CN114330896A - Teaching characteristic optimization method - Google Patents
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Abstract
The invention relates to a teaching characteristic optimization method, which comprises the following steps: obtaining an optimization request; acquiring evaluation information and actual record information according to the optimization request; acquiring standard interval information according to the real recording item ID, and determining real recording interval information corresponding to the real recording data according to the standard interval information and the real recording data; acquiring corresponding characteristic information according to the real record item ID, and determining real record grading data corresponding to the characteristic information according to the real record interval information; comparing the scoring data with the actual record scoring data, and determining first teaching characteristic information according to a comparison result; and analyzing and processing according to the grading data, the actual record grading data and the first teaching characteristic information to determine first optimization information. The teaching characteristic optimization method of the invention contrasts and analyzes the teaching characteristics obtained from different angle evaluations to obtain the teaching optimization scheme aiming at different objects, thereby improving the teaching mode and improving the teaching quality.
Description
Technical Field
The invention relates to the technical field of information, in particular to a teaching characteristic optimization method.
Background
The efficient and scientific teaching evaluation is beneficial to smoothly realizing the classroom teaching target, feeds back the most real teaching information to the teacher, and timely makes corresponding adjustment on the teaching mode, thereby improving the overall classroom teaching level.
The current teaching evaluation mainly comes from education departments and school leader, and the two most important roles in teaching are neglected, so that teachers and students are difficult to truly and comprehensively measure the teaching effect under the influence of the single classroom teaching evaluation and the teaching effect is improved.
Disclosure of Invention
The invention aims to provide a teaching characteristic optimization method aiming at the defects of the prior art, which is used for carrying out comparative analysis on teaching characteristics obtained from different angle evaluations to obtain teaching optimization schemes aiming at different objects, thereby improving the teaching mode and improving the teaching quality.
In order to achieve the above object, the present invention provides a teaching feature optimization method, including:
obtaining an optimization request; the optimization request includes: a class ID;
acquiring evaluation information and actual record information according to the optimization request; the evaluation information comprises: class ID, feature information and rating data; the record information includes: the class ID, the real recording item ID and the real recording data;
acquiring standard interval information according to the real recording item ID, and determining real recording interval information corresponding to real recording data according to the standard interval information and the real recording data;
acquiring corresponding characteristic information according to the recording project ID, and determining recording grading data corresponding to the characteristic information according to the recording interval information;
comparing the scoring data with the actual record scoring data, and determining first teaching characteristic information according to a comparison result;
and analyzing and processing according to the grading data, the actual record grading data and the first teaching characteristic information to determine first optimization information.
Preferably, questionnaire information is acquired according to the optimization request; the questionnaire information includes: class ID, user ID, questionnaire item ID and option ID;
acquiring corresponding characteristic information according to the questionnaire item ID, and determining questionnaire grading data corresponding to the characteristic information according to the option information;
comparing the questionnaire rating data with the record rating data, and determining second teaching characteristic information according to the comparison result;
and analyzing and processing according to the questionnaire rating data, the record rating data and the second teaching characteristic information, and determining second optimization information.
Further preferably, the scoring data and the questionnaire scoring data are compared, and third teaching characteristic information is determined according to a comparison result;
and analyzing and processing according to the grading data, the questionnaire grading data and the third teaching characteristic information to determine third optimization information.
Further preferably, the optimization report information is generated according to the first optimization information, the second optimization information and the third optimization information.
Preferably, the grading data of each class are compared according to the characteristic information, and the whole teaching condition information is determined according to the comparison result.
Preferably, after the obtaining of the evaluation information and the bibliographic information according to the optimization request, the teaching characteristic optimization method further includes:
determining an interval value according to the highest evaluation data and the lowest evaluation data, and generating chart information according to the interval value and the evaluation information.
The teaching characteristic optimization method provided by the embodiment of the invention carries out comparative analysis on the teaching characteristics obtained from different angle evaluations to obtain the teaching optimization scheme aiming at different objects, thereby improving the teaching mode and improving the teaching quality.
Drawings
FIG. 1 is a flow chart of a teaching feature optimization method provided by an embodiment of the present invention;
fig. 2 is a schematic diagram of feature information provided in an embodiment of the present invention.
Detailed Description
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
The teaching characteristic optimization method provided by the invention carries out comparative analysis on the teaching characteristics obtained from different angle evaluations to obtain a teaching optimization scheme aiming at different objects, thereby improving the teaching mode and improving the teaching quality.
Example one
Fig. 1 is a flowchart of a teaching characteristic optimization method provided in an embodiment of the present invention, and the following detailed description is provided on a technical solution of the present invention with reference to fig. 1.
specifically, the optimization request includes: the class ID. In the embodiment of the present invention, the optimization request may include one class ID or may include a plurality of class IDs at the same time.
In a preferred embodiment, the optimization request further comprises: the user ID. It is determined whether the user has the right according to the user ID. Only if the user has the right, the next step can be taken. And when the user does not have the authority, generating the no-authority prompt information and outputting and displaying the no-authority prompt information.
specifically, the evaluation information includes: class ID, feature information, and rating data. The actual recording information comprises: a class ID, a real-record item ID, and real-record data. The evaluation information can be understood as evaluation comprehensive information according to evaluation objects in each class, and is used for indicating the teaching condition of the class. The feature information refers to information representing teaching effects of various angles, fig. 2 is a schematic diagram of the feature information provided in the embodiment of the present invention, and as shown in fig. 2, the feature information refers to understanding ability, experimental ability, knowledge application ability, and reasoning ability. Each feature information has a unique corresponding score data. The scoring data may be an average or median of the scoring data according to each object within the class. The actual recorded information refers to teaching data records actually in classroom teaching, such as: the teacher adopts a mode of concentrating the attention of the students, and the teacher adopts a mode of authority, pause, teaching strategy, individual reminding mode and the like.
In a preferred scheme, after the evaluation information and the actual record information are acquired according to the optimization request, an interval value is determined according to the highest evaluation data and the lowest evaluation data, and chart information is generated according to the interval value and the evaluation information. As shown in fig. 2, the highest score was 68.24, the lowest score was 49.78, and the interval was 5. The purpose of determining the interval value is mainly to make the generated chart more convenient to view, and the effect of presenting the chart information is influenced by too large or too small interval value.
specifically, the standard section information includes a plurality of pieces of real recording section information, and the real recording section information is determined based on the standard section information in which the real recording data is located.
Step 104, acquiring corresponding characteristic information according to the real recording item ID, and determining real recording grading data corresponding to the characteristic information according to the real recording interval information;
specifically, each record item ID has corresponding characteristic information, and each record interval information has corresponding record score data.
In a preferred embodiment, each of the real recording item IDs corresponds to a plurality of pieces of feature information, but the ratio of different pieces of feature information corresponding to the same real recording item ID is different. And determining the record grading data of each characteristic information according to the score data and the proportion corresponding to the record interval information. And classifying, summarizing and summing the record grading data of the record project information according to the characteristic information to obtain the record grading data of the characteristic information.
Step 105, comparing the scoring data with the actual record scoring data, and determining first teaching characteristic information according to the comparison result;
specifically, when the score data is greater than or equal to the actual record score data, the actual teaching effect is superior to the actual teaching mode.
And when the score data is smaller than the actual record score data, the actual teaching effect is inferior to the actual teaching mode, and the corresponding characteristic information is determined to be the first teaching characteristic information.
And 106, analyzing and processing according to the grading data, the actual record grading data and the first teaching characteristic information, and determining first optimization information.
Specifically, a deviation value is calculated according to the scoring data and the actual record scoring data, corresponding reason information is determined according to the first teaching characteristic information, an analysis report is generated according to the deviation value and the reason information, all factors and influence degrees influencing the teaching effect are determined, and the improvement method is determined based on the factors and the influence degrees.
Example two
Step 201, obtaining questionnaire information according to an optimization request;
specifically, the questionnaire information includes: class ID, user ID, questionnaire item ID, and option ID. The user here refers to a teacher who performs the filling out of the questionnaire.
Step 202, acquiring corresponding characteristic information according to the questionnaire item ID, and determining questionnaire grading data corresponding to the characteristic information according to the option information;
specifically, each questionnaire item ID has a corresponding piece of characteristic information, and each item information has a corresponding piece of questionnaire rating data.
In a preferred embodiment, each questionnaire item ID corresponds to a plurality of pieces of feature information, but the proportion of different pieces of feature information corresponding to the same item information is different. And determining the questionnaire grading data of each characteristic information according to the score data and the percentage corresponding to the option information. And classifying, summarizing and summing the questionnaire rating data of each option information according to the characteristic information to obtain the questionnaire rating data of each characteristic information.
Step 203, comparing the questionnaire rating data with the record rating data, and determining second teaching characteristic information according to the comparison result;
specifically, when the questionnaire score data is greater than or equal to the actual record score data, it is indicated that the teacher has an ideal teaching mode and actually has access, the actual teaching mode does not conform to the plan, and the corresponding feature information is determined to be the second teaching feature information.
And when the questionnaire scoring data is smaller than the actual record scoring data, the ideal teaching mode of the teacher is consistent with the actual teaching mode.
And 204, analyzing and processing according to the questionnaire rating data, the record rating data and the second teaching characteristic information, and determining second optimization information.
Specifically, a deviation value is calculated according to questionnaire grading data and actual record grading data, corresponding reason information is determined according to the second teaching characteristic information, an analysis report is generated according to the deviation value and the reason information, a teacher mode and an influence degree influencing the teaching effect are determined, and an improvement method is determined based on the analysis report.
In a preferred scheme, the second optimization information is sent to the user terminal according to the user ID.
EXAMPLE III
Step 301, comparing the scoring data with the questionnaire scoring data, and determining third teaching characteristic information according to the comparison result;
specifically, when the score data is greater than or equal to the questionnaire score data, the actual teaching effect is superior to the effect of the ideal teaching mode of the teacher.
And when the grading data is smaller than the questionnaire grading data, the practical teaching effect is inferior to the ideal teaching effect of the teacher, and the corresponding characteristic information is determined to be second teaching characteristic information.
And step 302, analyzing and processing according to the scoring data, the questionnaire scoring data and the third teaching characteristic information, and determining third optimization information.
Specifically, a deviation value is calculated according to questionnaire grading data and grading data, corresponding reason information is determined according to the third teaching characteristic information, an analysis report is generated according to the deviation value and the reason information, a teacher mode and an influence degree influencing a teaching effect are determined, and an improvement method is determined based on the teacher mode and the influence degree.
In the preferred scheme, the reason is not accurately found only according to the ideal teaching effect and the actual teaching effect of the teacher, and on the basis of the second time, the scoring data and the actual scoring data are compared and analyzed again so as to stand for the reason influencing the teaching effect and optimize the reason.
In a preferred embodiment, the optimization report information is generated according to the first optimization information, the second optimization information and the third optimization information.
In another preferred scheme, the grading data of all classes are compared according to the characteristic information, and the overall teaching condition information is determined according to the comparison result. And summarizing comparison results of all characteristics of all classes, and judging the conditions of the classes and the differences among the classes according to the number of the comparison results.
The teaching characteristic optimization method of the invention contrasts and analyzes the teaching characteristics obtained from different angle evaluations to obtain the teaching optimization scheme aiming at different objects, thereby improving the teaching mode and improving the teaching quality.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (6)
1. A teaching feature optimization method is characterized by comprising the following steps:
obtaining an optimization request; the optimization request includes: a class ID;
acquiring evaluation information and actual record information according to the optimization request; the evaluation information comprises: class ID, feature information and rating data; the record information includes: the class ID, the real recording item ID and the real recording data;
acquiring standard interval information according to the real recording item ID, and determining real recording interval information corresponding to real recording data according to the standard interval information and the real recording data;
acquiring corresponding characteristic information according to the recording project ID, and determining recording grading data corresponding to the characteristic information according to the recording interval information;
comparing the scoring data with the actual record scoring data, and determining first teaching characteristic information according to a comparison result;
and analyzing and processing according to the grading data, the actual record grading data and the first teaching characteristic information to determine first optimization information.
2. The teach feature optimization method of claim 1 further comprising:
obtaining questionnaire information according to the optimization request; the questionnaire information includes: class ID, user ID, questionnaire item ID and option ID;
acquiring corresponding characteristic information according to the questionnaire item ID, and determining questionnaire grading data corresponding to the characteristic information according to the option information;
comparing the questionnaire rating data with the record rating data, and determining second teaching characteristic information according to the comparison result;
and analyzing and processing according to the questionnaire rating data, the record rating data and the second teaching characteristic information, and determining second optimization information.
3. The teach feature optimization method of claim 2, further comprising:
comparing the scoring data with the questionnaire scoring data, and determining third teaching characteristic information according to a comparison result;
and analyzing and processing according to the grading data, the questionnaire grading data and the third teaching characteristic information to determine third optimization information.
4. The teach feature optimization method of claim 3, further comprising:
and generating optimized report information according to the first optimized information, the second optimized information and the third optimized information.
5. The teach feature optimization method of claim 1 further comprising:
and comparing the grading data of each class according to the characteristic information, and determining the whole teaching condition information according to the comparison result.
6. The pedagogical feature optimization method of claim 1, wherein after the obtaining of the evaluation information and the bibliographic information according to the optimization request, the pedagogical feature optimization method further comprises:
determining an interval value according to the highest evaluation data and the lowest evaluation data, and generating chart information according to the interval value and the evaluation information.
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