CN111583079A - Classroom teaching management system based on wireless network - Google Patents
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Abstract
The invention discloses a classroom teaching management system based on a wireless network, which comprises a cloud server, and a teacher end and a student end which are connected with the cloud server, wherein the teacher end is used for uploading learning resources to the cloud server and receiving student attendance, learning conditions and teaching evaluation information sent by the cloud server; the student end is used for uploading learning conditions, teaching evaluations and attendance checking conditions automatically, and interacting with the teacher end; the cloud server is used for storing teaching resources for the teacher end to call and storing and analyzing student attendance, learning conditions and teaching evaluation information fed back by the student end. The invention can realize systematization of classroom teaching, is beneficial to the timely interaction of teachers and students, helps teachers to know the attendance status and knowledge point grasping condition of students, is convenient for teachers to grasp the feedback of classroom teaching in real time, greatly improves the level of teaching management, stimulates the enthusiasm of students for learning, and has high application value in the future.
Description
Technical Field
The invention belongs to the technical field of education and teaching, and relates to a classroom teaching management system based on a wireless network.
Background
With the basic implementation of education modernization, the education informatization degree is gradually deepened, and more abundant various application contents are urgently needed to fill the informatization degree.
At present, schools know the learning conditions of students by performing various tests, and a teacher can conveniently provide personalized help for the students, but the students still have great difference, so that the teacher needs to consume great energy of the teacher when performing detailed analysis and research on each student in a traditional mode and can influence normal teaching; finally, teachers cannot clearly know the learning conditions of students through teaching in a classroom, and the teachers cannot conveniently conduct targeted teaching, so that the existing teaching system seriously influences the teaching quality and cannot objectively evaluate the teaching quality of teachers, the teaching quality cannot be improved, and meanwhile, information interaction between the classroom and the students is inconvenient; the teacher avoids the student skillfully mastering the pre-learning condition to avoid influencing the teaching progress.
Disclosure of Invention
The invention aims to provide a classroom teaching management system based on a wireless network, which solves the problems that a master teacher of the existing teaching system cannot pre-learn students, the students are prevented from skillfully mastering the pre-learning conditions, the teaching progress is influenced, and the attendance and learning conditions of the students cannot be clearly mastered, so that the teaching management level is difficult to improve; the lesson preparation time and the lesson supplementing time of the teacher are obtained through the lesson preparation classification module, the teacher can teach new contents through the lesson preparation time, meanwhile, the lesson supplementing time is used for teaching the students with insufficient preparation again, the knowledge point mastering efficiency of the students is effectively improved, the students can reasonably teach the students by obtaining the mastering degree of the contents to be previewed, and the teaching progress is improved.
The purpose of the invention can be realized by the following technical scheme:
a classroom teaching management system based on a wireless network comprises a cloud server, a teacher end and a student end, wherein the teacher end and the student end are connected with the cloud server, and the teacher end is used for uploading learning resources to the cloud server and receiving student attendance, learning conditions and teaching evaluation information sent by the cloud server;
the student end is respectively connected with the teacher end and the cloud server and is used for uploading learning conditions and teaching evaluations during classroom teaching, automatically uploading attendance conditions to the cloud server, downloading learning resources in the cloud server and performing information interaction with the teacher end;
the cloud server is used for storing teaching resources for the teacher end to fetch, storing identity information of the teacher and students, performing corresponding identity verification, storing student attendance, learning conditions and teaching evaluation information fed back by the student end, and analyzing the learning conditions and teaching evaluation of the students;
the student end comprises a second identity input module, a second data transceiving module, a second real-time interaction module, an automatic sign-in module, an information automatic pushing module, a task detection module and a teaching evaluation module;
the teacher end comprises a first identity input module, a first data transceiving module, a first real-time interaction module and an education display module;
the task detection module is connected with the real-time interaction module and used for collecting and analyzing the completion condition of the teaching task arranged by the teacher by the students, wherein the completion condition of the task comprises the online communication time with the teacher, the answer submitted by the students and the online communication score of the teacher to the students; the specific analysis steps are as follows:
the method comprises the following steps: marking the students as Xi, i ═ 1, 2, … …, n; set the duration of the on-line communication with the teacher to be labeled T1XiTeacher's score for student on-line communication is T2Xi；
Step two: sending the answers submitted by the students to a task allocation module in the cloud server for processing to obtain the task completion components of the students, which are marked as T3Xi；
Step three: using formulas
Obtaining the student's task completion value RWXi(ii) a Wherein b1, b2, b3 and b4 are all preset proportionality coefficients, T4XiNumber of assignments to students;
step four: sending the task completion value obtained by analysis to a second data sending module; after receiving the task completion value, the second data sending module sends the task completion value to a lesson preparation analysis module in the cloud server;
the lesson preparation analysis module is used for carrying out lesson preparation analysis on students corresponding to teachers, and comprises the following specific analysis steps:
s1: comparing task completion values of students corresponding to the teacher, and marking the students as lessees when the task completion values of the students are greater than a set threshold; when the task completion value of the student is less than or equal to the set threshold value, marking the student as a lesson supplementing student;
s2: counting the number of lesson preparation students and the number of lesson supplement students, and recording the number as M1 and M2;
s3: when M1 is greater than 4M2, generating a first lesson preparation instruction; when the number of the instruction is 4M2 is more than or equal to M1 and more than 3M2, a second lesson preparation instruction is generated; when the 3M2 is more than or equal to M1 and more than 2M2, generating a third lesson preparation instruction; when 2M2 is more than or equal to M1 and more than M2, generating a fourth lesson preparation instruction, and when M1 is more than M2, generating a lesson supplementing instruction;
s4: the lesson preparation analysis module sends a first lesson preparation instruction, a second lesson preparation instruction, a third lesson preparation instruction, a fourth lesson preparation instruction, a lesson supplementing instruction, the number of lesson preparation students and the task completion value of the students to the lesson preparation classification module.
Preferably, the lesson preparation classification module is used for classifying lessons for teachers, and comprises the following specific steps:
SS 1: setting the classroom duration as KT; after receiving a first lesson preparation instruction, the class time is the lesson preparation time, the lesson preparation time and the names of students corresponding to the lessees are sent to an education display module for display, and teachers prepare lessons according to the lesson preparation time and perform on-line communication of teaching tasks under the lessees;
SS 2: when receiving the second or third or fourth lesson preparation instruction, the formula is used
Calculating to obtain the lesson preparation time, and subtracting the lesson preparation time from the classroom time to obtain the lesson supplementing time; the lesson preparation time, the lesson supplementing time and the student names corresponding to the lesson supplementing students are sent to an education display module to be displayed, a teacher prepares lessons according to the lesson preparation time, and meanwhile, the teacher utilizes the lesson supplementing time to re-teach the teaching tasks of the students;
SS 3: and after receiving the instruction of supplementing lessons, the class time is the time of supplementing lessons, and the teacher utilizes the time of supplementing lessons to re-teach the teaching tasks of the students.
Preferably, the task allocation module is configured to allocate the answers submitted by the students and obtain corresponding task completion components, and the specific allocation steps are as follows:
the method comprises the following steps: acquiring task completion values of students, and selecting students with task completion values larger than or equal to a set preset value to be marked as students to be distributed; setting the task completion value of the student to be assigned as RWXjJ ∈ i, using the formula
Obtaining the distribution value F of the student to be distributedXjWherein d1 and d2 are preset proportionality coefficients; selecting the student to be distributed with the maximum distribution value as the selected student, and distributing the number of times T4 by the studentXjAdding once, sending the answers submitted by the students and the standard answers to a student end of the selected student, comparing the answers submitted by the selected student with the standard answers through the student end and inputting a corresponding score, sending the score to a task allocation module through the student end by the selected student, wherein the score is a task completion component of the student;
step two: when no task completion value of the student or the task completion value of the student is smaller than the preset value, the student submits the answer and the standard answer to be sent to a teacher end of the corresponding teacher directly, the teacher compares the student submitted answer with the standard answer through the teacher end and inputs the corresponding score, the teacher sends the score to the task allocation module through the teacher end, and the score is the task completion component of the student.
Preferably, the first identity input module is used for inputting a user name and a login password of a teacher and sending the input teacher login information to the first data sending module;
the first data receiving and sending module is used for carrying out data interaction between the teacher end and the cloud server;
the first real-time interaction module is connected with the student end through the first data transceiver module and is used for carrying out online communication and teaching task arrangement with students at the student end;
the education display module is connected with the first data transceiver module and used for displaying student attendance, learning conditions and teaching evaluation information sent by the cloud server.
Preferably, the second identity input module is used for inputting a user name and a login password of the student and sending the input student login information to the second data sending module;
the second data transceiver module is used for data interaction between the student end and the cloud server and data interaction between the teacher end and the student end;
the real-time interaction module is used for carrying out online communication with a teacher at a teacher end and completing a teaching task arranged by the teacher; the teaching task comprises teaching preview content and test questions;
the teaching evaluation module is used for evaluating the class condition of the teacher and the arranged teaching task and sending the evaluated information to the cloud server through the second data transceiver module;
the student terminal also comprises an automatic sign-in module and an automatic information pushing module;
the automatic sign-in module is internally provided with a position detection unit, a clock unit and an automatic trigger unit and is used for regularly detecting whether students with students are in a set teaching range within fixed time or not and sending detected attendance information of the students to the automatic information pushing module;
the automatic information pushing module is used for receiving whether the students sent by the automatic sign-in module continuously stay in a teaching range within teaching time or not, and sending the sign-in information of the students to the cloud server through the second data sending module.
The invention has the beneficial effects that:
1. the task detection module collects and analyzes the completion condition of a teaching task arranged by a teacher by students, submits answers to the students and sends the answers to the task distribution module in the cloud server for processing to obtain the task completion component of the students, obtains the task completion value of the students by using a formula, and sends the analyzed task completion value to the lesson preparation analysis module in the cloud server; the lesson preparation analysis module analyzes lessons of students corresponding to the teachers to obtain a first lesson preparation instruction, a second lesson preparation instruction, a third lesson preparation instruction, a fourth lesson preparation instruction, a lesson supplementing instruction, the number of lesson preparation students, the number of lesson supplementation students and task completion values of the students and sends the first lesson preparation instruction, the second lesson preparation instruction, the third lesson preparation instruction, the fourth lesson preparation instruction, the lesson supplementation instructions, the number of lesson preparation students and the; the lesson preparation classification module is used for classifying lessons for teachers, lesson preparation time and lesson supplementing time of the teachers are obtained through the lesson preparation classification module, the teachers can teach new contents through the lesson preparation time, meanwhile, the lesson supplementing time is used for teaching students with insufficient preparation, the efficiency of the students for mastering knowledge points is effectively improved, the students can reasonably teach the contents to be pre-learned through obtaining the mastering degree of the students, and the teaching progress is improved;
2. the cloud server is connected with the teacher end and the student end, so that systematization of classroom teaching can be realized, teachers and students can interact in time, the teachers and the students can be helped to know attendance conditions, knowledge point mastering conditions, teaching evaluation and the like of the students, the problem of answering the students is avoided, meanwhile, the teachers can conveniently master feedback of classroom teaching in real time, the teaching management level is greatly improved, enthusiasm of the students is stimulated, and the cloud server has high application value in the future.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a classroom teaching management system based on a wireless network according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention is a classroom teaching management system based on a wireless network, which includes a cloud server, and a teacher end and a student end connected with the cloud server;
the teacher end is used for uploading learning resources to the cloud server and receiving student attendance, learning conditions and teaching evaluation information sent by the cloud server;
the student end is respectively connected with the teacher end and the cloud server and is used for uploading learning conditions and teaching evaluations during classroom teaching, automatically uploading attendance conditions to the cloud server, downloading learning resources in the cloud server and performing information interaction with the teacher end;
the cloud server is used for storing teaching resources for the teacher end to fetch, storing identity information of the teacher and students, performing corresponding identity verification, storing student attendance, learning conditions and teaching evaluation information fed back by the student end, and analyzing the learning conditions and teaching evaluation of the students;
the teacher end comprises a first identity input module, a first data transceiving module, a modification and deletion module, a real-time interaction module and an education display module, wherein the first identity input module is used for inputting a user name and a login password of a teacher and sending the input teacher login information to a first data sending module;
the first data receiving and sending module is used for carrying out data interaction between the teacher end and the cloud server to realize rapid data transmission;
the modifying and deleting module is used for modifying and deleting the teaching resources, and after the identity verification of the teacher is successful, the teacher uploads the teaching resources through the teacher end and can arrange and edit the uploaded teaching resources;
the first real-time interaction module is connected with the student end and used for carrying out on-line communication with students at the student end, solving the problems of the students and simultaneously carrying out the arrangement of teaching tasks;
education display module is connected with first data transceiver module for show student's attendance, study situation and the teaching evaluation information that cloud server sent, the teacher of being convenient for knows the student condition of studying through teacher's end, improves the enthusiasm and the interest of teacher's teaching.
The student end comprises a second identity input module, a second data transceiver module, a second real-time interaction module, an automatic sign-in module, an information automatic pushing module, a task detection module and a teaching evaluation module;
the second identity input module is used for inputting the user name and the login password of the student and sending the input student login information to the second data sending module;
the second data transceiver module is used for performing data interaction between the student end and the cloud server and realizing rapid data transmission between the student end and the cloud server;
the second real-time interaction module is used for carrying out online communication with a teacher at a teacher end and completing a teaching task arranged by the teacher; the teaching task comprises teaching preview content and test questions; the test questions are test questions corresponding to the preview content;
the task detection module is connected with the real-time interaction module and used for collecting and analyzing the completion condition of the teaching task arranged by the teacher by the students, wherein the completion condition of the task comprises the online communication time with the teacher, the answer submitted by the students and the online communication score of the teacher to the students; the specific analysis steps are as follows:
the method comprises the following steps: marking the students as Xi, i ═ 1, 2, … …, n; set the duration of the on-line communication with the teacher to be labeled T1XiTeacher's score for student on-line communication is T2Xi；
Step two: sending the answers submitted by the students to a task allocation module in the cloud server for processing to obtain the task completion components of the students, which are marked as T3Xi；
Step three: using formulas
Obtaining the student's task completion value RWXi(ii) a Wherein b1, b2, b3 and b4 are all preset proportionality coefficients, T4XiNumber of assignments to students;
step four: sending the task completion value obtained by analysis to a second data sending module; after receiving the task completion value, the second data sending module sends the task completion value to a lesson preparation analysis module in the cloud server;
the lesson preparation analysis module is used for carrying out lesson preparation analysis on students corresponding to teachers, and comprises the following specific analysis steps:
s1: comparing task completion values of students corresponding to the teacher, and marking the students as lessees when the task completion values of the students are greater than a set threshold; when the task completion value of the student is less than or equal to the set threshold value, marking the student as a lesson supplementing student;
s2: counting the number of lesson preparation students and the number of lesson supplement students, and recording the number as M1 and M2;
s3: when M1 is greater than 4M2, generating a first lesson preparation instruction; when the number of the instruction is 4M2 is more than or equal to M1 and more than 3M2, a second lesson preparation instruction is generated; when the 3M2 is more than or equal to M1 and more than 2M2, generating a third lesson preparation instruction; when 2M2 is more than or equal to M1 and more than M2, generating a fourth lesson preparation instruction, and when M1 is more than M2, generating a lesson supplementing instruction;
s4: the lesson preparation analysis module sends a first lesson preparation instruction, a second lesson preparation instruction, a third lesson preparation instruction, a fourth lesson preparation instruction, a lesson supplementing instruction, the number of lesson preparation students and the task completion value of the students to a lesson preparation classification module;
the class preparation classification module is used for classifying the classes of the teachers, and comprises the following specific steps:
SS 1: setting the classroom duration as KT; after receiving a first lesson preparation instruction, the class time is the lesson preparation time, the lesson preparation time and the names of students corresponding to the lessees are sent to an education display module for display, and teachers prepare lessons according to the lesson preparation time and perform on-line communication of teaching tasks under the lessees;
SS 2: when receiving the second or third or fourth lesson preparation instruction, the formula is used
Calculating to obtain the class preparation time length, subtracting the class preparation time lengthThe class duration obtains the class supplementing duration; the lesson preparation time, the lesson supplementing time and the student names corresponding to the lesson supplementing students are sent to an education display module to be displayed, a teacher prepares lessons according to the lesson preparation time, and meanwhile, the teacher utilizes the lesson supplementing time to re-teach the teaching tasks of the students;
SS 3: after receiving the instruction of supplementing lessons, the class time is the time of supplementing lessons, and the teacher uses the time of supplementing lessons to re-teach the teaching tasks of the students; the class preparation time and the class supplementing time of a teacher are obtained through the class preparation classification module, the teacher can teach new contents through the class preparation time, meanwhile, the class supplementing time is used for teaching the students with insufficient preparation for pre-study again, the efficiency of the students in mastering knowledge points is effectively improved, the students can reasonably teach the pre-study contents by obtaining the mastering degree of the pre-study contents, and the teaching progress is improved;
the task allocation module is used for allocating the answers submitted by the students and acquiring corresponding task completion components, and the specific allocation steps are as follows:
the method comprises the following steps: acquiring task completion values of students, and selecting students with task completion values larger than or equal to a set preset value to be marked as students to be distributed; setting the task completion value of the student to be assigned as RWXjJ ∈ i, using the formula
Obtaining the distribution value F of the student to be distributedXjWherein d1 and d2 are preset proportionality coefficients; selecting the student to be distributed with the maximum distribution value as the selected student, and distributing the number of times T4 by the studentXjAdding once, sending the answers submitted by the students and the standard answers to a student end of the selected student, comparing the answers submitted by the selected student with the standard answers through the student end and inputting a corresponding score, sending the score to a task allocation module through the student end by the selected student, wherein the score is a task completion component of the student;
step two: when no task completion value of the student or the task completion value of the student is smaller than a preset value, the student submits an answer and a standard answer to be directly sent to a teacher end of a corresponding teacher, the teacher compares the student submitted answer with the standard answer through the teacher end and inputs a corresponding score, and the teacher sends the score to a task allocation module through the teacher end, wherein the score is a task completion component of the student;
the automatic sign-in module is internally provided with a position detection unit, a clock unit and an automatic trigger unit, and is used for regularly detecting whether a student with a student end is in a set teaching range within fixed time, the position detection unit is used for positioning by a GPS and is used for detecting the position information of the student with the student end, the clock unit is used for displaying the current moment information, the automatic trigger unit is connected with the position detection unit and is used for regularly sending a position detection control instruction to the position detection unit and controlling the position detection unit to carry out position detection, and once the student is detected not to be in the fixed teaching range, the automatic sign-in module sends information that the student is not in the classroom range to the automatic information pushing module;
the information automatic pushing module is connected with the second data sending module and used for receiving whether the students sent by the automatic sign-in module continuously stay in a teaching range within teaching time or not and sending the sign-in information of the students to the cloud server through the second data sending module;
and the teaching evaluation module is used for evaluating the class condition of the teacher and the arranged teaching task and sending the evaluated information to the cloud server through the second data transceiver module.
The cloud server comprises a data storage module, an information integration and analysis module and a third data transceiver module;
the third data transceiver module is respectively connected with the first data transceiver module of the teacher end and the second data transceiver module of the student end and is used for carrying out data communication between the cloud server and the teacher end and the student end;
the data storage module is connected with the third data transceiving module and used for storing learning resources uploaded by teachers, storing identity information of teachers and students and storing student attendance information, task completion amount and teaching evaluation contents uploaded by students.
The information integration and analysis module is used for receiving the completion condition of the teaching task sent by the student end, the check-in condition and the teaching evaluation condition, sorting and analyzing the received information, further analyzing the examination rate of the student, and arranging the completion amount of the task and the teaching evaluation of the teacher.
The identity authentication information of each student and each teacher is unique, so that the condition that other students verify the identity authentication information and replace card punching is avoided.
The teacher goes out the student condition of attendance, arranges task completion condition and teaching evaluation etc. that the teacher shows through the teacher customer end, can have the student of being directed to and impart knowledge once more, effectively improves the efficiency that the student mastered the knowledge point, has improved the teaching level simultaneously.
The cloud server is connected with the teacher end and the student end, so that systematization of classroom teaching can be realized, teachers and students can interact in time, the teachers can be helped to know attendance conditions, knowledge point mastering conditions, teaching evaluation and the like of the students, the problem of student response is avoided, meanwhile, the teachers can conveniently master feedback of classroom teaching in real time, the teaching management level is greatly improved, the learning enthusiasm of the students is stimulated, and the cloud server has high application value in the future; the task detection module collects and analyzes the completion condition of the teaching task of the student to the teacher, the student submits the answer to the task distribution module in the cloud server for processing to obtain the task completion component of the student, and a formula is used
Obtaining the student's task completion value RWXiSending the task completion value obtained by analysis to a lesson preparation analysis module in the cloud server; the lesson preparation analysis module analyzes lessons of students corresponding to the teachers to obtain a first lesson preparation instruction, a second lesson preparation instruction, a third lesson preparation instruction, a fourth lesson preparation instruction, a lesson supplementing instruction, the number of lesson preparation students, the number of lesson supplementation students and task completion values of the students and sends the first lesson preparation instruction, the second lesson preparation instruction, the third lesson preparation instruction, the fourth lesson preparation instruction, the lesson supplementation instructions, the number of lesson preparation students and the; prepare lesson classification module and be used for preparing lessons the teacher categorised, it is long when long and mend lesson to obtain the teacher through preparing lesson classification module, and the teacher can be long teaching new content through preparing lesson, utilizes long giving lesson to be ready for student's secondary teaching not enough in advance simultaneously, effectively carries and puts forwardThe efficiency of knowledge point is mastered to the high student, rationally imparts knowledge to students through the mastery degree that acquires the student to the content of previewing, improves the progress of imparting knowledge to students.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (5)
1. The utility model provides a classroom teaching management system based on wireless network, includes cloud ware and teacher's end and student's end be connected with cloud ware, its characterized in that: the teacher end is used for uploading learning resources to the cloud server and receiving student attendance, learning conditions and teaching evaluation information sent by the cloud server;
the student end is respectively connected with the teacher end and the cloud server and is used for uploading learning conditions and teaching evaluations during classroom teaching, automatically uploading attendance conditions to the cloud server, downloading learning resources in the cloud server and performing information interaction with the teacher end;
the cloud server is used for storing teaching resources for the teacher end to fetch, storing identity information of the teacher and students, performing corresponding identity verification, storing student attendance, learning conditions and teaching evaluation information fed back by the student end, and analyzing the learning conditions and teaching evaluation of the students;
the student end comprises a second identity input module, a second data transceiving module, a second real-time interaction module, an automatic sign-in module, an information automatic pushing module, a task detection module and a teaching evaluation module;
the teacher end comprises a first identity input module, a first data transceiving module, a first real-time interaction module, an education display module and a lesson preparation classification module;
the task detection module is connected with the first real-time interaction module and used for collecting and analyzing the completion condition of the teaching task arranged by the teacher by the students, wherein the completion condition of the task comprises the online communication time with the teacher, the answer submitted by the students and the online communication score of the teacher to the students; the specific analysis steps are as follows:
the method comprises the following steps: marking the students as Xi, i ═ 1, 2, … …, n; set the duration of the on-line communication with the teacher to be labeled T1XiTeacher's score for student on-line communication is T2Xi；
Step two: sending the answers submitted by the students to a task allocation module in the cloud server for processing to obtain the task completion components of the students, which are marked as T3Xi；
Step three: using formulas
Obtaining the student's task completion value RWXi(ii) a Wherein b1, b2, b3 and b4 are all preset proportionality coefficients, T4XiNumber of assignments to students;
step four: sending the task completion value obtained by analysis to a second data sending module; after receiving the task completion value, the second data sending module sends the task completion value to a lesson preparation analysis module in the cloud server;
the lesson preparation analysis module is used for carrying out lesson preparation analysis on students corresponding to teachers, and comprises the following specific analysis steps:
s1: comparing task completion values of students corresponding to the teacher, and marking the students as lessees when the task completion values of the students are greater than a set threshold; when the task completion value of the student is less than or equal to the set threshold value, marking the student as a lesson supplementing student;
s2: counting the number of lesson preparation students and the number of lesson supplement students, and recording the number as M1 and M2;
s3: when M1 is greater than 4M2, generating a first lesson preparation instruction; when the number of the instruction is 4M2 is more than or equal to M1 and more than 3M2, a second lesson preparation instruction is generated; when the 3M2 is more than or equal to M1 and more than 2M2, generating a third lesson preparation instruction; when 2M2 is more than or equal to M1 and more than M2, generating a fourth lesson preparation instruction, and when M1 is more than M2, generating a lesson supplementing instruction;
s4: the lesson preparation analysis module sends a first lesson preparation instruction, a second lesson preparation instruction, a third lesson preparation instruction, a fourth lesson preparation instruction, a lesson supplementing instruction, the number of lesson preparation students and the task completion value of the students to the lesson preparation classification module.
2. The wireless network based classroom teaching management system according to claim 1, wherein: the class preparation classification module is used for classifying the classes of the teachers, and comprises the following specific steps:
SS 1: setting the classroom duration as KT; after receiving a first lesson preparation instruction, the class time is the lesson preparation time, the lesson preparation time and the names of students corresponding to the lessees are sent to an education display module for display, and teachers prepare lessons according to the lesson preparation time and perform on-line communication of teaching tasks under the lessees;
SS 2: when receiving the second or third or fourth lesson preparation instruction, the formula is used
Calculating to obtain the lesson preparation time, and subtracting the lesson preparation time from the classroom time to obtain the lesson supplementing time; the lesson preparation time, the lesson supplementing time and the student names corresponding to the lesson supplementing students are sent to an education display module to be displayed, a teacher prepares lessons according to the lesson preparation time, and meanwhile, the teacher utilizes the lesson supplementing time to re-teach the teaching tasks of the students;
SS 3: and after receiving the instruction of supplementing lessons, the class time is the time of supplementing lessons, and the teacher utilizes the time of supplementing lessons to re-teach the teaching tasks of the students.
3. The wireless network based classroom teaching management system according to claim 1, wherein: the task allocation module is used for allocating the answers submitted by the students and acquiring corresponding task completion components, and the specific allocation steps are as follows:
the method comprises the following steps: acquiring task completion values of students, and selecting students with task completion values larger than or equal to a set preset value to be marked as students to be distributed; setting the task completion value of the student to be assigned as RWxiJ ∈ i, using the formula
Obtaining the distribution value F of the student to be distributedXjWherein d1 and d2 are preset proportionality coefficients; selecting the student to be distributed with the maximum distribution value as the selected student, and distributing the number of times T4 by the studentXjAdding once, sending the answers submitted by the students and the standard answers to a student end of the selected student, comparing the answers submitted by the selected student with the standard answers through the student end and inputting a corresponding score, sending the score to a task allocation module through the student end by the selected student, wherein the score is a task completion component of the student;
step two: when no task completion value of the student or the task completion value of the student is smaller than the preset value, the student submits the answer and the standard answer to be sent to a teacher end of the corresponding teacher directly, the teacher compares the student submitted answer with the standard answer through the teacher end and inputs the corresponding score, the teacher sends the score to the task allocation module through the teacher end, and the score is the task completion component of the student.
4. The wireless network based classroom teaching management system according to claim 1, wherein: the first identity input module is used for inputting a user name and a login password of a teacher and sending the input teacher login information to the first data sending module;
the first data receiving and sending module is used for carrying out data interaction between the teacher end and the cloud server;
the first real-time interaction module is connected with the student end through the first data transceiver module and is used for carrying out online communication and teaching task arrangement with students at the student end;
the education display module is connected with the first data transceiver module and used for displaying student attendance, learning conditions and teaching evaluation information sent by the cloud server.
5. The wireless network based classroom teaching management system according to claim 1, wherein: the second identity input module is used for inputting a user name and a login password of a student and sending the input student login information to the second data sending module;
the second data transceiver module is used for data interaction between the student end and the cloud server and data interaction between the teacher end and the student end;
the second real-time interaction module is used for carrying out online communication with a teacher at a teacher end and completing a teaching task arranged by the teacher; the teaching task comprises teaching preview content and test questions;
the teaching evaluation module is used for evaluating the class condition of the teacher and the arranged teaching task and sending the evaluated information to the cloud server through the second data transceiver module;
the student terminal also comprises an automatic sign-in module and an automatic information pushing module;
the automatic sign-in module is internally provided with a position detection unit, a clock unit and an automatic trigger unit and is used for regularly detecting whether students with students are in a set teaching range within fixed time or not and sending detected attendance information of the students to the automatic information pushing module;
the information automatic pushing module is used for receiving whether the students sent by the automatic sign-in module continuously stay in a teaching range within teaching time or not and sending the student sign-in information to the cloud server through the second data sending module;
the cloud server also comprises a data storage module, an information integration and analysis module and a third data transceiver module;
the third data transceiver module is respectively connected with the first data transceiver module of the teacher end and the second data transceiver module of the student end and is used for carrying out data communication between the cloud server and the teacher end and the student end;
the data storage module is connected with the third data transceiving module and is used for storing learning resources uploaded by teachers, identity information of teachers and students and student attendance information, task completion amount and teaching evaluation content uploaded by students;
the information integration and analysis module is used for receiving the completion condition of the teaching task sent by the student end, the check-in condition and the teaching evaluation condition, sorting and analyzing the received information, further analyzing the examination rate of the student, and arranging the completion amount of the task and the teaching evaluation of the teacher.
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| CN202010497551.9A CN111583079A (en) | 2020-06-03 | 2020-06-03 | Classroom teaching management system based on wireless network |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113434229A (en) * | 2021-06-22 | 2021-09-24 | 武汉虎山行传媒科技有限公司 | Education and teaching cloud desktop intelligent analysis management method and system and computer storage medium |
| CN114999249A (en) * | 2022-06-20 | 2022-09-02 | 杨见会 | Remote teaching system, method and storage medium based on cloud platform |
| CN116071205A (en) * | 2023-03-07 | 2023-05-05 | 北京师范大学 | Campus education informatization management platform based on artificial intelligence |
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2020
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113434229A (en) * | 2021-06-22 | 2021-09-24 | 武汉虎山行传媒科技有限公司 | Education and teaching cloud desktop intelligent analysis management method and system and computer storage medium |
| CN114999249A (en) * | 2022-06-20 | 2022-09-02 | 杨见会 | Remote teaching system, method and storage medium based on cloud platform |
| CN116071205A (en) * | 2023-03-07 | 2023-05-05 | 北京师范大学 | Campus education informatization management platform based on artificial intelligence |
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