CN115131183A - Method and system for improving physical education teaching effect - Google Patents
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Abstract
The invention provides a method and a system for improving physical education teaching effect, which relate to the technical field of teaching method optimization and are used for analyzing physical quality of a teaching object based on information of the teaching object to obtain a physical quality information set of the teaching object, the teaching content information is acquired, the teaching content corresponding to each course stage is subjected to characteristic analysis to determine a teaching arrangement characteristic information set, the relation of the arrangement target of the teaching courses is determined according to the teaching target and the arrangement of the teaching courses, the construction of the target function relation is further carried out, the optimal course arrangement information of the teaching target is determined by utilizing the genetic algorithm, the problems that most of the teaching course arrangements in the prior art are integrated teaching and the conditions of students are not considered in the prior art are solved, the technical problem of teaching results can be influenced to a certain extent, and the purpose of maximizing teaching quality by carrying out course arrangement optimization is achieved.
Description
Technical Field
The invention relates to the technical field of teaching method optimization, in particular to a method and a system for improving physical education teaching effect.
Background
In the physical education process, because of the differences of physical quality and receptivity of different students, the final teaching result has certain discrepancy, the problem of the education industry needing to be solved is solved by improving the classroom teaching quality, and the teaching resources and the teaching scale are fully utilized based on the prior teaching resources, so that the maximum utilization of the teaching resources is achieved.
At present, most teaching course arrangements are mostly integrated teaching, students are not considered in the teaching course arrangements, and teaching results can be influenced to a certain extent.
Disclosure of Invention
The application provides a method and a system for improving physical education teaching effect, which are used for solving the technical problems that most teaching course arrangements existing in the prior art are mostly centralized teaching, students are not considered to the self condition, and the teaching results are influenced to a certain extent.
In view of the above, the present application provides a method and system for improving a physical education effect.
In a first aspect, the present application provides a method for improving a physical education effect, the method comprising: obtaining teaching object information; analyzing the physical quality of the teaching object according to the information of the teaching object to obtain a physical quality information set of the teaching object; obtaining teaching content information, wherein the teaching content information comprises a teaching target and teaching course arrangement; performing characteristic analysis on teaching contents corresponding to each course stage based on the teaching course arrangement to determine a teaching arrangement characteristic information set, wherein the teaching arrangement characteristic information set comprises the physical consumption rate of a teaching project; determining a teaching course arrangement target relation according to the teaching target and the teaching course arrangement; constructing a target function relationship between a physical education effect and the physical ability consumption rate of the teaching item, the arrangement target relationship of the teaching courses and the physical quality information of the teaching object; and determining the optimal course arrangement information of the teaching target by utilizing a genetic algorithm based on the target function relationship.
In a second aspect, the present application provides a system for improving physical education, the system comprising: the information acquisition module is used for acquiring the information of the teaching object; the quality analysis module is used for carrying out physical quality analysis on the teaching object according to the teaching object information to obtain a teaching object physical quality information set; the teaching content acquisition module is used for acquiring teaching content information, and the teaching content information comprises a teaching target and teaching course arrangement; the characteristic analysis module is used for carrying out characteristic analysis on the teaching contents corresponding to all course stages based on the teaching course arrangement to determine a teaching arrangement characteristic information set, and the teaching arrangement characteristic information set comprises the physical consumption rate of a teaching project; the relation determining module is used for determining the relation of the teaching course arrangement target according to the teaching target and the teaching course arrangement; the functional relation construction module is used for constructing a target functional relation between a physical education effect and the physical ability consumption rate of the teaching item, the teaching course arrangement target relation and the physical quality information of the teaching object; and the information determining module is used for determining the optimal course arrangement information of the teaching target by utilizing a genetic algorithm based on the target function relation.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the method for improving the physical education effect, physical quality analysis is carried out on a teaching object according to the obtained teaching object information to obtain a teaching object physical quality information set, information acquisition is carried out on a teaching object and teaching course arrangement to obtain teaching content information, feature analysis is carried out on teaching contents corresponding to all course stages based on the teaching course arrangement to determine a teaching arrangement feature information set, a teaching course arrangement target relation is determined according to the teaching object and the teaching course arrangement, a target function relation is constructed based on physical education effect and the teaching item physical consumption rate, the teaching course arrangement target relation and the teaching object physical quality information, and the optimal course arrangement information of the teaching object is further determined by utilizing a genetic algorithm. Through optimizing course arrangement, most of the teaching course arrangement of having solved existence among the prior art is mostly the collectivized teaching, does not consider student's self condition wherein, can influence the technical problem of teaching result to a certain extent, reaches the maximize of teaching quality.
Drawings
FIG. 1 is a schematic flow chart of a method for improving a physical education effect according to the present application;
FIG. 2 is a schematic diagram illustrating a process of obtaining a sports quality information set in a method for improving a sports teaching effect according to the present application;
FIG. 3 is a schematic diagram illustrating a process of constructing a target function relationship in a method for improving a physical education effect according to the present application;
fig. 4 is a schematic structural diagram of a system for improving a physical education effect according to the present application.
Description of reference numerals: the system comprises an information acquisition module a, a quality analysis module b, a teaching content acquisition module c, a characteristic analysis module d, a relation determination module e, a function relation construction module f and an information determination module g.
Detailed Description
This application is through providing a method and system that improves sports teaching effect, carry out information extraction and analysis respectively to teaching object's sports quality and teaching content, acquire the relevant information set, further to the teaching effect of the teaching object of teaching characteristic analysis who draws, and then carry out the structure of objective function relation, confirm the optimal course arrangement of teaching object according to the genetics algorithm on this basis, use this as the standard to carry out the course arrangement of teaching object, in order to reach the teaching effect maximize, be used for solving the teaching course arrangement that exists among the prior art and mostly be the centralized teaching, do not consider student's self condition wherein, can influence the technical problem of teaching result to a certain extent.
Example one
As shown in fig. 1, the present application provides a method for improving a physical education effect, the method including:
step S100: obtaining teaching object information;
in particular to a method for improving physical education, which analyzes the physical quality of a teaching object and further extracts and analyzes the characteristics of corresponding teaching contents, on the basis, the relation of the teaching course arrangement target is determined, the relation of the related target function is further determined, the optimal course arrangement of the teaching target is obtained based on the genetic algorithm, firstly, acquiring the information of the teaching object, wherein the teaching object information comprises teaching object identity information, physical quality information, physical fitness state information, historical course records, health degree and the like, the acquired relevant information is integrated and further stored, so that the later extraction and calling are convenient, by acquiring the information of the teaching object as an information source, a practical basis is provided for the follow-up physical quality analysis of the teaching object.
Step S200: analyzing the physical quality of the teaching object according to the information of the teaching object to obtain a physical quality information set of the teaching object;
specifically, based on the acquired information of the teaching object, information extraction, classification and analysis are carried out on the teaching object, the identity and corresponding historical teaching data of the teaching object are determined, on the basis, extraction and analysis of course performance characteristics of a plurality of corresponding courses are carried out on the teaching object, analysis and evaluation are carried out on the course performance characteristics based on corresponding judgment standards, the course performance degree of the teaching object is determined, the advantages and disadvantages of the teaching object are further analyzed according to the sports scores of the teaching object, corresponding sports completion degrees aiming at a plurality of projects are determined, further analysis of physical examination records of the teaching object is carried out, the physical quality condition of the teaching object is determined, the physical quality is different and correspondingly influences the completion degree of the sports projects, the relevant information is comprehensively analyzed, analysis results are integrated, and the physical quality of the teaching object is acquired, And determining the physical quality information set of the teaching object according to the health degree and the physical completion degree, and analyzing the physical quality of the teaching object to obtain the physical quality set of the teaching object, so that subsequent targeted course arrangement is facilitated.
Step S300: obtaining teaching content information, wherein the teaching content information comprises a teaching target and teaching course arrangement;
specifically, according to course information related to a plurality of different sports projects, related teaching content information is determined, a related teaching target is determined by performing course analysis, the teaching target refers to a standard to be achieved by the sports projects, namely the completion degree of the sports projects, the teaching target is further refined and is refined into a plurality of small targets to be completed, teaching course arrangement is performed on the basis, the task amount to be completed by each course is determined, for example, for a basketball course, three-step basket is taken as a teaching target, course teaching is arranged as small targets for dribbling, turning, direction-changing running, cross-stepping and the like, finally the teaching target is examined, the obtained teaching target and the teaching course arrangement are sorted, the teaching content information is obtained, and the teaching content is determined, the method can further carry out concrete analysis and lays a foundation for determining the relation of the teaching course arrangement targets.
Step S400: performing characteristic analysis on teaching contents corresponding to each course stage based on the teaching course arrangement to determine a teaching arrangement characteristic information set, wherein the teaching arrangement characteristic information set comprises the physical consumption rate of a teaching project;
step S500: determining a teaching course arrangement target relation according to the teaching target and the teaching course arrangement;
specifically, according to the acquired teaching content information, feature extraction and analysis are performed on teaching content corresponding to each course stage in the teaching course arrangement, physical energy consumption rate corresponding to each related teaching item is analyzed, consumption degree of each teaching item physical energy is determined, teaching item suitability degree analysis can be further performed on the teaching object based on a physical energy evaluation result, the teaching item accomplishment degree can be evaluated on the teaching object, targeted course arrangement adjustment is performed, feature analysis is performed on the teaching content corresponding to each course arrangement stage, and then the teaching arrangement feature information set is determined, wherein the teaching arrangement feature information set refers to information features related to expression teaching strength, such as physical energy consumption, included in the teaching content.
Further, according to the obtained teaching content information, determining the corresponding teaching targets and the teaching course arrangement, wherein the teaching targets refer to standards to be achieved in a teaching process, the teaching course arrangement refers to a series of teaching progresses made based on the teaching targets, on the basis, determining the relation of the teaching course arrangement targets, the relation of the teaching course arrangement targets refers to the corresponding completion degree relation between the teaching targets and the teaching course arrangement, multiple arranged teaching courses respectively correspond to multiple sub-targets in the teaching targets, determining the corresponding relation between the teaching targets and the teaching course arrangement targets, and building the target function relation by determining the relation of the teaching course arrangement targets and the teaching arrangement characteristic information set.
Step S600: constructing a target function relationship between a physical education effect and the physical ability consumption rate of the teaching item, the arrangement target relationship of the teaching courses and the physical quality information of the teaching object;
specifically, based on the acquired physical ability consumption rate of the teaching item, the teaching course arrangement target relationship and the physical quality information of the teaching object, analyzing the influence degree of the physical teaching effect, determining the influence degree of each index on the physical teaching effect, establishing a corresponding target function relationship on the basis, determining and analyzing the physical ability matching amount of the teaching object on the basis of the physical ability consumption rate of the teaching item to determine the physical ability matching relationship of each teaching object, grouping the teaching objects according to the physical ability matching amount, determining the teaching target effect relationship corresponding to the corresponding teaching item on the basis, combining the physical ability matching relationship of each teaching object with the teaching target effect relationship of the teaching item to be used as the final target function relationship, and establishing the target function relationship on the basis of the established target function relationship, and carrying out optimization processing on the course arrangement of the teaching target.
Step S700: and determining the optimal course arrangement information of the teaching target by utilizing a genetic algorithm based on the target function relationship.
Specifically, the teaching target, the teaching course arrangement and the teaching object physical quality information set are respectively mapped genetically based on a genetic algorithm, a series of related information chains determined according to corresponding indexes are used as a single chromosome, the chromosome refers to related index information corresponding to the teaching course arrangement, wherein, a plurality of pieces of index information are genes on corresponding chromosomes, a plurality of chromosome sets are obtained as a primary chromosome population, on the basis, chromosome fitness value comparison is carried out, the first chromosome with the highest fitness value is determined, and performing probability selective mating on chromosomes, selecting a parent chromosome according to the adaptive value to perform mating optimization, obtaining offspring chromosomes to perform parent chromosome replacement, and further selecting the optimal chromosome to perform adaptive value comparison replacement with the first chromosome.
Similarly, the obtained plurality of course arrangement conditions are subjected to application comparison, the current optimal course arrangement is determined, index replacement among different course arrangements is further carried out according to probability, a new course arrangement condition is obtained, application comparison is further carried out, application comparison is carried out based on the course arrangement after index replacement, the current most optimal course arrangement is determined, comparison is carried out with the previous optimal course arrangement, a better person is positioned in the current optimal course arrangement, the optimization operation is repeated until a preset requirement is met, the obtained current optimal course arrangement is positioned in the teaching target optimal course arrangement information, and the optimal course arrangement information is the course arrangement which is determined based on physical endurance conditions of various students and corresponding teaching targets and can obtain the maximum teaching quality effect.
Further, as shown in fig. 2, the step S200 of performing physical quality analysis on the teaching object according to the teaching object information to obtain a physical quality information set of the teaching object further includes:
step S210: determining the identity of a teaching object according to the teaching object information, and extracting the historical record data of the teaching object based on the identity of the teaching object to obtain historical course records and physical examination records;
step S220: extracting sports scores and curriculum performance characteristics of the teaching object according to the historical curriculum records to obtain the characteristics of the sports curriculum of the teaching object;
step S230: analyzing according to the physical examination record and preset sports related index characteristics to obtain sports teaching related indexes;
step S240: and establishing the physical quality information set of the teaching object by using the physical course characteristics of the teaching object, the relevant indexes of physical teaching, historical course records and physical examination records.
Specifically, the teaching target information is acquired, the identity of the teaching target is confirmed, and then parameter information is extracted from the historical course record and the physical examination record of the teaching target, so as to obtain the historical record data of the teaching target, wherein the historical record data of the teaching target refers to the course record and the physical examination record of the teaching target in a certain past time period, the sports score and the course performance of the teaching target are extracted based on the historical course record, a plurality of sports items which are participated in are classified and summarized, for example, the standard degree and the goal rate of actions are analyzed for the concrete performances of dribbling, pitching and the like of a certain student relative course record of a basketball course, and the grading is carried out according to the grading standard, so as to determine the corresponding scores of each sports item of the teaching target and the relative performances of the course, and further determining the sports course characteristics of the teaching object, wherein the sports course characteristics refer to an analysis scoring benchmark capable of expressing the performance degree of the courses related to the teaching object.
Further, based on the obtained physical examination record, performing analysis according to preset sports related index characteristics, the preset sports related index characteristics refer to corresponding evaluation characteristic standards of a plurality of preset sports items, and based on the evaluation characteristic standards, the teaching object is evaluated and analyzed to determine the corresponding teaching target under the corresponding physical condition, to obtain the teaching index of the teaching object, based on the physical lesson characteristics, the physical teaching related index, the historical lesson record and the physical examination record of the teaching object, and integrating and summarizing the relevant characteristic indexes to obtain the physical quality information set of the teaching object, wherein the physical quality information set of the teaching object corresponds to the teaching object one by one, and based on the obtained physical quality information set, the targeted teaching analysis can be further carried out to determine the corresponding teaching mode and teaching standard.
Further, as shown in fig. 3, an objective function relationship between a physical education effect and the physical ability consumption rate of the teaching item, the teaching course arrangement objective relationship, and the physical quality information of the teaching object is constructed, and the step S600 of the present application further includes:
step S610: according to the physical ability consumption rate of the teaching item and the physical quality information of the teaching object, carrying out physical ability matching analysis on the teaching object to obtain a physical ability matching relation of each teaching object;
step S620: classifying the teaching objects according to matching quantity based on the physical matching relation of the teaching objects to obtain teaching object groups, wherein the teaching object groups comprise the grouping information of the teaching items;
step S630: according to the grouped information of each teaching item, respectively carrying out physical teaching effect relation analysis on the relation between each teaching item and the teaching course arrangement target, and determining the teaching target effect relation of each teaching item;
step S640: and constructing the objective function relationship based on the physical matching relationship of each teaching object and the teaching target effect relationship of each teaching item, wherein the objective function relationship is the physical matching relationship of each teaching object plus the teaching target effect relationship of each teaching item.
Specifically, the physical fitness matching analysis is performed on the teaching objects according to the acquired physical fitness consumption rate of each teaching item and the physical fitness information of the teaching object, the physical fitness matching relation of each teaching object is determined due to the difference between the physical fitness information of each teaching object and the corresponding difference between physical fitness consumed for completing the teaching item, the teaching objects are classified according to the physical fitness matching relation of each teaching object according to the corresponding matching amount, the teaching objects in different groups of classified teaching objects are distinguished according to the corresponding teaching strengths, the corresponding teaching object groups are determined, the corresponding teaching items are grouped and divided simultaneously based on the different teaching object groups and are in one-to-one correspondence with each other, and the physical teaching effect relation analysis is performed on the teaching items and the teaching course arrangement target relation based on the grouping information of each teaching object, and further analyzing teaching effects corresponding to different teaching item groups, establishing the objective function relationship according to the acquired physical matching relationship of each teaching object and the teaching target effect relationship of each teaching item, wherein the teaching target function relationship refers to the teaching effect achieved by expressing the physical fitness of the teaching object and the matched teaching target, the objective function relationship is the physical matching relationship of each teaching object plus the teaching target effect relationship of each teaching item, and course arrangement can be performed on the teaching target on the basis of the established objective function relationship.
Further, based on the objective function relationship, determining optimal course arrangement information of the teaching objective by using a genetic algorithm, wherein step S700 of the present application further includes:
step 1, carrying out chromosome coding on each data in the teaching target, teaching course arrangement and teaching object physical quality information set, constructing an initialization chromosome based on the chromosome coding, and obtaining an initial population chromosome;
step 2, evaluating the adaptive value of the chromosomes of the initial population through an evaluation function, determining the optimal chromosome according to the adaptive value and storing the optimal chromosome as a first chromosome;
step 3, selecting the initial population chromosomes by adopting a preset selection algorithm to generate a new population with the same scale as the initial population chromosomes;
step 4, selecting chromosomes from the new population according to the probability setting requirement to mate, obtaining mating chromosomes and updating the new population;
step 5, evaluating the adaptation value of the updated new population through an evaluation function, determining that the maximum adaptation value is compared with the adaptation value of the first chromosome, and performing optimal chromosome replacement when the adaptation value of the first chromosome is exceeded;
and 6, repeatedly executing the steps 3-5 until a preset termination condition is met, and taking the teaching course arrangement determined by the finally determined optimal chromosome as the optimal course arrangement information of the teaching target.
Specifically, based on the obtained teaching target, teaching course arrangement and teaching object sports quality information set, mapping the information, performing encoding processing on the information by analogy chromosomes, performing analogy matching, wherein a corresponding information chain in the teaching target, teaching course arrangement and teaching object sports quality information set can be called a chromosome, the corresponding element information on the information chain is a gene in the information chain, performing integration processing on the obtained chromosome encoding set to serve as the initial population chromosome, further evaluating the initial population chromosome and the inverse fitness value, scoring and evaluating the superiority and inferiority of the initial population chromosome and the inverse fitness value according to a fitness function, wherein the fitness function is a function of scoring all generated chromosomes, further evaluating the fitness of the chromosomes, and determining the chromosome with the largest fitness value as the optimal chromosome according to the obtained fitness value evaluation result, the chromosome is determined as the first chromosome and stored, the initial population chromosomes are selected based on a preset selection algorithm, region segmentation is carried out based on the size of an adaptive value, namely, the larger the adaptive value is, the larger the corresponding region occupation ratio is, the chromosome population is correspondingly divided, a new population with the same scale as the initial population chromosomes is generated, chromosomes are selected from the new population based on probability setting for mating, the probability of the selected mating is higher due to the larger chromosome region occupation ratio with the high adaptive value, the chromosome mating refers to the fact that two chromosomes serve as parent chromosomes to carry out cross evolution, two corresponding sub chromosomes are obtained, and chromosome iteration is carried out to update the chromosome population.
Based on the updated chromosome population, evaluating the fitness of the chromosome population based on a fitness evaluation function, determining a corresponding fitness evaluation result, acquiring a chromosome with the maximum fitness, comparing the chromosome with the acquired first chromosome, if the fitness of the chromosome is greater than the first chromosome, replacing the optimal chromosome, taking the chromosome as the first chromosome for replacement, repeating the operations until a preset termination condition is reached, wherein the preset termination condition means that the first chromosome reaches the expected fitness, terminating the preferential operation, and taking the determined optimal chromosome as the optimal course arrangement of a teaching target for teaching as the final course arrangement for teaching.
Further, a preset selection algorithm is adopted to perform selection operation on the initial population chromosomes to generate a new population with the same scale as the initial population chromosomes, and the step 3 of the application further includes:
step 3-1: calculating the fitness sum of the initial population by adopting a roulette selection algorithm;
step 3-2: respectively calculating the ratio of each chromosome fitness value to the total population fitness value;
step 3-3: determining the new population based on the ratio of each chromosome fitness value to the sum of population fitness values.
Specifically, the selection operation is carried out on the acquired initial population chromosomes, the fitness sum of the initial chromosome population is calculated based on the acquired fitness values of a plurality of chromosomes based on a roulette selection algorithm, the ratio of the fitness value of each chromosome to the fitness value of the chromosome is further calculated, the fitness value of each chromosome is determined based on the ratio size of the fitness value sum of the chromosome population, the new population is further determined, the corresponding selection probability is determined based on the corresponding fitness value ratio size, the roulette region division is carried out, the selection determination of the mated parent chromosomes is carried out on the basis of the selection determination, and a basic condition is provided for carrying out the cross evolution of the chromosomes.
Further, according to the probability setting requirement, chromosomes are selected from the new population for mating, mating chromosomes are obtained, and the new population is updated, wherein the step 4 of the application further comprises the following steps:
step 4-1: screening the new population based on probability setting requirements, and determining mating chromosome information;
step 4-2: and randomly pairing and mating the mating chromosome information to generate a progeny chromosome, and performing chromosome updating on the new population by using the progeny chromosome, wherein the corresponding mating chromosome which does not participate is directly copied into the new population.
Specifically, based on the established chromosome fitness value wheel disc, corresponding wheel disc area determination is carried out based on fitness value proportion, namely the greater the fitness value is, the greater the probability of being selected to mate is, the new population is screened based on probability setting, parent chromosome information to be mated is determined, based on the mating chromosome information, random mating is carried out to carry out cross evolution of chromosome genes, new sub chromosomes are generated, wherein two parent chromosomes can generate two sub chromosomes, the number of chromosome populations is not changed, replacement updating of chromosomes is carried out on the chromosome populations based on the sub chromosomes, replacement is not carried out on chromosomes which are not mated, the chromosomes are directly listed in the new population, and the fitness value of the chromosomes is updated and improved by carrying out cross optimization of the chromosome populations.
Further, the obtained teaching target courses are subjected to exchange comparison of multiple relevant influence indexes, result evaluation is further performed, comparison and analysis are further performed on the evaluation results, whether the evaluation results are improved or not is judged, if the evaluation results are better than the evaluation results, the previous teaching target courses are replaced, the operation is repeated until the expected teaching target is achieved, the teaching quality is maximized, and the final teaching course arrangement is obtained.
Further, step 6 of the present application further includes: the preset termination condition is that a preset maximum evolutionary generation is reached or a preset optimal specified error requirement is reached, wherein the preset maximum evolutionary generation is determined by setting iteration data through historical sports courses, and the preset optimal specified error requirement is determined according to the teaching target.
Specifically, a termination condition is preset, the termination condition refers to a condition for terminating the optimization updating operation, the maximum evolution iteration number is set based on the historical sports course, the historical sports course is used as a reference for analyzing the degree to be optimized, the maximum number of times of optimization iteration to be performed is determined as the preset maximum evolution generation number, further, the teaching result of the course and the ideal error condition are determined, the error within a certain degree is set as an acceptable error, the determined acceptable error is stored as the preset optimal specified error requirement, the acquired preset maximum evolution generation number or the preset optimal specified error requirement is stored as the termination condition, and optimization updating is stopped when the termination condition is reached.
Example two
Based on the same inventive concept as a method for improving a physical education effect in the foregoing embodiment, as shown in fig. 4, the present application provides a system for improving a physical education effect, the system including:
the information acquisition module a is used for acquiring the information of the teaching object;
the quality analysis module b is used for carrying out physical quality analysis on the teaching object according to the teaching object information to obtain a teaching object physical quality information set;
the teaching content acquisition module c is used for acquiring teaching content information, and the teaching content information comprises a teaching target and teaching course arrangement;
the characteristic analysis module d is used for carrying out characteristic analysis on the teaching contents corresponding to all course stages based on the teaching course arrangement to determine a teaching arrangement characteristic information set, and the teaching arrangement characteristic information set comprises the physical consumption rate of the teaching project;
the relation determining module e is used for determining the relation of the teaching course arrangement target according to the teaching target and the teaching course arrangement;
the functional relationship building module f is used for building a target functional relationship between a physical education effect and the physical ability consumption rate of the teaching item, the teaching course arrangement target relationship and the physical quality information of the teaching object;
and the information determining module g is used for determining the optimal course arrangement information of the teaching target by utilizing a genetic algorithm based on the target function relation.
Further, the system further comprises:
the identity determination module is used for determining the identity of a teaching object according to the teaching object information, extracting historical record data of the teaching object based on the identity of the teaching object, and acquiring historical course records and physical examination records;
the characteristic acquisition module is used for extracting sports scores and course performance characteristics of the teaching object according to the historical course records to acquire the characteristics of the sports courses of the teaching object;
the index obtaining module is used for obtaining sports teaching related indexes according to the physical examination record and the characteristic analysis of preset sports related indexes;
and the information set establishing module is used for establishing the physical quality information set of the teaching object by utilizing the physical course characteristics of the teaching object, the physical teaching related indexes, the historical course records and the physical examination records.
Further, the system further comprises:
the matching relation obtaining module is used for performing matching analysis on the physical ability of the teaching object according to the physical ability consumption rate of the teaching item and the physical quality information of the teaching object to obtain the physical ability matching relation of each teaching object;
the grouping information obtaining module is used for classifying the teaching objects according to matching quantity based on the physical ability matching relation of each teaching object to obtain teaching object groups, and each teaching object group comprises the grouping information of each teaching item;
the effect relation determining module is used for analyzing the physical teaching effect relation of each teaching item and the teaching course arrangement target relation according to the grouping information of each teaching item, and determining the teaching target effect relation of each teaching item;
and the function relation construction module is used for constructing the target function relation based on the physical ability matching relation of each teaching object and the teaching target effect relation of each teaching item, wherein the target function relation is the physical ability matching relation of each teaching object plus the teaching target effect relation of each teaching item.
Further, the system further comprises:
the chromosome coding module is used for carrying out chromosome coding on each data in the teaching target, the teaching course arrangement and the teaching object physical quality information set, constructing an initialization chromosome based on the chromosome coding, and obtaining an initial population chromosome;
the chromosome evaluation module is used for evaluating the adaptive value of the initial population chromosomes through an evaluation function, determining the optimal chromosome according to the adaptive value and storing the optimal chromosome as a first chromosome;
the population generating module is used for selecting the initial population chromosomes by adopting a preset selection algorithm to generate a new population with the same scale as the initial population chromosomes;
a chromosome mating module, which is used for selecting chromosomes from the new population according to the probability setting requirement to mate, obtaining mating chromosomes and updating the new population;
an adaptive value comparison module, configured to perform adaptive value evaluation on the updated new population through an evaluation function, determine that a maximum adaptive value is compared with an adaptive value of the first chromosome, and perform optimal chromosome replacement when the adaptive value of the first chromosome is exceeded;
and the termination condition comparison module is used for repeatedly executing the steps 3-5 until a preset termination condition is met, and taking the teaching course arrangement determined by the finally determined optimal chromosome as the optimal course arrangement information of the teaching target.
Further, the system further comprises:
the fitness calculation module is used for calculating the fitness sum of the initial population by adopting a roulette selection algorithm;
the adaptive value proportion calculation module is used for respectively calculating the proportion of each chromosome adaptive value to the total population adaptive value;
a population determination module to determine the new population based on a ratio of each chromosome fitness value to a sum of population fitness values.
Further, the system further comprises:
the population screening module is used for screening the new population based on probability setting requirements and determining mating chromosome information;
and the chromosome updating module is used for carrying out random pairing and mating on the chromosome information participating in mating to generate offspring chromosomes, and carrying out chromosome updating on the new population by utilizing the offspring chromosomes, wherein the chromosomes which correspond to non-participating mating are directly copied into the new population.
Further, the system further comprises:
the termination condition determining module is used for determining whether the preset termination condition is that a preset maximum evolution generation is reached or a preset optimal specified error requirement is reached, wherein the preset maximum evolution generation is determined by setting iteration data of historical sports courses, and the preset optimal specified error requirement is determined according to the teaching target.
In the present specification, through the foregoing detailed description of a method for improving a physical education effect, it is clear to those skilled in the art that a method and a system for improving a physical education effect in the present embodiment are disclosed.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A method for enhancing physical education, the method comprising:
obtaining teaching object information;
analyzing the physical quality of the teaching object according to the information of the teaching object to obtain a physical quality information set of the teaching object;
obtaining teaching content information, wherein the teaching content information comprises a teaching target and teaching course arrangement;
based on the teaching course arrangement, performing characteristic analysis on teaching contents corresponding to each course stage to determine a teaching arrangement characteristic information set, wherein the teaching arrangement characteristic information set comprises physical consumption rate of a teaching item;
determining a teaching course arrangement target relation according to the teaching target and the teaching course arrangement;
constructing a target function relationship between a physical education effect and the physical ability consumption rate of the teaching item, the arrangement target relationship of the teaching courses and the physical quality information of the teaching object;
and determining the optimal course arrangement information of the teaching target by utilizing a genetic algorithm based on the target function relationship.
2. The method of claim 1, wherein said performing a physical quality analysis on the teaching object based on said teaching object information to obtain a teaching object physical quality information set comprises:
determining the identity of a teaching object according to the teaching object information, extracting the historical record data of the teaching object based on the identity of the teaching object, and obtaining historical course records and physical examination records;
extracting sports scores and curriculum performance characteristics of the teaching object according to the historical curriculum records to obtain the characteristics of the sports curriculum of the teaching object;
analyzing according to the physical examination record and the characteristics of preset sports related indexes to obtain sports teaching related indexes;
and establishing the physical quality information set of the teaching object by using the physical course characteristics of the teaching object, the relevant indexes of physical teaching, historical course records and physical examination records.
3. The method of claim 1, wherein constructing a target function relationship of a physical education effect to said pedagogic item physical consumption rate, said pedagogic lesson scheduling target relationship, pedagogic object physical quality information comprises:
according to the physical ability consumption rate of the teaching item and the physical quality information of the teaching object, carrying out physical ability matching analysis on the teaching object to obtain a physical ability matching relation of each teaching object;
classifying the teaching objects according to matching quantity based on the physical ability matching relation of the teaching objects to obtain teaching object groups, wherein the teaching object groups comprise the grouping information of the teaching items;
according to the grouped information of each teaching item, respectively carrying out physical teaching effect relationship analysis on the relation between each teaching item and the teaching course arrangement target, and determining the teaching target effect relation of each teaching item;
and constructing the objective function relationship based on the physical matching relationship of each teaching object and the teaching target effect relationship of each teaching item, wherein the objective function relationship is the physical matching relationship of each teaching object plus the teaching target effect relationship of each teaching item.
4. The method of claim 3, wherein determining optimal lesson planning information for teaching objectives using a genetic algorithm based on said objective functional relationship comprises:
step 1, carrying out chromosome coding on each data in the teaching target, teaching course arrangement and teaching object physical quality information set, constructing an initialization chromosome based on the chromosome coding, and obtaining an initial population chromosome;
step 2, evaluating the adaptive value of the initial population chromosome through an evaluation function, determining the optimal chromosome according to the adaptive value and storing the optimal chromosome as a first chromosome;
step 3, selecting the initial population chromosomes by adopting a preset selection algorithm to generate a new population with the same scale as the initial population chromosomes;
step 4, selecting chromosomes from the new population according to the probability setting requirement to mate, obtaining mating chromosomes and updating the new population;
step 5, evaluating the adaptation value of the updated new population through an evaluation function, determining that the maximum adaptation value is compared with the adaptation value of the first chromosome, and performing optimal chromosome replacement when the adaptation value of the first chromosome is exceeded;
and 6, repeatedly executing the steps 3-5 until a preset termination condition is met, and taking the teaching course arrangement determined by the finally determined optimal chromosome as the optimal course arrangement information of the teaching target.
5. The method of claim 4, wherein selecting the chromosomes of the initial population using a predetermined selection algorithm to generate a new population having the same size as the chromosomes of the initial population comprises:
calculating the fitness sum of the initial population by adopting a roulette selection algorithm;
respectively calculating the ratio of each chromosome fitness value to the total population fitness value;
determining the new population based on the ratio of each chromosome fitness value to the sum of population fitness values.
6. The method of claim 4, wherein selecting chromosomes from the new population for mating according to a probability setting requirement, obtaining mating chromosomes to update the new population, comprises:
screening the new population based on probability setting requirements, and determining mating chromosome information;
and randomly pairing and mating the mating chromosome information to generate a progeny chromosome, and performing chromosome updating on the new population by using the progeny chromosome, wherein the corresponding mating chromosome which does not participate is directly copied into the new population.
7. The method of claim 4, wherein the predetermined termination condition is reaching a predetermined maximum evolution generation determined by iteration data set for historical sports lessons or reaching a predetermined optimal error requirement determined according to the teaching objective.
8. A system for enhancing the effectiveness of physical education, the system comprising:
the information acquisition module is used for acquiring the information of the teaching object;
the quality analysis module is used for carrying out physical quality analysis on the teaching object according to the teaching object information to obtain a teaching object physical quality information set;
the teaching content acquisition module is used for acquiring teaching content information, and the teaching content information comprises a teaching target and teaching course arrangement;
the characteristic analysis module is used for carrying out characteristic analysis on the teaching contents corresponding to all course stages based on the teaching course arrangement to determine a teaching arrangement characteristic information set, and the teaching arrangement characteristic information set comprises the physical consumption rate of a teaching project;
the relation determining module is used for determining the relation of the teaching course arrangement target according to the teaching target and the teaching course arrangement;
the functional relation construction module is used for constructing a target functional relation between a physical education effect and the physical ability consumption rate of the teaching item, the teaching course arrangement target relation and the physical quality information of the teaching object;
and the information determining module is used for determining the optimal course arrangement information of the teaching target by utilizing a genetic algorithm based on the target function relation.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116993551A (en) * | 2023-09-26 | 2023-11-03 | 广州天源信息科技股份有限公司 | Labor education course management method and system |
| CN117236729A (en) * | 2023-03-21 | 2023-12-15 | 江苏蔚来智慧科技有限公司 | Intelligent sports-based procedural comprehensive evaluation method and system |
| CN117390401A (en) * | 2023-12-05 | 2024-01-12 | 云南与同加科技有限公司 | Campus sports digital management system and method based on cloud platform |
| CN117437100A (en) * | 2023-12-21 | 2024-01-23 | 西安优学电子信息技术有限公司 | Micro-class practical training management system based on digital teaching |
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2022
- 2022-07-12 CN CN202210816977.5A patent/CN115131183A/en not_active Withdrawn
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117236729A (en) * | 2023-03-21 | 2023-12-15 | 江苏蔚来智慧科技有限公司 | Intelligent sports-based procedural comprehensive evaluation method and system |
| CN117236729B (en) * | 2023-03-21 | 2024-04-09 | 江苏蔚来智慧科技有限公司 | Intelligent sports-based procedural comprehensive evaluation method and system |
| CN116993551A (en) * | 2023-09-26 | 2023-11-03 | 广州天源信息科技股份有限公司 | Labor education course management method and system |
| CN116993551B (en) * | 2023-09-26 | 2023-12-29 | 广州天源信息科技股份有限公司 | Labor education course management method and system |
| CN117390401A (en) * | 2023-12-05 | 2024-01-12 | 云南与同加科技有限公司 | Campus sports digital management system and method based on cloud platform |
| CN117390401B (en) * | 2023-12-05 | 2024-02-13 | 云南与同加科技有限公司 | Campus sports digital management system and method based on cloud platform |
| CN117437100A (en) * | 2023-12-21 | 2024-01-23 | 西安优学电子信息技术有限公司 | Micro-class practical training management system based on digital teaching |
| CN117437100B (en) * | 2023-12-21 | 2024-04-19 | 西安优学电子信息技术有限公司 | Micro-class practical training management system based on digital teaching |
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