CN110689226A - Student information backup management system and method based on live broadcast teaching - Google Patents

Student information backup management system and method based on live broadcast teaching Download PDF

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Publication number
CN110689226A
CN110689226A CN201910797596.5A CN201910797596A CN110689226A CN 110689226 A CN110689226 A CN 110689226A CN 201910797596 A CN201910797596 A CN 201910797596A CN 110689226 A CN110689226 A CN 110689226A
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China
Prior art keywords
information
student
personal characteristic
login
learning state
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Chinese (zh)
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邢志清
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Pattern Business Education Science And Technology (shenzhen) Co Ltd
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Pattern Business Education Science And Technology (shenzhen) Co Ltd
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Priority to CN201910797596.5A priority Critical patent/CN110689226A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance

Abstract

The disclosure provides a student information preparation management system and method based on live teaching. The system comprises an information input module, a data processing module and a data processing module, wherein the information input module is used for inputting personal characteristic information of a student; the information processing module is used for classifying the personal characteristic information of the trainees according to classes and storing the classified information to a system server; the information login module is used for receiving the personal characteristic information of the login student, comparing the personal characteristic information of the login student with the information stored in the system server, and after the comparison is successful, the student normally logs in; the information recording module is used for recording the learning state of a normally logged student and generating a learning state report according to the learning state; and the information analysis module is used for analyzing the learning state report and sending information to the information receiving terminal according to the analysis result. In this way, a large amount of network resources can be saved, and the teaching quality of live broadcast teaching is greatly improved.

Description

Student information backup management system and method based on live broadcast teaching
Technical Field
The invention relates to the field of computers, in particular to a student information preparation management system and method based on live teaching.
Background
With the rapid development of communication technology, the internet is widely popularized, the social behaviors and knowledge acquisition modes of people are thoroughly changed, the teaching means and tools such as WeChat, micro-class, micro-teaching assistance, discussion and teaching are introduced into the classroom, and a 3.0 teaching mode characterized by 'internet + education' is generated. For example, a certain business college subverts the traditional management education mode by using a new internet technical means, builds a panoramic immersive live broadcast interactive teaching system, creates the business colleges around the enterprise, and reconstructs a management education ecosphere.
However, many problems are exposed in the live webcasting teaching. First, since the teacher can not control the learning status of each student because of autonomous learning on the network, the teacher has a great limitation for students who have poor autonomous learning. Secondly, absent further verification of the login process, the trainee can log in the system at any time period, resulting in waste of network resources.
Disclosure of Invention
In a first aspect of the disclosure, a live-broadcast-teaching-student-based information preparation management system is provided. The system comprises:
the information input module is used for inputting personal characteristic information of the trainees;
the information processing module is used for classifying the personal characteristic information of the trainees according to classes and storing the classified information to a system server;
the information login module is used for receiving the personal characteristic information of the login student, comparing the personal characteristic information of the login student with the information stored in the system server, and after the comparison is successful, the student normally logs in;
the information recording module is used for recording the learning state of a normally logged student and generating a learning state report according to the learning state;
and the information analysis module is used for analyzing the learning state report and sending information to the information receiving terminal according to the analysis result.
Further, the classifying by class includes:
classifying according to class information; the class information comprises subject information and class time information.
Further, the information login module is specifically configured to:
receiving personal characteristic information of a login student;
comparing the personal characteristic information of the student with the personal characteristic information of the student stored in the system server, acquiring login time information of the login student after the comparison is successful, comparing the login time information of the login student with the class information stored in the system server, and normally logging in after the comparison is successful.
Further, the personal characteristic information of the receiving trainee is acquired by one of the following methods:
inputting a username and a password;
by means of recognizing a face image;
by means of identification card information.
Further, the aligning comprises:
systematic alignment and/or manual alignment.
Further, the learning status report includes a viewing video behavior report and an operational behavior report.
Further, the viewing video behavior report includes:
sitting posture, gaze concentration, page turning behavior, and/or note taking behavior.
Further, the operation behavior report includes:
mouse click behavior and/or keyboard click behavior.
Further, still include:
and the query module is used for querying the learning state report of the student.
According to a second aspect of the disclosure, a method for student information preparation management based on live teaching is provided.
The method comprises the following steps:
receiving personal characteristic information of the trainees;
classifying the personal characteristic information of the trainees according to classes, and storing the classified information to a system server;
when the student logs in, comparing the personal characteristic information of the logged student with the information stored in the system server, and after the comparison is successful, normally logging in by the student;
recording the learning state of a normally logged student, and generating a learning state report according to the learning state;
and analyzing the learning state report, and sending information to an information receiving terminal according to an analysis result.
In the method, the login students are limited, so that only the students with the current live teaching courses can log in, and a large amount of network resources are saved. Meanwhile, the learning state of the students in the course of attending classes is analyzed, so that the administrator can better master the learning state of each student, and the teaching quality is greatly improved.
It should be understood that the statements herein reciting aspects are not intended to limit the critical or essential features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, like or similar reference characters designate like or similar elements, and wherein:
fig. 1 shows a block diagram of a live-based instructional student information preparation management system according to an embodiment of the present disclosure;
fig. 2 shows a flowchart of a method for on-the-fly tutor info backlog management according to an embodiment of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, but not all embodiments of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Fig. 1 shows a block diagram of a live education student information preparation management system 100 according to an embodiment of the present disclosure, as shown in fig. 1, including:
the information input module 110 is used for inputting personal characteristic information of the trainees;
the personal characteristic information comprises personal basic information and personal login information, the personal basic information comprises age, gender, subject information and the like, and the personal login information comprises user name and password information, certificate information, face image information and the like.
The student needs to enter personal characteristic information into the system after registration. The method comprises the steps of registering through equipment such as a computer, a mobile phone and/or a tablet personal computer, setting a user name and a password during registering, inputting certificate information of a student through a certificate reader, and inputting face image information of the student through a camera of login equipment, wherein the certificate can be an identity card, a driving license or a passport. The certificate reader has the function of reading various certificates.
The information processing module 120 is configured to classify the trainee personal feature information according to class, and store the classified information in a system server;
according to the personal characteristic information input by the student during registration, the class to which the student belongs is allocated to the student, and the class attendance time of the student is determined according to the class. And classifying the personal characteristic information of the trainees input in the information input module 110 according to the class to which the trainees belong, and storing the classified information to a system server.
The information login module 130 is used for receiving the personal characteristic information of the login student, comparing the personal characteristic information of the login student with the information stored in the system server, and after the comparison is successful, the student normally logs in;
the trainee can log into the system in any one of the following three ways. In the first mode, login is performed by inputting a user name and a password through the login equipment. And the second mode is to log in by inputting a face image through a camera of the login equipment. And thirdly, logging in by means of inputting student certificate information through a certificate reader.
Further, when the student logs in, the personal characteristic information of the student stored in the system server is compared with the information input by the student when the student logs in the first mode, the second mode or the third mode.
Further, when the student logs in the first mode, the user name and the password information which are input into the personal characteristic information of the system server when the student registers are required to be compared with the user name and the password which are input when the student logs in;
further, when the student logs in through the second mode, the face image information recorded into the personal characteristic information in the system server when the student registers is required to be compared with the face image acquired by the camera of the login equipment when the student logs in, and when the similarity between the face image information recorded by the login equipment and the face image information stored in the system server reaches 80% or more than 80%, the comparison is judged to be successful. Furthermore, there are the events that make appearance change such as face-lifting, disfiguring and face-aging in the life of work, when the appearance of the student changes greatly, the system will be likely to judge that the login is unsuccessful, and for this situation and similar situations, the student can apply for manual review to the staff;
further, when the student logs in through the third mode, certificate information in the personal characteristic information input into the system server when the student registers needs to be compared with certificate information input through a certificate reader when the student logs in. Furthermore, when the certificate of the student is damaged and demagnetized, login failure may be caused by login through a certificate reader, and the student can apply manual comparison to the staff at the moment;
further, after the comparison is successful, the time information of student login is obtained, the time information of student login is compared with the class time information in the class information stored in the system server, and the student can normally log in after the comparison is successful. For example, when the student logs in the system in the first mode, if the user name and the password are both correctly input, the login time of the student is compared with the class time, and if the user is not in the class time, the student cannot log in.
The information recording module 140 is used for recording the learning state of the normally logged trainees and generating a learning state report according to the learning state;
optionally, the information recording module 140 includes a camera, and records a learning status image of the logged-in student, where the learning status includes a video watching behavior of the student, such as sitting posture, gaze concentration, page turning behavior and/or note taking behavior, and an operation behavior including a mouse click behavior and/or a keyboard click behavior. Further, the information recording module 140 includes a processing module for recognizing the image of the learning status and generating a learning status report, wherein the learning status report includes a viewing video behavior report and an operating behavior report.
And the information analysis module 150 is configured to analyze the learning status report and send information to the information receiving terminal according to an analysis result.
And comparing the learning state report with the lecture progress, carrying out big data analysis on the learning state report, and sending information to an administrator according to an analysis result. For example, if the student looks free during the lecture, and the page turning behavior and the operation behavior are not in accordance with the lecture progress of the teacher through analysis, it is determined that the learning state of the student is poor, and information of "the learning state of the student is poor" is sent to the administrator, and the information may include specific expressions such as "concentration is not concentrated" and "teaching progress is not in accordance".
Further, the system also comprises an inquiry module used for inquiring the study status report of the student;
the student or the administrator can inquire the study status report of the student who broadcasts the teaching on the air at a certain time through the inquiry module.
It is noted that while the foregoing system embodiments have been described for simplicity of explanation as a series of acts, it will be appreciated by those skilled in the art that the present disclosure is not limited by the order of acts described, as some steps may occur in other orders and concurrently in accordance with the disclosure. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that acts and modules referred to are not necessarily required by the disclosure.
The foregoing is a description of system embodiments, and the following is a further description of the aspects of the disclosure by way of method embodiments.
Fig. 2 shows a flowchart of a method based on a live education student information preparation management method 100 according to an embodiment of the present disclosure, as shown in fig. 1, including:
110. receiving personal characteristic information of the trainees;
120. classifying the personal characteristic information of the trainees according to classes, and storing the classified information to a system server;
130. when the student logs in, comparing the personal characteristic information of the logged student with the information stored in the system server, and after the comparison is successful, normally logging in by the student;
140. recording the learning state of a normally logged student, and generating a learning state report according to the learning state;
150. and analyzing the learning state report, and sending information to an information receiving terminal according to an analysis result.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the described method may refer to the corresponding process in the foregoing system embodiment, and is not described herein again.
The following is a management flow according to an embodiment of the present invention:
a. the student registers for learning economics, registers on a registration computer, sets a user name and a password during registration, inputs a face and an identity card, and selects subjects as economics, gender and male age 40;
b. and assigning the students to one class of economics according to the student registration information, and determining the class time. The class attendance time of one class of economics is 8:30-11:30 in evenings of one, three and five weeks, and the information recorded by the student in the registration is stored in a system server according to the class information;
c. the student logs in the system at Monday night 8:30, logs in by inputting a user name and a password, calls the registration information of the student stored in the system server to compare with the user name and the password input by the student, acquires the login time information of the student after the comparison is successful, compares the login time information with the class time information in the class information of the student stored in the system server, and successfully logs in by the student after the comparison is successful;
d. after the student logs in, the student watches the west in the east, frequently turns over books and makes a messy click on a mouse. The system records the behavior of the student and generates a learning state report according to the behavior;
e. and performing big data analysis on the learning state report, and analyzing to obtain that the student looks free in the course listening process, the page turning behavior and the operation behavior are inconsistent with the content of the lectures of the teacher, judging that the learning state of the student is poor, and sending 'the learning state of the student is poor' to a manager: lack of concentration, inconsistent with the progress of lectures ".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a load programmable logic device (CPLD), and the like.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
Further, while operations are depicted in a particular order, this should be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single implementation. Conversely, various features that are described in the context of a single implementation can also be implemented in multiple implementations separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims (10)

1. The utility model provides a student's information reports management system based on live teaching which characterized in that includes:
the information input module is used for inputting personal characteristic information of the trainees;
the information processing module is used for classifying the personal characteristic information of the trainees according to classes and storing the classified information to a system server;
the information login module is used for receiving the personal characteristic information of the login student, comparing the personal characteristic information of the login student with the information stored in the system server, and after the comparison is successful, the student normally logs in;
the information recording module is used for recording the learning state of a normally logged student and generating a learning state report according to the learning state;
and the information analysis module is used for analyzing the learning state report and sending information to the information receiving terminal according to the analysis result.
2. The system of claim 1, wherein the classifying by class comprises:
classifying according to class information; the class information comprises subject information and class time information.
3. The system of claim 2, wherein the information logging module is specifically configured to:
receiving personal characteristic information of a login student;
comparing the personal characteristic information of the student with the personal characteristic information of the student stored in the system server, acquiring login time information of the login student after the comparison is successful, comparing the login time information of the login student with the class information stored in the system server, and normally logging in after the comparison is successful.
4. The system of claim 3, wherein the personal characteristic information of the receiving trainee is obtained by one of:
inputting a username and a password;
by means of recognizing a face image;
by means of identification card information.
5. The system of claim 4, wherein the aligning comprises:
systematic alignment and/or manual alignment.
6. The system of claim 1, wherein the learning status report comprises a viewing video behavior report and an operational behavior report.
7. The system of claim 6, wherein the viewing video behavior report comprises:
sitting posture, gaze concentration, page turning behavior, and/or note taking behavior.
8. The system of claim 6, wherein the operational behavior report comprises:
mouse click behavior and/or keyboard click behavior.
9. The system of claim 1, further comprising:
and the query module is used for querying the learning state report of the student.
10. A student information preparation management method based on live broadcast teaching is characterized by comprising the following steps:
receiving personal characteristic information of the trainees;
classifying the personal characteristic information of the trainees according to classes, and storing the classified information to a system server;
when the student logs in, comparing the personal characteristic information of the logged student with the information stored in the system server, and after the comparison is successful, normally logging in by the student;
recording the learning state of a normally logged student, and generating a learning state report according to the learning state;
and analyzing the learning state report, and sending information to an information receiving terminal according to an analysis result.
CN201910797596.5A 2019-08-27 2019-08-27 Student information backup management system and method based on live broadcast teaching Pending CN110689226A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111401493A (en) * 2020-03-23 2020-07-10 罗丞 Resident self-service information input system and method based on voice and face recognition
CN113487456A (en) * 2021-05-26 2021-10-08 杭州米络星科技(集团)有限公司 Online classroom fidelity analysis method and device, server and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106982224A (en) * 2017-04-28 2017-07-25 南京网博计算机软件系统有限公司 The method and system of real time identity checking identification
CN108399812A (en) * 2018-03-22 2018-08-14 浙江大学 Intelligent information management system
CN109118394A (en) * 2017-06-22 2019-01-01 格局商学教育科技(深圳)有限公司 A kind of interaction systems and its login method of business school student
CN110164213A (en) * 2019-06-06 2019-08-23 南京睦泽信息科技有限公司 A kind of multiple terminals distance education and training system based on AI video analysis

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106982224A (en) * 2017-04-28 2017-07-25 南京网博计算机软件系统有限公司 The method and system of real time identity checking identification
CN109118394A (en) * 2017-06-22 2019-01-01 格局商学教育科技(深圳)有限公司 A kind of interaction systems and its login method of business school student
CN108399812A (en) * 2018-03-22 2018-08-14 浙江大学 Intelligent information management system
CN110164213A (en) * 2019-06-06 2019-08-23 南京睦泽信息科技有限公司 A kind of multiple terminals distance education and training system based on AI video analysis

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111401493A (en) * 2020-03-23 2020-07-10 罗丞 Resident self-service information input system and method based on voice and face recognition
CN113487456A (en) * 2021-05-26 2021-10-08 杭州米络星科技(集团)有限公司 Online classroom fidelity analysis method and device, server and storage medium

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Application publication date: 20200114