarchies is carried out according to the advancing relationship between knowledge points of boundary steps of all step hierarchies, and the boundary steps are the first step and the last step in each step hierarchy.
6. An intelligent teaching system based on bifurcation analysis as claimed in claim 5, wherein: due to the serial relation and the propulsion relation among knowledge points, the boundary step of each step hierarchy is associated with a plurality of different boundary steps of the previous step hierarchy and the next step hierarchy, and a certain bifurcation is generated among the step hierarchies.
7. the intelligent teaching system based on bifurcation analysis as claimed in claim 6, wherein: the bifurcation matching module matches the boosting relationship among the step hierarchies answered by the students of the current test question according to bifurcation ports among the step hierarchies.
8. a smart teaching system based on bifurcation analysis as claimed in claim 7, wherein: the data module, the writing module, the analysis module, the comparison module, the definition module, the series module, the bifurcation matching module and the teaching module contain all the answer results of the current test questions, and all the answer results comprise correct answers and wrong answers.
9. A smart teaching system based on bifurcation analysis as claimed in claim 8, wherein: all the answer results are stored in the data module in a series connection mode of step layering, and data updating is carried out after one student answering is not completed.
10. a method for operating an intelligent teaching system based on bifurcation analysis, which uses the intelligent teaching system based on bifurcation analysis as claimed in claim 9, comprising the following steps:
s01: the students use the writing module to answer the test questions;
s02: the analysis module analyzes each adopted knowledge point according to the current student answers;
S03: the decomposition module decomposes student answers into a plurality of steps according to a plurality of single knowledge points;
s04: the comparison module layers the steps under the data support of the data module;
S05: the definition module defines the hierarchy of each step hierarchy;
S06: the series module is used for carrying out series connection among the step hierarchies according to the condition whether a connection relation exists among boundary steps of each step hierarchy;
S07: the bifurcation matching module matches correct answers and similar wrong answers of similar knowledge point structures according to the cascade between each level of the current student answers and the cascade result of the step hierarchy in the data module;
S08: and the teaching module selects the optimal standard solution to perform correct solution analysis and selects similar error solutions to perform error comparison analysis.
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