CN112926934A - Teaching evaluation method, system and computer readable storage medium - Google Patents

Teaching evaluation method, system and computer readable storage medium Download PDF

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CN112926934A
CN112926934A CN202110141993.4A CN202110141993A CN112926934A CN 112926934 A CN112926934 A CN 112926934A CN 202110141993 A CN202110141993 A CN 202110141993A CN 112926934 A CN112926934 A CN 112926934A
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温俊林
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Shenzhen Pre Course Technology Co.,Ltd.
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Abstract

The invention provides a teaching evaluation method, a system and a computer readable storage medium, wherein the method comprises the following steps: acquiring voice information aiming at a target person, and generating a first file according to the voice information; acquiring first image information of a scene where a target person is located, and generating a second file according to the first image information; acquiring second image information generated based on examination work submitted by a target person, and generating a third file according to the second image information; based on the first profile, the second profile, and the third profile, an evaluation result is generated. The corresponding first file, the second file and the third file are generated according to objective data which can reflect the behavior of the target person in various aspects such as the voice information, the first image information and the second image information of the target person, and the first file, the second file and the third file are integrated to generate an evaluation result, so that the interference of subjective factors on the evaluation result is reduced, and the accuracy of the evaluation result is improved.

Description

Teaching evaluation method, system and computer readable storage medium
Technical Field
The invention relates to the technical field of information processing, in particular to a teaching evaluation method, a teaching evaluation system and a computer-readable storage medium.
Background
Currently, for the evaluation of the target person, the target person is evaluated manually, often based on the impression of the target person and the performance of the target person, and the like, which are subjective by an evaluator, for example, the evaluator may be a teacher, and the target person may be a student. The evaluation result generated by the method is easily influenced by subjective factors of the evaluators, and the real performance of each target person can not be accurately reflected, so that the evaluation result is not objective and accurate.
Disclosure of Invention
The invention mainly aims to provide a teaching evaluation method, a teaching evaluation system and a computer readable storage medium, and aims to solve the problems that evaluation results are not objective and inaccurate.
In order to achieve the above object, the present invention provides a teaching evaluation method, comprising the steps of:
acquiring voice information aiming at a target person, and generating a first file according to the voice information, wherein the first file reflects behavior records of the target person;
acquiring first image information of a scene where the target person is located, and generating a second file according to the first image information, wherein the second file reflects attendance records of the target person;
acquiring second image information generated based on the assessment operation submitted by the target person, and generating a third file according to the second image information, wherein the third file reflects the assessment record of the target person;
generating an evaluation result based on the first profile, the second profile, and the third profile.
Optionally, the acquiring voice information for the target person, and generating a first file according to the voice information includes:
converting the voice information into character information;
inquiring the text information in a preset keyword library to obtain keywords in the text information and the number of each keyword, wherein N keywords are stored in the keyword library and are positive integers;
and generating the first file based on the keywords in the text information and the number of each keyword.
Optionally, the obtaining first image information of a scene where the target person is located, and generating a second file according to the first image information includes:
identifying the first image information to obtain a first identification result, wherein the first identification result comprises target position information corresponding to the target person and image acquisition time of the first image information;
and generating the second archive based on the target position information and the image acquisition time.
Optionally, the attendance record includes a first record and a second record, and the generating the second file based on the target location information and the image acquisition time includes:
generating the first record under the condition that the target position information is preset position information and the image acquisition time is within a preset time period;
and generating the second record under the condition that the target position information is not preset position information and the image acquisition time is in a preset time period.
Optionally, the obtaining second image information generated based on the assessment work submitted by the target person, and generating a third file according to the second image information includes:
identifying the second image information to obtain a second identification result, wherein the second identification result is a scanning result of scanning the examination operation submitted by the target person;
and generating the third archive based on the second recognition result.
Optionally, the second recognition result includes a first topic and a second topic, and the generating the third file based on the second recognition result includes:
identifying the second image information to obtain the first question type and the second question type;
acquiring a first score corresponding to the first topic and a second score corresponding to the second topic;
determining the sum of the first score and the second score as a qualification score;
and generating the third file based on the assessment score.
Optionally, after all steps, the method further comprises:
receiving a query request input by a user for the evaluation result;
and sending the evaluation result corresponding to the query request to the user based on the query request.
In order to achieve the above object, the present invention further provides a teaching evaluation system, including:
the first file module is used for acquiring voice information aiming at a target person and generating a first file according to the voice information, wherein the first file reflects the behavior record of the target person;
the second file module is used for acquiring first image information of a scene where the target person is located and generating a second file according to the first image information, wherein the second file reflects attendance records of the target person;
the third file module is used for acquiring second image information generated based on the examination operation submitted by the target person and generating a third file according to the second image information, wherein the third file reflects the examination record of the target person;
and the evaluation result module is used for generating an evaluation result based on the first archive, the second archive and the third archive.
Optionally, the system further comprises:
the receiving module is used for receiving a query request input by a user aiming at the evaluation result;
and the sending module is used for sending the evaluation result corresponding to the query request to the user based on the query request.
To achieve the above object, the present invention further provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the teaching evaluation method as described above.
The invention provides a teaching evaluation method, a system and a computer readable storage medium, which are used for acquiring voice information aiming at a target person and generating a first file according to the voice information, wherein the first file reflects the behavior record of the target person; acquiring first image information of a scene where a target person is located, and generating a second file according to the first image information, wherein the second file reflects attendance records of the target person; acquiring second image information generated based on examination operation submitted by a target person, and generating a third file according to the second image information, wherein the third file reflects examination records of the target person; based on the first profile, the second profile, and the third profile, an evaluation result is generated.
The corresponding first file, the second file and the third file are generated according to objective data which can reflect the behavior of the target person in various aspects such as the voice information, the first image information and the second image information of the target person, and the evaluation result is generated by integrating the first file, the second file and the third file, so that the interference of subjective factors on the evaluation result can be reduced, and the accuracy of the evaluation result is improved.
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FIG. 1 is a schematic flow chart of a first embodiment of a teaching evaluation method according to the present invention;
FIG. 2 is a detailed flowchart of step S10 of the second embodiment of the teaching evaluation method according to the present invention;
FIG. 3 is a detailed flowchart of step S20 of the third embodiment of the teaching evaluation method according to the present invention;
fig. 4 is a schematic block diagram of the teaching evaluation system of the present invention.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a teaching evaluation method, which is applied to a teaching evaluation system, and referring to fig. 1, fig. 1 is a flow schematic diagram of a first embodiment of the teaching evaluation method, and the method comprises the following steps:
step S10, acquiring voice information of a target person, and generating a first file according to the voice information, wherein the first file reflects behavior records of the target person;
continuously acquiring voice information in a scene through a recording device, and performing processing operation and voice recognition operation on the acquired voice information in real time, wherein the processing operation comprises dividing the voice information into voice sections according to interval time, and when recognizing that the voice information contains a mark corresponding to a target person, taking the voice section corresponding to the mark and a preset voice section behind the voice section as the voice information for the target person; the identification comprises the name, code number or serial number of the target person. After the voice information for the target person is acquired, the voice information is identified to extract a keyword corresponding to the voice information, and a first file corresponding to the target person is generated according to the extracted keyword.
It should be noted that the recording device may also acquire the voice information in the scene only within a preset time period, or only use the voice information acquired within the preset time period as the voice information for the target person; if the target person is a student, the voice information in the classroom is only acquired in the preset class period, or the voice information acquired in the preset class period is only used as the voice information for the target person.
It should be noted that the target of the voice information collection is a person other than the target person; if the target person is a student, the voice information acquisition object is a teacher; therefore, the voice print recognition can be performed on the acquired voice information, and only when the voice print recognition result conforms to the characteristics of the person, the voice recognition operation is performed on the voice information corresponding to the voice print recognition result to obtain the voice information for the target person. Further, the recording device can be awakened or turned off by voice or manually.
Step S20, acquiring first image information of a scene where the target person is located, and generating a second file according to the first image information, wherein the second file reflects attendance records of the target person;
continuously acquiring image information in a scene through a camera, carrying out face recognition operation on the acquired image information in real time, and taking a set of all face recognition results and image information corresponding to target personnel as the first image information; after the first image information is acquired, feature extraction is carried out on the first image information, so that the attendance checking condition of the target person is judged according to the extracted features, and a second file corresponding to the target person is generated according to the attendance checking condition. It should be noted that only the image information acquired within the preset time period may be used as the first image information for the target person; if the target person is a student, only the image sound information acquired within the preset lesson taking period is used as the first image information aiming at the target person.
Step S30, second image information generated based on the examination operation submitted by the target person is obtained, and a third file is generated according to the second image information and reflects the examination record of the target person;
and acquiring image information of the examination operation in a camera or scanning mode, identifying the characteristic region of the image information of the examination operation, and taking the image information corresponding to the identification result and the target person as second image information. After the second image information is obtained, the second image information is identified, so that the assessment result of the assessment work of the target person is obtained according to the identification result, and a third file corresponding to the target person is generated according to the assessment result.
Step S40 is to generate an evaluation result based on the first profile, the second profile, and the third profile.
And integrating the first file, the second file and the third file according to a preset rule to obtain an evaluation result comprehensively reflecting the behavior of the target person. The evaluation result can be in the form of score, grade or archive.
It should be appreciated that in some embodiments, the second image information is image information generated based on the examination questions submitted by the target person. In this way, a fourth file reflecting the examination record of the target person, i.e. the examination assignment further includes the examination record, and the examination record represents the examination score of the user in one examination, can be generated based on the same manner as the third file. Through data accumulation analysis and evaluation of the fourth file, the examination results of the students are selectively displayed by scores or grades, for example, the score is A at 90 or more, the score is B from 80 to 90 (not included), and the like. Automatically generating a wrong question library by marking wrong questions at the same time; it is also possible to mark and evaluate excellent work. Meanwhile, the correction record is pushed to the parents.
Optionally, for a target user, a plurality of first archives, second archives, and third archive data of the target user within a preset time period may be acquired, correlations between a fourth archive and the plurality of archives may be analyzed, and feedback information for the target person may be generated.
The change of the examination score of the target user can be obtained from the fourth file, and if the examination score of the fourth file representing the user is gradually increased/decreased, correlation analysis can be performed based on the first file, the second file and the third file data of the student in a period of time, and feedback information aiming at the target person is generated.
For example, when the examination scores of students are improved, the evaluation results corresponding to the first file, the second file and the third file of the students in the near period are comprehensively analyzed to obtain the classroom performance and the work condition of the students, if the classroom performance evaluation results of the students are improved to result in the improvement of the examination scores, correlation analysis reports related to the students are generated and fed back to a teacher end and a parent end to continuously urge the students to keep good classroom performance; if the examination score is improved due to the fact that the work completion condition of the student is good, a correlation analysis report corresponding to the work completion condition of the student is generated and fed back to the teacher end and the chief end, so that the examination score of the student is analyzed in a targeted mode, factors influencing the height of the examination score are fed back, the learning condition of the student can be managed and educated efficiently through accumulated analysis based on data, and good learning habits of the student are developed.
For example, when the examination score of the student is decreased, the classroom performance and the work condition of the student are analyzed, and when the classroom performance and the work condition of the student are both improved, the examination questions submitted by the student are analyzed to generate related feedback information. Specifically can carry out whole evaluation to the student through analysis first archives, second archives, third archives and fourth archives, carry out correlation analysis, carry out statistical analysis to the student wrong question, whether have the condition that partial or partial field topic type is weak, then pertinence with correlation analysis report feedback chief's end or mr end to can carry out intelligent course propelling movement after through the analysis, carry out the pertinence with concentrated topic type and strengthen the training.
According to the embodiment, the corresponding first file, the second file and the third file are generated according to the objective data which can reflect the behavior of the target person in various aspects, such as the voice information, the first image information and the second image information of the target person, and the evaluation result of the learning condition of the target person is generated by integrating the first file, the second file and the third file, so that the interference of subjective factors on the evaluation result can be reduced, and the accuracy of the evaluation result is improved.
Further, referring to fig. 2, in the second embodiment of the teaching evaluation method of the present invention proposed based on the first embodiment of the present invention, the step S10 includes the steps of:
step S11, converting the voice information into character information;
step S12, inquiring the character information in a preset keyword library to obtain keywords in the character information and the number of each keyword, wherein N keywords are stored in the keyword library and are positive integers;
step S13, generating the first profile based on the keywords in the text message and the number of each keyword.
And carrying out voice recognition operation on the voice information to obtain character information corresponding to the voice information. The specific speech recognition technology can be selected from the prior art according to actual needs, and is not described herein.
Setting keywords corresponding to target personnel behaviors in a keyword library in advance; and then, carrying out statistics on the keywords appearing in the text information according to the keyword library so as to evaluate the behavior of the target personnel according to the statistical result.
The explanation is given by taking the target person as a student and the voice information as classroom recording.
The keyword library is provided with item keywords, score keywords and the like, wherein the item keywords comprise positive answer questions, small differences, smiley talks and the like, and the score keywords comprise one-point addition, two-point deduction and the like;
the teacher shows up the performance of a certain student in the classroom, and continues to recognize the corresponding voice information to obtain the character information of 'XX student actively answering the question plus one minute'; matching the keywords in the keyword library with the character information to obtain matched keywords comprising positive answer questions and adding one score to correlate the obtained item keywords with the score keywords; recognizing voice information in a preset evaluation period, such as a scholarly term, counting all matched keywords in a keyword library to obtain the times of each item keyword, and summing the numerical values of the score keywords associated with the item keywords to obtain a score corresponding to the item keyword; meanwhile, summing the obtained numerical values of all the score keywords to obtain the behavior total score of the target person; and generating a first file according to the times of the item keywords and the total score of the estimated behavior corresponding to the score of the item keywords.
The embodiment can reasonably evaluate the behavior of the target person so as to generate the first file.
Further, referring to fig. 3, in a third embodiment of the teaching evaluation method of the present invention proposed based on the first embodiment of the present invention, the step S20 includes the steps of:
step S21, recognizing the first image information to obtain a first recognition result, wherein the first recognition result comprises target position information corresponding to the target person and image acquisition time of the first image information;
step S22, generating the second archive based on the target position information and the image acquisition time.
The attendance record includes a first record and a second record, and the step S22 includes the steps of:
step S221, generating the first record when the target position information is preset position information and the image acquisition time is in a preset time period;
step S222, in a case that the target position information is not preset position information and the image acquisition time is within a preset time period, generating the second record.
A position distribution diagram and an attendance time table are preset in the system; preset position information corresponding to each target person is recorded in the position distribution diagram, a plurality of preset time periods are recorded in the attendance time table, and for example, in the class attendance time table, the class time period of each class is one preset time period; obtaining target position information of a target person by carrying out face recognition on the first image information; whether the attendance of the target person passes or not is judged by detecting whether the target person is at a preset position within a preset time period or not; when the target position information is preset position information and the image acquisition time is within a preset time period, checking in attendance is passed; and recording the absence of the duty under the condition that the target position information is not preset position information and the image acquisition time is in a preset time period.
It should be noted that the attendance record may also be associated with a leave-on record, and a time period corresponding to the leave-on record is marked as a leave-on time period, and no absent record is generated in the leave-on time period. Further, when the target position information is not the preset position information and the image acquisition time is within the preset time period, the target person can be further judged to be late, early or absent according to the relative relationship between the preset time period and the time period occupied by the target position information which is not the preset position information within the preset time period.
In another embodiment, image information within a preset time period can be screened from all the first image information, and whether the target position information of the target person is the preset position information or not in the image information within the preset time period is judged; if yes, checking attendance and passing, and if not, recording the time period of the preset position information of the target position information part as absence.
Furthermore, the target personnel distribution in the position distribution map can be adjusted according to a preset rule; taking target persons as students and position distribution maps as shift maps as examples, allocating seats of the students according to the scores of the previous month every preset exchanging time, such as one month; or the students are adjusted according to the row case columns at intervals of preset exchange time. Meanwhile, the teacher can also adjust the positions of the students at will.
Furthermore, body temperature data of the target person can be acquired in real time through temperature measuring equipment, such as an infrared thermometer and the like, and the body temperature data and the temperature measuring time are correspondingly recorded into a second file; and when the body temperature of the target person is detected to exceed the preset normal body temperature range, performing alarm operation, such as sending abnormal body temperature information to a teacher end.
The embodiment can reasonably evaluate the attendance condition of the target person so as to generate the second file.
Further, in a fourth embodiment of the teaching evaluation method of the present invention proposed based on the first embodiment of the present invention, the step S30 includes the steps of:
step S31, identifying the second image information to obtain a second identification result, wherein the second identification result is a scanning result of scanning the examination operation submitted by the target person;
step S32, generating the third profile based on the second recognition result.
The second recognition result includes a first question type and a second question type, and the step S32 includes the steps of:
step S321, identifying the second image information to obtain the first question type and the second question type;
step S322, obtaining a first score corresponding to the first topic and a second score corresponding to the second topic;
step S323, determining the sum of the first score and the second score as an assessment score;
step S324, generating the third file based on the assessment score.
The first question type in this embodiment is an objective question, such as a choice question, a judgment question or a blank filling question; the second question type is subjective questions such as question and answer questions, reading comprehension, composition and the like; the first question type and the second question type can be divided according to the answer area of the examination operation.
The system personnel upload the reference answers of the assessment operation to the system in advance.
For the first question type, directly identifying the options marked by the target person or the answers filled by the target person through characters, comparing whether the marked options or answers are consistent with the corresponding options or answers in the reference answers to judge whether the question is correct, and accumulating the scores corresponding to the correct question to obtain a first score; specifically, the correct answer and the incorrect answer are marked with different colors or identifiers, and then the first score can be obtained by counting the colors or identifiers corresponding to the correct answer.
For the second topic, the reference answers cannot be directly compared to automatically score, so that the obtained second topic and the corresponding reference answers can be sent to corresponding scoring personnel, such as teachers, and the scoring personnel feeds back corresponding scores after scoring, and accumulates the obtained scores corresponding to the second topic to obtain a second score; and the sum of the first score and the second score is the assessment score of the target person. Specifically, after logging in the system, a teacher selects homework correction and selects a corresponding student, and the system pushes a corresponding second question type and a reference answer; the teacher selects the corresponding grade for the second question type according to the reference answer, and can select input comments such as raised comments or improved comments. Furthermore, the teacher can also perform work correction through voice, and the voice of the teacher is acquired and recognized to obtain a corresponding correction password.
Further, the answer is marked as wrong or the question with the proportion lower than the preset fraction proportion of the question is obtained as the wrong question, and all the wrong questions are collected to generate a wrong question set.
Furthermore, the submitting condition of the examination operation can be counted, and a list of target persons who do not submit the examination operation is displayed circularly in a set time period; the teacher may call a target person, such as a student, or remind a parent by clicking.
The embodiment can reasonably evaluate the assessment condition of the target person so as to generate a third file.
Further, in a fifth embodiment of the teaching evaluation method of the present invention proposed based on the first embodiment of the present invention, after all the steps, the method further comprises:
step S50, receiving a query request input by a user aiming at the evaluation result;
step S60, based on the query request, sending an evaluation result corresponding to the query request to the user.
The user may be a student, a teacher, or a parent. The query request corresponds to the identification of the target person, such as name, school number, class, and the like. And matching the evaluation result of the corresponding target person according to the query request, and feeding back the evaluation result to the user.
Furthermore, the user can also aim at specific information, such as the first file, the second file, the third file, the voice information at a specific moment, the first image information, the second image information, the assessment operation and the corresponding correction condition, and the like. It can be understood that the data range that can be queried is different according to the identity of the user; for example, a teacher can query data of students on a class, while a parent can only query data of students bound to the teacher.
According to the embodiment, the user can inquire the evaluation result of the target person.
The teaching scene of the system applied to schools is taken as an example for explanation;
the system comprises a mobile phone end, a PC end and a webpage end.
When the system is started, the open screen advertisement and privacy policy can be displayed.
The teacher, the student and the parents can register accounts through the mobile phone number and log in through account passwords, short message verification codes or one key of the mobile phone to log in. After login, information binding is carried out, such as teacher and student binding class, and parents bind students.
At the teacher's end, the operational functions include classroom, assignment, voice call, overall evaluation, and examination, among others.
Under the classroom function, operations such as class creation, student management, assignment, notification sending and the like can be performed;
creating a class: the class is created by a school passage selection, a class name selection, and an introduction of a comment type, while students, parents, and lecture teachers are invited to enter the class.
Student management: students are added by scanning identification codes of the students or manually inputting information of the students; grouping students; commenting students by coding or voice, and generating commenting files by commenting results; carry out the attendance to the student through sweeping sign indicating number or pronunciation to in merging into the second archives attendance data, when carrying out the pronunciation attendance again, if the condition of having the same name of class appears, send inquiry signal to mr, mr can confirm student's identity through other signs such as input school number.
Arranging operation: setting on-line submitting or paper submitting operation submitting modes; setting a job title manually or by voice, wherein the job title can be automatically generated by the system; the operation arrangement is carried out through recording, pictures, videos, files or links, and the selection can be carried out in a system question bank; setting the operation completion time; setting whether the reading is required to be confirmed; after the job arrangement is finished, the job can be shared to parents in a mode of WeChat, QQ, short message or two-dimensional code.
And sending a notification: the system can push a preset template to a teacher end according to the date, and the teacher can also select the template to send a notice; the notification content may include voice, pictures, video, files, links, and the like.
Under the job function, it is possible to view job statistics, modify jobs, and arrange jobs.
And (4) operation statistics: in the online work downloading process, the information of students submitted by the work can be input by voice or code scanning, meanwhile, a list of uncommitted students is output and recorded, a user can be reminded of parents by selecting one key or reminding the parents at regular time, and the condition that the parents read the information is confirmed; in online operation, the submission condition is automatically counted and recorded;
and (3) correction operation: in the online work-off process, the evaluation result is input for the work of the student, and a corresponding wrong question bank can be generated by photographing; in online homework, selecting student homework to modify, and evaluating simultaneously, such as 6 grades of A + to B-, and marking wrong questions at the same time to automatically generate a wrong question library; it is also possible to mark and evaluate excellent work. Meanwhile, the correction record is pushed to the parents.
Arranging operation: setting on-line submitting or paper submitting operation submitting modes; setting a job title manually or by voice, wherein the job title can be automatically generated by the system; the operation arrangement is carried out through recording, pictures, videos, files or links, and the selection can be carried out in a system question bank; setting the operation completion time; setting whether the reading is required to be confirmed; after the job arrangement is finished, the job can be shared to parents in a mode of WeChat, QQ, short message or two-dimensional code.
Under the voice calling function, the system can carry out voice calling by one key to colleagues to select the broadcasting times, and when the system confirms that the current time is not the class time, the system sends the voice calling to a PC end of a classroom.
Under the overall evaluation function, student data can be viewed from multiple dimensions, such as time, individuals, and class.
Time: the school date, quarter, month or week can be selected to view the composite rating;
an individual: attendance data comprising attendance times, attendance rate, late times and leave-asking times; the classroom performance comprises class ranking, pragman ratio, comment detail, in-class performance and total score, wherein the in-class performance comprises the pragman ratio and the comment detail; the method comprises the operation conditions of the number of finished trades, the number of delayed trades, the number of non-trades, level statistics and the number of excellent exhibition, wherein the level statistics comprise the number of each level, the proportion, the ranking of classes and the details. Excellent display times, class ranking and detail; an examination case including a score change curve, a correlation with a classroom performance score, and a correlation with a work case; error condition, etc.
Class: including classroom performance, work situations, examination situations, and comparisons with other classes, etc. Classroom performance includes a class total score and a class holistic ability analysis. The class total score comprises class ranking, raise data and data to be improved; the ranking of the classes is sorted by selecting the personal score ranking, the average score of the classes or the median in a time period; the promotion can obtain a total score through personal score ranking, class average score and median, and can also select promotion times, number of people, comment details and the like; the total score can be obtained through personal score ranking, class average and median, and the times, number and comment details of the improvement can be selected. The class global competency analysis contains the active molecules, the molecules of interest, and the average level.
The operation condition comprises a submission condition, a correction record, a comment record and a wrong question bank; the submitting conditions of the online and offline operations are analyzed according to the class transaction completion rate, the class operation transaction rate and the class non-transaction rate; the correction records comprise the number of people in single-time operation grade distribution, the proportion of single-time operation grade distribution and the average value of multiple operations; the evaluation records comprise evaluation times, and the ratio of the number of the evaluated persons to the number of the evaluated persons; the wrong questions library can be used for screening high-frequency wrong questions. The examination conditions comprise class ranking, class average score, class median, highest score, score distribution graph, passing rate, wrong question bank and the like.
Under the examination function, the operation of recording the achievement and evaluating the achievement can be executed.
Recording the results: inputting examination names, names and scores through voice or code scanning, or importing scores through an import score table, matching the names in the table after importing, and modifying the names when matching fails; and the system automatically generates and displays a result table according to the imported results.
Evaluation of results: the name of a person is input through code scanning, corresponding students are evaluated, an evaluation template can be selected and comprises a progress template and a refueling template, and meanwhile comments are added through manual input or voice. The error bank can also be generated by marking or photographing.
At the home keeper, the operational functions include classroom, assignment, notification, overall rating, and me, among others.
Under the classroom function, the potential analysis of students and the comment condition comprising the raise ratio, the to-be-improved, the comment detail and the class ranking can be checked.
Under the operation function, the read confirmation can be carried out; reading the correction condition; generating a wrong question bank by photographing, and the like.
Under the notification function, various notifications such as examination scores, message notifications, teacher recommendation and teaching aid suggestions and the like can be checked, and after the notifications are checked, the system automatically marks the notifications as read.
Under the integral evaluation function, the attendance checking, the classroom performance, the work condition, the examination condition and the wrong questions can be checked.
Checking in work attendance: including attendance, attendance rate, late times and leave times.
Performing classroom performance; including the overall score, the class rank, the suggestive ratio, the comment details, and the in-class performance including the suggestive ratio and the comment details.
The operation condition comprises the operation conditions of transaction completion times, transaction stagnation times, transaction non-times, grade statistics and excellent display times, wherein the grade statistics comprise each grade time, proportion, class ranking and detail. Excellent display times, class ranking and detail;
the examination condition comprises a score change curve, the correlation with classroom performance scores and the correlation with operation conditions;
the wrong questions include high-frequency wrong questions, examination wrong questions, homework wrong questions and the like.
Under the order function, my notifications, growth manuals, family assistants, purchased courses, my recommendations, and functional tutorials may be viewed.
My notifications: including backlogs including classroom comments and job options including confirmation of reading, job submission, job approval, and job feedback, exam performance, contact teacher, and other notifications.
Growth manual: the overall evaluation of the children in the school, such as attendance checking condition, classroom performance, homework correction condition, starting performance and the like, can be checked according to the month and the school. The operation correction condition comprises a wrong question bank recorded by a teacher and a parent; the examination result includes a score change curve, a correlation with a classroom performance score, an examination situation of a correlation with a work situation, and the like.
Family education assistant: including photo correction, dictation, classical poetry and text reciting including english and chinese.
And (3) purchased courses: including coupons and curriculum lists.
My recommendations are: including teacher recommendations and AI teaching aid recommendations.
The invention also provides a teaching evaluation system, which comprises:
the first file module is used for acquiring voice information aiming at a target person and generating a first file according to the voice information, wherein the first file reflects the behavior record of the target person;
the second file module is used for acquiring first image information of a scene where the target person is located and generating a second file according to the first image information, wherein the second file reflects attendance records of the target person;
the third file module is used for acquiring second image information generated based on the examination operation submitted by the target person and generating a third file according to the second image information, wherein the third file reflects the examination record of the target person;
and the evaluation result module is used for generating an evaluation result based on the first archive, the second archive and the third archive.
According to the embodiment, the corresponding first file, the second file and the third file are generated according to the objective data which can reflect the behavior of the target person in various aspects, such as the voice information, the first image information and the second image information of the target person, and the evaluation result is generated by integrating the first file, the second file and the third file, so that the interference of subjective factors on the evaluation result can be reduced, and the performance of the target person can be fairly, rightly and accurately reflected by the evaluation result.
It should be appreciated that in some embodiments, the second image information is image information generated based on the examination questions submitted by the target person. In this way, a fourth file module may be further included, and a fourth file may be generated based on the same manner as the third file, where the fourth file reflects the examination records of the target person, that is, the examination assignment further includes an examination record, and the examination record represents the examination score of the user in an examination. Optionally, for a target user, the fourth profile module may obtain a plurality of first profiles, second profiles, and third profile data of the target user within a preset time period, and generate feedback information for the target person based on a correlation among the plurality of profiles.
Further, the system further comprises:
the receiving module is used for receiving a query request input by a user aiming at the evaluation result;
and the sending module is used for sending the evaluation result corresponding to the query request to the user based on the query request.
The user may be a student, a teacher, or a parent. The query request corresponds to the identification of the target person, such as name, school number, class, and the like. And matching the evaluation result of the corresponding target person according to the query request, and feeding back the evaluation result to the user.
Furthermore, the user can also aim at specific information, such as the first file, the second file, the third file, the voice information at a specific moment, the first image information, the second image information, the assessment operation and the corresponding correction condition, and the like. It can be understood that the data range that can be queried is different according to the identity of the user; for example, a teacher can query data of students on a class, while a parent can only query data of students bound to the teacher.
According to the embodiment, the user can inquire the evaluation result of the target person.
Referring to fig. 4, the teaching evaluation system may further include components such as a communication module 10, a memory 20, and a processor 30 in a hardware configuration. In the teaching evaluation system, the processor 30 is connected to the memory 20 and the communication module 10, respectively, the memory 20 stores thereon a computer program, which is executed by the processor 30 at the same time, and when executed, implements the steps of the above-described method embodiments.
The communication module 10 may be connected to an external communication device through a network. The communication module 10 may receive a request from an external communication device, and may also send a request, an instruction, and information to the external communication device, where the external communication device may be another teaching evaluation system, a server, or an internet of things device, such as a television.
The memory 20 may be used to store software programs as well as various data. The memory 20 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (for example, obtaining voice information for a target person and generating a first profile according to the voice information), and the like; the storage data area may include a database, and the storage data area may store data or information created according to use of the system, or the like. Further, the memory 20 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The processor 30, which is a control center of the teaching evaluation system, connects various parts of the whole teaching evaluation system by using various interfaces and lines, and performs various functions and processes of the teaching evaluation system by running or executing software programs and/or modules stored in the memory 20 and calling data stored in the memory 20, thereby performing overall monitoring of the teaching evaluation system. Processor 30 may include one or more processing units; alternatively, the processor 30 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 30.
Although not shown in fig. 4, the teaching evaluation system may further include a circuit control module, which is used for connecting with a power supply to ensure the normal operation of other components. Those skilled in the art will appreciate that the configuration of the instructional rating system shown in fig. 4 does not constitute a limitation of the instructional rating system, and may include more or less components than those shown, or some components in combination, or a different arrangement of components.
The invention also proposes a computer-readable storage medium on which a computer program is stored. The computer-readable storage medium may be the Memory 20 in the teaching evaluation system in fig. 4, and may also be at least one of a ROM (Read-Only Memory)/RAM (Random Access Memory), a magnetic disk, and an optical disk, where the computer-readable storage medium includes instructions for enabling a terminal device (which may be a television, an automobile, a mobile phone, a computer, a server, a terminal, or a network device) having a processor to execute the method according to the embodiments of the present invention.
In the present invention, the terms "first", "second", "third", "fourth" and "fifth" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance, and those skilled in the art can understand the specific meanings of the above terms in the present invention according to specific situations.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although the embodiment of the present invention has been shown and described, the scope of the present invention is not limited thereto, it should be understood that the above embodiment is illustrative and not to be construed as limiting the present invention, and that those skilled in the art can make changes, modifications and substitutions to the above embodiment within the scope of the present invention, and that these changes, modifications and substitutions should be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A teaching evaluation method is characterized by comprising the following steps:
acquiring voice information aiming at a target person, and generating a first file according to the voice information, wherein the first file reflects behavior records of the target person;
acquiring first image information of a scene where the target person is located, and generating a second file according to the first image information, wherein the second file reflects attendance records of the target person;
acquiring second image information generated based on the assessment operation submitted by the target person, and generating a third file according to the second image information, wherein the third file reflects the assessment record of the target person;
generating an evaluation result based on the first profile, the second profile, and the third profile.
2. The method of claim 1, wherein the obtaining voice information for the target person and generating a first file from the voice information comprises:
converting the voice information into character information;
inquiring the text information in a preset keyword library to obtain keywords in the text information and the number of each keyword, wherein N keywords are stored in the keyword library and are positive integers;
and generating the first file based on the keywords in the text information and the number of each keyword.
3. The method of claim 1, wherein the obtaining first image information of a scene in which the target person is located and generating a second file according to the first image information comprises:
identifying the first image information to obtain a first identification result, wherein the first identification result comprises target position information corresponding to the target person and image acquisition time of the first image information;
and generating the second archive based on the target position information and the image acquisition time.
4. The method of claim 3, wherein the attendance record comprises a first record and a second record, and wherein generating the second profile based on the target location information and the image acquisition time comprises:
generating the first record under the condition that the target position information is preset position information and the image acquisition time is within a preset time period;
and generating the second record under the condition that the target position information is not preset position information and the image acquisition time is in a preset time period.
5. The method of claim 1, wherein the obtaining second image information generated based on a qualification job submitted by the target person and generating a third profile from the second image information comprises:
identifying the second image information to obtain a second identification result, wherein the second identification result is a scanning result of scanning the examination operation submitted by the target person;
and generating the third archive based on the second recognition result.
6. The method of claim 5, wherein the second recognition result comprises a first topic and a second topic, and wherein generating the third profile based on the second recognition result comprises:
identifying the second image information to obtain the first question type and the second question type;
acquiring a first score corresponding to the first topic and a second score corresponding to the second topic;
determining the sum of the first score and the second score as a qualification score;
and generating the third file based on the assessment score.
7. The method of claim 1, wherein after all steps, the method further comprises:
receiving a query request input by a user for the evaluation result;
and sending the evaluation result corresponding to the query request to the user based on the query request.
8. A teaching evaluation system, comprising:
the first file module is used for acquiring voice information aiming at a target person and generating a first file according to the voice information, wherein the first file reflects the behavior record of the target person;
the second file module is used for acquiring first image information of a scene where the target person is located and generating a second file according to the first image information, wherein the second file reflects attendance records of the target person;
the third file module is used for acquiring second image information generated based on the examination operation submitted by the target person and generating a third file according to the second image information, wherein the third file reflects the examination record of the target person;
and the evaluation result module is used for generating an evaluation result based on the first archive, the second archive and the third archive.
9. The system of claim 8, further comprising:
the receiving module is used for receiving a query request input by a user aiming at the evaluation result;
and the sending module is used for sending the evaluation result corresponding to the query request to the user based on the query request.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, carries out the steps of the instructional evaluation method according to any one of claims 1 to 7.
CN202110141993.4A 2021-02-02 2021-02-02 Teaching evaluation method, system and computer readable storage medium Pending CN112926934A (en)

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