CN112990735A - Classroom quality feedback evaluation method and device based on mathematical teaching - Google Patents
Classroom quality feedback evaluation method and device based on mathematical teaching Download PDFInfo
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Abstract
The invention relates to the technical field of computers, in particular to a classroom quality feedback evaluation method and device based on mathematical teaching, wherein the method comprises the steps of acquiring the current actual facial expression data of students on a mathematical teaching classroom in real time, respectively establishing a personal facial expression database according to the number of the current students, acquiring the current classroom actual test result data of the students after the mathematical teaching classroom, and calculating and generating a teaching quality feedback actual value according to the current classroom actual test result data and each current actual facial expression data in the personal facial expression database of the students corresponding to the current classroom actual test result data and a preset weighting calculation algorithm; generating a classroom quality feedback evaluation report; and generating a feedback report display interface according to the generated classroom quality feedback evaluation report. The invention combines the corresponding weighted calculation algorithm to calculate and obtain the teaching quality feedback actual value reflecting the classroom quality, and improves the accuracy of the teaching quality feedback.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a classroom quality feedback evaluation method and device based on mathematical teaching.
Background
Mathematics is a general means for human beings to strictly describe the abstract structure and mode of things, can be applied to any problem in the real world, and all mathematical objects are artificially defined in nature. In this sense, mathematics belongs to formal science, not natural science. Different mathematicians and philosophies have a range of views on the exact scope and definition of mathematics.
At present, there are many methods in the market for mathematical education feedback, for example, in the patent of invention with application number CN201911234736.4, a teaching quality online feedback method, apparatus and teaching server are disclosed, and the method includes: receiving a teaching quality query request packet sent by a parent terminal, wherein the teaching quality query request packet carries first parent identity information; inquiring second parent identity information consistent with the first parent identity information in a preset teaching quality library, and calling a teaching quality feedback map associated with the second parent identity information from the preset teaching quality library when the second parent identity information is inquired; packaging the called teaching quality feedback map into a response packet; feeding back the response packet to the parent terminal;
although the teaching feedback method focuses on online feedback of teaching quality evaluation results for teachers and students, the operation capability of online feedback of teaching quality evaluation results for parents is enhanced, and audience groups of teaching quality evaluation results are expanded, compared with the existing teaching quality feedback method, the teaching feedback method has the defects that the feedback is inaccurate.
Therefore, the technical problem of low accuracy of the classroom quality feedback evaluation method for mathematical education in the market can be seen.
Disclosure of Invention
Therefore, it is necessary to provide a classroom quality feedback evaluation method and device based on mathematical education, which can improve accuracy of teaching feedback quality, in order to solve the above technical problems.
The technical scheme of the invention is as follows:
a classroom quality feedback evaluation method based on mathematical education, the method comprising:
step S100: acquiring current actual facial expression data of students on a mathematical teaching class in real time, and respectively establishing personal facial expression databases according to the number of the current students, wherein one student has one personal facial expression database, and each personal facial expression database stores the current actual facial expression data corresponding to each time point;
step S200: acquiring current classroom actual test result data of students after a mathematical teaching classroom, wherein one student corresponds to one current classroom actual test result data;
step S300: calculating and generating a teaching quality feedback actual value according to the current classroom actual test result data and each current actual facial expression data in the personal facial expression database of the students corresponding to the current classroom actual test result data according to a preset weighting calculation algorithm;
step S400: comparing the generated teaching quality feedback actual value with a preset standard high-quality teaching feedback value, and generating a classroom quality feedback evaluation report;
step S500: and generating a feedback report display interface according to the generated classroom quality feedback evaluation report, and displaying the classroom quality feedback evaluation report on the feedback report display interface.
Specifically, step S300: calculating and generating a teaching quality feedback actual value according to the current classroom actual test result data and each current actual facial expression data in the personal facial expression database of the students corresponding to the current classroom actual test result data according to a preset weighting calculation algorithm; the method specifically comprises the following steps:
step S310: comparing and analyzing each current classroom actual test result data with standard test result data in a preset standard test result database, and generating a current result actual weighted value of the current classroom actual test result data based on the comparison and analysis result;
step S320: comparing and analyzing each current actual facial expression data in the personal facial expression database of the student corresponding to the current classroom actual test result data with standard facial expression data in a preset standard facial expression database, and generating a current expression joy actual weighted value of the current actual facial expression data based on a comparison and analysis result;
step S330: and calculating and generating a teaching quality feedback actual value according to the generated current achievement actual weighted value and the current expression joy actual weighted value and a preset weighting calculation algorithm.
Specifically, step S330: calculating according to the generated current achievement actual weighted value and the current expression joyful actual weighted value and a preset weighting calculation algorithm and generating a teaching quality feedback actual value; the method specifically comprises the following steps:
step S331: acquiring a preset weighting proportion of the current expression joyful actual weighting value, and recording as a first weighting proportion value;
step S332: acquiring a preset weighting proportion of the current expression joyful actual weighting value, wherein the preset weighting proportion is a second weighting proportion value;
step S333: calculating and generating a teaching quality feedback actual value according to the current achievement actual weighted value, the current expression joy actual weighted value, the first weighted specific gravity value and the second weighted specific gravity value according to a weighted calculation algorithm based on the following formula:
Z＝a*X1+b*Y1；
wherein, Z is the teaching quality feedback actual value, a is the first weighted specific gravity value, X1 is the current achievement actual weighted value, b is the second weighted specific gravity value, Y1 is the current expression joy actual weighted value.
Specifically, step S100: acquiring current actual facial expression data of students on a mathematical teaching class in real time, and respectively establishing personal facial expression databases according to the number of the current students, wherein one student has one personal facial expression database, and each personal facial expression database stores the current actual facial expression data corresponding to each time point; the method specifically comprises the following steps:
step S110: acquiring a current actual distance between each point of the face of each student on the mathematical teaching classroom and a preset position on a blackboard on the mathematical teaching classroom, wherein the face of each student on the mathematical teaching classroom comprises a plurality of actual detection points, and one current actual distance is reserved between each actual detection point and the preset position;
step S120: performing distance combination processing on each current actual distance to generate current actual facial expression data;
step S130: and respectively establishing a personal facial expression database according to the number of the current students.
Specifically, step S110: acquiring a current actual distance between each point of the face of each student on the mathematical teaching classroom and a preset position on a blackboard on the mathematical teaching classroom, wherein the face of each student on the mathematical teaching classroom comprises a plurality of actual detection points, and one current actual distance is reserved between each actual detection point and the preset position; the method also comprises the following steps:
step S101: acquiring a standard distance value between each seat in a mathematical teaching classroom and a preset position on a blackboard in the mathematical teaching classroom;
step S102: detecting whether students take seats on all seats in a mathematical teaching classroom and generating seating detection results, wherein the seating detection results comprise full-member seating and student absence;
step S103: according to the sitting detection result, when a student is absent, student absence reminding information is generated and sent to a preset teacher reminding port, and the student absence reminding information is used for reminding the teacher that the student is absent.
Concretely, classroom quality feedback evaluation device based on mathematical education, the device includes:
the system comprises a facial expression data acquisition module, a time calculation module and a time calculation module, wherein the facial expression data acquisition module is used for acquiring the current actual facial expression data of students on a mathematical teaching class in real time and respectively establishing a personal facial expression database according to the number of the current students, one student has one personal facial expression database, and each personal facial expression database stores the current actual facial expression data corresponding to each time point;
the system comprises a test result data acquisition module, a data processing module and a data processing module, wherein the test result data acquisition module is used for acquiring the current classroom actual test result data of students after a mathematical teaching classroom, and one student corresponds to one current classroom actual test result data;
the weighting calculation module is used for calculating and generating a teaching quality feedback actual value according to the current classroom actual test result data and each current actual facial expression data in the personal facial expression database of the students corresponding to the current classroom actual test result data according to a preset weighting calculation algorithm;
the feedback evaluation report generation module is used for comparing the generated teaching quality feedback actual value with a preset standard high-quality teaching feedback value and generating a classroom quality feedback evaluation report;
and the feedback report display interface display module is used for generating a feedback report display interface according to the generated classroom quality feedback evaluation report and displaying the classroom quality feedback evaluation report on the feedback report display interface.
Specifically, the weighting calculation module further includes:
the comparison analysis module is used for comparing and analyzing the current classroom actual test result data with the standard test result data in a preset standard test result database and generating the current classroom actual test result actual weighted value of the current classroom actual test result data based on the comparison analysis result;
the analysis result generation module is used for carrying out comparison analysis on each current actual facial expression data in the personal facial expression database of the student corresponding to the current classroom actual test result data and the standard facial expression data in the preset standard facial expression database, and generating a current expression joy actual weighted value of the current actual facial expression data based on the comparison analysis result;
the feedback actual value generating module is used for calculating and generating a teaching quality feedback actual value according to the generated current achievement actual weighted value and the current expression joy actual weighted value and a preset weighting calculation algorithm; wherein the feedback actual value generation module further comprises:
the weighted proportion obtaining module is used for obtaining the preset weighted proportion of the current expression joyful actual weighted value and recording the weighted proportion as a first weighted proportion value;
the second weighting obtaining module is used for obtaining the preset weighting proportion of the current expression joyful actual weighting value, and the preset weighting proportion is the second weighting proportion value;
the teaching quality calculating module is used for calculating and generating a teaching quality feedback actual value according to the current achievement actual weighted value, the current expression joy actual weighted value, the first weighted specific gravity value and the second weighted specific gravity value according to a weighted calculation algorithm based on the following formula:
Z＝a*X1+b*Y1；
wherein, Z is the teaching quality feedback actual value, a is the first weighted specific gravity value, X1 is the current achievement actual weighted value, b is the second weighted specific gravity value, Y1 is the current expression joy actual weighted value.
Specifically, the facial expression data acquisition module includes:
the device comprises an actual distance acquisition module, a distance detection module and a distance detection module, wherein the actual distance acquisition module is used for acquiring the current actual distance between each point of the face of each student on the mathematical teaching classroom and a preset position on a blackboard on the mathematical teaching classroom, the face of each student on the mathematical teaching classroom comprises a plurality of actual detection points, and one current actual distance is reserved between each actual detection point and the preset position;
the combination processing generation module is used for performing distance combination processing on each current actual distance and generating current actual facial expression data;
the expression database establishing module is used for respectively establishing a personal facial expression database according to the number of the current students;
the actual distance acquisition module comprises a first distance measurement circuit, the first distance measurement circuit comprises a distance detection chip U5, and the distance detection chip U5 is used for acquiring the current actual distance between each point of the face of each student on the mathematical teaching classroom and the preset position on the blackboard in the mathematical teaching classroom and sending the acquired current actual distance between each point of the face of each student on the mathematical teaching classroom and the preset position on the blackboard in the mathematical teaching classroom to the combined processing generation module;
the combined processing generation module comprises a combined processing circuit, the combined processing circuit comprises a combined processing chip U6, a fourteenth pin of the combined processing chip U6 is connected with a tenth pin of the distance detection chip U5, a fifteenth pin of the combined processing chip U6 is connected with a ninth pin of the distance detection chip U5, and the combined processing chip U6 is used for performing distance combined processing on each current actual distance and generating the current actual facial expression data;
wherein, the facial expression data acquisition module further comprises:
the standard distance value acquisition module is used for acquiring a standard distance value between each seat in the mathematical teaching classroom and a preset position on a blackboard in the mathematical teaching classroom;
the first judgment module is used for detecting whether students take seats on all seats in a mathematical teaching classroom and generating seating detection results, wherein the seating detection results comprise full-member seating and student absence;
the detection result generation module is used for generating student absence reminding information when a student is absent according to the sitting detection result, and sending the student absence reminding information to a preset teacher reminding port, wherein the student absence reminding information is used for reminding the teacher of the absence of the student;
the standard distance value acquisition module comprises four distance detection circuits, the four distance detection circuits comprise distance detection sensors, the distance detection sensors are connected with the combined processing chip U6, the distance detection sensors are used for acquiring standard distance values between preset positions on each seat in a mathematical teaching classroom and a blackboard in the mathematical teaching classroom, and the standard distance values between the preset positions on each seat in the acquired mathematical teaching classroom and the blackboard in the mathematical teaching classroom are sent to the combined processing chip U6, so that the combined processing chip U6 detects whether students take seats on each seat in the mathematical teaching classroom and generates a seating detection result.
A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the classroom quality feedback evaluation method based on mathematical education when executing the computer program.
A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the classroom quality feedback assessment method based on mathematical education.
The invention has the following technical effects:
the classroom quality feedback evaluation method and device based on mathematical teaching sequentially acquire the current actual facial expression data of students on a mathematical teaching class in real time, and respectively establish a personal facial expression database according to the number of the current students, wherein one student has one personal facial expression database, and each personal facial expression database stores the current actual facial expression data corresponding to each time point; acquiring current classroom actual test result data of students after a mathematical teaching classroom, wherein one student corresponds to one current classroom actual test result data; calculating and generating a teaching quality feedback actual value according to the current classroom actual test result data and each current actual facial expression data in the personal facial expression database of the students corresponding to the current classroom actual test result data according to a preset weighting calculation algorithm; comparing the generated teaching quality feedback actual value with a preset standard high-quality teaching feedback value, and generating a classroom quality feedback evaluation report; and generating a feedback report display interface according to the generated classroom quality feedback evaluation report, displaying the classroom quality feedback evaluation report on the feedback report display interface, calculating by combining the data of two aspects of the current actual facial expression data and the current classroom actual test result data and a corresponding weighted calculation algorithm to obtain a teaching quality feedback actual value reflecting the classroom quality, improving the accuracy of teaching quality feedback, and displaying the classroom quality feedback evaluation report on the feedback report display interface to enable a teacher to quickly know classroom quality results.
Drawings
FIG. 1 is a flow chart of a classroom quality feedback evaluation method based on mathematical education in one embodiment;
FIG. 2 is a block diagram of a classroom quality feedback evaluation device based on mathematical education in one embodiment;
FIG. 3 is a schematic circuit diagram of a classroom quality feedback assessment device based on mathematical education in one embodiment;
FIG. 4 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Reference numerals
10. A first ranging circuit; 20. a combination processing circuit; 30. a distance detection circuit.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In one embodiment, as shown in fig. 1, there is provided a classroom quality feedback evaluation method based on mathematical education, the method including:
step S100: acquiring current actual facial expression data of students on a mathematical teaching class in real time, and respectively establishing personal facial expression databases according to the number of the current students, wherein one student has one personal facial expression database, and each personal facial expression database stores the current actual facial expression data corresponding to each time point;
specifically, in this step, the expressions of students in class become important aspects in reflecting teaching quality, so in this step, by obtaining the current actual facial expression data of each student on the mathematical teaching class, simultaneously, respectively establishing a personal facial expression database according to the number of the current students, after establishing the database, one student has one personal facial expression database, and each personal facial expression database stores the current actual facial expression data corresponding to each time point, so that the comparison of the subsequent data is convenient and fast.
Step S200: acquiring current classroom actual test result data of students after a mathematical teaching classroom, wherein one student corresponds to one current classroom actual test result data;
specifically, the hard evaluation of the teaching quality is realized by acquiring the current classroom actual test result data of each student after the mathematics teaching classroom, after all, the teaching quality needs to be reflected by the results, and when the teaching quality is high, the test result is inevitably high, so the current classroom actual test result data is also an important factor for evaluating the teaching quality, and the current classroom actual test result data of each student after the mathematics teaching classroom is acquired in the step.
Step S300: calculating and generating a teaching quality feedback actual value according to the current classroom actual test result data and each current actual facial expression data in the personal facial expression database of the students corresponding to the current classroom actual test result data according to a preset weighting calculation algorithm;
in this step, a teaching quality feedback actual value is calculated and generated according to the current classroom actual test result data and the corresponding current actual facial expression data according to a preset weighting calculation algorithm, the teaching quality feedback actual value is used for reflecting teaching quality, and when the teaching quality feedback actual value is high, classroom teaching quality is high.
Step S400: comparing the generated teaching quality feedback actual value with a preset standard high-quality teaching feedback value, and generating a classroom quality feedback evaluation report;
specifically, the classroom quality feedback evaluation report is used for intuitively reflecting the classroom quality of mathematical education.
Step S500: and generating a feedback report display interface according to the generated classroom quality feedback evaluation report, and displaying the classroom quality feedback evaluation report on the feedback report display interface.
The method comprises the steps of sequentially obtaining current actual facial expression data of students on a mathematical teaching class in real time, and respectively establishing personal facial expression databases according to the number of the current students, wherein one student has one personal facial expression database, and each personal facial expression database stores the current actual facial expression data corresponding to each time point; acquiring current classroom actual test result data of students after a mathematical teaching classroom, wherein one student corresponds to one current classroom actual test result data; calculating and generating a teaching quality feedback actual value according to the current classroom actual test result data and each current actual facial expression data in the personal facial expression database of the students corresponding to the current classroom actual test result data according to a preset weighting calculation algorithm; comparing the generated teaching quality feedback actual value with a preset standard high-quality teaching feedback value, and generating a classroom quality feedback evaluation report; and generating a feedback report display interface according to the generated classroom quality feedback evaluation report, displaying the classroom quality feedback evaluation report on the feedback report display interface, calculating by combining the data of two aspects of the current actual facial expression data and the current classroom actual test result data and a corresponding weighted calculation algorithm to obtain a teaching quality feedback actual value reflecting the classroom quality, improving the accuracy of teaching quality feedback, and displaying the classroom quality feedback evaluation report on the feedback report display interface to enable a teacher to quickly know classroom quality results.
In one embodiment, step S300: calculating and generating a teaching quality feedback actual value according to the current classroom actual test result data and each current actual facial expression data in the personal facial expression database of the students corresponding to the current classroom actual test result data according to a preset weighting calculation algorithm; the method specifically comprises the following steps:
step S310: comparing and analyzing each current classroom actual test result data with standard test result data in a preset standard test result database, and generating a current result actual weighted value of the current classroom actual test result data based on the comparison and analysis result;
in this step, the standard test result data in the standard test result database is preset, each standard test result data is divided into several grades, and each grade corresponds to a different weighted value. If the standard test result data is divided into four grades of ABCD, each grade corresponds to different scores, and each grade corresponds to a weighted value, such as PQGF. And comparing the current classroom actual test result data with each file of the ABCD, and further acquiring a corresponding actual weighted value, namely acquiring the current result actual weighted value.
Step S320: comparing and analyzing each current actual facial expression data in the personal facial expression database of the student corresponding to the current classroom actual test result data with standard facial expression data in a preset standard facial expression database, and generating a current expression joy actual weighted value of the current actual facial expression data based on a comparison and analysis result;
in this step, the standard facial expression data in the preset standard facial expression database is preset, different standard facial expression data represent different emotions of the student, for example, when hearing is serious, the standard facial expression data have serious expressions, when hearing is distracted, the standard facial expression data have distracted expressions, each expression also has a corresponding weighted value, so that the actual expression and the labeled expression are contrastively analyzed, and the current expression joyful actual weighted value of the current actual facial expression data is generated based on the contrastive analysis result.
Step S330: and calculating and generating a teaching quality feedback actual value according to the generated current achievement actual weighted value and the current expression joy actual weighted value and a preset weighting calculation algorithm.
In this step, the generated current achievement actual weighted value and the current expression joy actual weighted value are calculated according to a preset weighting calculation algorithm to generate a teaching quality feedback actual value, so that the teaching quality feedback actual value can include an expression and a specific achievement, and teaching feedback is more accurate.
In one embodiment, step S330: calculating according to the generated current achievement actual weighted value and the current expression joyful actual weighted value and a preset weighting calculation algorithm and generating a teaching quality feedback actual value; the method specifically comprises the following steps:
step S331: acquiring a preset weighting proportion of the current expression joyful actual weighting value, and recording as a first weighting proportion value;
step S332: acquiring a preset weighting proportion of the current expression joyful actual weighting value, wherein the preset weighting proportion is a second weighting proportion value;
step S333: calculating and generating a teaching quality feedback actual value according to the current achievement actual weighted value, the current expression joy actual weighted value, the first weighted specific gravity value and the second weighted specific gravity value according to a weighted calculation algorithm based on the following formula:
Z＝a*X1+b*Y1；
wherein, Z is the teaching quality feedback actual value, a is the first weighted specific gravity value, X1 is the current achievement actual weighted value, b is the second weighted specific gravity value, Y1 is the current expression joy actual weighted value.
In this step, the teaching quality feedback actual value can be calculated by the above formula, so that the teaching quality feedback actual value is digitized and quantifiable.
In one embodiment, step S100: acquiring current actual facial expression data of students on a mathematical teaching class in real time, and respectively establishing personal facial expression databases according to the number of the current students, wherein one student has one personal facial expression database, and each personal facial expression database stores the current actual facial expression data corresponding to each time point; the method specifically comprises the following steps:
step S110: acquiring a current actual distance between each point of the face of each student on the mathematical teaching classroom and a preset position on a blackboard on the mathematical teaching classroom, wherein the face of each student on the mathematical teaching classroom comprises a plurality of actual detection points, and one current actual distance is reserved between each actual detection point and the preset position;
in the step, the current actual distance between each point of the face of each student on the mathematical teaching classroom and the preset position on the blackboard in the mathematical teaching classroom is obtained, so that expression data can be conveniently obtained in the following step.
Step S120: performing distance combination processing on each current actual distance to generate current actual facial expression data;
in this step, after distance combination processing is performed on each current actual distance, the current actual distances are combined together to form a complete face, so that the current actual facial expression data is obtained.
Step S130: and respectively establishing a personal facial expression database according to the number of the current students.
In one embodiment, step S110: acquiring a current actual distance between each point of the face of each student on the mathematical teaching classroom and a preset position on a blackboard on the mathematical teaching classroom, wherein the face of each student on the mathematical teaching classroom comprises a plurality of actual detection points, and one current actual distance is reserved between each actual detection point and the preset position; the method also comprises the following steps:
step S101: acquiring a standard distance value between each seat in a mathematical teaching classroom and a preset position on a blackboard in the mathematical teaching classroom;
in this step, the standard distance value is the distance value between the preset positions and the seat on the blackboard in the mathematical teaching classroom when the standard distance value is idle, and the standard distance of the data is realized by acquiring the standard distance value, so that whether a student is absent to attend a class or not is conveniently judged subsequently.
Furthermore, the preset position on the blackboard in the mathematical education classroom is the position right above the blackboard, and the sensor is installed at the position, so that the sensor can detect the whole classroom.
Step S102: detecting whether students take seats on all seats in a mathematical teaching classroom and generating seating detection results, wherein the seating detection results comprise full-member seating and student absence;
in the step, whether students take seats on all seats in the mathematical teaching classroom is detected, namely whether the distance of all the positions is changed is detected, and when the distance is changed and shortened, the students take seats, and similarly, the students are absent.
Step S103: according to the sitting detection result, when a student is absent, student absence reminding information is generated and sent to a preset teacher reminding port, and the student absence reminding information is used for reminding the teacher that the student is absent.
In the step, the teacher is reminded of the absence of the student through the absence reminding information, so that the teacher can conveniently count the classroom teaching information.
In one embodiment, as shown in fig. 2, a classroom quality feedback evaluation device based on mathematical education, the device includes:
the system comprises a facial expression data acquisition module, a time calculation module and a time calculation module, wherein the facial expression data acquisition module is used for acquiring the current actual facial expression data of students on a mathematical teaching class in real time and respectively establishing a personal facial expression database according to the number of the current students, one student has one personal facial expression database, and each personal facial expression database stores the current actual facial expression data corresponding to each time point;
the system comprises a test result data acquisition module, a data processing module and a data processing module, wherein the test result data acquisition module is used for acquiring the current classroom actual test result data of students after a mathematical teaching classroom, and one student corresponds to one current classroom actual test result data;
the weighting calculation module is used for calculating and generating a teaching quality feedback actual value according to the current classroom actual test result data and each current actual facial expression data in the personal facial expression database of the students corresponding to the current classroom actual test result data according to a preset weighting calculation algorithm;
the feedback evaluation report generation module is used for comparing the generated teaching quality feedback actual value with a preset standard high-quality teaching feedback value and generating a classroom quality feedback evaluation report;
and the feedback report display interface display module is used for generating a feedback report display interface according to the generated classroom quality feedback evaluation report and displaying the classroom quality feedback evaluation report on the feedback report display interface.
In one embodiment, the weight calculation module further comprises:
the comparison analysis module is used for comparing and analyzing the current classroom actual test result data with the standard test result data in a preset standard test result database and generating the current classroom actual test result actual weighted value of the current classroom actual test result data based on the comparison analysis result;
the analysis result generation module is used for carrying out comparison analysis on each current actual facial expression data in the personal facial expression database of the student corresponding to the current classroom actual test result data and the standard facial expression data in the preset standard facial expression database, and generating a current expression joy actual weighted value of the current actual facial expression data based on the comparison analysis result;
the feedback actual value generating module is used for calculating and generating a teaching quality feedback actual value according to the generated current achievement actual weighted value and the current expression joy actual weighted value and a preset weighting calculation algorithm; wherein the feedback actual value generation module further comprises:
the weighted proportion obtaining module is used for obtaining the preset weighted proportion of the current expression joyful actual weighted value and recording the weighted proportion as a first weighted proportion value;
the second weighting obtaining module is used for obtaining the preset weighting proportion of the current expression joyful actual weighting value, and the preset weighting proportion is the second weighting proportion value;
the teaching quality calculating module is used for calculating and generating a teaching quality feedback actual value according to the current achievement actual weighted value, the current expression joy actual weighted value, the first weighted specific gravity value and the second weighted specific gravity value according to a weighted calculation algorithm based on the following formula:
Z＝a*X1+b*Y1；
wherein, Z is the teaching quality feedback actual value, a is the first weighted specific gravity value, X1 is the current achievement actual weighted value, b is the second weighted specific gravity value, Y1 is the current expression joy actual weighted value.
In one embodiment, the facial expression data acquisition module includes:
the device comprises an actual distance acquisition module, a distance detection module and a distance detection module, wherein the actual distance acquisition module is used for acquiring the current actual distance between each point of the face of each student on the mathematical teaching classroom and a preset position on a blackboard on the mathematical teaching classroom, the face of each student on the mathematical teaching classroom comprises a plurality of actual detection points, and one current actual distance is reserved between each actual detection point and the preset position;
the combination processing generation module is used for performing distance combination processing on each current actual distance and generating current actual facial expression data;
the expression database establishing module is used for respectively establishing a personal facial expression database according to the number of the current students;
as shown in fig. 3, the actual distance obtaining module includes a first distance measuring circuit 10, the first distance measuring circuit 10 includes a distance detecting chip U5, and the distance detecting chip U5 is configured to obtain a current actual distance between each point of the face of each student on the mathematical teaching classroom and a preset position on the blackboard in the mathematical teaching classroom, and send the obtained current actual distance between each point of the face of each student on the mathematical teaching classroom and the preset position on the blackboard in the mathematical teaching classroom to the combination processing generation module;
the combined processing generation module comprises a combined processing circuit 20, the combined processing circuit 20 comprises a combined processing chip U6, a fourteenth pin of the combined processing chip U6 is connected with a tenth pin of the distance detection chip U5, a fifteenth pin of the combined processing chip U6 is connected with a ninth pin of the distance detection chip U5, and the combined processing chip U6 is used for performing distance combined processing on each current actual distance and generating the current actual facial expression data;
further, the model of the combined processing chip U6 is an STM32 type chip.
Wherein, the facial expression data acquisition module further comprises:
the standard distance value acquisition module is used for acquiring a standard distance value between each seat in the mathematical teaching classroom and a preset position on a blackboard in the mathematical teaching classroom;
the first judgment module is used for detecting whether students take seats on all seats in a mathematical teaching classroom and generating seating detection results, wherein the seating detection results comprise full-member seating and student absence;
the detection result generation module is used for generating student absence reminding information when a student is absent according to the sitting detection result, and sending the student absence reminding information to a preset teacher reminding port, wherein the student absence reminding information is used for reminding the teacher of the absence of the student;
the standard distance value acquisition module comprises four distance detection circuits 30, the four distance detection circuits 30 comprise distance detection sensors, the distance detection sensors are connected with the combined processing chip U6, the distance detection sensors are used for acquiring standard distance values between preset positions on each seat in a mathematical teaching classroom and a blackboard in the mathematical teaching classroom, and the standard distance values between the preset positions on each seat in the acquired mathematical teaching classroom and the blackboard in the mathematical teaching classroom are sent to the combined processing chip U6, so that the combined processing chip U6 detects whether students take seats on each seat in the mathematical teaching classroom and generates a seating detection result.
Further, the distance detection sensors are respectively denoted by U1, U2, U3 and U4, and the model of each distance detection sensor is preferably CS 102.
Each of the distance detection sensors is connected to the fifty-sixth pin to the sixty-second pin and the twenty-ninth pin and the thirty-third pin of the combined processing chip U6, respectively.
In one embodiment, as shown in fig. 4, a computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the classroom quality feedback evaluation method based on mathematical education when executing the computer program.
A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the classroom quality feedback assessment method based on mathematical education.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A classroom quality feedback evaluation method based on mathematical education is characterized by comprising the following steps:
step S100: acquiring current actual facial expression data of students on a mathematical teaching class in real time, and respectively establishing personal facial expression databases according to the number of the current students, wherein each student has a corresponding personal facial expression database, and each personal facial expression database stores the current actual facial expression data corresponding to each time point;
step S200: acquiring current classroom actual test result data of students after a mathematical teaching classroom, wherein one student corresponds to one current classroom actual test result data;
step S300: calculating and generating a teaching quality feedback actual value according to the current classroom actual test result data and each current actual facial expression data in the personal facial expression database of the students corresponding to the current classroom actual test result data according to a preset weighting calculation algorithm;
step S400: comparing the generated teaching quality feedback actual value with a preset standard high-quality teaching feedback value, and generating a classroom quality feedback evaluation report;
step S500: and generating a feedback report display interface according to the generated classroom quality feedback evaluation report, and displaying the classroom quality feedback evaluation report on the feedback report display interface.
2. The classroom quality feedback assessment method based on mathematical education as claimed in claim 1, wherein the step S300: calculating and generating a teaching quality feedback actual value according to the current classroom actual test result data and each current actual facial expression data in the personal facial expression database of the students corresponding to the current classroom actual test result data according to a preset weighting calculation algorithm; the method specifically comprises the following steps:
step S310: comparing and analyzing each current classroom actual test result data with standard test result data in a preset standard test result database, and generating a current result actual weighted value of the current classroom actual test result data based on the comparison and analysis result;
step S320: comparing and analyzing each current actual facial expression data in the personal facial expression database of the student corresponding to the current classroom actual test result data with standard facial expression data in a preset standard facial expression database, and generating a current expression joy actual weighted value of the current actual facial expression data based on a comparison and analysis result;
step S330: and calculating and generating a teaching quality feedback actual value according to the generated current achievement actual weighted value and the current expression joy actual weighted value and a preset weighting calculation algorithm.
3. The classroom quality feedback assessment method based on mathematical education as claimed in claim 1, wherein the step S330: calculating according to the generated current achievement actual weighted value and the current expression joyful actual weighted value and a preset weighting calculation algorithm and generating a teaching quality feedback actual value; the method specifically comprises the following steps:
step S331: acquiring a preset weighting proportion of the current expression joyful actual weighting value, and recording as a first weighting proportion value;
step S332: acquiring a preset weighting proportion of the current expression joyful actual weighting value, and recording as a second weighting proportion value;
step S333: calculating and generating a teaching quality feedback actual value according to the current achievement actual weighted value, the current expression joy actual weighted value, the first weighted specific gravity value and the second weighted specific gravity value according to a weighted calculation algorithm based on the following formula:
Z＝a*X1+b*Y1；
wherein, Z is the teaching quality feedback actual value, a is the first weighted specific gravity value, X1 is the current achievement actual weighted value, b is the second weighted specific gravity value, Y1 is the current expression joy actual weighted value.
4. The classroom quality feedback assessment method based on mathematical education as claimed in claim 1, wherein the step S100: acquiring current actual facial expression data of students on a mathematical teaching class in real time, and respectively establishing personal facial expression databases according to the number of the current students, wherein one student has one personal facial expression database, and each personal facial expression database stores the current actual facial expression data corresponding to each time point; the method specifically comprises the following steps:
step S110: acquiring a current actual distance between each point of the face of each student on the mathematical teaching classroom and a preset position on a blackboard on the mathematical teaching classroom, wherein the face of each student on the mathematical teaching classroom comprises a plurality of actual detection points, and one current actual distance is reserved between each actual detection point and the preset position;
step S120: performing distance combination processing on each current actual distance to generate current actual facial expression data;
step S130: and respectively establishing a personal facial expression database according to the number of the current students.
5. The classroom quality feedback assessment method based on mathematical education as claimed in claim 1, wherein the step S110: acquiring a current actual distance between each point of the face of each student on the mathematical teaching classroom and a preset position on a blackboard on the mathematical teaching classroom, wherein the face of each student on the mathematical teaching classroom comprises a plurality of actual detection points, and one current actual distance is reserved between each actual detection point and the preset position; the method also comprises the following steps:
step S101: acquiring a standard distance value between each seat in a mathematical teaching classroom and a preset position on a blackboard in the mathematical teaching classroom;
step S102: detecting whether students take seats on all seats in a mathematical teaching classroom and generating seating detection results, wherein the seating detection results comprise full-member seating and student absence;
step S103: according to the sitting detection result, when a student is absent, student absence reminding information is generated and sent to a preset teacher reminding port, and the student absence reminding information is used for reminding the teacher that the student is absent.
6. A classroom quality feedback evaluation device based on mathematical education, characterized in that the device includes:
the system comprises a facial expression data acquisition module, a time calculation module and a time calculation module, wherein the facial expression data acquisition module is used for acquiring the current actual facial expression data of students on a mathematical teaching class in real time and respectively establishing a personal facial expression database according to the number of the current students, one student has one personal facial expression database, and each personal facial expression database stores the current actual facial expression data corresponding to each time point;
the system comprises a test result data acquisition module, a data processing module and a data processing module, wherein the test result data acquisition module is used for acquiring the current classroom actual test result data of students after a mathematical teaching classroom, and each student corresponds to one current classroom actual test result data;
the weighting calculation module is used for calculating and generating a teaching quality feedback actual value according to the current classroom actual test result data and each current actual facial expression data in the personal facial expression database of the students corresponding to the current classroom actual test result data according to a preset weighting calculation algorithm;
the feedback evaluation report generation module is used for comparing the generated teaching quality feedback actual value with a preset standard high-quality teaching feedback value and generating a classroom quality feedback evaluation report;
and the feedback report display interface display module is used for generating a feedback report display interface according to the generated classroom quality feedback evaluation report and displaying the classroom quality feedback evaluation report on the feedback report display interface.
7. The classroom quality feedback assessment device based on mathematical education as claimed in claim 6, wherein said weighting calculation module further comprises:
the comparison analysis module is used for comparing and analyzing the current classroom actual test result data with the standard test result data in a preset standard test result database and generating the current classroom actual test result actual weighted value of the current classroom actual test result data based on the comparison analysis result;
the analysis result generation module is used for carrying out comparison analysis on each current actual facial expression data in the personal facial expression database of the student corresponding to the current classroom actual test result data and the standard facial expression data in the preset standard facial expression database, and generating a current expression joy actual weighted value of the current actual facial expression data based on the comparison analysis result;
the feedback actual value generating module is used for calculating and generating a teaching quality feedback actual value according to the generated current achievement actual weighted value and the current expression joy actual weighted value and a preset weighting calculation algorithm; wherein the feedback actual value generation module further comprises:
the weighted proportion obtaining module is used for obtaining the preset weighted proportion of the current expression joyful actual weighted value and recording the weighted proportion as a first weighted proportion value;
the second weighting obtaining module is used for obtaining the preset weighting proportion of the current expression joyful actual weighting value and recording the weighting proportion as a second weighting proportion value;
the teaching quality calculating module is used for calculating and generating a teaching quality feedback actual value according to the current achievement actual weighted value, the current expression joy actual weighted value, the first weighted specific gravity value and the second weighted specific gravity value according to a weighted calculation algorithm based on the following formula:
Z＝a*X1+b*Y1；
wherein, Z is the teaching quality feedback actual value, a is the first weighted specific gravity value, X1 is the current achievement actual weighted value, b is the second weighted specific gravity value, Y1 is the current expression joy actual weighted value.
8. The classroom quality feedback assessment device based on mathematical education as claimed in claim 6, wherein said facial expression data acquisition module includes:
the device comprises an actual distance acquisition module, a distance detection module and a distance detection module, wherein the actual distance acquisition module is used for acquiring the current actual distance between each point of the face of each student on the mathematical teaching classroom and a preset position on a blackboard on the mathematical teaching classroom, the face of each student on the mathematical teaching classroom comprises a plurality of actual detection points, and one current actual distance is reserved between each actual detection point and the preset position;
the combination processing generation module is used for performing distance combination processing on each current actual distance and generating current actual facial expression data;
the expression database establishing module is used for respectively establishing a personal facial expression database according to the number of the current students;
the actual distance acquisition module comprises a first distance measurement circuit, the first distance measurement circuit comprises a distance detection chip U5, and the distance detection chip is used for acquiring the current actual distance between each point of the face of each student on the mathematical teaching classroom and the preset position on the blackboard in the mathematical teaching classroom and sending the acquired current actual distance between each point of the face of each student on the mathematical teaching classroom and the preset position on the blackboard in the mathematical teaching classroom to the combination processing generation module;
the combined processing generation module comprises a combined processing chip, a fourteenth pin of the combined processing chip is connected with a tenth pin of the distance detection chip, a fifteenth pin of the combined processing chip is connected with a ninth pin of the distance detection chip, and the combined processing chip is used for performing distance combined processing on each current actual distance and generating current actual facial expression data;
wherein, the facial expression data acquisition module further comprises:
the standard distance value acquisition module is used for acquiring a standard distance value between each seat in the mathematical teaching classroom and a preset position on a blackboard in the mathematical teaching classroom;
the first judgment module is used for detecting whether students take seats on all seats in a mathematical teaching classroom and generating seating detection results, wherein the seating detection results comprise full-member seating and student absence;
the detection result generation module is used for generating student absence reminding information when a student is absent according to the sitting detection result, and sending the student absence reminding information to a preset teacher reminding port, wherein the student absence reminding information is used for reminding the teacher of the absence of the student;
the standard distance value acquisition module comprises four distance detection circuits, the four distance detection circuits comprise distance detection sensors, the distance detection sensors are connected with the combined processing chip, the distance detection sensors are used for acquiring standard distance values between preset positions on each seat and the blackboard in the mathematical teaching classroom, and the standard distance values between the preset positions on each seat and the blackboard in the mathematical teaching classroom are sent to the combined processing chip, so that the combined processing chip detects whether students take seats on each seat in the mathematical teaching classroom and generates a seating detection result.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.
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