CN115879820B - Teacher-student connection quality evaluation method and system based on online teaching feedback information - Google Patents
Teacher-student connection quality evaluation method and system based on online teaching feedback information Download PDFInfo
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Abstract
The invention relates to the field of computer information processing, and provides a teacher-student connection quality evaluation method and system based on-line teaching feedback information. The method comprises the following steps: (1) Constructing a teacher-student connection quality evaluation framework which comprises three evaluation indexes of connection strength, connection frequency and timely degree; (2) Extracting the coupling characteristics of teachers and students, mining interactive information of the behaviors of the teachers and students fed back by the online teaching of the teachers, determining a problem model of the coupling characteristics, establishing a processing algorithm of the coupling characteristics of the teachers and the students, and identifying and extracting the coupling characteristics of the teachers and the students; (3) Establishing a comprehensive evaluation algorithm, calculating the joint strength, the joint frequency and the timely degree evaluation index score, determining index weight by applying an entropy weight method, and measuring and calculating the combined quality comprehensive evaluation score of teachers and students; (4) generating a visual image. The evaluation method and the evaluation system can deeply mine interaction information of the behaviors of teachers and students fed back by the online teaching of teachers and students, comprehensively diagnose the connection quality of the teachers and the students, promote effective interaction of the teachers and the students in the online teaching environment and promote the online teaching quality.
Description
Technical Field
The invention relates to the field of computer information processing, in particular to a teacher-student connection quality evaluation method and system based on-line teaching feedback information.
Background
The important role of online teaching is increasingly prominent, and in an online teaching environment, the connection quality of teachers and students is a key element for reflecting interaction conditions of the teachers and students and online teaching effects. The teacher feedback plays an important role in maintaining the connection of teachers and students and ensuring the connection interaction of teachers and students. And the evaluation of the teacher-student connection quality based on the feedback information of the online teaching is developed, so that the current state of the teacher-student connection characteristics and quality in the online teaching is well excavated.
The evaluation and research of the coupling quality of teachers and students in the current online teaching environment have the following difficulties: (1) Key information generated by teacher feedback in an online teaching environment is ignored, and the connection quality of teachers and students is difficult to comprehensively evaluate; (2) The evaluation method is subjective, takes questionnaire data and interview data as the main materials, and the objectivity and accuracy of the evaluation result are difficult to ensure; (3) The method lacks a unified evaluation framework and flow, is difficult to realize large-scale and standardized teacher-student connection quality evaluation, the evaluation results cannot be compared horizontally and longitudinally, the practical value of the evaluation results is low, and the practical requirements of online education development of China cannot be completely met.
Disclosure of Invention
Aiming at the defects or improvement demands of the prior art, the invention provides a teacher-student connection quality evaluation method and system based on online teaching feedback information, which aim to deeply mine interactive information of teacher-student actions fed back by the online teaching of a teacher, comprehensively diagnose the connection quality of the teacher and the student, promote effective interaction of the teacher and the student in the online teaching environment and improve the online teaching quality.
The object of the invention is achieved by the following technical measures.
A teacher-student connection quality evaluation method based on online teaching feedback information comprises the following steps:
(1) Constructing a teacher-student connection quality evaluation framework. And determining the coupling characteristics of teachers and students from the feedback view of teachers and students, and constructing a teacher-student coupling quality evaluation framework which comprises three evaluation indexes of coupling strength, coupling frequency and timely degree.
(2) Extracting the teacher and student connection characteristics. And excavating interactive information of teacher and student behaviors fed back by the online teaching of a teacher, determining a coupling feature problem model, establishing a teacher-student coupling feature processing algorithm, and identifying and extracting the teacher-student coupling features. In particular, the method comprises the steps of,
(2-1) mining teacher online teaching feedback related data, mining basic information data of teachers and students around feedback object information, including teacher name, gender and age information; collecting behavior log data of teacher-student interaction around feedback behavior information, wherein the behavior log data comprise a behavior sender, a behavior receiver and a behavior generation time;
(2-2) determining a coupling feature problem model, and building the coupling feature problem model around three coupling features of a coupling strength, a coupling frequency and a timely degree, wherein the coupling feature problem model is as follows:
wherein C(s) i ) Representing the coupling characteristics of the teacher and the ith student, C 1 (s i ) Representing the connection strength of a teacher and an ith student, C 2 (s i ) Indicating the coupling frequency of teachers to ith student, C 3 (s i ) Indicating the timely degree of feedback of the teacher to the ith student;
(2-3) establishing a teacher-student connection feature processing algorithm, wherein the teacher-student interaction Behavior Behavior consists of three elements of a Behavior sender, a Behavior receiver and a Behavior generation time, and a set of the teacher-student interaction behaviors Behavior= { b 1 ,b 2 ,b 3 ,…,b n Any one of behaviors b i Can be all obtained by the function Q (sender i ,receiver i ,t i ) Representation, where sender i ∈{teacher,s 1 ,s 2 ,…,s m }，receiver i ∈{teacher,s 1 ,s 2 ,…,s m }，sender i Sender, receiver, representing the ith behavior i Representing the recipients of the ith action, t i Representing the instant at which the ith action was generated, the teacher represents the teacher, s 1 ,s 2 ,…,s m Representing m students, determining that the expression of the teacher-student behavior function is Q (sender i ,receiver i ,t i ) Then, combining the connection strength, the connection frequency, the timely degree characteristics and the index meanings, and further establishing each characteristic processing algorithm;
(2-3-1) establishing a coupling strength characteristic processing algorithm, wherein the coupling strength represents the interaction behavior state and times of teachers and students, and the coupling strength C of the teachers and the ith student 1 (s i ) The interaction behavior quantity and the response state of the students to the feedback of the teachers are analyzed to obtain the interaction behavior quantity and the response state of the students to the feedback of the teachers;
wherein, count is the counting function, is used for counting the total number of interactive behavior of teacher and ith student; the teacher represents teacher, s i Representing the i-th student's (student),representing any time; r represents the student set in response to teacher feedback, R (s i ) Representing interaction state of teacher and ith student, if s i E R is R(s) i ) Is 1, otherwise R (s i ) Is 0;
(2-3-2) establishing a coupling frequency characteristic processing algorithm, wherein the coupling frequency represents the number of times that a teacher provides feedback for students, and the coupling frequency C of the teacher to the ith student is analyzed by a time distribution function of the feedback behavior of the teacher 2 (s i ) Determining by the time sequence characteristics of the feedback behaviors of the teacher;
wherein Average and STD represent an averaging function and a standard deviation function, respectively,expressed in +.>The number of behaviors fed back by the inner teacher to the ith student per unit time>May be weekly or monthly;
(2-3-2) establishing a timely degree feature processing algorithm, wherein the timely degree represents the timely degree of receiving the response of the student by the teacher and providing feedback, the timely degree is obtained by calculating the response degree of the teacher to the student and the response time interval for providing feedback, and the response time interval is calculated by the average value and the standard deviation value of the time interval in effective feedback, so that the time interval length and the stability degree of the teacher feedback can be effectively represented;
to calculate the feedback timeliness degree C of the teacher to the ith student 3 (s i ) Firstly, establishing a teacher and a student s i Behavior time series collection of (a)Wherein->The moment of the teacher initiating feedback behavior is represented as t 1 ，/>The moment of initiating the behavior of the student is t 2 Each t is calculated separately s From the previous time t t Form teacher and student s i Set Δt of feedback time intervals of (2) i Based on the set of time intervals Δt i Calculating the feedback timeliness degree C of the teacher to the ith student 3 (s i )；
Wherein t is * ∈Δt i Denoted as deltat i One element of the collection, t max The time interval threshold is fed back for the teacher.
(3) And (5) establishing a comprehensive evaluation algorithm. And (3) integrating the teacher and student connection characteristic information, calculating connection strength, connection frequency and timely degree evaluation index scores, determining index weights by using an entropy weight method, and measuring and calculating the combined evaluation scores of the teacher and student connection quality.
(4) A visual image is generated. And converting the evaluation score into an evaluation grade, and generating an evaluation result visual image by combining the basic information of the teacher, the evaluation score and the evaluation grade.
The invention also provides a teacher-student connection quality evaluation system based on the online teaching feedback information, which comprises the following modules:
the evaluation frame module is used for constructing a teacher-student connection quality evaluation frame, and comprises three evaluation indexes of connection strength, connection frequency and timely degree;
the basic information module is used for setting basic information data of teachers and students, including names, sexes and ages of the teachers and students;
the data mining module is used for collecting and mining teacher-student interaction behavior log data, and comprises a behavior sender, a behavior receiver and behavior generation time information;
the feature processing module is used for processing the interactive behavior information of teachers and students according to a teacher-student connection feature processing algorithm to generate connection strength, connection frequency and timely degree features;
the index weight measuring and calculating module is used for calculating an evaluation index weight value according to the characteristic data;
the evaluation result calculation module is used for calculating each evaluation index score and the comprehensive evaluation score;
the evaluation grade conversion module is used for setting an evaluation grade set and converting the comprehensive evaluation score into a corresponding evaluation grade;
and the image generation module is used for visually processing the basic information of the teacher, the evaluation score and the evaluation grade data and generating an evaluation result visual image.
The invention has the beneficial effects that:
the method has the advantages that the interactive information of the teachers and students fed back by the online teaching of the teachers is mined, a teacher-student connection quality evaluation frame is constructed, the teacher-student connection characteristics are extracted, the accurate and comprehensive evaluation of the teacher-student connection quality is realized, the deep understanding of the interaction mechanism and connection rule of the teachers and students in the online teaching environment is facilitated, the effective interaction of the teachers and students in the online teaching environment is promoted, and the online teaching quality is improved.
Drawings
Fig. 1 is a general flowchart constructed by the teacher-student joint quality evaluation method according to the embodiment of the present invention.
Fig. 2 is a schematic diagram of a teacher-student joint quality evaluation framework according to an embodiment of the present invention.
Fig. 3 is a flowchart of the process algorithm for recognizing the characteristics of the teacher and student's coupling according to the embodiment of the present invention.
FIG. 4 is a flowchart of the building of a comprehensive evaluation algorithm according to an embodiment of the present invention.
FIG. 5 is a three-dimensional radar chart of a visual representation of the results of the joint quality assessment according to an embodiment of the present invention.
FIG. 6 is a schematic diagram of a visual image of the result of the joint quality evaluation according to the embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
As shown in fig. 1, the embodiment of the invention provides a teacher-student connection quality evaluation method based on online teaching feedback information, which comprises the following steps:
(1) Constructing a teacher-student connection quality evaluation framework. And determining the coupling characteristics of teachers and students from the feedback view of teachers and students, and constructing a teacher-student coupling quality evaluation framework which comprises three evaluation indexes of coupling strength, coupling frequency and timeliness, as shown in figure 2.
(1-1) determining a teacher-student coupling feature. From the perspective of teacher feedback, determining the connection of teachers and students, establishing a teacher-student network for teachers and students through feedback and maintaining the relationship of the teacher-student network, and the characteristics specifically comprise connection strength, connection frequency and timeliness.
(1-2) construction of an evaluation framework. Based on the teacher-student connection characteristics, three corresponding evaluation indexes are established to form a teacher-student connection quality evaluation framework. The framework specifically comprises the following three evaluation indexes:
the joint strength index: the method is used for evaluating whether a teacher establishes a bidirectional teacher-student connection relationship through feedback or not and the number of the teacher-student connection relationship;
a coupling frequency index: the frequency for the teacher to provide feedback for the students is evaluated;
timely degree index: for evaluating the time interval in which the teacher provides feedback after receiving the student's response.
(2) Extracting the teacher and student connection characteristics. And excavating interactive information of teacher and student behaviors fed back by the online teaching of a teacher, determining a coupling feature problem model, establishing a teacher-student coupling feature processing algorithm, and identifying and extracting the teacher-student coupling features.
As shown in fig. 3, the process of extracting the teacher-student connection characteristics comprises the following steps:
and (2-1) excavating relevant data of online teaching feedback of teachers. The basic information data of teachers and students, including the names, sexes and ages of teachers and students, are mined around the feedback object information; and collecting behavior log data of the interaction of teachers and students around feedback behavior information, wherein the behavior log data comprise a behavior sender, a behavior receiver and a behavior generation time.
(2-2) determining a model of the junction characteristic problem. The method comprises the steps of building a coupling characteristic problem model around three coupling characteristics of coupling strength, coupling frequency and timely degree, wherein the coupling characteristic problem model is as follows:
wherein C(s) i ) Representing the coupling characteristics of the teacher and the ith student, C 1 (s i ) Representing the connection strength of a teacher and an ith student, C 2 (s i ) Indicating the coupling frequency of teachers to ith student, C 3 (s i ) Indicating how timely the teacher feeds back to the ith student.
(2-3) establishing a teacher-student connection characteristic processing algorithm. The interactive Behavior Behavior consists of three elements, namely a Behavior sender, a Behavior receiver and a Behavior generation time. Based on this, the set behavior= { b of the teacher-student interaction Behavior 1 ,b 2 ,b 3 ,…,b n Any one of behaviors b i Can be all obtained by the function Q (sender i ,receiver i ,t i ) Representation, where sender i ∈{teacher,s 1 ,s 2 ,…,s m }，receiver i ∈{teacher,s 1 ,s 2 ,…,s m }. Specifically, sender i Sender, receiver, representing the ith behavior i Representing the recipients of the ith action, t i Representing the instant at which the ith action was generated, the teacher represents the teacher, s 1 ,s 2 ,…,s m Representing m students. After determining the expression of the teacher-student behavior function as Q (sender i ,receiver i ,t i ) And then, combining the connection strength, the connection frequency, the timely degree characteristics and the index meanings, and further establishing each characteristic processing algorithm.
(2-3-1) establishing a joint strength feature processing algorithm. The bond strength indicates the status (bi-directional interaction or uni-directional propagation) and number of interactions between teachers and students. Thus, the coupling strength C of the teacher and the ith student 1 (s i ) The method can be obtained by analyzing the interactive behavior quantity and the response state of the students to the feedback of the teachers.
Wherein, count is the counting function, is used for counting the total number of interactive behavior of teacher and ith student; the teacher represents teacher, s i Representing the i-th student's (student),representing any time; r represents the student set in response to teacher feedback, R (s i ) Representing interaction state of teacher and ith student, if s i E R is R(s) i ) Is 1, otherwise R (s i ) Is 0.
(2-3-2) establishing a join frequency feature processing algorithm. The coupling frequency represents the number of times the teacher provides feedback for the students, and can be analyzed by the time distribution function of the feedback behavior of the teacher. Therefore, the teacher's coupling frequency C to the ith student 2 (s i ) Determined by the timing characteristics of the teacher's feedback behavior.
Wherein Average and STD represent Average respectivelyThe value function and the standard deviation function are calculated,expressed in +.>The number of behaviors fed back by the inner teacher to the ith student per unit time>May be weekly or monthly.
(2-3-2) establishing a timely degree feature processing algorithm. The timely degree indicates the timely degree that the teacher receives the student responses and provides feedback, and the timely degree can be obtained by calculating the response degree of the teacher to the students and the response time interval for providing feedback. The response time interval is calculated by the average value and the standard deviation value of the time interval in the effective feedback, and the length and the stability of the time interval fed back by a teacher can be effectively represented.
Thus, to calculate the teacher's feedback on the ith student to the degree of timeliness C 3 (s i ) It is necessary to build teacher and student s first i Behavior time series collection of (a)Wherein->The moment of the teacher initiating feedback behavior is represented as t 1 ，/>The moment of initiating the behavior of the student is t 2 Each t is calculated separately s From the previous time t t Form teacher and student s i Set Δt of feedback time intervals of (2) i . Based on a set of time intervals Δt i The feedback timeliness degree C of the teacher to the ith student can be calculated 3 (s i )。
Wherein t is * ∈Δt i Denoted as deltat i One element of the collection, t max The time interval threshold is fed back for the teacher.
(3) And (5) establishing a comprehensive evaluation algorithm. As shown in fig. 4, the combined characteristic information of teachers and students is integrated, the combined strength, the combined frequency and the timely evaluation index score are calculated, the index weight is determined by applying an entropy weight method, and the combined quality evaluation score of the teachers and students is calculated. The method comprises the following steps:
(3-1) calculating an evaluation index score. According to the characteristic values of the connection strength, the connection frequency and the degree in time, a characteristic value Matrix is established, and the score e of each evaluation index is calculated 1 ,e 2 ,e 3 ；
Wherein C is 1 (s m ) Representing the characteristic value of the coupling strength of a teacher and an mth student, C 2 (s m ) Representing the characteristic value of the coupling frequency of the teacher and the mth student, C 3 (s m ) Indicating the characteristic value of the degree of timeliness of teachers and mth students, e 1 Indicating a bond strength evaluation index score, e 2 Indicating a score of the coupling frequency evaluation index, e 3 Indicating a timely degree evaluation index score.
(3-2) measuring and calculating the comprehensive evaluation score. Processing the characteristic value Matrix by adopting an entropy method to obtain each evaluation index weight w i ＝{w 1 ,w 2 ,w 3 -a }; processing the evaluation index score e by using a linear weighting method 1 ,e 2 ,e 3 And weight w 1 ,w 2 ,w 3 The comprehensive evaluation value score_total is calculated.
(4) A visual image is generated. And converting the evaluation score into an evaluation grade, and generating an evaluation result visual image by combining the basic information of the teacher, the evaluation score and the evaluation grade.
(4-1) transformation evaluation grade. Aiming at a percentile mechanism of evaluation scores, a grade demarcation scheme is established, K intervals are divided into an evaluation grade set on average in the intervals of [0,100], and corresponding evaluation grades are determined according to the evaluation scores score_total.
(4-2) creating a visual image. The radar map and the bar chart are used for processing the evaluation score and the evaluation grade data, and the visual image of the connection quality evaluation result is generated by combining the basic information of the teacher, as shown in fig. 5 and 6.
The embodiment of the invention also provides a teacher-student connection quality evaluation system based on the online teaching feedback information, which is used for realizing the teacher-student connection quality evaluation method, and comprises the following steps:
the evaluation frame module is used for constructing a teacher-student connection quality evaluation frame, and comprises three evaluation indexes of connection strength, connection frequency and timely degree;
the basic information module is used for setting basic information data of teachers and students, including names, sexes and ages of the teachers and students;
the data mining module is used for collecting and mining teacher-student interaction behavior log data, and comprises a behavior sender, a behavior receiver and behavior generation time information;
the feature processing module is used for processing the interactive behavior information of teachers and students according to a teacher-student connection feature processing algorithm to generate connection strength, connection frequency and timely degree features;
the index weight measuring and calculating module is used for calculating an evaluation index weight value according to the characteristic data;
the evaluation result calculation module is used for calculating each evaluation index score and the comprehensive evaluation score;
the evaluation grade conversion module is used for setting an evaluation grade set and converting the comprehensive evaluation score into a corresponding evaluation grade;
and the image generation module is used for visually processing the basic information of the teacher, the evaluation score and the evaluation grade data and generating an evaluation result visual image.
What is not described in detail in this specification is prior art known to those skilled in the art.
It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the invention and is not intended to limit the invention, but any modifications, equivalents and improvements made within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (5)
1. A teacher-student connection quality evaluation method based on online teaching feedback information is characterized by comprising the following steps:
(1) Constructing a teacher-student connection quality evaluation frame, determining the connection characteristics of the teacher and the student from the feedback view of the teacher, and constructing the teacher-student connection quality evaluation frame, wherein the evaluation frame comprises three evaluation indexes of connection strength, connection frequency and timeliness;
(2) Extracting the coupling characteristics of teachers and students, mining interactive information of the behaviors of the teachers and students fed back by the online teaching of the teachers, determining a problem model of the coupling characteristics, establishing a processing algorithm of the coupling characteristics of the teachers and the students, and identifying and extracting the coupling characteristics of the teachers and the students; the method comprises the following steps:
(2-1) mining teacher online teaching feedback related data, mining basic information data of teachers and students around feedback object information, including teacher name, gender and age information; collecting behavior log data of teacher-student interaction around feedback behavior information, wherein the behavior log data comprise a behavior sender, a behavior receiver and a behavior generation time;
(2-2) determining a coupling feature problem model, and building the coupling feature problem model around three coupling features of a coupling strength, a coupling frequency and a timely degree, wherein the coupling feature problem model is as follows:
wherein C(s) i ) Representing the coupling characteristics of the teacher and the ith student, C 1 (s i ) Representing the connection strength of a teacher and an ith student, C 2 (s i ) Indicating the coupling frequency of teachers to ith student, C 3 (s i ) Indicating the timely degree of feedback of the teacher to the ith student;
(2-3) establishing a teacher-student connection feature processing algorithm, wherein the teacher-student interaction Behavior Behavior consists of three elements of a Behavior sender, a Behavior receiver and a Behavior generation time, and a set of the teacher-student interaction behaviors Behavior= { b 1 ，b 2 ，b 3 ，…，b n Any one of behaviors b i Can be all obtained by the function Q (sender i ，receiver i ，t i ) Representation, where sender i ∈{teacher，s 1 ，s 2 ，…，s m }，receiver i ∈{teacher，s 1 ，s 2 ，…，s m }，sender i Sender, receiver, representing the ith behavior i Representing the recipients of the ith action, t i Representing the instant at which the ith action was generated, the teacher represents the teacher, s 1 ，s 2 ，…，s m Representing m students, determining that the expression of the teacher-student behavior function is Q (sender i ，receiver i ，t i ) Then, combining the connection strength, the connection frequency, the timely degree characteristics and the index meanings, and further establishing each characteristic processing algorithm;
(2-3-1) establishing a coupling strength characteristic processing algorithm, wherein the coupling strength represents the interaction behavior state and times of teachers and students, and the coupling strength C of the teachers and the ith student 1 (s i ) The interaction behavior quantity and the response state of the students to the feedback of the teachers are analyzed to obtain the interaction behavior quantity and the response state of the students to the feedback of the teachers;
wherein, count is the counting function, is used for counting the total number of interactive behavior of teacher and ith student; the teacher represents teacher, s i Representing the i-th student's (student),representing any time; r represents the student set in response to teacher feedback, R (s i ) Representing interaction state of teacher and ith student, if s i E R is R(s) i ) Is 1, otherwise R (s i ) Is 0;
(2-3-2) establishing a coupling frequency characteristic processing algorithm, wherein the coupling frequency represents the number of times that a teacher provides feedback for students, and the coupling frequency C of the teacher to the ith student is analyzed by a time distribution function of the feedback behavior of the teacher 2 (s i ) Determining by the time sequence characteristics of the feedback behaviors of the teacher;
wherein Average and STD represent an averaging function and a standard deviation function, respectively,expressed in +.>The number of behaviors fed back by the inner teacher to the ith student per unit time>May be weekly or monthly;
(2-3-2) establishing a timely degree feature processing algorithm, wherein the timely degree represents the timely degree of receiving the response of the student by the teacher and providing feedback, the timely degree is obtained by calculating the response degree of the teacher to the student and the response time interval for providing feedback, and the response time interval is calculated by the average value and the standard deviation value of the time interval in effective feedback, so that the time interval length and the stability degree of the teacher feedback can be effectively represented;
to calculate the feedback timeliness degree C of the teacher to the ith student 3 (s i ) Firstly, establishing a teacher and a student s i Behavior time series collection of (a)Wherein->The moment of the teacher initiating feedback behavior is represented as t 1 ，/>The moment of initiating the behavior of the student is t 2 Each t is calculated separately s From the previous time t t Form teacher and student s i Set Δt of feedback time intervals of (2) i Based on the set of time intervals Δt i Calculating the feedback timeliness degree C of the teacher to the ith student 3 (s i )；
Wherein t is * ∈Δt i Denoted as deltat i One element of the collection, t max Feeding back a time interval threshold value for a teacher;
(3) Establishing a comprehensive evaluation algorithm, integrating the teacher-student connection characteristic information, calculating connection strength, connection frequency and timely degree evaluation index scores, determining index weights by applying an entropy weight method, and measuring and calculating the teacher-student connection quality comprehensive evaluation scores;
(4) Generating a visual image, converting the evaluation score into an evaluation grade, and generating an evaluation result visual image by combining the basic information of the teacher, the evaluation score and the evaluation grade.
2. The method for evaluating the quality of the connection between a teacher and a student based on-line teaching feedback information according to claim 1, wherein the specific process of constructing the framework for evaluating the quality of the connection between the teacher and the student in the step (1) is as follows:
the method comprises the steps of (1-1) determining the connection characteristics of teachers and students, wherein the connection characteristics comprise the specific connection strength, connection frequency and timely degree, and the teacher establishes a teacher-student network through feedback and maintains the relationship between the teachers and students;
(1-2) constructing an evaluation framework, and based on the teacher-student connection characteristics, establishing three corresponding evaluation indexes to form the teacher-student connection quality evaluation framework, wherein the framework specifically comprises the following three evaluation indexes:
the coupling strength index is used for evaluating whether a teacher establishes a bidirectional teacher-student coupling relation through feedback and the number of the teacher-student coupling relation;
the connection frequency index is used for evaluating the frequency of providing feedback for students by teachers;
and the timely degree index is used for evaluating the time interval for providing feedback after the teacher receives the student response.
3. The method for evaluating the quality of the combination of teachers and students based on the feedback information of the online teaching according to claim 1, wherein the specific process for establishing the comprehensive evaluation algorithm in the step (3) is as follows:
(3-1) calculating the score of the evaluation index, establishing a Matrix of the characteristic values according to the characteristic values of the coupling strength, the coupling frequency and the degree in time, and calculating the score e of each evaluation index 1 ，e 2 ，e 3 ；
Wherein C is 1 (s m ) Representing the characteristic value of the coupling strength of a teacher and an mth student, C 2 (s m ) Representing the characteristic value of the coupling frequency of the teacher and the mth student, C 3 (s m ) Indicating the characteristic value of the degree of timeliness of teachers and mth students, e 1 Indicating a bond strength evaluation index score, e 2 Indicating a score of the coupling frequency evaluation index, e 3 A score representing a timely degree evaluation index;
(3-2) measuring and calculating a comprehensive evaluation score, and processing a characteristic value Matrix by adopting an entropy method to obtain each evaluation index weight w i ＝{w 1 ，w 2 ，w 3 -a }; processing the evaluation index score e by using a linear weighting method 1 ，e 2 ，e 3 And weight w 1 ，w 2 ，w 3 The comprehensive evaluation value score_total is calculated.
4. The method for evaluating the quality of the combination of teachers and students based on the feedback information of online teaching according to claim 1, wherein the specific process of generating the visual image in the step (4) is as follows:
(4-1) converting the evaluation grades, establishing a grade demarcation scheme aiming at a percentile mechanism of the evaluation scores, dividing the [0,100] intervals into K interval composition evaluation grade sets on average, and determining corresponding evaluation grades according to the evaluation scores score_total;
(4-2) generating a visual image, processing the evaluation score and the evaluation grade data by using the radar chart and the bar chart, and generating a visual image of the connection quality evaluation result by combining the basic information of the teacher.
5. A teacher-student connection quality evaluation system based on online teaching feedback information, which is characterized by being used for realizing the teacher-student connection quality evaluation method in any one of claims 1-4, comprising:
the evaluation frame module is used for constructing a teacher-student connection quality evaluation frame, and comprises three evaluation indexes of connection strength, connection frequency and timely degree;
the basic information module is used for setting basic information data of teachers and students, including names, sexes and ages of the teachers and students;
the data mining module is used for collecting and mining teacher-student interaction behavior log data, and comprises a behavior sender, a behavior receiver and behavior generation time information;
the feature processing module is used for processing the interactive behavior information of teachers and students according to a teacher-student connection feature processing algorithm to generate connection strength, connection frequency and timely degree features;
the index weight measuring and calculating module is used for calculating an evaluation index weight value according to the characteristic data;
the evaluation result calculation module is used for calculating each evaluation index score and the comprehensive evaluation score;
the evaluation grade conversion module is used for setting an evaluation grade set and converting the comprehensive evaluation score into a corresponding evaluation grade;
and the image generation module is used for visually processing the basic information of the teacher, the evaluation score and the evaluation grade data and generating an evaluation result visual image.
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