CN110689249A - Comprehensive analysis system and analysis method for literacy capability of mathematical disciplines - Google Patents
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Abstract
The invention belongs to the technical field of comprehensive analysis of literacy of mathematics disciplines, and discloses a comprehensive analysis system and a comprehensive analysis method of literacy of mathematics disciplines, wherein personal information of students is input by utilizing an input program; testing the mathematic literacy of the students by using a test program; scoring the student answer results; dividing the grade of the student mathematic literacy ability; comprehensively evaluating the mathematical literacy of the students by utilizing an evaluation program according to the scoring result and the capability grade; training the student math problem solving; the student mathematics learning is investigated by using an investigation program. The problem solving training efficiency is greatly improved through the training module; the investigation module is used for knowing the mathematical learning state of the student according to the acquired parameters of the mathematical learning of the student, providing a personalized solution plan, being beneficial to solving the problem of the mathematical learning of the student, being beneficial to a teacher to carry out quantitative analysis on the mathematical learning of the student and being beneficial to improving the mathematical learning efficiency of the student.
Description
Technical Field
The invention belongs to the technical field of comprehensive analysis of the literacy capability of the mathematical discipline, and particularly relates to a comprehensive analysis system and an analysis method of the literacy capability of the mathematical discipline.
Background
The mathematics literacy belongs to a comprehensive thinking form of cognition and methodology, and has conceptual, abstract and patterned cognitive features. People with mathematics literacy are good at popularizing and applying concept conclusions and processing methods in mathematics to know all objective things, and have the philosophical height and the cognitive characteristics. In particular, a person with "mathematical literacy" often exhibits three characteristics in his activities of understanding and modifying the world; one is that when discussing a problem, one is used to emphasize the definition (defining the concept) and to emphasize the conditions under which the problem exists; secondly, when observing the problem, the user is used to grasp the (function) relation therein and further makes a multi-factor global (full-space) consideration on the basis of microscopic (local) knowledge; thirdly, when the problem is recognized, the existing strict mathematical concepts such as dual, related, random, extensive, nonlinear, periodic, chaotic and the like are used to be generalized for recognizing the problem in reality. For example, it can be seen that the price is the dual of the commodity, the benefit is the general connotation of the company, and the like. However, the existing comprehensive analysis system for the literacy ability of the mathematics subject can not provide the function of training the problem of the mathematics subject; meanwhile, students cannot be investigated for mathematical learning.
In summary, the problems of the prior art are as follows:
in the prior art, the comprehensive analysis equipment for discipline literacy has large operation and low problem solving training efficiency; the teacher can not be facilitated to quantify the mathematical learning of the student through specific data analysis, and the improvement on the learning efficiency of the student is poor.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a comprehensive analysis system and an analysis method for the literacy capability of a mathematical discipline.
The invention is realized in this way, a mathematical discipline literacy comprehensive analysis system, comprising:
and the personal information input module is connected with the main control module and is used for inputting personal information of students through an input program.
And the main control module is connected with the personal information input module, the mathematic test module, the scoring module, the capability grade dividing module, the comprehensive evaluation module, the training module, the investigation module and the display module and is used for controlling the normal work of each module through the host.
And the mathematics test module is connected with the main control module and is used for testing the problem of the mathematics literacy ability of the students through the test program.
And the scoring module is connected with the main control module and is used for scoring the student answer results through a scoring program.
And the capability grade dividing module is connected with the main control module and is used for dividing the mathematical literacy capability grade of the student according to the scoring result of the student through a dividing program.
And the comprehensive evaluation module is connected with the main control module and is used for comprehensively evaluating the mathematical literacy of the students according to the scoring result and the capability grade through an evaluation program.
And the training module is connected with the main control module and used for training the student mathematics problem solving through a training program.
And the investigation module is connected with the main control module and is used for investigating the mathematical learning of the students through an investigation program.
And the display module is connected with the main control module and used for displaying personal information, test contents, scoring results, literacy capability division results, evaluation results and investigation results of students through a display.
Further, the personal information input module for inputting the personal information of the students through the input program comprises a verification module and a verification service management module.
The authentication module includes:
and the caching module caches the input personal login information.
And the switching module is used for switching the operation interface according to the operation command.
The authentication service management module comprises:
and the user query module is used for inputting related instructions to query related contents on a starting interface of a user.
The user can set a corresponding password according to the requirement of the user, and the user can access and only access authorized resources.
And the data matching module is used for comparing and verifying the input information according to the stored information.
Further, the personal information input module is also provided with a security gateway authentication module, the security gateway authentication module is used for sending a request to the identity verification module by a user, and the identity verification module displays a related required certificate to the user according to the instruction. And the user submits the related certificate to the identity authentication module according to the prompt requirement.
Further, the main control module for controlling each module to normally work through the host comprises:
and the data storage module is used for storing related data in the whole system in a classified manner.
The data transmission module is connected with the cloud server through the controller through the wireless transmission module to realize data transmission and downloading;
the data extraction module is used for retrieving key information related to students in the system through a corresponding program;
and the data verification module is used for verifying the identity of the student through a corresponding program.
Further, the data storage module for classified storage of the related data in the whole system is provided with a data classification module comprising:
the characteristic data establishing module is used for establishing corresponding classification samples and band classification samples for the data in the central control unit;
and the data comparison module is used for comparing the classified sample data with the classified sample data and establishing a plurality of corresponding data samples with different characteristics.
And the weight calculation module is used for calculating corresponding weights for each group of samples according to the corresponding calculation models.
And the data comparison middle finger module compares the weight corresponding to each sample with a set numerical condition. When the condition is satisfied, the routine is terminated. And when the condition is not met, continuing to classify.
Further, the comprehensive evaluation index system in the comprehensive evaluation module for comprehensively evaluating the mathematical literacy of the students according to the scoring results and the capability grades through the evaluation program comprises:
and the guide evaluation module fully develops knowledge, capability and quality of students comprehensively and harmoniously in the aspects of determining the guide thought, employment demand, target system, index setting, weight distribution and the like of evaluation.
And the comprehensive evaluation module reflects the quality condition of students in a multi-level, multi-view and multi-channel manner in the evaluation process.
And the process and termination evaluation module adheres to the principle of combining termination evaluation and process evaluation when implementing comprehensive evaluation.
And the personalized evaluation module is used for evaluating according to the psychology and the personalized characteristics of the interest, the ability and the hobby of the students.
The evaluation module can be operated, so that the established evaluation system can realize the principles of comparability, measurability, simplicity and feasibility.
Another object of the present invention is to provide a mathematical discipline literacy comprehensive analysis method of the mathematical discipline literacy comprehensive analysis system, including:
step one, inputting personal information of students by using an input program through a personal information input module.
And step two, the dispatching mathematics test module tests the students' mathematics literacy ability by using a test program. And meanwhile, scoring is carried out on the answer results of the students by using a scoring program. And classifying the grade of the mathematical literacy of the students according to the scoring result of the students.
And step three, comprehensively evaluating the mathematical literacy of the students by utilizing an evaluation program through a comprehensive evaluation module according to the scoring result and the capability grade. And training the student mathematic problem solving by using a training program.
And step four, utilizing a survey program to survey the mathematical learning of the students through a survey module. And displaying personal information of students, test contents, scoring results, literacy division results, evaluation results, and investigation results by using a display.
Further, the training module training method comprises the following steps:
1) determining, by a training program, a simplified formula template library for training text, the formula template library containing simplified formula templates for solving the mathematical problem. Wherein the simplified formula template is a formula template that does not consider the unknown quantity itself in the training text any more.
2) And extracting the feature vector of the training text.
3) Determining weight vectors for the mathematical problem solution model by solving a quadratic programming problem that is reduced by maximizing a margin between a correct solution and an incorrect solution.
The extracting the feature vector of the training text comprises:
and determining the feature vector elements of the training text according to the context features of the numbers, the similarity and the correlation degree between the contexts of different numbers in the training text, and/or the correlation degree between the numbers and the question sentences in the training text.
Determining the feature vector elements of the training text according to the context features of the numbers comprises: and extracting part-of-speech labels, word labels and dependency features in the context of the numbers.
Determining the feature vector elements of the training text according to the similarity between the contexts of different numbers in the training text comprises: and extracting characteristic parameters of different numbers in the training text. And determining the feature vector elements of the training text according to the similarity of the feature parameters of different numbers in the training text.
The characteristic parameters comprise: words in the context of the number, part-of-speech tags in the context of the number, and dependency features in the context of the number.
The determining the feature vector elements of the training text according to the degree of correlation between the contexts of different numbers in the training text comprises:
and acquiring noun phrases associated with the numbers.
And determining the characteristic vector elements of the training text according to the appearance sequence of different nouns in the noun phrase.
The investigation module investigation method comprises the following steps:
(1) and acquiring interest difference information of the students in mathematical learning. The interest difference information includes at least one of: the interest difference information of the students in the mathematics learning, the attention degree of the students in the mathematics learning, the degree of autonomy of the students in the mathematics learning, the attention degree of the students in the mathematics learning, the receptivity of the students in the mathematics learning, the homework completion condition of the students in the mathematics learning and the time of the students in the mathematics learning.
(2) And analyzing the interest difference information according to a preset mathematical model to obtain mathematical learning preference information of a preset number of students.
(3) And generating the preset quantity of personalized mathematic learning plans according to the mathematic learning preference information of the students. The personalized mathematic learning plan is used for providing mathematic learning plan coaching information for each student of the preset number of students.
The interest information is specifically:
the interest difference information of the mathematical learning includes: are of great interest, teaching interest, little interest, and no interest. The interest difference information of the mathematical learning is used for obtaining interest preference information of the student on the mathematical learning.
The degrees of importance of the mathematical learning include: interest, great influence on the ascending, practical value, dependence on math teachers and aversion to mathematics. The importance degree of the mathematical learning is used for obtaining the information of the importance degree of the student on the mathematical learning.
The degree of autonomy of the mathematical learning includes: the teacher can learn according to the requirement, the result is poor and does not want to learn, the teacher can not learn consistently and can learn well with confidence. The degree of independence of the mathematical learning is used for obtaining the degree of independence information of the mathematical learning of the student.
The attention degree of the mathematical learning includes: easy distraction, concentration, unclear speaking, understanding only and thinking as required by the teacher. The attention degree of the mathematical learning is used for obtaining the attention condition information of the mathematical learning of the student.
The receptivity of the mathematical learning includes: immediate acceptance, partial acceptance, time required and complete incomprehension. The acceptance of the mathematical learning is used for obtaining the acceptance information of the mathematical learning of the student.
The operation completion condition of the mathematical learning comprises the following steps: timely and quantitatively finished, not timely finished and not done at all. And the completion condition of the mathematic learning is used for obtaining the completion condition information of the mathematic homework of the student.
The time of the mathematical learning includes: within one hour, one to two hours, and more than two hours. The time of the mathematical learning is used for obtaining the mathematical learning time information of the student.
The students comprise boys, and the acquiring of the interest difference information of the students in the mathematical learning comprises the following steps: acquiring the interest difference information of the boys for the mathematical learning.
Analyzing the interest difference information according to a preset mathematical model, and acquiring mathematical learning preference information of a preset number of students comprises: and analyzing the interest difference information according to a preset mathematical model to obtain mathematical learning preference information of a preset number of boys.
Generating the preset number of personalized mathematic learning plans according to the mathematic learning preference information of the students comprises the following steps:
and generating a common mathematical learning plan for the boys to learn and an individual mathematical learning plan for the boys with the preset number according to the mathematical learning preference information of the boys.
The invention also aims to provide an information data processing terminal for realizing the comprehensive analysis method of the mathematical discipline literacy.
It is another object of the present invention to provide a computer-readable storage medium comprising instructions which, when executed on a computer, cause the computer to perform the mathematical discipline literacy comprehensive analysis method.
The invention has the advantages and positive effects that:
according to the invention, the training module extracts the feature vector of the training text according to the simplified formula template base determined for the training text, and determines the weight vector of the mathematical problem solving model by solving the quadratic programming problem obtained by the margin and the specification between the maximum correct solution and the maximum wrong solution, thereby effectively reducing the search space during model solving training, reducing the operation amount and greatly improving the problem solving training efficiency. Meanwhile, the investigation module is used for knowing the mathematical learning state of the student according to the acquired parameters of the mathematical learning of the student and providing a personalized solution plan, so that the problem of the mathematical learning of the student is solved, a teacher can quantitatively analyze the mathematical learning of the student, and the mathematical learning efficiency of the student is improved.
Drawings
Fig. 1 is a block diagram of a mathematical discipline literacy comprehensive analysis system provided in an embodiment of the present invention.
In the figure: 1. a personal information input module; 2. a main control module; 3. a mathematical test module; 4. a scoring module; 5. a capability rating module; 6. a comprehensive evaluation module; 7. a training module; 8. a survey module; 9. and a display module.
Fig. 2 is a schematic diagram of a personal information input module according to an embodiment of the present invention.
In the figure: 1-1, a verification module; 1-2, verifying a service management module; 1-3, a cache module; 1-4, a switching module; 1-5, a user query module; 1-6, an authority authentication module; 1-7, a data matching module; 1-8, a security gateway authentication module.
Fig. 3 is a schematic diagram of a main control module according to an embodiment of the present invention.
In the figure: 2-1, a data storage module; 2-2, a data transmission module; 2-3, a data extraction module; 2-4, a data verification module.
Fig. 4 is a schematic diagram of a data storage module according to an embodiment of the invention.
In the figure, 2-1-1 is provided with a data classification module; 2-1-1-1, a characteristic data establishing module; 2-1-1-2, a data comparison module; 2-1-1-3, a weight calculation module; 2-1-1-4, and a data comparison middle finger module.
Fig. 5 is a schematic diagram of a comprehensive evaluation index system in the comprehensive evaluation module according to the embodiment of the present invention.
In the figure: 6-1, a guide evaluation module; 6-2, a comprehensive evaluation module; 6-3, a process and termination evaluation module; 6-4, a personalized evaluation module; 6-5, an operable evaluation module.
Fig. 6 is a flowchart of a mathematical discipline literacy comprehensive analysis method provided by an embodiment of the present invention.
Detailed Description
In order to further understand the contents, features and effects of the present invention, the following embodiments are exemplified and included in the detailed description with reference to the accompanying drawings.
In the prior art, the comprehensive analysis equipment for discipline literacy has large operation and low problem solving training efficiency; the teacher can not be facilitated to quantify the mathematical learning of the student through specific data analysis, and the improvement on the learning efficiency of the student is poor.
To solve the above problems, the structure of the present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the mathematical discipline literacy comprehensive analysis system provided by the embodiment of the present invention includes: the system comprises a personal information input module 1, a main control module 2, a mathematic test module 3, a scoring module 4, a capability grade dividing module 5, a comprehensive evaluation module 6, a training module 7, a survey module 8 and a display module 9.
And the personal information input module 1 is connected with the main control module 2 and is used for inputting personal information of students through an input program.
The main control module 2 is connected with the personal information input module 1, the mathematic test module 3, the scoring module 4, the capability grade dividing module 5, the comprehensive evaluation module 6, the training module 7, the investigation module 8 and the display module 9, and is used for controlling the normal work of each module through a host.
And the mathematics test module 3 is connected with the main control module 2 and is used for testing the problem of the mathematics literacy ability of the students through the test program.
And the scoring module 4 is connected with the main control module 2 and is used for scoring the answer results of the students through a scoring program.
The capability grade dividing module 5 is connected with the main control module 2 and is used for dividing the mathematical literacy grade of the student according to the scoring result of the student through a dividing program;
and the comprehensive evaluation module 6 is connected with the main control module 2 and is used for comprehensively evaluating the mathematical literacy of the students according to the scoring results and the capability grades through an evaluation program.
And the training module 7 is connected with the main control module 2 and used for training the student mathematics problem solving through a training program.
And the investigation module 8 is connected with the main control module 2 and is used for investigating the mathematical learning of the students through an investigation program.
And the display module 9 is connected with the main control module 2 and is used for displaying personal information, test contents, scoring results, literacy division results, evaluation results and investigation results of students through a display.
Fig. 2 is a personal information input module 1 for inputting personal information of students through an input program according to an embodiment of the present invention, which includes:
an authentication module 1-1 comprising: the device comprises a cache module and a switching module.
The authentication service management module 1-2 includes: the system comprises a user query module, a permission authentication module and a data matching module.
And the cache module 1-3 caches the input personal login information.
And the switching module 1-4 switches the operation interface according to the operation command.
And the user query module 1-5 inputs related instructions to query related contents on a starting interface of a user.
The authority authentication module 1-6, the user can set the corresponding password according to the needs of oneself, realize can visit and can only visit the resource that oneself authorizes.
And the data matching module 1-7 is used for comparing and verifying the input information according to the stored information by the system.
The personal information input module 1 is also provided with a security gateway authentication module 1-8, and the working process in the security gateway authentication module is as follows:
the user sends a request to the authentication module 1-1, and the authentication module 1-1 displays the relevant certificate required to be authenticated to the user according to the instruction. And the user submits the related certificate to the identity authentication module according to the prompt requirement.
As shown in fig. 3, the main control module 2 for controlling each module to normally operate through the host according to the embodiment of the present invention further includes:
and the data storage module 2-1 is used for storing related data in the whole system in a classified manner.
And the data transmission module 2-2 is connected with the cloud server through the controller and the wireless transmission module to realize data transmission and downloading.
And the data extraction module 2-3 retrieves the key information related to the students in the system through a corresponding program.
And the data verification module 2-4 is used for verifying the identity of the student through a corresponding program.
As shown in fig. 4, the data storage module 2-1 for storing related data in a classified manner in the whole system is provided with a data classification module 2-1-1, and the data classification module 2-1-1 includes:
and the characteristic data establishing module 2-1-1-1 establishes corresponding classification samples and band classification samples for the data in the central control unit.
And the data comparison module 2-1-1-2 is used for comparing the classified sample data with the classified sample data and establishing a plurality of corresponding data samples with different characteristics.
And the weight calculation module 2-1-1-3 is used for calculating corresponding weights for each group of samples according to the corresponding calculation models.
And the data comparison module 2-1-1-4 compares the weight corresponding to each sample with a set numerical condition. When the condition is satisfied, the routine is terminated. And when the condition is not met, continuing to classify.
As shown in fig. 5, the comprehensive evaluation index system in the comprehensive evaluation module 6 for comprehensively evaluating the mathematical literacy of the student according to the scoring result and the capability level through the evaluation program comprises:
the guide evaluation module 6-1 fully enables knowledge, capability, quality and the like of students to be comprehensively and harmoniously developed in the aspects of determining the guidance thought, employment demand, target system, index setting, weight distribution and the like of evaluation.
The comprehensive evaluation module 6-2 reflects the diathesis condition of students in a multi-level, multi-view and multi-channel manner in the evaluation process.
And the process and termination evaluation module 6-3 adheres to the principle of combining termination evaluation and process evaluation when implementing comprehensive evaluation.
And the personalized evaluation module 6-4 evaluates according to the psychological and personalized characteristics of the students in the aspects of interests, abilities, hobbies and the like.
The evaluation module 6-5 can be operated, so that the constructed evaluation system can be made to be in the principles of comparability, measurability, simplicity, feasibility and the like.
As shown in fig. 6, the comprehensive analysis method for the mathematical discipline literacy provided by the embodiment of the present invention specifically includes the following steps:
and S101, inputting personal information of the student by using the input program through the personal information input module.
And S102, the dispatching mathematics test module tests the mathematics literacy ability of the students by using the test program. And meanwhile, scoring is carried out on the answer results of the students by using a scoring program. And classifying the grade of the mathematical literacy of the students according to the scoring result of the students.
And S103, comprehensively evaluating the mathematical literacy of the student through the comprehensive evaluation module by utilizing an evaluation program according to the scoring result and the capability grade. And training the student mathematic problem solving by using a training program.
And S104, utilizing a survey program to survey the mathematical learning of the student through a survey module. And displaying personal information of students, test contents, scoring results, literacy division results, evaluation results, and investigation results by using a display.
The invention is further described with reference to specific examples.
Example 1
The training method of the training module 7 provided by the invention comprises the following steps:
1) determining, by a training program, a simplified formula template library for training text, the formula template library containing simplified formula templates for solving the mathematical problem. Wherein the simplified formula template is a formula template that does not consider the unknown quantity itself in the training text any more.
2) And extracting the feature vector of the training text.
3) Determining weight vectors for the mathematical problem solution model by solving a quadratic programming problem that is reduced by maximizing a margin between a correct solution and an incorrect solution.
The feature vector for extracting the training text provided by the invention comprises the following steps:
and determining the feature vector elements of the training text according to the context features of the numbers, the similarity and the correlation degree between the contexts of different numbers in the training text, and/or the correlation degree between the numbers and the question sentences in the training text.
Determining the feature vector elements of the training text according to the context features of the numbers comprises: and extracting part-of-speech labels, word labels and dependency features in the context of the numbers.
Determining the feature vector elements of the training text according to the similarity between the contexts of different numbers in the training text comprises: and extracting characteristic parameters of different numbers in the training text. And determining the feature vector elements of the training text according to the similarity of the feature parameters of different numbers in the training text.
The characteristic parameters provided by the invention comprise: words in the context of the number, part-of-speech tags in the context of the number, and dependency features in the context of the number.
The method for determining the feature vector elements of the training text according to the correlation degree between the contexts of different numbers in the training text comprises the following steps:
and acquiring noun phrases associated with the numbers.
And determining the characteristic vector elements of the training text according to the appearance sequence of different nouns in the noun phrase.
Example 2
The investigation module 8 provided by the invention comprises the following investigation methods:
(1) and acquiring interest difference information of the students in mathematical learning. The interest difference information includes at least one of: the interest difference information of the students in the mathematics learning, the attention degree of the students in the mathematics learning, the degree of autonomy of the students in the mathematics learning, the attention degree of the students in the mathematics learning, the receptivity of the students in the mathematics learning, the homework completion condition of the students in the mathematics learning and the time of the students in the mathematics learning.
(2) And analyzing the interest difference information according to a preset mathematical model to obtain mathematical learning preference information of a preset number of students.
(3) And generating the preset quantity of personalized mathematic learning plans according to the mathematic learning preference information of the students. The personalized mathematic learning plan is used for providing mathematic learning plan coaching information for each student of the preset number of students.
The interest information provided by the invention specifically comprises the following steps:
the interest difference information of the mathematical learning includes: are of great interest, teaching interest, little interest, and no interest. The interest difference information of the mathematical learning is used for obtaining interest preference information of the student on the mathematical learning.
The degrees of importance of the mathematical learning include: interest, great influence on the ascending, practical value, dependence on math teachers and aversion to mathematics. The importance degree of the mathematical learning is used for obtaining the information of the importance degree of the student on the mathematical learning.
The degree of autonomy of the mathematical learning includes: the teacher can learn according to the requirement, the result is poor and does not want to learn, the teacher can not learn consistently and can learn well with confidence. The degree of independence of the mathematical learning is used for obtaining the degree of independence information of the mathematical learning of the student.
The attention degree of the mathematical learning includes: easy distraction, concentration, unclear speaking, understanding only and thinking as required by the teacher. The attention degree of the mathematical learning is used for obtaining the attention condition information of the mathematical learning of the student.
The receptivity of the mathematical learning includes: immediate acceptance, partial acceptance, time required and complete incomprehension. The acceptance of the mathematical learning is used for obtaining the acceptance information of the mathematical learning of the student.
The operation completion condition of the mathematical learning comprises the following steps: timely and quantitatively finished, not timely finished and not done at all. And the completion condition of the mathematic learning is used for obtaining the completion condition information of the mathematic homework of the student.
The time of the mathematical learning includes: within one hour, one to two hours, and more than two hours. The time of the mathematical learning is used for obtaining the mathematical learning time information of the student.
The students provided by the invention comprise boys, and the acquiring of the interest difference information of the students in mathematical learning comprises the following steps: acquiring the interest difference information of the boys for the mathematical learning.
Analyzing the interest difference information according to a preset mathematical model, and acquiring mathematical learning preference information of a preset number of students comprises: and analyzing the interest difference information according to a preset mathematical model to obtain mathematical learning preference information of a preset number of boys.
Generating the preset number of personalized mathematic learning plans according to the mathematic learning preference information of the students comprises the following steps:
and generating a common mathematical learning plan for the boys to learn and an individual mathematical learning plan for the boys with the preset number according to the mathematical learning preference information of the boys.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent changes and modifications made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention.
Claims (10)
1. A mathematical discipline literacy comprehensive analysis system, comprising:
the personal information input module is connected with the main control module and is used for inputting personal information of students through an input program;
the main control module is connected with the personal information input module, the mathematic test module, the scoring module, the capability grade dividing module, the comprehensive evaluation module, the training module, the investigation module and the display module and is used for controlling the normal work of each module through the host;
the mathematics test module is connected with the main control module and used for testing the problem of the mathematics literacy ability of the students through the test program;
the scoring module is connected with the main control module and is used for scoring the student answer results through a scoring program;
the capability grade dividing module is connected with the main control module and is used for dividing the mathematical literacy grade of the student according to the scoring result of the student through a dividing program;
the comprehensive evaluation module is connected with the main control module and is used for comprehensively evaluating the mathematical literacy of the students according to the scoring result and the capability grade through an evaluation program;
the training module is connected with the main control module and used for training the mathematical problem solving of the student through a training program;
the investigation module is connected with the main control module and is used for investigating the mathematical learning of students through an investigation program;
and the display module is connected with the main control module and used for displaying personal information, test contents, scoring results, literacy capability division results, evaluation results and investigation results of students through a display.
2. The integrated mathematical discipline literacy analysis system of claim 1, wherein the personal information input module for inputting personal information of students through an input program comprises a verification module, a verification service management module;
the authentication module includes:
the caching module caches the input personal login information;
the switching module switches the operation interface according to the operation command;
the authentication service management module comprises:
the user query module is used for inputting related instructions to query related contents on a starting interface of a user;
the authority authentication module can set a corresponding password according to the needs of the user, and realizes that the user can access and only can access authorized resources;
and the data matching module is used for comparing and verifying the input information according to the stored information.
3. The comprehensive analysis system for mathematics discipline literacy as claimed in claim 1, wherein the personal information input module is further provided with a security gateway authentication module, the security gateway authentication module is used for the user to send a request to the identity verification module, and the identity verification module displays the relevant required certificate to the user according to the instruction; and the user submits the related certificate to the identity authentication module according to the prompt requirement.
4. The system for comprehensive analysis of mathematical discipline literacy capability of claim 1, wherein the main control module for controlling the normal operation of each module through the host computer comprises:
the data storage module is used for storing related data in the whole system in a classified manner;
the data transmission module is connected with the cloud server through the controller through the wireless transmission module to realize data transmission and downloading;
the data extraction module is used for retrieving key information related to students in the system through a corresponding program;
and the data verification module is used for verifying the identity of the student through a corresponding program.
5. The system for comprehensive analysis of mathematical discipline literacy capability of claim 1, wherein the data storage module for storing the related data in a classified manner in the whole system is provided with a data classification module comprising:
the characteristic data establishing module is used for establishing corresponding classification samples and band classification samples for the data in the central control unit;
the data comparison module is used for comparing the classified sample data with the classified sample data and establishing a plurality of corresponding data samples with different characteristics;
the weight calculation module is used for calculating corresponding weights for each group of samples according to the corresponding calculation models;
the data comparison middle finger module compares the weight corresponding to each sample with a set numerical condition; when the condition is satisfied, terminating the program; and when the condition is not met, continuing to classify.
6. The system for comprehensively analyzing the mathematical discipline literacy capability of claim 1, wherein the comprehensive evaluation index system in the comprehensive evaluation module for comprehensively evaluating the mathematical literacy capability of the student according to the scoring result and the capability level through the evaluation program comprises:
the guide evaluation module fully develops knowledge, capability and quality of students comprehensively and harmoniously in the aspects of determining the guide thought, employment demand, target system, index setting, weight distribution and the like of evaluation;
the comprehensive evaluation module reflects the quality condition of students in multiple layers, multiple visual angles and multiple channels in the evaluation process;
the process and termination evaluation module insists on the principle of combining termination evaluation and process evaluation when implementing comprehensive evaluation;
the personalized evaluation module is used for evaluating according to the psychology and the personalized characteristics of the interest, the ability and the hobby of the students;
the evaluation module can be operated, so that the established evaluation system can realize the principles of comparability, measurability, simplicity and feasibility.
7. A mathematical discipline literacy comprehensive analysis method of the mathematical discipline literacy comprehensive analysis system according to claim 1, wherein the mathematical discipline literacy comprehensive analysis method comprises:
step one, inputting personal information of students by using an input program through a personal information input module;
step two, the dispatching mathematics test module tests the mathematics literacy ability of the student by using the test program; meanwhile, scoring is carried out on the answer results of the students by using a scoring program; dividing the grade of the mathematical literacy of the students according to the scoring result of the students;
step three, comprehensively evaluating the mathematical literacy of the students by utilizing an evaluation program through a comprehensive evaluation module according to the scoring result and the capability grade; training the student mathematic problem solving by using a training program;
step four, utilizing a survey program to survey the mathematical learning of the students through a survey module; and displaying personal information of students, test contents, scoring results, literacy division results, evaluation results, and investigation results by using a display.
8. The mathematical discipline literacy comprehensive analysis method of claim 7, wherein the training module training method comprises:
1) determining, by a training program, a simplified formula template library for a training text, the formula template library containing simplified formula templates for solving the mathematical problem; the simplified formula template is a formula template which does not consider the unknown quantity in the training text;
2) extracting a feature vector of the training text;
3) determining a weight vector of the mathematical problem solution model by solving a quadratic programming problem that is solved by a reduction by maximizing a margin between a correct solution and an incorrect solution;
the extracting the feature vector of the training text comprises:
determining feature vector elements of the training text according to the context features of the numbers, the similarity and the correlation degree between the contexts of different numbers in the training text, and/or the correlation degree between the numbers and question sentences in the training text;
determining the feature vector elements of the training text according to the context features of the numbers comprises: extracting part-of-speech tags, word tags and dependency characteristics in the context of the numbers;
determining the feature vector elements of the training text according to the similarity between the contexts of different numbers in the training text comprises: extracting characteristic parameters of different numbers in the training text; determining feature vector elements of the training text according to the similarity degree of feature parameters of different numbers in the training text;
the characteristic parameters comprise: words in the context of the number, part-of-speech tags in the context of the number, and dependency features for the context of the number;
the determining the feature vector elements of the training text according to the degree of correlation between the contexts of different numbers in the training text comprises:
acquiring noun phrases associated with the numbers;
determining feature vector elements of the training text according to the appearance sequence of different nouns in the noun phrase;
the investigation module investigation method comprises the following steps:
(1) acquiring interest difference information of students in mathematical learning; the interest difference information includes at least one of: the interest difference information of the students in the mathematical learning, the attention degree of the students to the mathematical learning, the autonomous degree of the students in the mathematical learning, the attention degree of the students in the mathematical learning, the receptivity of the students in the mathematical learning, the homework completion condition of the students in the mathematical learning and the time of the students in the mathematical learning;
(2) analyzing the interest difference information according to a preset mathematical model to obtain mathematical learning preference information of a preset number of students;
(3) generating personalized mathematical learning plans with the preset number according to the mathematical learning preference information of the students; the personalized mathematic learning plan is used for providing mathematic learning plan tutoring information for each student of the preset number of students;
the interest information is specifically:
the interest difference information of the mathematical learning includes: very interesting, instructive, somewhat interesting and uninteresting; the interest difference information of the mathematical learning is used for obtaining interest preference information of students for the mathematical learning;
the degrees of importance of the mathematical learning include: interest, great influence on the rising, practical value, dependence on math teachers and aversion to mathematics; the importance degree of the mathematical learning is used for obtaining the information of the importance degree of students on the mathematical learning;
the degree of autonomy of the mathematical learning includes: learning according to the requirements of teachers, having poor performance and no desire to learn, being difficult to learn and insisting on learning and having confidence and good learning; the degree of independence of the mathematical learning is used for obtaining the degree of independence information of the mathematical learning of the students;
the attention degree of the mathematical learning includes: easy distraction, concentration, unclear speaking, understanding only and thinking according to the requirements of teachers; the attention degree of the mathematical learning is used for obtaining the attention condition information of the mathematical learning of the student;
the receptivity of the mathematical learning includes: immediate acceptance, partial acceptance, time required and complete incompletion; the acceptance of the mathematical learning is used for obtaining the acceptance information of the mathematical learning of the student;
the operation completion condition of the mathematical learning comprises the following steps: timely and quantitatively finished, not timely finished and not finished at all; the completion condition of the mathematic learning is used for obtaining the completion condition information of the mathematic homework of the student;
the time of the mathematical learning includes: within one hour, one to two hours, and more than two hours; the time of the mathematical learning is used for obtaining the mathematical learning time information of the student;
the students comprise boys, and the acquiring of the interest difference information of the students in the mathematical learning comprises the following steps: acquiring interest difference information of boys for mathematical learning;
analyzing the interest difference information according to a preset mathematical model, and acquiring mathematical learning preference information of a preset number of students comprises: analyzing the interest difference information according to a preset mathematical model to obtain mathematical learning preference information of a preset number of boys;
generating the preset number of personalized mathematic learning plans according to the mathematic learning preference information of the students comprises the following steps:
and generating a common mathematical learning plan for the boys to learn and an individual mathematical learning plan for the boys with the preset number according to the mathematical learning preference information of the boys.
9. An information data processing terminal for implementing the comprehensive analysis method of the mathematical discipline literacy capability of any one of claims 7 to 8.
10. A computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform the mathematical discipline literacy comprehensive analysis method of any one of claims 7-8.
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