CN117494714A - Intelligent teaching management system and method for preschool education - Google Patents

Intelligent teaching management system and method for preschool education Download PDF

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CN117494714A
CN117494714A CN202410000181.1A CN202410000181A CN117494714A CN 117494714 A CN117494714 A CN 117494714A CN 202410000181 A CN202410000181 A CN 202410000181A CN 117494714 A CN117494714 A CN 117494714A
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teaching
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刘丽芳
赵西祥
田吉伟
李世慧
胡振江
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Langlang Education Technology Co ltd
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Abstract

The invention relates to the technical field of preschool education management, and discloses an intelligent teaching management system and method for preschool education, wherein the system comprises a teaching problem point input management module, a teaching problem point answering management module and a teaching problem point feedback management module; the problem of the students on the teaching knowledge points in the preschool education is rapidly collected by adopting a voice or handwriting mode, so that the accuracy and the speed for collecting the problem points of the preschool education students are improved; the jackal wolf optimization algorithm is adopted to accurately identify whether the sensitive words exist in the knowledge point problems of the students in the preschool education class, the knowledge point problems of the students in the preschool education class containing the sensitive words and the students without the sensitive words are scientifically classified, the sensitive words are automatically screened and filtered, the questioning quality of the preschool education students on the knowledge point problems in the class is ensured, and the teaching effect of preschool education is promoted.

Description

Intelligent teaching management system and method for preschool education
Technical Field
The invention relates to the technical field of preschool education management, in particular to an intelligent teaching management system and method for preschool education.
Background
The infant management system is a special software developed by combining the working and management characteristics of a kindergarten by using a computer software technology. It should possess all basic elements of management software, and must also embody special functional characteristics of preschool education industry. Although the kindergarten management system belongs to smaller industrial software in the whole industrial management system, the professional requirement is higher than that of a general smaller management system, and particularly, the kindergarten management system is related to special functions of the kindergarten, such as diet nutrition analysis and child physique assessment, and needs a developer and a user to have certain professional knowledge. Kindergarten management systems have been developed to explore the actual needs of many kindergartens in the management process. The system covers various activities related to the kindergarten, including daily office management, infant information management, infant growth archive management, nutrition recipe management, health care management, charge management, logistics management, education and teaching management, safety delivery management and other management modules; the kindergarten management system has comprehensive functions and user-defined functions, meets the daily requirement of kindergarten management, improves the management level of the kindergarten, and greatly improves the daily work efficiency; the teaching management is a serious problem in infant management systems, the current preschool education teaching process mainly depends on the teacher to answer the students, is limited by the knowledge level of the teacher and the teaching time of the classroom, cannot comprehensively cover all the students, causes that the students in the teaching cannot be timely and accurately answered, reduces the learning thinking depth and the learning enthusiasm of the students, and increases the teaching difficulty and the teaching workload of the teacher.
The Chinese patent with publication number of CN104951873A discloses a preschool education interaction cloud platform system, wherein a background management account is adopted to log in a server through a web, a parent end user, a teacher end user and a garden long end user respectively log in the parent end system, the teacher end system and the garden long end system through mobile terminals; each garden long-end system, each teacher-end system and each parent-end system comprise a user interaction interface module, a user login module, a circle module and a message module; the user interaction interface module comprises a main control panel, a plurality of auxiliary control panels and a panel control menu, wherein the panel control menu can control the switching between different panels; the user login module comprises a user name identification unit, wherein the user name identification unit is used for comparing an input user name with a preset user name rule; the user registered by the user login module can issue dialog boxes of the circle sub-module including but not limited to text, pictures and video voice information, and the dialog boxes are displayed in a dialog box list of the user side; simultaneously, the published information is uploaded to the server and pushed to a dialog box list of other user terminals; each dialogue unit in the dialogue box list is provided with a comment tag and an evaluation tag; the message module is used for users to issue interactive text or voice information with other users in a specific group, and in the scheme, the answering of students about teaching knowledge in the classroom teaching process is absent, so that the divergent thinking of the students about knowledge points is not facilitated to be increased, and the learning enthusiasm of the students and the acceptance of the knowledge points are reduced.
Disclosure of Invention
(one) solving the technical problems
In order to solve the problem that the teaching management is important in the infant management system, the teaching process of preschool education at present mainly depends on teachers to answer students in the classroom, is limited by the knowledge level of the teachers and the teaching time of the classroom, cannot comprehensively cover all the students, causes that the students in the teaching cannot be timely and accurately answered, reduces the learning thinking depth and the learning enthusiasm of the students, increases the difficulty and the workload of the teacher teaching, realizes the personalized learning answering, intelligently screens sensitive words, comprehensively solves the learning questions and the answering feedback of key problem points of all the students, promotes the learning thinking of the students, increases the enthusiasm of the students to learn, and improves the preschool education quality.
(II) technical scheme
The invention is realized by the following technical scheme: an intelligent teaching management method for preschool education, the method comprising the steps of:
s1, acquiring knowledge point problem data of students in preschool education class;
s2, carrying out sensitive keyword recognition on the preschool education classroom student knowledge point problem data and the student knowledge point answering sensitive words by adopting a data analysis algorithm, and generating student knowledge point problem sensitive word analysis result data;
S3, according to the analysis result data of the student knowledge point problem sensitive words, respectively executing continuous student problem point answering or reminding students to ask questions again;
s4, when the problem point answering of the students is met, invoking knowledge point problem data of the students in the preschool education class;
s5, keyword searching is carried out on the called preschool education classroom student knowledge point problem data on an Internet searching platform to identify a problem answer matched with the knowledge point problem, and answering result data of preschool education classroom students are generated and output;
s6, counting the occurrence times of the student knowledge point problem data of the preschool education class called with the same knowledge point problem keywords, and generating preschool education knowledge point problem consultation times;
and S7, carrying out numerical comparison on the preschool education knowledge point problem consultation times and the knowledge point problem consultation early warning times, generating a student knowledge point problem consultation state, and feeding back preschool education classroom student knowledge point problem data exceeding the consultation early warning times according to the student knowledge point problem consultation state.
Preferably, the operation steps for collecting the knowledge point problem data of the students in the preschool education class are as follows:
S11, acquiring preschool education teaching classroom student knowledge point problem data through voice input or handwriting input of students on the surface of the tablet by using an electronic pen
Preferably, the operation steps of identifying the data of the student knowledge points in the preschool education class and the sensitive word of the student knowledge point answering by adopting a data analysis algorithm and generating analysis result data of the sensitive word of the student knowledge points are as follows:
s21, establishing a student knowledge point answering sensitive word setWherein->Indicate->Answering sensitive words by individual student knowledge points, < ->Representing the maximum number of the sensitive words of the student knowledge point answering, wherein the sensitive words comprise at least one of political tendency words, violent tendency words, unhealthy color words and non-civilization words;
s22, teaching preschool education classroom student knowledge point problem dataTraversing the student knowledge point answering sensitive word set by adopting a data analysis algorithm>Middle school student knowledge point answering sensitive word +.>Sensitive word recognition is carried out, and data analysis algorithm is adopted to recognize teaching point problem data of preschool education classroom students>The sensitive word is operated as follows:
s221, searching a space model, wherein the jackal wolf population initialization mathematical formula is as follows
In the formula->Is the position of the initial jackal wolf population, namely the jackal wolf population is in the set of sensitive words answered by the student knowledge points +. >Searching for a location in space; rand is [0,1]Random number within range,/->Andthe upper and lower boundaries of the solution problem are respectively, namely, the answering sensitive word set at the knowledge points of students +.>Middle search and preschool education classroom student knowledge point problem data +>Matched student knowledge point answer sensitive word +.>Upper and lower boundaries of (2);
s222, searching for prey, identifying jackfruit by using sensitive words, and knowing how to answer the set of sensitive words at the knowledge points of studentsMiddle perception and following and preschool education classroom student knowledge point problem data>Matched student knowledge point answering sensitive wordIs the hunting object of the teaching class student knowledge point problem data of occasional preschool education +.>Matched student knowledge point answer sensitive word +.>The prey is not caught and escapes, the sensitive word recognizes jackal and waits and searches other knowledge point problem data of students in preschool education and teaching class +.>Matched student knowledge point answer sensitive word +.>Female sensitive word recognition jackal wolves follow male sensitive word recognition jackal wolves, and the position update formula of the male sensitive word recognition jackal wolves for searching for the hunting object is as followsThe position updating formula for identifying jackal wolf search hunting by female sensitive words isThe method comprises the steps of carrying out a first treatment on the surface of the Wherein t is the current iteration number; prey (t) is the position of the Prey for the t-th iteration; / >、/>Respectively identifying the positions of jackfruit for male sensitive words and female sensitive words of the t-th iteration; />、/>Respectively identifying jackal wolves and female jackal wolves according to male sensitive words of the t-th iteration and corresponding to the prey, wherein E is escape energy of the prey, and the position after updating is identified by the female sensitive wordsThe calculation formula is->Wherein->Indicating the course of decline in prey energy, +.>Indicating an initial state of prey energy, +.>Wherein->Is [0,1]Random numbers within a range; />Wherein T is the maximum number of iterations; />Is a constant and takes a value of 1.5; t is the current iteration number, < >>Representing a random number based on a Lewy distribution, < >>The calculation formula of (2) is
Wherein->Is a vegetable-dimensional flight function;
in summary, sensitive words identify jackal wolves to answer sensitive word sets at student knowledge pointsThe location update formula of (2) isWherein Y (t+1) is the sensitive word recognition jackal wolf after t+1st iteration and answers the sensitive word set ++in the student knowledge point>Is a position of (2);
s223, surrounding and attacking hunting objects, when the hunting objects are matched with knowledge point problem data of students in preschool education and teaching classMatched student knowledge point answer sensitive word +.>When the prey of the jackal wolves are invaded by the sensitive word recognition jackal wolves, the escape energy of the prey is reduced, then the sensitive word recognition jackal wolves are surrounded by the detected prey, and when the sensitive word recognition jackal wolves are matched with the knowledge point problem data of the students in preschool education and teaching class >Matched student knowledge point answer sensitive word +.>After surrounding the prey, start to attack and swallow the data of the knowledge points of students in preschool education class +.>Matched student knowledge point answer sensitive word +.>Male sensitive word recognition jackfruit search for prey of the formula +.>The position update formula of female sensitive word recognition jackal wolf search hunting is +.>
S224, outputting the knowledge point problem data of the students in the preschool education class when the algorithm meets the maximum iteration numberSensitive word set for answering with student knowledge points +.>Middle school student knowledge point answering sensitive word +.>Analysis result, when->And->If the key words are successfully matched, outputting analysis result data of the student knowledge point problem sensitive words as the preschool education classroom student knowledge point problem data +.>Sensitive words are included in the Chinese character;
when (when)And->If the keywords are not successfully matched, outputting analysis result data of the student knowledge point problem sensitive words as the preschool education classroom student knowledge point problem data>There is no sensitive word in the list.
Preferably, the operation steps of respectively executing the continuous question answering of the student or reminding the student to ask a question again according to the analysis result data of the student knowledge point question sensitive word are as follows:
s31, acquiring analysis result data of the student knowledge point problem sensitive words in S224;
S32, as teaching classroom student knowledge point problem dataIf the sensitive words exist, reminding the students to ask questions again through voice equipment;
as preschool education classroom student knowledge point problem dataIf no sensitive word exists, the question point answering of the students is continued.
Preferably, when meeting the requirement of continuing the answering of the student question points, the operation steps of calling the preschool education classroom student knowledge point question data are as follows:
s41, directly calling the preschool education classroom student knowledge point problem data when the problem point answering of the students is satisfied
Preferably, the keyword search is performed on the called preschool education classroom student knowledge point problem data on an internet search platform to identify a problem answer matched with the knowledge point problem, and the operation steps of generating and outputting preschool education classroom student answering result data are as follows:
s51, acquiring knowledge point problem data of students in preschool education class
S52, teaching preschool classroom student knowledge point problem dataDialog box input to Internet search platform, the said Internet search platform according to preschool education teaching classroom student knowledge point question data +.>The key words of the middle knowledge point problem are searched out on line to obtain the knowledge point problem data of students in preschool education class +. >Generating and outputting answering result data of preschool education classroom students according to the matched answers of questions>The Internet searching platform comprises at least one of a hundred-degree searching platform, a dog searching platform and a google searching platform;
s53, generating preschool education classroom student answering result dataAnd outputting by means of text, pictures and videos.
Preferably, the operation steps of counting the occurrence times of the knowledge point problem data of the students in the preschool education class and generating the preschool education knowledge point problem consultation times are as follows:
s61, counting the preschool education classroom student knowledge point problem data with the same knowledge point problem keywords as those in S41And generates the number of times of consulting the preschool education knowledge point problem +.>
Preferably, the numerical comparison is performed on the preschool education knowledge point problem consultation times and the knowledge point problem consultation early warning times, a student knowledge point problem consultation state is generated, and the operation steps of feeding back the preschool education classroom student knowledge point problem data exceeding the consultation early warning times according to the student knowledge point problem consultation state are as follows:
S71, acquiring the number of times of consultation of the preschool education knowledge point problem
S72, constructing knowledge point problem consultation early warning times
S73, consulting the preschool education knowledge point problem timesInformation about knowledge pointsNumber of polling and early warning->Comparing the values to generate a student knowledge point problem consultation state +.>
When (when)≤/>Data representing the same preschool education class student knowledge point problem>If the occurrence frequency of the information is not more than the consultation early warning frequency, the consultation state of the student knowledge point problem is +.>To allow continued problem consultation;
when (when)>/>Data representing the same preschool education class student knowledge point problem>If the occurrence frequency of the (a) exceeds the consultation early warning frequency, the student knowledge point problem consultation state is +.>To prohibit continued problem consultation;
s74, when the knowledge point problem consultation state of the student is metTo prohibit the continuation of the problem consultation, will +.>>/>Inquiry frequency of middle and preschool education knowledge point problem>Corresponding preschool education classroom student knowledge point problem data +.>The intelligent testing system is characterized in that the intelligent testing system is pushed and fed back to a teacher testing end through the Internet of things, and the teacher testing end comprises at least one of a smart phone testing end, a tablet testing end and a teaching computer testing end.
The system for realizing the intelligent teaching management method for preschool education comprises a teaching problem point input management module, a teaching problem point answering management module and a teaching problem point feedback management module;
The teaching problem point input management module comprises a teaching knowledge problem point acquisition unit, a student sensitive word storage unit, a teaching knowledge problem point analysis unit and a teaching knowledge problem point execution unit;
the teaching knowledge problem point acquisition unit acquires the teaching knowledge point problem data of the students in the preschool teaching classroom through handwriting of the voice or the students on the surface of the tablet by using an electronic pen; the student sensitive word storage unit is used for storing student knowledge point answering sensitive words; the teaching knowledge question point analysis unit is used for identifying the sensitive key words of the preschool teaching classroom student knowledge point question data and the student knowledge point answering sensitive words by adopting a data analysis algorithm, and generating student knowledge point question sensitive word analysis result data; the teaching knowledge question point executing unit is used for respectively executing continuous question point answering of the students or reminding the students to ask questions again according to the analysis result data of the student knowledge point question sensitive words;
the teaching question point answer management module comprises a teaching knowledge question point calling unit, a teaching knowledge question point searching and identifying unit and a teaching knowledge question point answer output unit;
the teaching knowledge question point calling unit is used for calling the teaching knowledge point question data of the preschool teaching classroom students when the question point answer of the students is met; the teaching knowledge question point searching and identifying unit searches keywords on the called preschool teaching classroom student knowledge point question data on an Internet searching platform to identify a question answer matched with the knowledge point question; the teaching knowledge question point answer output unit is used for outputting answering result data of preschool education classroom students;
The teaching problem point feedback management module comprises a teaching knowledge problem point consultation frequency metering unit, a teaching knowledge problem point consultation frequency overrun early warning unit and a teaching knowledge problem point consultation feedback unit;
the teaching knowledge point consultation frequency metering unit is used for counting the occurrence frequency of calling the preschool education classroom student knowledge point problem data with the same knowledge point problem keywords and generating preschool education knowledge point problem consultation frequency; the teaching knowledge problem point consultation frequency overrun early-warning unit is used for storing knowledge point problem consultation early-warning frequency; the teaching knowledge point consultation feedback unit is used for carrying out numerical comparison on the preschool education knowledge point problem consultation times and the knowledge point problem consultation early warning times, generating a student knowledge point problem consultation state and feeding back preschool education classroom student knowledge point problem data exceeding the consultation early warning times according to the student knowledge point problem consultation state.
(III) beneficial effects
The invention provides an intelligent teaching management system and method for preschool education. The beneficial effects are as follows:
1. the problem of the students on the teaching knowledge points in the preschool education is rapidly collected by the teaching knowledge point collection unit in a voice or handwriting mode, so that the accuracy and the speed of collecting the preschool education student problem points are improved; the teaching knowledge problem point analysis unit and the teaching knowledge problem point execution unit are matched with each other, a jackwolf optimization algorithm is adopted to accurately identify whether the intelligent words exist in the teaching point problems of the preschool students, the teaching point problems of the preschool students containing the intelligent words and the preschool students not containing the intelligent words are processed through scientific classification, the intelligent words are screened and filtered autonomously, the questioning quality of the preschool students to the teaching point problems is guaranteed, and the teaching effect of preschool teaching is promoted.
2. The preschool education classroom student knowledge point problems meeting the answering of the continuous teaching knowledge point problems are screened and called through a teaching knowledge point calling unit, so that the accuracy and quality of preschool education knowledge point problem consultation are ensured; the teaching knowledge question point search and identification unit and the teaching knowledge question point answer output unit are mutually matched to accurately search out the question answers and output feedback by utilizing the Internet search platform for the preschool teaching classroom student knowledge point questions meeting the question requirements, so that the learning questions of all students in preschool teaching can be comprehensively and efficiently solved, the questions of all preschool students can be ensured to be individually learned and answered, and the enthusiasm of student learning is increased.
3. The number of times of occurrence of the student knowledge point problems in the preschool teaching class is counted on line through the mutual cooperation of the teaching knowledge point consultation number of times metering unit and the teaching knowledge point consultation number of times overrun early warning unit, and the consultation early warning number of times of the same knowledge point problems are set, so that students are helped to timely feed back the student knowledge point problems which are not accurately answered; the teaching knowledge point consultation feedback unit automatically measures whether the occurrence times of the same preschool education classroom student knowledge point problems exceeds the knowledge point problem consultation early warning times in real time, and autonomously feeds back the knowledge point problems exceeding the consultation early warning times, so that the important problems which are not accurately answered are fed back in time, the accurate answering of the preschool education student teaching knowledge point problems is ensured, the teaching quality of the preschool education student is ensured, and the teaching burden of preschool education teachers is reduced.
Drawings
FIG. 1 is a schematic diagram of a smart teaching management system for preschool education according to the present invention;
FIG. 2 is a flow chart of an intelligent teaching management method for preschool education.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the intelligent teaching management system and method for preschool education is as follows:
referring to fig. 1-2, a smart teaching management method for preschool education, the method comprises the following steps:
s1, acquiring knowledge point problem data of students in preschool education class;
s2, carrying out sensitive keyword recognition on the preschool education classroom student knowledge point problem data and the student knowledge point answering sensitive words by adopting a data analysis algorithm, and generating student knowledge point problem sensitive word analysis result data;
S3, according to analysis result data of the student knowledge point problem sensitive words, respectively executing continuous student problem point answering or reminding students to ask questions again;
s4, when the problem point answering of the students is met, invoking the knowledge point problem data of the students in the preschool education class;
s5, keyword searching is carried out on the called preschool education classroom student knowledge point problem data on an Internet searching platform to identify a problem answer matched with the knowledge point problem, and preschool education classroom student answering result data is generated and output;
s6, counting the occurrence times of the knowledge point problem data of students in the preschool education class called with the same knowledge point problem keywords, and generating preschool education knowledge point problem consultation times;
and S7, carrying out numerical comparison on the preschool education knowledge point problem consultation times and the knowledge point problem consultation early warning times, generating a student knowledge point problem consultation state, and feeding back the preschool education classroom student knowledge point problem data exceeding the consultation early warning times according to the student knowledge point problem consultation state.
Further, referring to fig. 1-2, the operation steps for collecting knowledge point problem data of students in preschool education class are as follows:
s11, acquiring preschool education teaching classroom student knowledge point problem data through voice input or handwriting input of students on the surface of the tablet by using an electronic pen
The data analysis algorithm is adopted to identify the sensitive key words of the preschool education classroom student knowledge point problem data and the student knowledge point answering sensitive words, and the operation steps of generating the analysis result data of the student knowledge point problem sensitive words are as follows:
s21, establishing a student knowledge point answering sensitive word setWherein->Indicate->Answering sensitive words by individual student knowledge points, < ->Representing the maximum number of the sensitive words of the student knowledge point answering, wherein the sensitive words comprise at least one of political tendency words, violent tendency words, unhealthy color words and non-civilization words;
s22, teaching preschool education classroom student knowledge point problem dataTraversing the student knowledge point answering sensitive word set by adopting a data analysis algorithm>Middle school student knowledge point answering sensitive word +.>Sensitive word recognition is carried out, and preschool education is recognized by adopting a data analysis algorithmTeaching classroom student knowledge point problem data +.>The sensitive word is operated as follows:
s221, searching a space model, wherein the jackal wolf population initialization mathematical formula is as follows
In the formula->Is the position of the initial jackal wolf population, namely the jackal wolf population is in the set of sensitive words answered by the student knowledge points +.>Searching for a location in space; rand is [0,1]Random number within range,/->Andthe upper and lower boundaries of the solution problem are respectively, namely, the answering sensitive word set at the knowledge points of students +. >Middle search and preschool education classroom student knowledge point problem data +>Matched student knowledge point answer sensitive word +.>Upper and lower boundaries of (2);
s222, searching for prey, identifying jackfruit by using sensitive words, and knowing how to answer the set of sensitive words at the knowledge points of studentsMiddle perception and following and preschool education classroom student knowledge point problem data>Matched student knowledge point answering sensitive wordIs the hunting object of the teaching class student knowledge point problem data of occasional preschool education +.>Matched student knowledge point answer sensitive word +.>The prey is not caught and escapes, the sensitive word recognizes jackal and waits and searches other knowledge point problem data of students in preschool education and teaching class +.>Matched student knowledge point answer sensitive word +.>Female sensitive word recognition jackal wolves follow male sensitive word recognition jackal wolves, and the position update formula of the male sensitive word recognition jackal wolves for searching for the hunting object is as followsThe position updating formula for identifying jackal wolf search hunting by female sensitive words isThe method comprises the steps of carrying out a first treatment on the surface of the Wherein t is the current iteration number; prey (t) is the position of the Prey for the t-th iteration; />、/>Respectively identifying the positions of jackfruit for male sensitive words and female sensitive words of the t-th iteration; />、/>Respectively identifying the positions of the jackal wolves after updating for the male sensitive words and the female sensitive words corresponding to the prey of the t-th iteration, wherein E is escape energy of the prey, and the calculation formula is +. >Wherein->Indicating the course of decline in prey energy, +.>Indicating an initial state of prey energy, +.>Wherein->Is [0,1]Random numbers within a range; />Wherein T is the maximum number of iterations; />Is a constant and takes a value of 1.5; t is the current iteration number, < >>Representing a random number based on a Lewy distribution, < >>The calculation formula of (2) is
Wherein->Is a vegetable-dimensional flight function;
in summary, sensitive words identify jackal wolves to answer sensitive word sets at student knowledge pointsThe location update formula of (2) isWherein Y (t+1) is the sensitive word recognition jackal wolf after t+1st iteration and answers the sensitive word set ++in the student knowledge point>Is a position of (2);
s223, surrounding and attacking hunting objects, when the hunting objects are matched with knowledge point problem data of students in preschool education and teaching classMatched student knowledge point answer sensitive word +.>When the prey of the jackal wolves are invaded by the sensitive word recognition jackal wolves, the escape energy of the prey is reduced, then the sensitive word recognition jackal wolves are surrounded by the detected prey, and when the sensitive word recognition jackal wolves are matched with the knowledge point problem data of the students in preschool education and teaching class>Matched student knowledge point answer sensitive word +.>After surrounding the prey, start to attack and swallow the data of the knowledge points of students in preschool education class +.>Matched student knowledge point answer sensitive word +. >Male sensitive word recognition jackfruit search for prey of the formula +.>The position update formula of female sensitive word recognition jackal wolf search hunting is +.>
S224, outputting the knowledge point problem data of the students in the preschool education class when the algorithm meets the maximum iteration numberSensitive word set for answering with student knowledge points +.>Middle school student knowledge point answering sensitive word +.>Analysis result, when->And->If the key words are successfully matched, outputting analysis result data of the student knowledge point problem sensitive words as the preschool education classroom student knowledge point problem data +.>Sensitive words are included in the Chinese character;
when (when)And->If the keywords are not successfully matched, outputting analysis result data of the student knowledge point problem sensitive words as the preschool education classroom student knowledge point problem data>There is no sensitive word in the list.
According to the analysis result data of the student knowledge point problem sensitive words, the operation steps of continuing the student problem point answering or reminding the student to ask questions again are respectively executed as follows:
s31, acquiring analysis result data of the student knowledge point problem sensitive words in S224;
s32, teaching classroom learning as preschool educationKnowledge point question dataIf the sensitive words exist, reminding the students to ask questions again through voice equipment;
as preschool education classroom student knowledge point problem data If no sensitive word exists, the question point answering of the students is continued.
The problem of the students on the teaching knowledge points in the preschool education is rapidly collected by the teaching knowledge point collection unit in a voice or handwriting mode, so that the accuracy and the speed of collecting the preschool education student problem points are improved; the teaching knowledge problem point analysis unit and the teaching knowledge problem point execution unit are matched with each other, a jackwolf optimization algorithm is adopted to accurately identify whether the intelligent words exist in the teaching point problems of the preschool students, the teaching point problems of the preschool students containing the intelligent words and the preschool students not containing the intelligent words are processed through scientific classification, the intelligent words are screened and filtered autonomously, the questioning quality of the preschool students to the teaching point problems is guaranteed, and the teaching effect of preschool teaching is promoted.
Further, referring to fig. 1-2, when the question point answering of the students is satisfied, the operation steps of calling the knowledge point question data of the students in the preschool education class are as follows:
s41, directly calling the preschool education classroom student knowledge point problem data when the problem point answering of the students is satisfied
The method comprises the following steps of carrying out keyword search on called preschool education classroom student knowledge point problem data on an Internet search platform to identify a problem answer matched with the knowledge point problem, and generating and outputting preschool education classroom student answering result data:
S51, acquiring knowledge point problem data of students in preschool education class
S52, teaching preschool classroom student knowledge point problem dataDialog box input to internet search platform, internet search platform according to preschool education classroom student knowledge point problem data +.>The key words of the middle knowledge point problem are searched out on line to obtain the knowledge point problem data of students in preschool education class +.>Generating and outputting answering result data of preschool education classroom students according to the matched answers of questions>The Internet searching platform comprises at least one of a hundred-degree searching platform, a dog searching platform and a google searching platform;
s53, generating preschool education classroom student answering result dataAnd outputting by means of text, pictures and videos.
The preschool education classroom student knowledge point problems meeting the answering of the continuous teaching knowledge point problems are screened and called through a teaching knowledge point calling unit, so that the accuracy and quality of preschool education knowledge point problem consultation are ensured; the teaching knowledge question point search and identification unit and the teaching knowledge question point answer output unit are mutually matched to accurately search out the question answers and output feedback by utilizing the Internet search platform for the preschool teaching classroom student knowledge point questions meeting the question requirements, so that the learning questions of all students in preschool teaching can be comprehensively and efficiently solved, the questions of all preschool students can be ensured to be individually learned and answered, and the enthusiasm of student learning is increased.
Further, referring to fig. 1-2, the operation steps of counting the occurrence times of the knowledge point problem data of the students in the preschool education class called with the same knowledge point problem keywords and generating the preschool education knowledge point problem consultation times are as follows:
s61, counting the preschool education classroom student knowledge point problem data with the same knowledge point problem keywords as those in S41And generates the number of times of consulting the preschool education knowledge point problem +.>
Numerical comparison is carried out on the preschool education knowledge point problem consultation times and the knowledge point problem consultation early warning times, a student knowledge point problem consultation state is generated, and the preschool education classroom student knowledge point problem data exceeding the consultation early warning times is fed back according to the student knowledge point problem consultation state, wherein the operation steps are as follows:
s71, acquiring the number of times of consultation of the preschool education knowledge point problem
S72, constructing knowledge point problem consultation early warning times
S73, consulting the preschool education knowledge point problem timesConsultation early warning times of knowledge point problem>Comparing the values to generate a student knowledge point problem consultation state +.>
When (when)≤/>Data representing the same preschool education class student knowledge point problem >If the occurrence frequency of the information is not more than the consultation early warning frequency, the consultation state of the student knowledge point problem is +.>To allow continued problem consultation;
when (when)>/>Data representing the same preschool education class student knowledge point problem>If the occurrence frequency of the (a) exceeds the consultation early warning frequency, the student knowledge point problem consultation state is +.>To prohibit continued problem consultation;
s74, when the knowledge point problem consultation state of the student is metTo prohibit the continuation of the problem consultation, will +.>>/>Inquiry frequency of middle and preschool education knowledge point problem>Corresponding preschool education classroom student knowledge point problem data +.>Push feedback to teacher's inspection end through thing networking, teacher's inspection end packageComprises at least one of a smart phone inspection end, a tablet inspection end and a teaching computer inspection end.
The number of times of occurrence of the student knowledge point problems in the preschool teaching class is counted on line through the mutual cooperation of the teaching knowledge point consultation number of times metering unit and the teaching knowledge point consultation number of times overrun early warning unit, and the consultation early warning number of times of the same knowledge point problems are set, so that students are helped to timely feed back the student knowledge point problems which are not accurately answered; the teaching knowledge point consultation feedback unit automatically measures whether the occurrence times of the same preschool education classroom student knowledge point problems exceeds the knowledge point problem consultation early warning times in real time, and autonomously feeds back the knowledge point problems exceeding the consultation early warning times, so that the important problems which are not accurately answered are fed back in time, the accurate answering of the preschool education student teaching knowledge point problems is ensured, the teaching quality of the preschool education student is ensured, and the teaching burden of preschool education teachers is reduced.
The system for realizing the intelligent teaching management method for preschool education comprises a teaching problem point input management module, a teaching problem point answering management module and a teaching problem point feedback management module;
the teaching problem point input management module comprises a teaching knowledge problem point acquisition unit, a student sensitive word storage unit, a teaching knowledge problem point analysis unit and a teaching knowledge problem point execution unit;
the teaching knowledge problem point acquisition unit acquires the teaching knowledge point problem data of the students in the preschool teaching classroom through handwriting on the surface of the tablet by voice or the students by using an electronic pen; the student sensitive word storage unit is used for storing student knowledge point answering sensitive words; the teaching knowledge problem point analysis unit is used for identifying the sensitive key words of the preschool teaching classroom student knowledge point problem data and the student knowledge point answering sensitive words by adopting a data analysis algorithm, and generating student knowledge point problem sensitive word analysis result data; the teaching knowledge question point execution unit is used for respectively executing continuous question point answering of the students or reminding the students to ask questions again according to the analysis result data of the student knowledge point question sensitive words;
the teaching question point answer management module comprises a teaching knowledge question point calling unit, a teaching knowledge question point searching and identifying unit and a teaching knowledge question point answer output unit;
The teaching knowledge question point calling unit is used for calling the teaching knowledge point question data of the preschool teaching classroom students when the question point answer of the students is met; the teaching knowledge question point searching and identifying unit searches keywords on the called preschool teaching classroom student knowledge point question data on an Internet searching platform to identify a question answer matched with the knowledge point question; the teaching knowledge question point answer output unit is used for outputting answering result data of preschool education classroom students;
the teaching problem point feedback management module comprises a teaching knowledge problem point consultation frequency metering unit, a teaching knowledge problem point consultation frequency overrun early warning unit and a teaching knowledge problem point consultation feedback unit;
the teaching knowledge point consultation frequency metering unit is used for counting the occurrence frequency of the teaching point problem data of the students in the preschool teaching class which are called by the same knowledge point problem keywords and generating preschool teaching knowledge point problem consultation frequency; the over-limit early warning unit for the consultation times of the teaching knowledge points is used for storing the consultation early warning times of the knowledge points; and the teaching knowledge point consultation feedback unit is used for carrying out numerical comparison on the preschool education knowledge point problem consultation times and the knowledge point problem consultation early warning times, generating a student knowledge point problem consultation state and feeding back preschool education classroom student knowledge point problem data exceeding the consultation early warning times according to the student knowledge point problem consultation state.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (9)

1. An intelligent teaching management method for preschool education, which is characterized by comprising the following steps:
s1, acquiring knowledge point problem data of students in preschool education class;
s2, carrying out sensitive keyword recognition on the preschool education classroom student knowledge point problem data and the student knowledge point answering sensitive words by adopting a data analysis algorithm, and generating student knowledge point problem sensitive word analysis result data;
s3, according to the analysis result data of the student knowledge point problem sensitive words, respectively executing continuous student problem point answering or reminding students to ask questions again;
s4, when the problem point answering of the students is met, invoking knowledge point problem data of the students in the preschool education class;
s5, keyword searching is carried out on the called preschool education classroom student knowledge point problem data on an Internet searching platform to identify a problem answer matched with the knowledge point problem, and answering result data of preschool education classroom students are generated and output;
S6, counting the occurrence times of the student knowledge point problem data of the preschool education class called with the same knowledge point problem keywords, and generating preschool education knowledge point problem consultation times;
and S7, carrying out numerical comparison on the preschool education knowledge point problem consultation times and the knowledge point problem consultation early warning times, generating a student knowledge point problem consultation state, and feeding back preschool education classroom student knowledge point problem data exceeding the consultation early warning times according to the student knowledge point problem consultation state.
2. The intelligent teaching management method for preschool education according to claim 1, wherein: the operation steps for collecting the knowledge point problem data of the preschool education class students are as follows:
s11, acquiring preschool education teaching classroom student knowledge point problem data through voice input or handwriting input of students on the surface of the tablet by using an electronic pen
3. An intelligent teaching management method for preschool education according to claim 2 wherein: the data analysis algorithm is adopted to identify the sensitive keywords of the student knowledge point problem data and the sensitive word of the student knowledge point answering in the preschool education class, and the operation steps of generating the analysis result data of the student knowledge point problem sensitive word are as follows:
S21, establishing a student knowledge point answering sensitive word set,/>Wherein->Indicate->Answering sensitive words by individual student knowledge points, < ->Representing the maximum number of the sensitive words of the student knowledge point answering, wherein the sensitive words comprise at least one of political tendency words, violent tendency words, unhealthy color words and non-civilization words;
s22, teaching preschool education classroom student knowledge point problem dataTraversing the student knowledge point answering sensitive word set by adopting a data analysis algorithm>Middle school student knowledge point answering sensitive word +.>Sensitive word recognition is carried out, and data analysis algorithm is adopted to recognize teaching point problem data of preschool education classroom students>The sensitive word is operated as follows:
s221, searching a space model, wherein the jackal wolf population initialization mathematical formula is as follows
In the formula->Is the position of the initial jackal wolf population, namely the jackal wolf population is in the set of sensitive words answered by the student knowledge points +.>Searching for a location in space; rand is [0,1]Random number within range,/->And->The upper and lower boundaries of the solution problem are respectively, namely, the answering sensitive word set at the knowledge points of students +.>Middle search and preschool education classroom student knowledge point problem data +>Matched student knowledge point answer sensitive word +.>Upper and lower boundaries of (2);
s222, searching for prey, identifying jackfruit by using sensitive words, and knowing how to answer the set of sensitive words at the knowledge points of students Middle perception and following and preschool education classroom student knowledge point problem data>Matched student knowledge point answer sensitive word +.>Is the hunting object of the teaching class student knowledge point problem data of occasional preschool education +.>Matched student knowledge point answer sensitive word +.>The prey is not caught and escapes, the sensitive word recognizes jackal and waits and searches other knowledge point problem data of students in preschool education and teaching class +.>Matched student knowledge point answer sensitive word +.>Female sensitive word recognition jackal wolves follow male sensitive word recognition jackal wolves, and the position update formula of the male sensitive word recognition jackal wolves for searching for hunting is +.>The position update formula of female sensitive word recognition jackal wolf search hunting is +.>The method comprises the steps of carrying out a first treatment on the surface of the Wherein t is the current iteration number; prey (t) is the position of the Prey for the t-th iteration; />、/>Respectively identifying the positions of jackfruit for male sensitive words and female sensitive words of the t-th iteration; />、/>Respectively identifying the positions of the jackal wolves after updating for the male sensitive words and the female sensitive words corresponding to the prey of the t-th iteration, wherein E is escape energy of the prey, and the calculation formula is +.>Wherein->Indicating the course of decline in prey energy, +.>Indicating an initial state of prey energy, +. >Wherein->Is [0,1]Random numbers within a range; />Wherein T is the maximum number of iterations; />Is a constant and takes a value of 1.5; t is the current iteration number, < >>Representing a random number based on a Lewy distribution, < >>The calculation formula of (2) is
Wherein->Is a vegetable-dimensional flight function;
in summary, sensitive words identify jackal wolves to answer sensitive word sets at student knowledge pointsThe location update formula of (2) isWherein Y (t+1) is the sensitive word recognition jackal wolf after t+1st iteration and answers the sensitive word set ++in the student knowledge point>Is a position of (2);
s223, surrounding and attacking hunting objects, when the hunting objects are matched with knowledge point problem data of students in preschool education and teaching classMatched student knowledge point answer sensitive word +.>When the prey of the jackal wolves are invaded by the sensitive word recognition jackal wolves, the escape energy of the prey is reduced, then the sensitive word recognition jackal wolves are surrounded by the detected prey, and when the sensitive word recognition jackal wolves are matched with the knowledge point problem data of the students in preschool education and teaching class>Matched student knowledge point answer sensitive word +.>After surrounding the prey, start to attack and swallow the data of the knowledge points of students in preschool education class +.>Matched student knowledge point answer sensitive word +.>Male sensitive word recognition jackfruit search for prey of the formula +. >The position update formula of female sensitive word recognition jackal wolf search hunting is +.>
S224, outputting the knowledge point problem data of the students in the preschool education class when the algorithm meets the maximum iteration numberSensitive word set for answering with student knowledge points +.>Middle school student knowledge point answering sensitive word +.>Analysis result, when->And->If the key words are successfully matched, outputting analysis result data of the student knowledge point problem sensitive words as the preschool education classroom student knowledge point problem dataSensitive words are included in the Chinese character;
when (when)And->If the keyword is not successfully matched, outputting a student knowledge point problemThe analysis result data of the sensitive words is the knowledge point problem data of the students in the preschool education class>There is no sensitive word in the list.
4. A method of intelligent teaching management for preschool education according to claim 3 wherein: the operation steps of respectively executing the continuous question answering of the students or reminding the students to ask questions again according to the analysis result data of the student knowledge point question sensitive words are as follows:
s31, acquiring analysis result data of the student knowledge point problem sensitive words in S224;
s32, as teaching classroom student knowledge point problem dataIf the sensitive words exist, reminding the students to ask questions again through voice equipment;
as preschool education classroom student knowledge point problem data If no sensitive word exists, the question point answering of the students is continued.
5. The intelligent teaching management method for preschool education according to claim 4, wherein: when the problem point answering of the students is met, the operation steps of calling the knowledge point problem data of the students in the preschool education class are as follows:
s41, directly calling the preschool education classroom student knowledge point problem data when the problem point answering of the students is satisfied
6. The intelligent teaching management method for preschool education according to claim 5 wherein: the called preschool education classroom student knowledge point problem data carries out keyword search on an Internet search platform to identify a problem answer matched with the knowledge point problem, and the operation steps of generating and outputting preschool education classroom student answering result data are as follows:
s51, acquiring knowledge point problem data of students in preschool education class
S52, teaching preschool classroom student knowledge point problem dataDialog box input to Internet search platform, the said Internet search platform according to preschool education teaching classroom student knowledge point question data +.>The key words of the middle knowledge point problem are searched out on line to obtain the knowledge point problem data of students in preschool education class +. >Generating and outputting answering result data of preschool education classroom students according to the matched answers of questions>The Internet searching platform comprises at least one of a hundred-degree searching platform, a dog searching platform and a google searching platform;
s53, generating preschool education classroom student answering result dataAnd outputting by means of text, pictures and videos.
7. The intelligent teaching management method for preschool education according to claim 6 wherein: the operation steps of counting the occurrence times of the student knowledge point problem data of the preschool education class and generating the preschool education knowledge point problem consultation times of the preschool education class, which are called by the same knowledge point problem keywords, are as follows:
s61, counting the preschool education classroom student knowledge point problem data with the same knowledge point problem keywords as those in S41And generates the number of times of consulting the preschool education knowledge point problem +.>
8. The intelligent teaching management method for preschool education according to claim 7 wherein: the method comprises the following steps of comparing the number of the preschool education knowledge point problem consultation with the number of the knowledge point problem consultation early warning, generating a student knowledge point problem consultation state, and feeding back the preschool education classroom student knowledge point problem data exceeding the number of the consultation early warning according to the student knowledge point problem consultation state:
S71, acquiring the number of times of consultation of the preschool education knowledge point problem
S72, constructing knowledge point problem consultation early warning times
S73, consulting the preschool education knowledge point problem timesConsultation early warning times of knowledge point problem>Comparing the values to generate a student knowledge point problem consultation state +.>
When (when)≤/>Data representing the same preschool education class student knowledge point problem>If the occurrence frequency of the information is not more than the consultation early warning frequency, the consultation state of the student knowledge point problem is +.>To allow continued problem consultation;
when (when)>/>Data representing the same preschool education class student knowledge point problem>If the occurrence frequency of the (a) exceeds the consultation early warning frequency, the student knowledge point problem consultation state is +.>To prohibit continued problem consultation;
s74, when the knowledge point problem consultation state of the student is metTo prohibit the continuation of the problem consultation, will +.>>/>Teaching knowledge of middle and preschool educationPoint problem consultation number->Corresponding preschool education classroom student knowledge point problem data +.>The intelligent testing system is characterized in that the intelligent testing system is pushed and fed back to a teacher testing end through the Internet of things, and the teacher testing end comprises at least one of a smart phone testing end, a tablet testing end and a teaching computer testing end.
9. A system for implementing an intelligent teaching management method for preschool education according to any of claims 1-8 characterized in that: the system comprises a teaching problem point input management module, a teaching problem point answering management module and a teaching problem point feedback management module;
The teaching problem point input management module comprises a teaching knowledge problem point acquisition unit, a student sensitive word storage unit, a teaching knowledge problem point analysis unit and a teaching knowledge problem point execution unit;
the teaching knowledge problem point acquisition unit acquires the teaching knowledge point problem data of the students in the preschool teaching classroom through handwriting of the voice or the students on the surface of the tablet by using an electronic pen; the student sensitive word storage unit is used for storing student knowledge point answering sensitive words; the teaching knowledge question point analysis unit is used for identifying the sensitive key words of the preschool teaching classroom student knowledge point question data and the student knowledge point answering sensitive words by adopting a data analysis algorithm, and generating student knowledge point question sensitive word analysis result data; the teaching knowledge question point executing unit is used for respectively executing continuous question point answering of the students or reminding the students to ask questions again according to the analysis result data of the student knowledge point question sensitive words;
the teaching question point answer management module comprises a teaching knowledge question point calling unit, a teaching knowledge question point searching and identifying unit and a teaching knowledge question point answer output unit;
the teaching knowledge question point calling unit is used for calling the teaching knowledge point question data of the preschool teaching classroom students when the question point answer of the students is met; the teaching knowledge question point searching and identifying unit searches keywords on the called preschool teaching classroom student knowledge point question data on an Internet searching platform to identify a question answer matched with the knowledge point question; the teaching knowledge question point answer output unit is used for outputting answering result data of preschool education classroom students;
The teaching problem point feedback management module comprises a teaching knowledge problem point consultation frequency metering unit, a teaching knowledge problem point consultation frequency overrun early warning unit and a teaching knowledge problem point consultation feedback unit;
the teaching knowledge point consultation frequency metering unit is used for counting the occurrence frequency of calling the preschool education classroom student knowledge point problem data with the same knowledge point problem keywords and generating preschool education knowledge point problem consultation frequency; the teaching knowledge problem point consultation frequency overrun early-warning unit is used for storing knowledge point problem consultation early-warning frequency; the teaching knowledge point consultation feedback unit is used for carrying out numerical comparison on the preschool education knowledge point problem consultation times and the knowledge point problem consultation early warning times, generating a student knowledge point problem consultation state and feeding back preschool education classroom student knowledge point problem data exceeding the consultation early warning times according to the student knowledge point problem consultation state.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117830045A (en) * 2024-03-06 2024-04-05 朗朗教育科技股份有限公司 Infant education intelligent teaching system and method based on big data

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101296154A (en) * 2007-04-28 2008-10-29 上海盛大网络发展有限公司 Automatic answering system
CN104794947A (en) * 2015-04-01 2015-07-22 广东小天才科技有限公司 Teaching situation feedback method and teaching situation feedback device
CN104809920A (en) * 2015-04-01 2015-07-29 广东小天才科技有限公司 Personalized learning method and learning device
CN110111619A (en) * 2019-03-21 2019-08-09 南京林业大学 Electronic platform of assistant and its assiatant's method
CN110674403A (en) * 2019-09-26 2020-01-10 武汉曲飞科技有限公司 Multifunctional information platform for laboratory
CN111311131A (en) * 2020-04-14 2020-06-19 康佳集团股份有限公司 Intelligent classroom teaching behavior analysis method, storage medium and intelligent television
US20200242953A1 (en) * 2017-10-20 2020-07-30 Shenzhen Eaglesoul Technology Co., Ltd. Internet teaching platform-based following teaching system
CN111833672A (en) * 2020-08-05 2020-10-27 北京育宝科技有限公司 Teaching video display method, device and system
CN112530220A (en) * 2020-12-23 2021-03-19 北京星恒教育科技有限公司 Online live broadcast and examination system for vocational education
CN113434375A (en) * 2021-06-22 2021-09-24 浙江工贸职业技术学院 Publicity system for public management
CN114120731A (en) * 2021-12-16 2022-03-01 金陵科技学院 Wisdom classroom interactive system of answering a question
CN115858534A (en) * 2022-12-16 2023-03-28 西南交通大学 Service value chain service data feature selection method based on jackal optimization algorithm
CN116664352A (en) * 2023-04-03 2023-08-29 安徽大学 Comprehensive management platform and system for electronic chemical institute
CN116951398A (en) * 2023-08-08 2023-10-27 哈尔滨电气科学技术有限公司 Model optimization control method and system for reducing left and right steam temperature deviation of boiler reheater
CN117314700A (en) * 2023-11-27 2023-12-29 朗朗教育科技股份有限公司 Dual-teacher teaching management method and system for preschool education

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101296154A (en) * 2007-04-28 2008-10-29 上海盛大网络发展有限公司 Automatic answering system
CN104794947A (en) * 2015-04-01 2015-07-22 广东小天才科技有限公司 Teaching situation feedback method and teaching situation feedback device
CN104809920A (en) * 2015-04-01 2015-07-29 广东小天才科技有限公司 Personalized learning method and learning device
US20200242953A1 (en) * 2017-10-20 2020-07-30 Shenzhen Eaglesoul Technology Co., Ltd. Internet teaching platform-based following teaching system
CN110111619A (en) * 2019-03-21 2019-08-09 南京林业大学 Electronic platform of assistant and its assiatant's method
CN110674403A (en) * 2019-09-26 2020-01-10 武汉曲飞科技有限公司 Multifunctional information platform for laboratory
CN111311131A (en) * 2020-04-14 2020-06-19 康佳集团股份有限公司 Intelligent classroom teaching behavior analysis method, storage medium and intelligent television
CN111833672A (en) * 2020-08-05 2020-10-27 北京育宝科技有限公司 Teaching video display method, device and system
CN112530220A (en) * 2020-12-23 2021-03-19 北京星恒教育科技有限公司 Online live broadcast and examination system for vocational education
CN113434375A (en) * 2021-06-22 2021-09-24 浙江工贸职业技术学院 Publicity system for public management
CN114120731A (en) * 2021-12-16 2022-03-01 金陵科技学院 Wisdom classroom interactive system of answering a question
CN115858534A (en) * 2022-12-16 2023-03-28 西南交通大学 Service value chain service data feature selection method based on jackal optimization algorithm
CN116664352A (en) * 2023-04-03 2023-08-29 安徽大学 Comprehensive management platform and system for electronic chemical institute
CN116951398A (en) * 2023-08-08 2023-10-27 哈尔滨电气科学技术有限公司 Model optimization control method and system for reducing left and right steam temperature deviation of boiler reheater
CN117314700A (en) * 2023-11-27 2023-12-29 朗朗教育科技股份有限公司 Dual-teacher teaching management method and system for preschool education

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
HADI GIVI 等: "Red Panda Optimization Algorithm: An Effective Bio-Inspired Metaheuristic Algorithm for Solving Engineering Optimization Problems", 《IEEE ACCESS》, vol. 11, 6 June 2023 (2023-06-06), pages 57203 - 57227 *
MANJHI, R 等: "Optimal Allocation of DGs in Radial Distribution Network for Power Loss Minimization based on LSF and GJO Algorithm", 《 2022 IEEE 2ND INTERNATIONAL SYMPOSIUM ON SUSTAINABLE ENERGY, SIGNAL PROCESSING AND CYBER SECURITY (ISSSC)》, 28 February 2023 (2023-02-28), pages 1 - 6 *
朱健 等: "构建大学智慧课堂――有效提升教学效果", 《电脑知识与技术》, vol. 12, no. 15, 31 December 2016 (2016-12-31), pages 187 - 189 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117830045A (en) * 2024-03-06 2024-04-05 朗朗教育科技股份有限公司 Infant education intelligent teaching system and method based on big data
CN117830045B (en) * 2024-03-06 2024-05-07 朗朗教育科技股份有限公司 Infant education intelligent teaching system and method based on big data

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