CN111784184A - Teaching quality analysis method and device and electronic equipment - Google Patents
Teaching quality analysis method and device and electronic equipment Download PDFInfo
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Abstract
The invention provides a teaching quality analysis method, a teaching quality analysis device and electronic equipment, wherein the method comprises the following steps: determining sample teaching data and corresponding report continuation rates of a plurality of sample teachers; respectively carrying out statistical processing on the sample teaching data, and determining the characteristic value of the characteristics of the number of people to be determined; respectively taking the rate of continuing to report of the sample teacher and the characteristic value of each undetermined person number characteristic as a data pair to carry out regression analysis, determining the fitting degree, and taking the undetermined person number characteristic with the highest fitting degree as an effective person number characteristic; and analyzing the teaching quality of the target teacher according to the characteristic value of the effective number of the target teacher. By the aid of the method and the device for analyzing the teaching quality and the electronic equipment, the effective people number characteristics with high fitting degree are selected from the characteristics of the multiple undetermined people numbers based on the fitting degree of regression analysis, and when the teaching quality of other teachers is analyzed, analysis and evaluation can be performed more accurately, so that more accurate teaching quality analysis results are generated.
Description
Technical Field
The invention relates to the technical field of online education, in particular to a teaching quality analysis method and device, electronic equipment and a computer-readable storage medium.
Background
With the development of online education, a lecturer can give lessons through a network; meanwhile, the lecturer needs to know the satisfaction degree of the student on the teaching condition so as to realize the evaluation on the teaching quality and facilitate the lecturer to improve the teaching quality. There are some indexes for evaluating the satisfaction degree of students, such as the number of people in class, the number of people off line, the rate of reporting again, etc., and the satisfaction degree of students can also be determined by the form of questionnaire. At present, the traditional scheme is to select one or more indexes by experience to evaluate the teaching quality of a lecturer.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the existing scheme:
the traditional scheme only selects indexes for analysis according to experience, and cannot ensure that the indexes can effectively express the teaching quality of a teacher; and the traditional index can only be evaluated integrally, and the instructor cannot be accurately positioned to the problematic place.
Disclosure of Invention
In order to solve the existing technical problem, embodiments of the present invention provide a method and an apparatus for analyzing teaching quality, an electronic device, and a computer-readable storage medium.
In a first aspect, an embodiment of the present invention provides a method for analyzing teaching quality, including:
determining sample teaching data and corresponding report continuation rates of a plurality of sample teachers, wherein the sample teaching data comprises sample sub-teaching data of a plurality of preset time periods, and the sample sub-teaching data is data related to the number of students;
respectively carrying out statistical processing on the sample teaching data, and determining corresponding characteristic values of the characteristics of a plurality of undetermined persons of each sample teacher;
respectively taking the rate of the sample teacher continuing to report and the characteristic value of each undetermined people number characteristic as a data pair, respectively carrying out regression analysis on a plurality of data pairs corresponding to the same undetermined people number characteristic, determining the fitting degree of the undetermined people number characteristic, and taking one or more undetermined people number characteristics with the highest fitting degree as effective people number characteristics;
the method comprises the steps of obtaining teaching data of a target teacher, determining a characteristic value of the number of effective people of the target teacher according to the teaching data of the target teacher, and analyzing the teaching quality of the target teacher according to the characteristic value of the number of effective people.
In a second aspect, an embodiment of the present invention further provides an apparatus for analyzing teaching quality, including:
the system comprises a sample module, a report generation module and a report sending module, wherein the sample module is used for determining sample teaching data of a plurality of sample teachers and corresponding report continuation rates, the sample teaching data comprise sample sub-teaching data of a plurality of preset time periods, and the sample sub-teaching data are data related to the number of students;
the statistical module is used for respectively carrying out statistical processing on the sample teaching data and determining corresponding characteristic values of the characteristics of a plurality of undetermined persons of each sample teacher;
the processing module is used for respectively taking the rate of continuing to report of the sample teacher and the characteristic value of each characteristic of the number of people to be determined as a data pair, respectively carrying out regression analysis on a plurality of data pairs corresponding to the same characteristic of the number of people to be determined, determining the fitting degree of the characteristic of the number of people to be determined, and taking one or more characteristics of the number of people to be determined with the highest fitting degree as effective characteristics of the number of people;
the analysis module is used for acquiring teaching data of a target teacher, determining the characteristic value of the number of effective persons of the target teacher according to the teaching data of the target teacher, and analyzing the teaching quality of the target teacher according to the characteristic value of the number of effective persons.
In a third aspect, an embodiment of the present invention provides an electronic device, which includes a bus, a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor, where the transceiver, the memory, and the processor are connected via the bus, and when the computer program is executed by the processor, the method for analyzing teaching quality as described in any one of the above is implemented.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps in the teaching quality analysis method described in any one of the above.
According to the method and the device for analyzing the teaching quality, provided by the embodiment of the invention, a plurality of characteristics of the number of people to be determined are predetermined, then statistical processing is carried out on the basis of sample teaching data and the report continuation rate of a plurality of sample teachers, so that a plurality of data pairs taking the same characteristics of the number of people to be determined as a group are determined, then regression analysis is carried out on the reorganized data pairs, and therefore, effective people number characteristics with higher fitting degree can be selected from the characteristics of the number of people to be determined on the basis of the fitting degree of the regression analysis; the higher the fitting degree is, the more relevant the undetermined number characteristic and the report continuation rate are, so that the more accurate analysis and evaluation can be performed when the teaching quality of other teachers is analyzed based on the undetermined number characteristic subsequently, a more accurate teaching quality analysis result is generated, the problems in the teaching process can be conveniently improved by the teachers, the teaching quality is improved, and the report continuation rate of students can also be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or the background art of the present invention, the drawings required to be used in the embodiments or the background art of the present invention will be described below.
FIG. 1 is a flow chart illustrating a method for analyzing instructional quality provided by an embodiment of the present invention;
FIG. 2 is a schematic diagram of a linear regression analysis in the teaching quality analysis method provided by the embodiment of the present invention;
fig. 3 is a schematic diagram illustrating teaching data collected during real-time teaching quality analysis in the teaching quality analysis method according to the embodiment of the present invention;
FIG. 4 is a schematic diagram of an analysis apparatus for teaching quality provided by an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device for performing an analysis method of teaching quality according to an embodiment of the present invention.
Detailed Description
In the description of the embodiments of the present invention, it should be apparent to those skilled in the art that the embodiments of the present invention can be embodied as methods, apparatuses, electronic devices, and computer-readable storage media. Thus, embodiments of the invention may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), a combination of hardware and software. Furthermore, in some embodiments, embodiments of the invention may also be embodied in the form of a computer program product in one or more computer-readable storage media having computer program code embodied in the medium.
The computer-readable storage media described above may take any combination of one or more computer-readable storage media. The computer-readable storage medium includes: an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer-readable storage medium include: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only Memory (ROM), an erasable programmable read-only Memory (EPROM), a Flash Memory, an optical fiber, a compact disc read-only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any combination thereof. In embodiments of the invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, device, or apparatus.
The computer program code embodied on the computer readable storage medium may be transmitted using any appropriate medium, including: wireless, wire, fiber optic cable, Radio Frequency (RF), or any suitable combination thereof.
Computer program code for carrying out operations for embodiments of the present invention may be written in assembly instructions, Instruction Set Architecture (ISA) instructions, machine related instructions, microcode, firmware instructions, state setting data, integrated circuit configuration data, or in one or more programming languages, including an object oriented programming language, such as: java, Smalltalk, C + +, and also include conventional procedural programming languages, such as: c or a similar programming language. The computer program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be over any of a variety of networks, including: a Local Area Network (LAN) or a Wide Area Network (WAN), which may be connected to the user's computer, may be connected to an external computer.
The method, the device and the electronic equipment are described through the flow chart and/or the block diagram.
It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions. These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing apparatus to function in a particular manner. Thus, the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
The embodiments of the present invention will be described below with reference to the drawings.
Fig. 1 shows a flowchart of an analysis method for teaching quality according to an embodiment of the present invention. As shown in fig. 1, the method includes:
step 101: and determining sample teaching data and corresponding report continuation rates of a plurality of sample teachers, wherein the sample teaching data comprises sample sub-teaching data of a plurality of preset time periods, and the sample sub-teaching data is data related to the number of students.
In the embodiment of the invention, when the teaching quality of a certain teacher needs to be analyzed, firstly, which index or indexes are used for analysis is determined, and in the embodiment, the indexes used in the analysis are determined based on the teaching data before the teacher. Specifically, a plurality of teachers are selected as sample teachers, and teaching data of each sample teacher, namely sample teaching data, is obtained; meanwhile, each sample teacher corresponds to the parameter of the continuous report rate. In this embodiment, if the quality of the course taught by a certain teacher is better, the student may continue to register the course of the teacher, i.e. continue to report; the corresponding rate of continuous reporting refers to the ratio of the number of continuous reporting people to the number of people on duty. Wherein, the number of the students in the class refers to the total number of the students in the class given by the teacher. For example, a teacher teaches course a, and there are 100 students learning course a, that is, the number of people in the course is 100; and then the teacher opens the course B, if 80 students in 100 students of the learning course A continuously register the learning course B, the number of the continuous reports is 80, and the continuous report rate is 80%.
In the embodiment, the sample teaching data is data generated by a sample teacher in the teaching process; in the scenes of live teaching and the like, the sample teaching data are data generated by a sample teacher in the process of live teaching, and the sample teaching data are data related to the number of students, and specifically can include the number of people in class, the number of people on line at each time point, the number of people off line and the like. Meanwhile, because the sample teaching data can relate to a longer time period, such as a lesson or the whole subject, the sample teaching data is subdivided according to the preset time period in the embodiment, so that the sample teaching data comprises a plurality of sample sub-teaching data, and each sample sub-teaching data corresponds to the corresponding preset time period; accordingly, each sample sub-teaching data is also data related to the number of students. For example, the preset time period may be 1 minute, at this time, the sample teaching data may be subdivided according to the minute level, and the number of students related in each minute is determined, so that the analysis index at the minute level may be determined subsequently, and then real-time analysis is implemented.
Step 102: and respectively carrying out statistical processing on the sample teaching data, and determining corresponding characteristic values of the characteristics of a plurality of undetermined persons of each sample teacher.
In the embodiment of the invention, the characteristics which are to be determined and are related to the number of students, namely the characteristics of the number of the to-be-determined students are preset, and the characteristics of the number of the to-be-determined students can be used for the subsequent analysis process. Since the number of people in class is different for different sample teacher courses, there is a problem that the number of students is not uniform if the number of people is directly compared. For example, the characteristics of the number of pending persons may be: the ratio of the number of online people to the number of people on duty at the first time point, the ratio of the number of offline people to the number of people on duty at the second time point, the ratio of the maximum number of online people to the number of people on duty at the first time point, the ratio of the maximum number of offline people to the number of people on duty at the second time point, or the ratio of the maximum number of leaving people to the number of people on duty at a preset time period at the third time point. The first time point and the second time point may be the same or different, and the number may be one or more; the first time period, the second time period and the third time period are similar to each other, and are not described herein again.
In the embodiment of the invention, because a plurality of characteristics of the number of undetermined persons can be predetermined, after the statistical processing in the step 102, the characteristic value of each characteristic of the number of undetermined persons corresponding to the sample teaching data can be determined; the characteristic value refers to a specific numerical value of the characteristics of the number of people to be determined. The characteristic values of the characteristics of the plurality of undetermined persons corresponding to each sample teaching data can be determined by the same method.
Step 103: and respectively taking the rate of the continuous newspaper of the sample teacher and the characteristic value of each undetermined person number characteristic as a data pair, respectively carrying out regression analysis on a plurality of data pairs corresponding to the same undetermined person number characteristic, determining the fitting degree of the undetermined person number characteristic, and taking one or more undetermined person number characteristics with the highest fitting degree as effective person number characteristics.
In the embodiment of the invention, in general, the sample teachers correspond to a continuous report rate, and as described above, after statistical processing, the characteristic values of the characteristics of a plurality of undetermined persons corresponding to each sample teacher can be determined; thus, the feature values based on the follow-up rate and the features of each pending person number can be combined to form a plurality of data pairs, the number of which corresponds to the number of feature values of the features of the pending person number. For example, if three characteristics of the number of people to be determined are preset, the rate of the next newspaper for a teacher is a, and the characteristic values of the three characteristics of the number of people to be determined are b1, b2, and b3, three data pairs [ a, b1], [ a, b2], [ a, b3] can be formed.
In this embodiment, each data pair may represent a relationship between one follow-up rate and one undetermined number feature, and after all the data pairs are determined, all the data pairs are grouped by using the undetermined number feature as a uniform parameter, that is, a plurality of data pairs corresponding to the same undetermined number feature are taken as a group, and regression analysis is performed, so that the relationship between the undetermined number feature and the follow-up rate can be integrally determined. According to the principle of regression analysis, the fitting degree of regression analysis indicates the fitting degree between the regression line determined by regression analysis and the observation value (i.e. the data pair in the embodiment), the higher the fitting degree is, the more the characteristic of the undetermined person is related to the report continuation rate, and the more easily the correct analysis result is obtained when the teaching quality of the teacher is analyzed based on the characteristic of the undetermined person. Therefore, in the embodiment, the one or more undetermined people number features with the highest fitting degree are used as the effective people number features, and then follow-up analysis is performed based on the effective people number features, so that the teaching quality can be analyzed and evaluated more accurately.
Alternatively, a linear regression analysis may be used. Specifically, the step of performing regression analysis on a plurality of data pairs corresponding to the same characteristics of the number of undetermined persons and determining the fitting degree of the characteristics of the number of undetermined persons includes:
step A1: and respectively carrying out linear regression analysis on a plurality of data pairs corresponding to the same characteristics of the number of people to be determined.
Step A2: determining the fitting degree R corresponding to the characteristics of the number of people to be determined2And R is2SSR denotes the Sum of Squares of Regression (to Regression), SST denotes the Sum of Squares (also known as TSS).
In the embodiment of the invention, a plurality of data pairs corresponding to the characteristics of the number of people to be determined are used as observed quantities to perform linear regression analysis, so that the linear relation between the characteristics of the number of people to be determined and the rate of continuing to report can be determined. In this embodiment, the goodness of fit R is used2Representing the degree of fit of the characteristics of the number of persons to be determined, and R2Is the ratio of the regression sum of squares to the total sum of squares. The degree of fit R2The maximum value of (a) is 1, the closer it is to 1 (or the greater the degree of fitting), the better the degree of fitting of the regression line to the observed value is; otherwise, R2The smaller the value of (a) is, the worse the fitting degree of the regression line to the observed value is. In this embodiment, a regression line between the characteristics of the undetermined number of people and the rate of resuming the newspaper is determined based on linear regression analysis, so that whether the characteristics of the undetermined number of people and the rate of resuming the newspaper have a linear correlation can be determined more accurately, and the characteristics of the undetermined number of people having the linear correlation are selected as the effective characteristics of the number of people; in addition, the linear regression analysis is simpler than other analysis modes, and the analysis efficiency is higher.
Step 104: the method comprises the steps of obtaining teaching data of a target teacher, determining the characteristic value of the number of effective people of the target teacher according to the teaching data of the target teacher, and analyzing the teaching quality of the target teacher according to the characteristic value of the number of effective people.
In the embodiment of the invention, after the characteristics of the number of effective persons are determined, when the teaching quality of some other teacher needs to be analyzed, the teacher is taken as a target teacher, and the teaching data of the target teacher is determined, wherein the teaching data of the target teacher can be the teaching data of the whole subject or the teaching data of a single section acquired in real time. The feature value of the feature of the number of effective persons can be determined by performing statistical analysis and the like on the teaching data of the target teacher, so that the feature value of the feature of the number of effective persons can accurately and effectively predict the report continuation situation of students, and the higher the general teaching quality is, the higher the report continuation rate is, so that the feature value of the feature of the number of effective persons can be used for analyzing and evaluating the teaching quality of the target teacher.
It will be understood by those skilled in the art that the above steps 101 to 103 are aimed at determining the feature of the number of effective persons, and after determining the feature of the number of effective persons, whenever the teaching quality of a certain teacher needs to be analyzed, the analysis process may be performed directly based on the feature of the number of effective persons, and the above steps 101 to 103 need not be repeated.
The embodiment of the invention provides a method for analyzing teaching quality, which comprises the steps of predetermining a plurality of characteristics of the number of undetermined persons, then carrying out statistical processing on sample teaching data and a report continuation rate based on a plurality of sample teachers, thereby determining a plurality of data pairs taking the same characteristics of the number of undetermined persons as a group, and then carrying out regression analysis on the reorganized data pairs, thereby selecting effective characteristics of the number of persons with higher fitting degree from the characteristics of the number of undetermined persons based on the fitting degree of the regression analysis; the higher the fitting degree is, the more relevant the undetermined number characteristic and the report continuation rate are, so that the more accurate analysis and evaluation can be performed when the teaching quality of other teachers is analyzed based on the undetermined number characteristic subsequently, a more accurate teaching quality analysis result is generated, the problems in the teaching process can be conveniently improved by the teachers, the teaching quality is improved, and the report continuation rate of students can also be improved.
On the basis of the above embodiment, the step 101 of "determining sample teaching data of a plurality of sample teachers" includes:
step B1: the method comprises the steps of obtaining teaching data of a sample teacher preset subject, wherein the teaching data of the preset subject comprises a plurality of sections of teaching data.
Step B2: dividing each section of teaching data into a plurality of sample sub-teaching data according to a preset time period, and generating sample teaching data based on all sample sub-teaching data of a sample teacher.
In the embodiment of the present invention, a teacher can teach a subject, the subject can be divided into multiple sections of courses, and in order to reduce errors caused by a single section of course, in this embodiment, the teaching data of the whole subject is used as sample teaching data, and the sample teaching data includes teaching data of multiple sections of courses, that is, multiple sections of teaching data. The preset subject is a subject taught by the sample teacher, and different sample teachers can adopt the same preset subject or different preset subjects; in order to avoid influence of other factors, it is preferable that the preset subjects corresponding to the teachers of different samples are the same. After the sample teaching data is determined, the teaching data of each course (i.e., each section of teaching data) can be divided, so as to determine a plurality of sample sub-teaching data.
Optionally, the step 102 "respectively perform statistical processing on the sample teaching data, and determining corresponding feature values of the features of the number of people to be determined of each sample teacher" includes: and carrying out statistical processing on the sample teaching data by taking the subject as a dimension, and determining corresponding characteristic values of the characteristics of a plurality of undetermined persons of the sample teacher under the corresponding subject dimension.
In the embodiment of the invention, for the same sample teacher, the teacher may teach multiple subjects, in the embodiment, the subjects are taken as dimensions for statistical processing, that is, teaching data in the same subject are taken as a group for statistical processing, and then characteristic values of the corresponding characteristics of the number of persons to be determined are determined. In addition, in order to perform teaching quality analysis in real time and in a fine manner, the characteristics of the number of undetermined persons adopted in this embodiment are more refined characteristics, for example, a ratio of the number of online persons to the number of on-duty persons at a first time point, a ratio of the maximum number of leaving persons to the number of on-duty persons within a preset time period of a third time period, and the like, where the first time point, the third time period, and the like are for a single lesson, the characteristics of the number of undetermined persons corresponding to each piece of teaching data may be determined at this time, and then an average value thereof is taken as the characteristics of the number of undetermined persons in the sample teaching data as a.
Optionally, the step 104 of analyzing the teaching quality of the target teacher according to the feature value of the feature of the number of effective persons includes: and determining the characteristic value of the characteristic of the number of effective people in real time, and generating a reminding message in real time when the characteristic value of the characteristic of the number of effective people is abnormal.
In the embodiment of the invention, the feature of the number of effective persons is the feature related to the number of students, and the feature value of the feature of the number of effective persons can be determined in real time under the general condition; for example, if the feature of the number of valid people is the ratio of the maximum number of online people to the number of people on duty in the first time period, the maximum number of online people that can be determined at the current time point can be determined in real time, and then the ratio of the maximum number of online people to the number of people on duty can be determined, that is, the feature value of the feature of the number of valid people can be determined in real time. If the characteristic value of the feature of the number of the effective persons is normal, the teaching quality of the target teacher is free from problems; if the abnormal situation exists, the problem that the teaching quality of the target teacher possibly has a problem can be determined in real time, the problem easily causes the reduction of the report continuing rate, so that the target teacher can be positioned to the time point of the problem in real time, and then the teaching operation can be adjusted in time, and the teaching quality is improved.
The flow of the teaching quality analysis method is described in detail below by an embodiment. In this embodiment, three characteristics of the number of undetermined persons are predetermined, which are: the ratio of the number of online people in class for one hour to the number of people on class (i.e. the first time point is 1 hour), the ratio of the maximum number of online people in class for half an hour to the number of people on class (i.e. the first time period is half an hour to the end of class), and the ratio of the maximum number of leaving people in class for 30 minutes to 90 minutes to the number of people on class (i.e. the third time period is 30 minutes to 90 minutes to the end of class). Meanwhile, in the embodiment, the sample teaching data is grouped by the learning segment (such as primary school/junior middle school/high school) and the comparison in the learning segment is performed. In this embodiment, sample teaching data of 186 junior middle school teachers is obtained, each sample teaching data may determine feature values of the three characteristics of the number of undetermined persons, and then 186 × 3 ═ 558 data pairs are determined in total, where each characteristic of the number of undetermined persons corresponds to 186 data pairs; and performing linear regression analysis on 186 data pairs of the characteristics of each number of people to be determined, so as to determine the corresponding fitting degree. In this embodiment, a linear regression analysis of the ratio of the maximum number of persons leaving the class to the number of persons on duty within 30 minutes to 90 minutes is taken as an example.
Specifically, the intercept was determined after linear regression analysis for 186 data pairs: -1.3152, regression coefficients: 2.5151, the regression equation is-1.3152 +2.5151 x. Accordingly, the goodness of fit R2 is SSR/SST 0.5744, which can be specifically shown in fig. 2, and the abscissa in fig. 2 represents the ratio of the maximum number of departures to the number of people on duty within 30 minutes to 90 minutes of class opening, i.e., the class participation rate during 30 minutes to 90 minutes of class opening, and the ordinate represents the report continuation rate. For the remaining characteristics of the number of people to be determined, the fitting degree can be determined based on the same manner, which is not described in detail in this embodiment. As can be seen from the comparison, the fitting degree of the ratio of the maximum number of people leaving the class to the number of people on the class within 30 to 90 minutes is the greatest, so this embodiment is taken as the feature of the effective number of people.
The method comprises the steps that when a target teacher gives lessons, teaching data of the target teacher are collected in real time, wherein the teaching data can be shown in figure 3, a solid line in figure 3 represents the number of people on line, and the maximum number of people leaving the lessons is the maximum value of the number of people leaving the lessons within a certain preset time period within 30 minutes to 90 minutes; wherein, the preset time period is 1 minute, namely the maximum leaving number in 30 to 90 minutes is the maximum leaving number in a certain minute in 30 to 90 minutes. As shown in fig. 3, the number of persons leaving the classroom suddenly increases at 40 minutes, and the feature value of the feature of the number of valid persons of the target teacher suddenly increases at 40 minutes, so that the target teacher can be reminded that there is a problem in teaching quality at this time, and the target teacher can conveniently check and correct the problem in real time.
The embodiment of the invention provides a method for analyzing teaching quality, which comprises the steps of predetermining a plurality of characteristics of the number of undetermined persons, then carrying out statistical processing on sample teaching data and a report continuation rate based on a plurality of sample teachers, thereby determining a plurality of data pairs taking the same characteristics of the number of undetermined persons as a group, and then carrying out regression analysis on the reorganized data pairs, thereby selecting effective characteristics of the number of persons with higher fitting degree from the characteristics of the number of undetermined persons based on the fitting degree of the regression analysis; the higher the fitting degree is, the more relevant the undetermined number characteristic and the report continuation rate are, so that the more accurate analysis and evaluation can be performed when the teaching quality of other teachers is analyzed based on the undetermined number characteristic subsequently, a more accurate teaching quality analysis result is generated, the problems in the teaching process can be conveniently improved by the teachers, the teaching quality is improved, and the report continuation rate of students can also be improved. The sample teaching data are determined by taking the subjects as dimensions and are subjected to statistical processing, so that the characteristics of the effective number of people can be determined more accurately; the effective population characteristics are the population characteristics related to the time points or the preset time periods, and subsequently, the teaching quality analysis can be carried out in real time based on the effective population characteristics, and the problem of teaching quality at which time point or in the preset time period can be accurately positioned.
The method for analyzing teaching quality provided by the embodiment of the invention is described in detail above with reference to fig. 1 to 3, and the method can also be implemented by a corresponding device, and the device for analyzing teaching quality provided by the embodiment of the invention is described in detail below.
Fig. 4 shows a schematic structural diagram of an analysis apparatus for teaching quality provided by an embodiment of the present invention. As shown in fig. 4, the analysis device for teaching quality includes:
the sample module 41 is configured to determine sample teaching data of a plurality of sample teachers and corresponding report continuation rates, where the sample teaching data includes sample sub-teaching data of a plurality of preset time periods, and the sample sub-teaching data is data related to the number of students;
the statistical module 42 is used for respectively performing statistical processing on the sample teaching data and determining corresponding characteristic values of a plurality of characteristics of the number of people to be determined of each sample teacher;
the processing module 43 is configured to respectively use the rate of continuing to report by the sample teacher and the feature value of each feature of the number of undetermined persons as a data pair, respectively perform regression analysis on a plurality of data pairs corresponding to the same feature of the number of undetermined persons, determine the degree of fitting of the feature of the number of undetermined persons, and use one or more features of the number of undetermined persons with the highest degree of fitting as the feature of the effective number of persons;
the analysis module 44 is configured to obtain teaching data of a target teacher, determine a feature value of the feature of the number of effective persons of the target teacher according to the teaching data of the target teacher, and analyze teaching quality of the target teacher according to the feature value of the feature of the number of effective persons.
On the basis of the above embodiment, the determining, by the sample module 41, sample teaching data of a plurality of sample teachers includes:
acquiring teaching data of preset subjects of a sample teacher, wherein the teaching data of the preset subjects comprises a plurality of sections of teaching data;
dividing each section of teaching data into a plurality of sample sub-teaching data according to a preset time period, and generating sample teaching data based on all the sample sub-teaching data of the sample teacher.
On the basis of the foregoing embodiment, the statistical module 42 respectively performs statistical processing on the sample teaching data, and determines corresponding feature values of a plurality of characteristics of the number of persons to be determined of each sample teacher, including:
and carrying out statistical processing on the sample teaching data by taking the subject as a dimension, and determining corresponding characteristic values of the characteristics of a plurality of undetermined persons of the sample teacher under the corresponding subject dimension.
On the basis of the above embodiment, the characteristics of the number of undetermined persons are in the form of a ratio;
the undetermined number of people is characterized in that: the ratio of the number of online people to the number of people on duty at a first time point, the ratio of the number of offline people to the number of people on duty at a second time point, the ratio of the maximum number of online people to the number of people on duty at a first time point, the ratio of the maximum number of offline people to the number of people on duty at a second time point, or the ratio of the maximum number of leaving people to the number of people on duty at a third time point within one preset time period.
On the basis of the foregoing embodiment, the processing module 43 performs regression analysis on a plurality of data pairs corresponding to the same characteristics of the undetermined people respectively, and determines the fitting degree of the characteristics of the undetermined people, including:
respectively carrying out linear regression analysis on a plurality of data pairs corresponding to the same characteristics of the number of people to be determined;
determining the fitting degree R corresponding to the characteristics of the number of people to be determined2And R is2SSR/SST, SSR TableRegression sum of squares is shown and SST represents the total sum of squares.
On the basis of the above embodiment, the analyzing module 44 for analyzing the teaching quality of the target teacher according to the feature value of the feature of the number of effective persons includes:
and determining the characteristic value of the characteristic of the effective number of people in real time, and generating a reminding message in real time when the characteristic value of the characteristic of the effective number of people is abnormal.
The analysis device for the teaching quality, provided by the embodiment of the invention, is characterized in that a plurality of characteristics of the number of undetermined persons are predetermined, then statistical processing is carried out based on sample teaching data and a report continuation rate of a plurality of sample teachers, so that a plurality of data pairs taking the same characteristics of the number of undetermined persons as a group are determined, then regression analysis is carried out on the reorganized data pairs, and therefore effective characteristics of the number of persons with higher fitting degree can be selected from the characteristics of the number of undetermined persons based on the fitting degree of the regression analysis; the higher the fitting degree is, the more relevant the undetermined number characteristic and the report continuation rate are, so that the more accurate analysis and evaluation can be performed when the teaching quality of other teachers is analyzed based on the undetermined number characteristic subsequently, a more accurate teaching quality analysis result is generated, the problems in the teaching process can be conveniently improved by the teachers, the teaching quality is improved, and the report continuation rate of students can also be improved. The sample teaching data are determined by taking the subjects as dimensions and are subjected to statistical processing, so that the characteristics of the effective number of people can be determined more accurately; the effective population characteristics are the population characteristics related to the time points or the preset time periods, and subsequently, the teaching quality analysis can be carried out in real time based on the effective population characteristics, and the problem of teaching quality at which time point or in the preset time period can be accurately positioned.
In addition, an embodiment of the present invention further provides an electronic device, which includes a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the transceiver, the memory, and the processor are connected via the bus, and when being executed by the processor, the computer program implements each process of the embodiment of the analysis method for teaching quality, and can achieve the same technical effect, and is not described herein again to avoid repetition.
Specifically, referring to fig. 5, an embodiment of the present invention further provides an electronic device, which includes a bus 1110, a processor 1120, a transceiver 1130, a bus interface 1140, a memory 1150, and a user interface 1160.
In an embodiment of the present invention, the electronic device further includes: a computer program stored on the memory 1150 and executable on the processor 1120, the computer program when executed by the processor 1120 performs the processes of the above-described method embodiments of teaching quality analysis.
A transceiver 1130 for receiving and transmitting data under the control of the processor 1120.
In embodiments of the invention in which a bus architecture (represented by bus 1110) is used, bus 1110 may include any number of interconnected buses and bridges, with bus 1110 connecting various circuits including one or more processors, represented by processor 1120, and memory, represented by memory 1150.
Bus 1110 represents one or more of any of several types of bus structures, including a memory bus, and memory controller, a peripheral bus, an Accelerated Graphics Port (AGP), a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include: an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MCA) bus, an Enhanced ISA (EISA) bus, a Video Electronics Standards Association (VESA), a Peripheral Component Interconnect (PCI) bus.
The bus 1110 may also connect various other circuits such as peripherals, voltage regulators, or power management circuits to provide an interface between the bus 1110 and the transceiver 1130, as is well known in the art. Therefore, the embodiments of the present invention will not be further described.
The transceiver 1130 may be one element or may be multiple elements, such as multiple receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. For example: the transceiver 1130 receives external data from other devices, and the transceiver 1130 transmits data processed by the processor 1120 to other devices. Depending on the nature of the computer system, a user interface 1160 may also be provided, such as: touch screen, physical keyboard, display, mouse, speaker, microphone, trackball, joystick, stylus.
It is to be appreciated that in embodiments of the invention, the memory 1150 may further include memory located remotely with respect to the processor 1120, which may be coupled to a server via a network. One or more portions of the above-described networks may be an ad hoc network (ad hoc network), an intranet (intranet), an extranet (extranet), a Virtual Private Network (VPN), a Local Area Network (LAN), a Wireless Local Area Network (WLAN), a Wide Area Network (WAN), a Wireless Wide Area Network (WWAN), a Metropolitan Area Network (MAN), the Internet (Internet), a Public Switched Telephone Network (PSTN), a plain old telephone service network (POTS), a cellular telephone network, a wireless fidelity (Wi-Fi) network, and combinations of two or more of the above. For example, the cellular telephone network and the wireless network may be a global system for Mobile Communications (GSM) system, a Code Division Multiple Access (CDMA) system, a Worldwide Interoperability for Microwave Access (WiMAX) system, a General Packet Radio Service (GPRS) system, a Wideband Code Division Multiple Access (WCDMA) system, a Long Term Evolution (LTE) system, an LTE Frequency Division Duplex (FDD) system, an LTE Time Division Duplex (TDD) system, a long term evolution-advanced (LTE-a) system, a Universal Mobile Telecommunications (UMTS) system, an enhanced Mobile Broadband (eMBB) system, a mass machine Type Communication (mactype of Communication, mtc) system, an ultra reliable Low Latency Communication (urrllc) system, or the like.
It is to be understood that the memory 1150 in embodiments of the present invention can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. Wherein the nonvolatile memory includes: Read-Only Memory (ROM), Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), or Flash Memory.
The volatile memory includes: random Access Memory (RAM), which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as: static random access memory (Static RAM, SRAM), Dynamic random access memory (Dynamic RAM, DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data rate Synchronous Dynamic random access memory (Double Data RateSDRAM, DDRSDRAM), Enhanced Synchronous DRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and direct memory bus RAM (DRRAM). The memory 1150 of the electronic device described in the embodiments of the invention includes, but is not limited to, the above and any other suitable types of memory.
In an embodiment of the present invention, memory 1150 stores the following elements of operating system 1151 and application programs 1152: an executable module, a data structure, or a subset thereof, or an expanded set thereof.
Specifically, the operating system 1151 includes various system programs such as: a framework layer, a core library layer, a driver layer, etc. for implementing various basic services and processing hardware-based tasks. Applications 1152 include various applications such as: media Player (Media Player), Browser (Browser), for implementing various application services. A program implementing a method of an embodiment of the invention may be included in application program 1152. The application programs 1152 include: applets, objects, components, logic, data structures, and other computer system executable instructions that perform particular tasks or implement particular abstract data types.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements each process of the embodiment of the analysis method for teaching quality, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.
The computer-readable storage medium includes: permanent and non-permanent, removable and non-removable media may be tangible devices that retain and store instructions for use by an instruction execution apparatus. The computer-readable storage medium includes: electronic memory devices, magnetic memory devices, optical memory devices, electromagnetic memory devices, semiconductor memory devices, and any suitable combination of the foregoing. The computer-readable storage medium includes: phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), non-volatile random access memory (NVRAM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic tape cartridge storage, magnetic tape disk storage or other magnetic storage devices, memory sticks, mechanically encoded devices (e.g., punched cards or raised structures in a groove having instructions recorded thereon), or any other non-transmission medium useful for storing information that may be accessed by a computing device. As defined in embodiments of the present invention, the computer-readable storage medium does not include transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses traveling through a fiber optic cable), or electrical signals transmitted through a wire.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, electronic device and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electrical, mechanical or other form of connection.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to solve the problem to be solved by the embodiment of the invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present invention may be substantially or partially contributed by the prior art, or all or part of the technical solutions may be embodied in a software product stored in a storage medium and including instructions for causing a computer device (including a personal computer, a server, a data center, or other network devices) to execute all or part of the steps of the methods of the embodiments of the present invention. And the storage medium includes various media that can store the program code as listed in the foregoing.
The above description is only a specific implementation of the embodiments of the present invention, but the scope of the embodiments of the present invention is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the embodiments of the present invention, and all such changes or substitutions should be covered by the scope of the embodiments of the present invention. Therefore, the protection scope of the embodiments of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An analysis method for teaching quality, comprising:
determining sample teaching data and corresponding report continuation rates of a plurality of sample teachers, wherein the sample teaching data comprises sample sub-teaching data of a plurality of preset time periods, and the sample sub-teaching data is data related to the number of students;
respectively carrying out statistical processing on the sample teaching data, and determining corresponding characteristic values of the characteristics of a plurality of undetermined persons of each sample teacher;
respectively taking the rate of the sample teacher continuing to report and the characteristic value of each undetermined people number characteristic as a data pair, respectively carrying out regression analysis on a plurality of data pairs corresponding to the same undetermined people number characteristic, determining the fitting degree of the undetermined people number characteristic, and taking one or more undetermined people number characteristics with the highest fitting degree as effective people number characteristics;
the method comprises the steps of obtaining teaching data of a target teacher, determining a characteristic value of the number of effective people of the target teacher according to the teaching data of the target teacher, and analyzing the teaching quality of the target teacher according to the characteristic value of the number of effective people.
2. The analysis method of claim 1, wherein the determining sample instructional data for a plurality of sample instructors comprises:
acquiring teaching data of preset subjects of a sample teacher, wherein the teaching data of the preset subjects comprises a plurality of sections of teaching data;
dividing each section of teaching data into a plurality of sample sub-teaching data according to a preset time period, and generating sample teaching data based on all the sample sub-teaching data of the sample teacher.
3. The method of claim 2, wherein said statistically processing said sample instructional data to determine respective eigenvalues of a plurality of characteristics of the number of persons to be identified for each sample instructor comprises:
and carrying out statistical processing on the sample teaching data by taking the subject as a dimension, and determining corresponding characteristic values of the characteristics of a plurality of undetermined persons of the sample teacher under the corresponding subject dimension.
4. The method of claim 1, wherein the characteristics of the number of persons to be determined are characteristics in the form of ratios;
the undetermined number of people is characterized in that: the ratio of the number of online people to the number of people on duty at a first time point, the ratio of the number of offline people to the number of people on duty at a second time point, the ratio of the maximum number of online people to the number of people on duty at a first time point, the ratio of the maximum number of offline people to the number of people on duty at a second time point, or the ratio of the maximum number of leaving people to the number of people on duty at a third time point within one preset time period.
5. The method according to any one of claims 1 to 4, wherein the step of performing regression analysis on a plurality of data pairs corresponding to the same undetermined population characteristic to determine the degree of fitting of the undetermined population characteristic comprises:
respectively carrying out linear regression analysis on a plurality of data pairs corresponding to the same characteristics of the number of people to be determined;
determining the fitting degree R corresponding to the characteristics of the number of people to be determined2And R is2SSR/SST, SSR denotes the regression sum of squares, SST denotes the total sum of squares.
6. The method of any one of claims 1-4, wherein analyzing the teaching quality of the target teacher according to the feature value of the number of active people features comprises:
and determining the characteristic value of the characteristic of the effective number of people in real time, and generating a reminding message in real time when the characteristic value of the characteristic of the effective number of people is abnormal.
7. An analysis device for teaching quality, comprising:
the system comprises a sample module, a report generation module and a report sending module, wherein the sample module is used for determining sample teaching data of a plurality of sample teachers and corresponding report continuation rates, the sample teaching data comprise sample sub-teaching data of a plurality of preset time periods, and the sample sub-teaching data are data related to the number of students;
the statistical module is used for respectively carrying out statistical processing on the sample teaching data and determining corresponding characteristic values of the characteristics of a plurality of undetermined persons of each sample teacher;
the processing module is used for respectively taking the rate of continuing to report of the sample teacher and the characteristic value of each characteristic of the number of people to be determined as a data pair, respectively carrying out regression analysis on a plurality of data pairs corresponding to the same characteristic of the number of people to be determined, determining the fitting degree of the characteristic of the number of people to be determined, and taking one or more characteristics of the number of people to be determined with the highest fitting degree as effective characteristics of the number of people;
the analysis module is used for acquiring teaching data of a target teacher, determining the characteristic value of the number of effective persons of the target teacher according to the teaching data of the target teacher, and analyzing the teaching quality of the target teacher according to the characteristic value of the number of effective persons.
8. The analysis device of claim 7, wherein the sample module determines sample instructional data for a plurality of sample instructors comprising:
acquiring teaching data of preset subjects of a sample teacher, wherein the teaching data of the preset subjects comprises a plurality of sections of teaching data;
dividing each section of teaching data into a plurality of sample sub-teaching data according to a preset time period, and generating sample teaching data based on all the sample sub-teaching data of the sample teacher.
9. An electronic device comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected via the bus, characterized in that the computer program realizes the steps in the method for analyzing instructional quality as claimed in any one of claims 1 to 6 when executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of analyzing instructional quality according to any one of claims 1 to 6.
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