Feedback teaching evaluation method and system based on learning condition cloud data

Abstract

The invention discloses a feedback teaching evaluation method and system based on learning condition cloud data, and relates to the technical field of teaching quality feedback, and the method comprises the steps: collecting the experiment process record data of students, and evaluating the experiment synchronization degree based on the experiment process record data; collecting student experiment process videos, judging wrong experiment actions, and evaluating experiment accuracy based on the wrong experiment actions; student experiment reports are collected, experiment keywords are extracted, and the experiment understanding degree is evaluated based on the experiment keywords; evaluating the experiment teaching quality based on the experiment synchronization degree, the experiment accuracy degree and the experiment understanding degree; the teaching condition of the teacher is fed back based on the experiment teaching quality; the experiment synchronization degree, accuracy and understanding degree are judged based on the learning condition cloud data, the teaching quality is analyzed in a multi-level mode, the teaching evaluation accuracy can be improved, the teaching condition can be fed back in time, and the teaching quality can be improved for teachers.

Description

Technical Field

[0001] The present invention relates to the technical field of teaching quality feedback, and in particular to a feedback teaching evaluation method and system based on learning situation cloud data. Background Art

[0002] Experimental courses refer to courses in which students learn to use certain instruments, equipment, materials and methods under the guidance of teachers to observe, measure, process and analyze data on certain specific issues, and draw or verify certain scientific conclusions. The purpose is to cultivate students' skills in using experimental methods to observe and understand various motion phenomena, and to study and explore their motion laws. Since experimental courses are dynamic, students' knowledge levels, hands-on abilities and experimental progress vary, so teachers' control over the teaching of experimental courses depends more on their teaching experience. Most existing technologies evaluate experimental teaching through students' classroom participation and experimental results. It is impossible to analyze whether students have made consistent progress and mastered knowledge points during the experiment based on the learning cloud data, resulting in the inability to accurately analyze the teaching quality by comprehensively analyzing the synchronization, accuracy and understanding of the experiment, which leads to low accuracy of teaching evaluation and inability to timely feedback the teaching situation. In summary, how to achieve comprehensive experimental synchronization, accuracy and comprehension to accurately analyze teaching quality is a technical problem to be solved in this field. In order to solve this technical problem, the present invention provides a feedback teaching evaluation method and system based on learning situation cloud data. Summary of the invention

[0003] In view of this, the purpose of the present invention is to provide a feedback teaching evaluation method and system based on learning situation cloud data. The present invention collects students' experimental process record data, and evaluates the degree of experimental synchronization based on the experimental process record data; collects students' experimental process videos and judges incorrect experimental actions, and evaluates the accuracy of the experiment based on the incorrect experimental actions; collects students' experimental reports and extracts experimental keywords, and evaluates the degree of experimental understanding based on the experimental keywords; evaluates the quality of experimental teaching based on the degree of experimental synchronization, experimental accuracy and experimental understanding; and provides feedback on the teaching situation of teachers based on the quality of experimental teaching; the present invention judges the synchronization, accuracy and understanding of the experiment based on the learning situation cloud data, analyzes the teaching quality at multiple levels, helps to improve the accuracy of teaching evaluation, and provides timely feedback on the teaching situation, which helps teachers improve the quality of teaching.

[0004] To achieve the above object, the present invention provides the following technical solutions: A feedback teaching evaluation method based on learning situation cloud data includes the following specific steps: S1. Collect students’ experimental process record data and evaluate the degree of experimental synchronization based on the experimental process record data; S2, collect videos of students’ experimental process and judge incorrect experimental actions, and evaluate the accuracy of the experiment based on incorrect experimental actions; S3, collect students’ experimental reports and extract experimental keywords, and evaluate the degree of experimental understanding based on experimental keywords; S4. Evaluate the quality of experimental teaching based on experimental synchronization, experimental accuracy and experimental understanding; S5. Provide feedback to teachers on their teaching situation based on the quality of experimental teaching.

[0005] Specifically, S1 includes the following specific steps: S11, collecting students' experimental process record data from the cloud platform, wherein the experimental process record data includes reactant temperature, reactant pH value and recording time; S12, the reactant temperature, the reactant pH value and the recording time are introduced into the experimental synchronization evaluation value calculation formula to calculate the experimental synchronization evaluation value, and the experimental synchronization evaluation value calculation formula is: ; in, represents the exponential function with real number e as base, Indicates the number of recorded times. represents the i-th record time, represents the i-th standard recording time, represents the reactant temperature factor, Indicates the duration of the experiment. represents the temperature of the reactants at time t, represents the standard temperature at time t, represents the time integral, represents the pH factor of the reactants, , represents the pH value of the reactants at time t, represents the standard pH value at time t, represents the deviation between the ith recording time and the ith standard recording time, represents the deviation of the reactant temperature at time t from the standard temperature at time t, It represents the deviation of the pH value of the reactant at time t from the standard pH value at time t.

[0006] Specifically, S2 includes the following specific steps: S21. Collect the student's experimental process video from the cloud platform, and judge the wrong experimental action according to the experimental process video. The calculation formula of the image pixel center point of the wrong experimental action is: ; in, The center point of the image pixel representing the wrong experimental action, Image feature points representing incorrect experimental actions, Represents the horizontal coordinate of the pixel point, Indicates the vertical coordinate of the pixel point, represents the division coefficient of the erroneous experimental action, Indicates the difference level of corner point screening of wrong experimental actions, Indicates the level of corner point screening matching template for error experimental action; S22, importing the center point of the image pixel of the erroneous experimental action into the experimental accuracy evaluation value calculation formula to calculate the experimental accuracy evaluation value, the experimental accuracy evaluation value calculation formula is: ; in, Indicates the number of wrong experimental actions, represents the level of corner point matching template for the j-th wrong experimental action, The horizontal coordinate of the center point of the image pixel representing the jth wrong experimental action, The vertical coordinate of the center point of the image pixel representing the jth incorrect experimental action, represents the horizontal coordinate of the standard experimental action corresponding to the j-th incorrect experimental action, represents the ordinate of the standard experimental action corresponding to the jth incorrect experimental action, It represents the error distance between the jth incorrect experimental action and the corresponding standard experimental action.

[0007] Specifically, S3 includes the following specific steps: S31, collecting student experimental reports from the cloud platform and importing them into the experimental word importance calculation formula to calculate the experimental word importance, the experimental word importance calculation formula is: ; in, represents the number of occurrences of word w in the experimental report d, Expressive words is the word extracted from the experimental report d, Expressive words The number of occurrences in the lab report d, represents the total number of words in the experimental report d, represents the logarithm with base 10, Indicates the total number of experimental reports. represents the number of experimental reports containing word w, represents the frequency of word w in the experimental report d, represents the inverse document frequency of word w, Indicates the importance of word w in the experimental report d; S32, comparing the experimental word importance with a preset experimental word importance threshold, extracting words corresponding to the experimental word importance exceeding the experimental word importance threshold as experimental keywords, outputting the extracted experimental keywords in the form of an experimental keyword set, and outputting the preset standard keywords in the form of a standard keyword set; S33, introducing the experimental keyword set and the standard keyword set into the experimental comprehension evaluation value calculation formula to calculate the experimental comprehension evaluation value, the experimental comprehension evaluation value calculation formula is: ; in, Represents a set of experimental keywords. Represents a set of standard keywords, Represents the number of elements in the intersection of sets A and B, Represents the number of elements in the union of sets A and B.

[0008] Specifically, S4 includes the following specific steps: The experimental synchronization evaluation value, the experimental accuracy evaluation value and the experimental understanding evaluation value are introduced into the teaching quality evaluation value calculation formula to calculate the teaching quality evaluation value. The teaching quality evaluation value calculation formula is: ; in, represents the synchronization weight, represents the accuracy weight, represents the comprehension weight, .

[0009] Specifically, S5 includes the following specific steps: Compare the teaching quality assessment value with the teaching quality expectation value; If the teaching quality evaluation value is greater than or equal to the teaching quality expectation value, the teaching is judged to be normal; If the teaching quality evaluation value is less than the teaching quality expectation value, the teaching is judged to be abnormal and feedback is given to the teacher on the cloud platform.

[0010] A feedback teaching evaluation system based on learning situation cloud data is used to implement a feedback teaching evaluation method based on learning situation cloud data, including a data acquisition module, an image judgment module, a synchronization evaluation module, an accuracy evaluation module, a comprehension evaluation module, a teaching quality evaluation module and a feedback module; Specifically, the data acquisition module is used to collect student experimental process record data and student experimental reports from the cloud platform; The image judgment module is used to collect students' experimental process videos from the cloud platform and judge incorrect experimental actions based on the experimental process videos; The synchronization evaluation module is used to import the reactant temperature, the reactant pH value and the recording time into the experimental synchronization evaluation value calculation formula to calculate the experimental synchronization evaluation value; The accuracy evaluation module is used to import the image pixel center point of the erroneous experimental action into the experimental accuracy evaluation value calculation formula to calculate the experimental accuracy evaluation value; The comprehension evaluation module is used to import the experimental keyword set and the standard keyword set into the experimental comprehension evaluation value calculation formula to calculate the experimental comprehension evaluation value; The teaching quality evaluation module is used to import the experimental synchronization evaluation value, the experimental accuracy evaluation value and the experimental understanding evaluation value into the teaching quality evaluation value calculation formula to calculate the teaching quality evaluation value; The feedback module is used to compare the teaching quality evaluation value with the teaching quality expectation value. If the teaching quality evaluation value is greater than or equal to the teaching quality expectation value, the teaching is judged to be normal; if the teaching quality evaluation value is less than the teaching quality expectation value, the teaching is judged to be abnormal and feedback is given to the teacher on the cloud platform.

[0011] The present invention provides an electronic device, comprising: Memory, used to store computer programs; The processor is used to execute the computer program to implement the steps of the above-mentioned feedback teaching evaluation method based on learning situation cloud data.

[0012] The present invention provides a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the steps of the above-mentioned feedback teaching evaluation method based on learning situation cloud data are implemented.

[0013] It can be seen that the present invention collects students' experimental process record data, and evaluates the degree of experimental synchronization based on the experimental process record data; collects students' experimental process videos and judges erroneous experimental actions, and evaluates the accuracy of the experiment based on the erroneous experimental actions; collects students' experimental reports and extracts experimental keywords, and evaluates the degree of experimental understanding based on the experimental keywords; evaluates the quality of experimental teaching based on the degree of experimental synchronization, experimental accuracy and experimental understanding; and provides feedback on the teaching situation of teachers based on the quality of experimental teaching; the present invention judges the synchronization, accuracy and understanding of the experiment based on the learning situation cloud data, analyzes the teaching quality at multiple levels, helps to improve the accuracy of teaching evaluation, and provides timely feedback on the teaching situation, which helps teachers improve the teaching quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0015] Figure 1 This is a flow chart of a feedback teaching evaluation method based on learning situation cloud data of the present invention; Figure 2 This is a schematic diagram of the cloud platform scenario of the present invention; Figure 3 This is a schematic diagram of the overall framework of a feedback teaching evaluation system based on learning situation cloud data in the present invention; Figure 4 The figure is a schematic diagram of an electronic device framework of the present invention. DETAILED DESCRIPTION

[0016] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0017] First, refer to Figure 1 As shown, the present invention provides a feedback teaching evaluation method based on learning situation cloud data, which includes the following specific steps: S1. Collect students’ experimental process record data and evaluate the degree of experimental synchronization based on the experimental process record data; In this embodiment, S1 includes the following specific steps: S11. Collecting students' experimental process record data from the cloud platform, the experimental process record data including reactant temperature, reactant pH value and recording time; It should be noted that in this embodiment, the experimental process data is recorded for each step at a set frequency (for example, every minute, every hour, etc.); the reactant temperature affects the chemical reaction rate, solubility, state of matter and biological activity, etc., and the reactant temperature data is measured by a thermometer; the reactant pH value affects the direction and rate of the chemical reaction, etc., and the reactant pH value is measured by a pH meter; the time reaction experiment process records the changing trends between variables, and the recording time is manually input by students or automatically retrieved by the cloud platform.

[0018] S12, the reactant temperature, the reactant pH value and the recording time are introduced into the experimental synchronization evaluation value calculation formula to calculate the experimental synchronization evaluation value, and the experimental synchronization evaluation value calculation formula is: ; in, represents the exponential function with real number e as base, Indicates the number of recorded times. represents the i-th record time, represents the i-th standard recording time, represents the reactant temperature factor, Indicates the duration of the experiment. represents the temperature of the reactants at time t, represents the standard temperature at time t, represents the time integral, represents the pH factor of the reactants, , represents the pH value of the reactants at time t, represents the standard pH value at time t, represents the deviation between the ith recording time and the ith standard recording time, represents the deviation of the reactant temperature at time t from the standard temperature at time t, It represents the deviation of the pH value of the reactant at time t from the standard pH value at time t. , , The larger the value is, the greater the deviation between the experimental process recorded data and the standard experimental data is, and the lower the experimental synchronization evaluation value is.

[0019] It should be noted that the steps for obtaining the standard recording time, standard temperature and standard pH value in this embodiment are: invite ten senior teachers to conduct experimental demonstrations and record the reactant temperature and reactant pH value at different time points in different steps. The corresponding time point is the standard recording time, and the average values ​​of the reactant temperature and reactant pH value are taken as the standard temperature and standard pH value, respectively.

[0020] S2, collect videos of students’ experimental process and judge incorrect experimental actions, and evaluate the accuracy of the experiment based on incorrect experimental actions; In this embodiment, S2 includes the following specific steps: S21. Collect the students' experimental process video from the cloud platform, and judge the wrong experimental action according to the experimental process video. The calculation formula of the image pixel center point of the wrong experimental action is: ; in, The center point of the image pixel representing the wrong experimental action, Image feature points representing incorrect experimental actions, Represents the horizontal coordinate of the pixel point, Indicates the vertical coordinate of the pixel point, represents the division coefficient of the erroneous experimental action, Indicates the difference level of corner point screening of wrong experimental actions, Indicates the level of corner point screening matching template for error experimental action; It should be noted that the image feature points are points where the grayscale value of the image changes dramatically during image processing or points with large curvature on the edge of the image (i.e., the intersection of two edges); the segmentation coefficient of the wrong experimental action is the ratio of the wrong experimental action area to the entire image area; the difference level of the wrong experimental action corner point screening is the difference level of the corner point screened out during the experimental process video. The corner points of the incorrect experimental actions are identified, and the error of the incorrect experimental actions can be judged by evaluating the difference of the corner points of the incorrect experimental actions. Among them, the corner point screening uses the corner point detection algorithm (for example, using the Shi-Tomasi algorithm, Harris corner point detection or SIFT, etc.) to describe the features of the detected corner points (for example, using SIFT, SURF or ORB, etc.), invite senior teachers to record standard experimental action videos, train the standard experimental action model and classify the corner point features, identify the incorrect experimental actions, and calculate the similarity between the corner point features of the incorrect experimental actions and the corner point features of the standard experimental actions (for example, using Euclidean distance, cosine similarity, etc.). According to the similarity, a corresponding difference level is assigned to each incorrect experimental action. The larger the difference level, the more serious the error of the incorrect experimental action; the matching template level of the incorrect experimental action corner point screening is to match the corner points of the incorrect experimental action with the standard experimental action during the experiment, and select the best match according to the matching degree (for example, the distance threshold) and obtain the corresponding experimental action level (that is, the importance of the action or the step to the entire experiment).

[0021] S22, importing the center point of the image pixel of the erroneous experimental action into the experimental accuracy evaluation value calculation formula to calculate the experimental accuracy evaluation value, the experimental accuracy evaluation value calculation formula is: ; in, Indicates the number of wrong experimental actions, represents the level of corner point matching template for the j-th wrong experimental action, The horizontal coordinate of the center point of the image pixel representing the jth wrong experimental action, The vertical coordinate of the center point of the image pixel representing the jth incorrect experimental action, represents the horizontal coordinate of the standard experimental action corresponding to the j-th incorrect experimental action, represents the ordinate of the standard experimental action corresponding to the jth incorrect experimental action, It represents the error distance between the jth erroneous experimental action and the corresponding standard experimental action. The larger the error distance and the higher the level of the erroneous experimental action corner point screening matching template, the lower the experimental accuracy evaluation value.

[0022] S3, collect students’ experimental reports and extract experimental keywords, and evaluate the degree of experimental understanding based on experimental keywords; In this embodiment, S3 includes the following specific steps: S31. Collect student experiment reports from the cloud platform and import them into the experiment word importance calculation formula to calculate the experiment word importance. The experiment word importance calculation formula is: ; in, represents the number of occurrences of word w in the experimental report d, Expressive words is the word extracted from the experimental report d, Expressive words The number of occurrences in the lab report d, represents the total number of words in the experimental report d, represents the logarithm with base 10, Indicates the total number of experimental reports. represents the number of experimental reports containing word w, represents the frequency of word w in the experimental report d, represents the inverse document frequency of word w, Indicates the importance of word w in the experimental report d. When a word appears frequently in the experimental report and rarely appears in other experimental reports, The value will also be high when a word appears frequently in the lab reports but is common in all lab reports. The value is low; S32, comparing the experimental word importance with a preset experimental word importance threshold, extracting words corresponding to the experimental word importance exceeding the experimental word importance threshold as experimental keywords, outputting the extracted experimental keywords in the form of an experimental keyword set, and outputting the preset standard keywords in the form of a standard keyword set; It should be noted that the steps for obtaining the importance threshold of the experimental words in this embodiment are: the teacher performs statistical analysis on the importance scores of the words and can select different percentages to set the thresholds according to the distribution; The steps for obtaining standard keywords are as follows: invite ten senior teachers to discuss and write an experimental report after conducting an experimental demonstration, and extract keywords from the experimental report as standard keywords.

[0023] S33, the experimental keyword set and the standard keyword set are introduced into the experimental comprehension evaluation value calculation formula to calculate the experimental comprehension evaluation value, and the experimental comprehension evaluation value calculation formula is: ; in, Represents a set of experimental keywords. Represents a set of standard keywords, Represents the number of elements in the intersection of sets A and B, represents the number of elements in the union of sets A and B. The larger the value of , the more keywords the experimental keyword set and the standard keyword set overlap, that is, the higher the experimental comprehension evaluation value is.

[0024] S4. Evaluate the quality of experimental teaching based on experimental synchronization, experimental accuracy and experimental understanding; Reference Figure 2 As shown, the cloud platform scenario of this embodiment is: obtaining experimental process record data, experimental reports and experimental process videos from the cloud platform, evaluating the experimental synchronization evaluation value according to the experimental process record data through the evaluation component, evaluating the experimental comprehension evaluation value according to the experimental report through the evaluation component, and evaluating the experimental accuracy evaluation value according to the experimental process video through the evaluation component. The cloud platform evaluates the teaching quality and provides feedback based on the experimental synchronization evaluation value, the experimental comprehension evaluation value and the experimental accuracy evaluation value.

[0025] In this embodiment, S4 includes the following specific steps: The experimental synchronization evaluation value, experimental accuracy evaluation value and experimental understanding evaluation value are imported into the teaching quality evaluation value calculation formula to calculate the teaching quality evaluation value. The teaching quality evaluation value calculation formula is: ; in, represents the synchronization weight, represents the accuracy weight, represents the comprehension weight, .

[0026] It should be noted that the reactant temperature factor , pH factor of reactants , synchronization weight , accuracy weight , understanding weight The acquisition steps are as follows: invite ten classes to conduct experiments respectively, collect students' experimental process record data to evaluate the degree of experimental synchronization; collect students' experimental process videos to evaluate the degree of experimental accuracy; collect students' experimental reports to evaluate the degree of experimental understanding; evaluate the experimental teaching quality based on the degree of experimental synchronization, experimental accuracy and experimental understanding, invite ten senior teachers to analyze the teaching quality based on the experimental process and experimental reports of these ten classes respectively, import the evaluation results and the teacher's analysis results into the fitting software (such as MATLAB) for fitting, and the reactant temperature factor corresponding to the highest similarity between the evaluation results and the teacher's analysis results , pH factor of reactants , synchronization weight , accuracy weight , understanding weight As the value of this embodiment.

[0027] S5. Provide feedback to teachers on their teaching situation based on the quality of experimental teaching.

[0028] In this embodiment, S5 includes the following specific steps: Compare the teaching quality assessment value with the teaching quality expectation value; If the teaching quality evaluation value is greater than or equal to the teaching quality expectation value, the teaching is judged to be normal; If the teaching quality evaluation value is less than the teaching quality expectation value, the teaching is judged to be abnormal and feedback is given to the teacher on the cloud platform.

[0029] It should be noted that the teaching quality expectation value can be set by the teacher in advance before the experimental class based on teaching experience and lesson preparation, or the average value can be taken based on the teacher's historical teaching quality evaluation as the teaching quality expectation value of this embodiment.

[0030] Second, refer to Figure 3 As shown, this embodiment provides a feedback teaching evaluation system based on learning situation cloud data, which is used to implement a feedback teaching evaluation method based on learning situation cloud data, including a data acquisition module, an image judgment module, a synchronization evaluation module, an accuracy evaluation module, a comprehension evaluation module, a teaching quality evaluation module and a feedback module.

[0031] In this embodiment, the data acquisition module is used to collect student experimental process record data and student experimental reports from the cloud platform; The image judgment module is used to collect students' experimental process videos from the cloud platform and judge incorrect experimental actions based on the experimental process videos; The synchronization evaluation module is used to import the reactant temperature, the reactant pH value and the recording time into the experimental synchronization evaluation value calculation formula to calculate the experimental synchronization evaluation value; The accuracy evaluation module is used to import the center point of the image pixel of the erroneous experimental action into the experimental accuracy evaluation value calculation formula to calculate the experimental accuracy evaluation value; The comprehension evaluation module is used to import the experimental keyword set and the standard keyword set into the experimental comprehension evaluation value calculation formula to calculate the experimental comprehension evaluation value; The teaching quality evaluation module is used to import the experimental synchronization evaluation value, the experimental accuracy evaluation value and the experimental understanding evaluation value into the teaching quality evaluation value calculation formula to calculate the teaching quality evaluation value; The feedback module is used to compare the teaching quality evaluation value with the teaching quality expectation value. If the teaching quality evaluation value is greater than or equal to the teaching quality expectation value, the teaching is judged to be normal; if the teaching quality evaluation value is less than the teaching quality expectation value, the teaching is judged to be abnormal and feedback is given to the teacher on the cloud platform.

[0032] Thirdly, refer to Figure 4 As shown, an electronic device provided in this embodiment includes a memory and a processor, wherein the memory is used to store a computer program, and the computer program is loaded and executed by the processor to implement the relevant steps in the above-mentioned feedback teaching evaluation method based on learning situation cloud data.

[0033] Among them, the processor may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor can be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor may also include a main processor and a coprocessor. The main processor is a processor for processing data in an awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor may be integrated with a GPU (Graphics Processing Unit), and the GPU is responsible for rendering and drawing the content to be displayed on the display screen.

[0034] In addition, the memory as a carrier for resource storage can be a read-only memory, a random access memory, a disk or an optical disk, etc., and the storage method can be temporary storage or permanent storage.

[0035] In a fourth aspect, this embodiment provides a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the above-mentioned feedback teaching and evaluation method based on learning situation cloud data is implemented. For the specific steps of the method, reference can be made to the corresponding content disclosed in the above-mentioned embodiment, which will not be repeated here.

[0036] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referenced to the method part description.

[0037] Finally, it should be noted that, in the present invention, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0038] The scheme provided by the present invention is introduced in detail above. The present invention applies specific examples to illustrate the principle and implementation mode of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation mode and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A feedback teaching evaluation method based on learning situation cloud data, characterized in that: The specific steps include: S1. Collect students’ experimental process record data and evaluate the degree of experimental synchronization based on the experimental process record data; S2, collect videos of students’ experimental process and judge incorrect experimental actions, and evaluate the accuracy of the experiment based on incorrect experimental actions; S3, collect students’ experimental reports and extract experimental keywords, and evaluate the degree of experimental understanding based on experimental keywords; S4. Evaluate the quality of experimental teaching based on experimental synchronization, experimental accuracy and experimental understanding; S5. Provide feedback to teachers on their teaching situation based on the quality of experimental teaching.

2. A feedback teaching evaluation method based on learning situation cloud data as claimed in claim 1, characterized in that: The S1 comprises the following specific steps: S11, collecting students' experimental process record data from the cloud platform, wherein the experimental process record data includes reactant temperature, reactant pH value and recording time; S12, the reactant temperature, the reactant pH value and the recording time are introduced into the experimental synchronization evaluation value calculation formula to calculate the experimental synchronization evaluation value, and the experimental synchronization evaluation value calculation formula is: ； in, represents the exponential function with real number e as base, Indicates the number of recorded times. represents the i-th record time, represents the i-th standard recording time, represents the reactant temperature factor, Indicates the duration of the experiment. represents the temperature of the reactants at time t, represents the standard temperature at time t, represents the time integral, represents the pH factor of the reactants, , represents the pH value of the reactants at time t, Represents the standard pH value at time t.

3. A feedback teaching evaluation method based on learning situation cloud data as claimed in claim 2, characterized in that: The S2 comprises the following specific steps: S21. Collect the student's experimental process video from the cloud platform, and judge the wrong experimental action according to the experimental process video. The calculation formula of the image pixel center point of the wrong experimental action is: ； in, The center point of the image pixel representing the wrong experimental action, Image feature points representing incorrect experimental actions, Represents the horizontal coordinate of the pixel point, Represents the vertical coordinate of the pixel point, represents the division coefficient of the erroneous experimental action, Indicates the difference level of corner point screening of wrong experimental actions, Indicates the level of corner point screening matching template for error experimental action; S22, importing the center point of the image pixel of the erroneous experimental action into the experimental accuracy evaluation value calculation formula to calculate the experimental accuracy evaluation value, the experimental accuracy evaluation value calculation formula is: ； in, Indicates the number of wrong experimental actions, represents the level of corner point matching template for the j-th wrong experimental action, The horizontal coordinate of the center point of the image pixel representing the jth wrong experimental action, The vertical coordinate of the center point of the image pixel representing the jth incorrect experimental action, represents the horizontal coordinate of the standard experimental action corresponding to the j-th incorrect experimental action, Represents the ordinate of the standard experimental action corresponding to the j-th incorrect experimental action.

4. A feedback teaching evaluation method based on learning situation cloud data as claimed in claim 3, characterized in that: The S3 includes the following specific steps: S31, collecting student experimental reports from the cloud platform and importing them into the experimental word importance calculation formula to calculate the experimental word importance, the experimental word importance calculation formula is: ； in, represents the number of occurrences of word w in the experimental report d, Expressive words is the word extracted from the experimental report d, Expressive words The number of occurrences in the lab report d, represents the total number of words in the experimental report d, represents the logarithm with base 10, Indicates the total number of experimental reports. represents the number of experimental reports containing word w; S32, comparing the experimental word importance with a preset experimental word importance threshold, extracting words corresponding to the experimental word importance exceeding the experimental word importance threshold as experimental keywords, outputting the extracted experimental keywords in the form of an experimental keyword set, and outputting the preset standard keywords in the form of a standard keyword set; S33, introducing the experimental keyword set and the standard keyword set into the experimental comprehension evaluation value calculation formula to calculate the experimental comprehension evaluation value, the experimental comprehension evaluation value calculation formula is: ； in, Represents a set of experimental keywords. Represents a set of standard keywords, Represents the number of elements in the intersection of sets A and B, Represents the number of elements in the union of sets A and B.

5. A feedback teaching evaluation method based on learning situation cloud data as claimed in claim 4, characterized in that: The S4 comprises the following specific steps: The experimental synchronization evaluation value, the experimental accuracy evaluation value and the experimental understanding evaluation value are introduced into the teaching quality evaluation value calculation formula to calculate the teaching quality evaluation value. The teaching quality evaluation value calculation formula is: ； in, represents the synchronization weight, represents the accuracy weight, represents the comprehension weight, .

6. A feedback teaching evaluation method based on learning situation cloud data as claimed in claim 5, characterized in that: The S5 comprises the following specific steps: Compare the teaching quality assessment value with the teaching quality expectation value; If the teaching quality evaluation value is greater than or equal to the teaching quality expectation value, the teaching is judged to be normal; If the teaching quality evaluation value is less than the teaching quality expectation value, the teaching is judged to be abnormal and feedback is given to the teacher on the cloud platform.

7. A feedback teaching evaluation system based on learning situation cloud data, used to implement the feedback teaching evaluation method based on learning situation cloud data as claimed in any one of claims 1 to 6, characterized in that: It includes data acquisition module, image judgment module, synchronization evaluation module, accuracy evaluation module, understanding evaluation module, teaching quality evaluation module and feedback module; The data acquisition module is used to collect student experimental process record data and student experimental reports from the cloud platform; The image judgment module is used to collect students' experimental process videos from the cloud platform and judge incorrect experimental actions based on the experimental process videos; The synchronization evaluation module is used to import the reactant temperature, the reactant pH value and the recording time into the experimental synchronization evaluation value calculation formula to calculate the experimental synchronization evaluation value; The accuracy evaluation module is used to import the image pixel center point of the erroneous experimental action into the experimental accuracy evaluation value calculation formula to calculate the experimental accuracy evaluation value; The comprehension evaluation module is used to import the experimental keyword set and the standard keyword set into the experimental comprehension evaluation value calculation formula to calculate the experimental comprehension evaluation value; The teaching quality evaluation module is used to import the experimental synchronization evaluation value, the experimental accuracy evaluation value and the experimental understanding evaluation value into the teaching quality evaluation value calculation formula to calculate the teaching quality evaluation value; The feedback module is used to compare the teaching quality evaluation value with the teaching quality expectation value. If the teaching quality evaluation value is greater than or equal to the teaching quality expectation value, the teaching is judged to be normal; if the teaching quality evaluation value is less than the teaching quality expectation value, the teaching is judged to be abnormal and feedback is given to the teacher on the cloud platform.

8. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor is used to execute the computer program to implement the steps of a feedback teaching evaluation method based on learning situation cloud data as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: Used to store computer programs; wherein, when the computer program is executed by the processor, the steps of a feedback teaching and evaluation method based on learning situation cloud data as described in any one of claims 1 to 6 are implemented.

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