CN115796695A - Teaching achievement assessment method and device - Google Patents
Teaching achievement assessment method and device Download PDFInfo
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- CN115796695A CN115796695A CN202211612618.4A CN202211612618A CN115796695A CN 115796695 A CN115796695 A CN 115796695A CN 202211612618 A CN202211612618 A CN 202211612618A CN 115796695 A CN115796695 A CN 115796695A
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Abstract
The application discloses a teaching achievement assessment method and equipment, which belong to a data processing system specially suitable for administrative, commercial, financial, management, supervision or prediction purposes, and comprise the following steps: behavior data and business data generated in the teaching process are collected; according to the behavior data and the business data, a first index value corresponding to the teacher and a second index value corresponding to the student are obtained; and obtaining a corresponding teaching achievement evaluation result according to the first index value and the second index value. And analyzing the first index value to help school managers to further know the teaching enthusiasm of teachers so as to further improve the teaching quality. And analyzing the second index value, judging whether the work amount of the student is reasonable or not, and mastering the learning effect of the student. The purpose of operation monitoring can be achieved through a control means, and the control means also serves as a judgment basis for the teaching effect of teachers. The teaching behavior and the teaching result of the teacher are combined to be used as the assessment data of the teacher, and the teaching performance assessment of the teacher is promoted to fall to the ground in a quantitative calculation mode.
Description
Technical Field
The application relates to the field of computers, in particular to a teaching achievement assessment method and device.
Background
With the development of technology, more and more teachers give lessons online through a network platform, such as online teaching, online training and the like.
The teacher works subjective users and carries out a series of teaching preparation behaviors through the network platform. However, in the conventional scheme, a supervision mechanism aiming at online teaching of a teacher often does not exist, so that data evidence and effective evidence composition do not exist in the online teaching process of the teacher often, and behavior traces do not exist.
During evaluation, teachers are only collected through simple business data collection and then sequenced, so that effective supervision is difficult to achieve, and normal use of the business platform cannot be guaranteed.
Disclosure of Invention
In order to solve the above problems, the present application provides a teaching performance evaluation method, including:
acquiring behavior data and service data generated in a teaching process according to a first analysis index corresponding to a preset teacher behavior and a second analysis index corresponding to a preset student behavior, wherein the first analysis index comprises at least one dimension of an active rate, a lesson preparation number, a lesson number, an operation number and a function use degree, and the second analysis index comprises at least one dimension of an operation student number, a class operation accuracy rate and a class operation duration;
according to the behavior data and the business data, a first index value corresponding to a teacher and a second index value corresponding to a student are obtained;
and obtaining a corresponding teaching achievement evaluation result according to the first index value and the second index value.
On the other hand, this application has still provided a teaching achievement assessment equipment, includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform such as:
acquiring behavior data and service data generated in a teaching process according to a first analysis index corresponding to a preset teacher behavior and a second analysis index corresponding to a preset student behavior, wherein the first analysis index comprises at least one dimension of an active rate, a lesson preparation number, a lesson number, an operation number and a function use degree, and the second analysis index comprises at least one dimension of an operation student number, a class operation accuracy rate and a class operation duration;
according to the behavior data and the business data, a first index value corresponding to a teacher and a second index value corresponding to a student are obtained;
and obtaining a corresponding teaching achievement evaluation result according to the first index value and the second index value.
In another aspect, the present application further proposes a non-transitory computer storage medium storing computer-executable instructions configured to:
acquiring behavior data and service data generated in a teaching process according to a first analysis index corresponding to a preset teacher behavior and a second analysis index corresponding to a preset student behavior, wherein the first analysis index comprises at least one dimension of an active rate, a lesson preparation number, a lesson number, an operation number and a function use degree, and the second analysis index comprises at least one dimension of an operation student number, a class operation accuracy rate and a class operation duration;
according to the behavior data and the business data, a first index value corresponding to a teacher and a second index value corresponding to a student are obtained;
and obtaining a corresponding teaching performance evaluation result according to the first index value and the second index value.
The teaching achievement evaluation method provided by the application can bring the following beneficial effects:
by analyzing the first index value of the teacher, school managers are helped to further know the teaching enthusiasm of the teacher, so that the teaching quality is further improved. And judging whether the work amount of the student is reasonable or not and mastering the learning effect of the student by analyzing the second index value of the student. The purpose of operation monitoring can be achieved through a control means, and the control means also serves as a judgment basis for the teaching effect of teachers. The teaching behavior and the teaching result of the teacher are combined to be used as the assessment data of the teacher, and the teaching performance assessment of the teacher is promoted to fall to the ground in a quantitative calculation mode.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic flow chart of a performance evaluation method for teaching in an embodiment of the present application;
FIG. 2 is a diagram illustrating performance assessment results for teaching in an embodiment of the present application;
fig. 3 is a schematic diagram of a teaching performance evaluation device in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
As shown in fig. 1, an embodiment of the present application provides a teaching performance evaluation method, including:
s101: the method comprises the steps of collecting behavior data and service data generated in a teaching process according to a first analysis index corresponding to a preset teacher behavior and a second analysis index corresponding to a preset student behavior, wherein the first analysis index comprises at least one dimension of an activity rate, a lesson preparation number, a lesson number, an operation number and a function use degree, and the second analysis index comprises at least one dimension of an operation student number, a class operation accuracy rate and a class operation duration.
The teaching process is online teaching, and the action data includes teacher's and student's action data, for example, teacher's teaching, the homework of awarding, use teaching aid etc. student's answer question, submit the homework etc.. The business data comprises business results finally generated by teachers and students, such as teaching duration, examination scores and the like.
And acquiring behavior data and service data generated in the teaching process according to a preset first analysis index, wherein the first analysis index comprises at least one dimension of an activity rate Ac, a lesson preparation number Cm, a lesson number Lm, an operation number Em and a function use degree Ut.
And acquiring behavior data and business data generated in the teaching process according to a preset second analysis index, wherein the second analysis index corresponds to students and comprises at least one of the number of students submitting homework, the accuracy rate of class homework and the time length of class homework.
S102: and obtaining a first index value corresponding to the teacher and a second index value corresponding to the student according to the behavior data and the business data.
The first index value (for example, the performance in aspects of activity, homework, teaching and the like) and the second index value (for example, homework arrangement, homework time and homework accuracy and the like) are obtained through behavior data and business data respectively, and are used for describing the performance of teachers and students in the teaching process.
S103: and obtaining a corresponding teaching achievement evaluation result according to the first index value and the second index value.
By analyzing the first index value of the teacher, school managers are helped to further know the teaching enthusiasm of the teacher, so that the teaching quality is further improved. And judging whether the work amount of the student is reasonable or not and mastering the learning effect of the student by analyzing the second index value of the student. The purpose of operation monitoring can be achieved through a control means, and the control means also serves as a judgment basis for the teaching effect of teachers. The teaching behaviors and teaching results of teachers are combined to serve as data for assessment of the teachers, and the teaching performance assessment of the teachers is promoted to fall to the ground in a quantitative calculation mode.
In one embodiment, at this time, a first index value corresponding to the teacher is calculated and obtained according to the collected behavior data and the collected business data, and a comprehensive quality score corresponding to the teacher is obtained according to a weight corresponding to the first index value
The amount of the solvent, for example,
= α Ac + β Cm + γ Lm + δ Em + ∈ Ut, where α, β, γ, δ, and ∈ are the corresponding weights.
Specifically, a behavior data pool and a service data pool are established in advance, behavior data and service data are collected, the behavior data are stored in the behavior data pool, and the service data are stored in the service data pool.
At the moment, according to a preset first analysis index, acquiring corresponding behavior data and corresponding business data in a behavior data pool and a business data pool so as to calculate and obtain a first index value corresponding to the teacher.
For example, for the activity rate, the number of active any lessons teachers and the total number of any lessons teachers are collected in the behavior data pool, and the activity rate is calculated through (the number of active any lessons teachers/the total number of any lessons teachers). And aiming at the lesson preparation number, collecting the number of the uploaded lessons in a service data pool to calculate the lesson preparation number. And aiming at the number of the lessons, the number of the lessons in class is collected in a business data pool so as to calculate the number of the lessons. And aiming at the number of the jobs, acquiring the number of the arrangement jobs and the number of the explanation jobs in the behavior data pool and the business data pool, and calculating to obtain the number of the jobs through (the number of the arrangement jobs + the number of the explanation jobs). And aiming at the function usage degree, collecting the number of explanation lessons, the number of using drawing boards, the number of using timers, the number of using random roll names, the number of using synchronous projection and the number of using other functions in a behavior data pool, and calculating to obtain the function usage degree by (the number of explanation lessons, the number of using drawing boards, the number of using timers, the number of using random roll names, the number of using synchronous projection and the number of using other functions).
In addition, the preset first analysis index further comprises a grade and a subject, and at the moment, when the behavior data and the business data generated in the teaching process are collected according to the preset first analysis index, condition filtering is carried out according to the grade and the subject, and the behavior data and the business data generated in the teaching process are collected according to a condition filtering result.
In one embodiment, a second index value corresponding to the student is obtained through calculation according to the behavior data and the service data, and a reference value corresponding to the student is obtained according to the weight corresponding to the second index value.
For example, the number of submitting homework students is determined as the number of submitting homework students based on the average value of the numbers of submitting homework students of a plurality of classes in the behavior data and the business data. For example, in the case of a liquid,
wherein, in the step (A),
to submit the average of the number of homework students, N is the number of classes. And aiming at the accuracy of the class operation, taking the average value of the accuracy of the class operation of a plurality of classes in the behavior data and the service data as the accuracy of the class operation, and determining the discrete value of the accuracy of the class operation according to the accuracy of the class operation. For example,
and
wherein the content of the first and second substances,
in order to achieve the accuracy of the class operation,
is a discrete value of the correct rate of the class job. And aiming at the class operation duration, taking the average value of the class operation durations of a plurality of classes in the behavior data and the service data as the class operation duration, and determining the discrete value of the class operation duration according to the class operation duration. For example,
and
wherein, in the step (A),
the time length of the class operation is the time length,
is a discrete value of the duration of the class operation.
At this time, according to
Obtaining a reference value corresponding to the student, wherein,
in order to refer to the value of the value,
、 
、 
the weighting coefficients (note that, here, the weighting coefficients may be the same as or different from the weighting coefficients in the above comprehensive prime score, and the signs are only for the sake of substitutionTable weight coefficients, which do not represent a correlation between the weight coefficients in the two formulas),
the number of students in the class, C, and T are standard coefficients of correct rate fluctuation and standard coefficients of working time fluctuation, which can be set based on actual conditions.
In one embodiment, according to
Obtaining a corresponding teaching performance evaluation result, wherein F is the teaching performance assessment total score corresponding to the teacher,
in order to integrate the quality scores of the plants,
is a reference value. Ranking according to the total score of the assessment and evaluation of each teaching achievement to obtain the highest total score of the assessment and evaluation of the teaching achievement
. According to F and
to obtain a corresponding teaching performance assessment result (e.g., based on a percentage score). The teaching performance assessment results may be as shown in fig. 2.
As shown in fig. 3, an embodiment of the present application further provides an instructional performance evaluation apparatus, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform such as:
acquiring behavior data and service data generated in a teaching process according to a first analysis index corresponding to a preset teacher behavior and a second analysis index corresponding to a preset student behavior, wherein the first analysis index comprises at least one dimension of an active rate, a lesson preparation number, a lesson number, an operation number and a function use degree, and the second analysis index comprises at least one dimension of an operation student number, a class operation accuracy rate and a class operation duration;
according to the behavior data and the business data, a first index value corresponding to a teacher and a second index value corresponding to a student are obtained;
and obtaining a corresponding teaching achievement evaluation result according to the first index value and the second index value.
An embodiment of the present application further provides a non-volatile computer storage medium storing computer-executable instructions, where the computer-executable instructions are configured to:
acquiring behavior data and service data generated in a teaching process according to a first analysis index corresponding to a preset teacher behavior and a second analysis index corresponding to a preset student behavior, wherein the first analysis index comprises at least one dimension of an active rate, a lesson preparation number, a lesson number, an operation number and a function use degree, and the second analysis index comprises at least one dimension of an operation student number, a class operation accuracy rate and a class operation duration;
according to the behavior data and the business data, a first index value corresponding to a teacher and a second index value corresponding to a student are obtained;
and obtaining a corresponding teaching achievement evaluation result according to the first index value and the second index value.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the device and media embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference may be made to some descriptions of the method embodiments for relevant points.
The device and the medium provided by the embodiment of the application correspond to the method one to one, so the device and the medium also have the similar beneficial technical effects as the corresponding method, and the beneficial technical effects of the method are explained in detail above, so the beneficial technical effects of the device and the medium are not repeated herein.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, 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 specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, 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), 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 cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method for performance assessment in teaching comprising:
acquiring behavior data and business data generated in a teaching process according to a first analysis index corresponding to a preset teacher behavior and a second analysis index corresponding to a student behavior, wherein the first analysis index comprises at least one dimension of an active rate, a lesson preparation number, a lesson number, an operation number and a function utilization degree, and the second analysis index comprises at least one dimension of an operation submission student number, a class operation accuracy rate and a class operation duration;
according to the behavior data and the business data, a first index value corresponding to a teacher and a second index value corresponding to a student are obtained;
and obtaining a corresponding teaching achievement evaluation result according to the first index value and the second index value.
2. The method according to claim 1, wherein obtaining a first index value corresponding to the teacher according to the behavior data and the business data specifically includes:
calculating to obtain a first index value corresponding to the teacher according to the behavior data and the service data;
and obtaining the comprehensive quality score corresponding to the teacher according to the weight corresponding to the first index value.
3. The method of claim 2, wherein after collecting behavioral data and business data generated during the tutoring process, the method further comprises:
storing the behavior data in a behavior data pool, and storing the service data in a service data pool;
calculating to obtain a first index value corresponding to the teacher according to the behavior data and the service data, specifically including:
and acquiring the corresponding behavior data and the corresponding business data in the behavior data pool and the business data pool according to a preset first analysis index so as to calculate and obtain a first index value corresponding to the teacher.
4. The method according to claim 3, wherein the step of acquiring the corresponding behavior data and the corresponding business data in the behavior data pool and the business data pool according to a preset first analysis index to calculate a first index value corresponding to the teacher includes:
aiming at the activity rate, acquiring the number of active lesson teachers and the total number of lesson teachers in the behavior data pool to calculate the activity rate;
acquiring the number of uploaded classes in the service data pool aiming at the lesson preparation number so as to calculate the lesson preparation number;
for the number of the lessons, collecting lesson time in the service data pool to calculate the number of the lessons;
aiming at the number of the jobs, acquiring the number of the arrangement jobs and the number of the explanation jobs in the behavior data pool and the business data pool to calculate the number of the jobs;
and aiming at the function usage degree, collecting the number of explanation courses, the number of using drawing boards, the number of using timers, the number of using random roll names, the number of using synchronous projections and the number of using other functions in the behavior data pool to calculate the function usage degree.
5. The method of claim 2, wherein the preset first analysis metrics further include grade, discipline;
the method comprises the following steps of collecting behavior data and business data generated in a teaching process according to a preset first analysis index, wherein the method specifically comprises the following steps:
and performing condition filtering according to the grade and the subject, and acquiring behavior data and business data generated in the teaching process according to a condition filtering result.
6. The method according to claim 1, wherein obtaining a second index value corresponding to the student according to the behavior data and the business data specifically comprises:
calculating to obtain a second index value corresponding to the student according to the behavior data and the service data;
and obtaining a reference value corresponding to the student according to the weight corresponding to the second index value.
7. The method according to claim 6, wherein the step of calculating a second index value corresponding to the student according to the behavior data and the business data specifically comprises:
aiming at the number of the submitted homework students, taking the average value of the number of the submitted homework students of a plurality of classes in the behavior data and the business data as the number of the submitted homework students;
aiming at the class operation accuracy, according to the behavior data and the average value of the class operation accuracy of a plurality of classes in the service data, the average value is used as the class operation accuracy, and according to the class operation accuracy, the discrete value of the class operation accuracy is determined;
and aiming at the class operation duration, taking the average value of the class operation durations of a plurality of classes in the behavior data and the service data as the class operation duration, and determining the discrete value of the class operation duration according to the class operation duration.
8. The method according to claim 7, wherein obtaining the reference value corresponding to the student according to the weight corresponding to the second index value specifically includes:
according to
Obtaining a reference value corresponding to the student, wherein,
in order to refer to the value of the value,
、
、
in order to be the weight coefficient,
submitting the number of students for the homework, C the standard coefficient of correct rate fluctuation, T the standard coefficient of homework time fluctuation
Accuracy of class work
Discrete value of accuracy of class operation
Duration of class operation
Discrete values of duration of class work
N is classThe number of the cells.
9. The method according to claim 2 or 6, wherein obtaining a corresponding teaching performance assessment result according to the first index value and the second index value specifically comprises:
according to
Obtaining a corresponding teaching performance evaluation result, wherein F is a teaching performance assessment and evaluation total score corresponding to the teacher,
in order to integrate the quality scores of the plants,
is a reference value;
ranking according to each of the total scores of the assessment and evaluation of the teaching performance to obtain the highest total score of the assessment and evaluation of the teaching performance
；
According to F and
the corresponding assessment result of the teaching achievement is obtained.
10. A teaching performance assessment device comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform such as:
acquiring behavior data and service data generated in a teaching process according to a first analysis index corresponding to a preset teacher behavior and a second analysis index corresponding to a preset student behavior, wherein the first analysis index comprises at least one dimension of an active rate, a lesson preparation number, a lesson number, an operation number and a function use degree, and the second analysis index comprises at least one dimension of an operation student number, a class operation accuracy rate and a class operation duration;
according to the behavior data and the business data, a first index value corresponding to a teacher and a second index value corresponding to a student are obtained;
and obtaining a corresponding teaching performance evaluation result according to the first index value and the second index value.
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