CN115631074B - Informationized network science and education method, system and equipment - Google Patents
Informationized network science and education method, system and equipment Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
- G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses an informatization-based network science and education method, system and equipment, which comprises a family port, a data server and a school port, wherein the family port comprises a plurality of student service subsystems, the student service subsystems are used for collecting information data of students in the teaching process and providing live broadcast or science and education teaching for the students, the data server is used for transmitting and analyzing classroom data, the school port is used for providing live broadcast or science and education teaching and providing feedback for class behaviors of the students, and the data collection and storage module is used for collecting student condition data of the family port and analyzing class states of the students in the online class process by adopting an attention analysis unit, a small action analysis unit and an homework scoring analysis module so as to evaluate learning conditions of the students and help teachers and parents to know learning states of the students.
Description
Technical Field
The invention relates to the field of network science and education, in particular to an informationized-based network science and education method, system and equipment.
Background
In the classroom teaching activity, attention deficit phenomenon is easily generated in a classroom due to high learning pressure, mental fatigue or other physiological reasons, so that classroom teaching effect is influenced, in the classroom teaching activity, experienced teachers often adjust teaching contents according to attention deficit time periods of students so that the students can master more important knowledge, when epidemic situation happens, net lessons are the best bridge for the students to dock with the students, but in the course of net lessons, the students cannot watch face to face like in-situ teaching, so that attention deficit and small actions are easily generated by the students, and the remote sight measurement mostly adopts a head-mounted measuring instrument, the sight data of the students are directly measured through the head-mounted measuring instrument, so that the positions of the students falling on a teaching screen are calculated to determine the attention focus.
Disclosure of Invention
The invention mainly aims to provide an informationized-based network science and education method, system and equipment, which can effectively solve the problems in the background technology: but in the course of surfing the net the class, because can't face-to-face like the on-the-spot teaching is at a focus the student, lead to the student to take place the not concentrated condition of attention and do little action easily, the remote sight measurement adopts the head-mounted measuring apparatu more, directly measures this student's sight data through the head-mounted measuring apparatu, and then calculate the position that student's sight falls on the teaching screen and confirm the focus of attention, but this kind of mode needs every student to wear the head-mounted measuring apparatu, and the cost is high, and influences student's teaching experience and teaching effect greatly.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
the household port comprises a plurality of student service subsystems, wherein the student service subsystems are used for collecting information data of students in a teaching process and providing live broadcast or scientific teaching for the students, the data servers are used for transmitting and analyzing classroom data, the school port is used for providing live broadcast or scientific teaching and providing feedback for classroom behaviors of the students, the school port comprises a teacher service subsystem and an Internet scientific teaching subsystem, the teacher service subsystem is used for conducting live broadcast net lesson teaching for a teacher, and the Internet scientific teaching subsystem is used for conducting Internet scientific teaching for a school;
the data server comprises a data acquisition and storage module, an operation correcting module and a classroom state analysis module, wherein the data acquisition and storage module is used for acquiring and respectively storing classroom interaction and teaching data of students and teachers, the operation correcting module is used for scoring the operation completion condition of the students, and the classroom state analysis module is used for carrying out system analysis on the classroom state of the students and giving out classroom state values of the students;
the student classroom service subsystem comprises a student leave data module, a student classroom data acquisition module, a student question data module, a student homework condition module and a student family condition module.
The invention is further improved in that the student leave data module is used for collecting leave information of students, the student classroom data collection module is used for collecting classroom attention, small actions and homework state data conditions of the students, the student question data module is used for collecting question aggressiveness data conditions of the students, the student homework condition module is used for collecting homework photos of the students and uploading the homework photos to the homework correction module, and the student family condition module is used for collecting recent family conditions of the students.
The invention further improves that the student classroom data acquisition module comprises an attention state unit, a small action state unit and an operation state module, wherein the attention state unit is used for acquiring attention data of students, the attention state unit comprises eyeball image data and face image data of the students, the small action state unit is used for acquiring action data information of the students, and the operation state module is used for acquiring operation state information data of the students.
The invention is further improved in that the classroom state analysis module comprises an attention analysis unit, a small action analysis unit and an operation scoring analysis module, wherein the attention analysis unit is used for analyzing attention data of students to obtain attention analysis coefficients, the small action analysis unit is used for analyzing small action data of the students to obtain small action analysis coefficients, and the operation scoring analysis module is used for recording operation score scores of the students.
The invention is further improved in that the attention analysis unit comprises an attention analysis coefficient strategy, and the specific steps of the attention analysis coefficient strategy are as follows: 1. capturing eye part images of students, and calculating the diameter of cornea of the eyes of the students
And the length of the eyeball in the eye +.>
To calculate the percentage of cornea to the length of eyeball in eye
The method comprises the steps of carrying out a first treatment on the surface of the 2. With the eye center O as a dot and the eye length +.>
For reference drawing reference circle, record the distance from eyeball center to eye center O in real time +.>
And time->
Record the distance of movement and the size of cornea diameter of eye part +.>
Proportion of->
The method comprises the steps of carrying out a first treatment on the surface of the 3. Calculating attention analysis coefficient->
Where M represents a lesson time.
The invention is further improved in that the small action analysis unit comprises a small action analysis coefficient strategy, and the small action analysis coefficient strategy comprises the following specific steps: 1. area of the acquired picture
And taking the picture area as a reference area to collect the screen duty ratio of the most eye-protecting distance of students in front of the screen>
The method comprises the steps of carrying out a first treatment on the surface of the 2. Collecting action data information of students in real time, and calculating real-time duty ratio of student pictures>
And time->
The method comprises the steps of carrying out a first treatment on the surface of the 3. Calculating small motion analysis coefficient +.>
Wherein->
Representing the absolute value of the difference between the real-time duty cycle and the screen duty cycle.
The invention is further improved in that the calculation formula of the class state value is as follows:
wherein, the method comprises the steps of, wherein,
for attention analysis coefficient, +.>
Analysis coefficients for small movements +.>
Scoring the job.
The invention is further improved in that the method comprises the following steps, the first step: the teacher live broadcast and Internet science and education platform carries out online class teaching through data transmission of a data server, a student leave data module is used for collecting leave information of students, a student classroom data collecting module is used for collecting classroom attention, small actions and homework state data conditions of the students in real time, a student question data module is used for collecting question aggressiveness data conditions of the students in real time, a student homework condition module is used for collecting homework photos of the students and uploading the homework activity data to an homework correcting module, and a student family condition module is used for collecting recent family conditions of the students;
and a second step of: after the lesson is finished, the data acquisition and storage module transmits and stores the data in a classified mode, the job correction module uploads the job to a teacher for correction, the classroom state analysis module calculates classroom state values, descending order is carried out on the classroom state values, and the class state values are compared with the classroom state values of the previous class to obtain a list of the students which return to the step;
and a third step of: and automatically exporting the questioning, leave requesting and family condition data of the list of the stepped students, thereby being beneficial to analyzing the stepped reason of the students.
A further improvement of the invention is that the device comprises at least one home port, a data server, at least one school port and the aforementioned system, the data server being capable of executing the aforementioned method therein.
Compared with the prior art, the invention has the following beneficial effects: 1) According to the invention, the data acquisition and storage module is used for acquiring student condition data of the household port, and the attention analysis unit, the small action analysis unit and the homework scoring analysis module are adopted for analyzing the classroom state of the students in the online class process so as to evaluate the learning condition of the students and help teachers and parents to know the learning state of the students.
2) According to the invention, the family and the learning condition of the students are collected simultaneously, the learning state of the students is analyzed, and the reason feedback of the learning state of the students is obtained, so that the students can be helped to promote learning interest.
Drawings
Fig. 1 is a schematic diagram of a principle framework of an informatization-based network science and education system and method.
FIG. 2 is a schematic diagram of a student service subsystem of an informationized-based network science and education method and system according to the present invention.
FIG. 3 is a block diagram of a network science and education method and system data transmission based on informatization according to the present invention.
Fig. 4 is a schematic diagram of a principle framework of the informationized network science and education equipment.
Detailed Description
In order that the technical means, the creation characteristics, the achievement of the objects and the effects of the present invention may be easily understood, it should be noted that in the description of the present invention, the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements to be referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "a", "an", "the" and "the" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The invention is further described below in conjunction with the detailed description.
Example 1
According to the method, the system and the equipment for network science education based on informatization, as shown in fig. 1-4, the household port comprises a plurality of student service subsystems, the student service subsystems are used for collecting information data of students in the process of being taught, living broadcast or science education is provided for the students, the data servers are used for transmitting and analyzing classroom data, the school port is used for providing living broadcast or science education and providing feedback for the students' classroom behaviors, and the teacher service subsystem and the Internet science education subsystem are used for carrying out living broadcast network teaching by the teacher, and the Internet science education subsystem is used for carrying out Internet science education by the school;
the data server comprises a data acquisition and storage module, an operation correcting module and a classroom state analysis module, wherein the data acquisition and storage module is used for acquiring and respectively storing classroom interaction and teaching data of students and teachers, the operation correcting module is used for scoring the operation completion condition of the students, and the classroom state analysis module is used for carrying out system analysis on the classroom state of the students and giving out classroom state values of the students;
the student classroom service subsystem comprises a student leave data module, a student classroom data acquisition module and a student homework condition module.
The student leave data module is used for collecting leave information of students, the student classroom data collection module is used for collecting classroom attention, small actions and homework state data conditions of the students, and the student homework condition module is used for collecting homework photos of the students and uploading the homework photos to the homework correcting module.
The student classroom data acquisition module comprises an attention state unit, a small action state unit and an operation state module, wherein the attention state unit is used for acquiring attention data of students, the attention state unit comprises eyeball image data and face image data of the students, the small action state unit is used for acquiring action data information of the students, and the operation state module is used for acquiring operation state information data of the students.
The classroom state analysis module comprises an attention analysis unit, a small action analysis unit and an homework scoring analysis module, wherein the attention analysis unit is used for analyzing attention data of students to obtain attention analysis coefficients, the small action analysis unit is used for analyzing small action data of the students to obtain the small action analysis coefficients, and the homework scoring analysis module is used for recording homework score scores of the students.
The attention analysis unit comprises an attention analysis coefficient strategy, and the specific steps of the attention analysis coefficient strategy are as follows: 1. capturing eye part images of students, and calculating the diameter of cornea of the eyes of the students
And the length of the eyeball in the eye +.>
To calculate the percentage of cornea to the length of eyeball in eye +.>
The method comprises the steps of carrying out a first treatment on the surface of the 2. With the eye center O as a dot and the eye length +.>
For reference drawing reference circle, record the distance from eyeball center to eye center O in real time +.>
And time->
Record the distance of movement and the size of cornea diameter of eye part +.>
Proportion of->
The method comprises the steps of carrying out a first treatment on the surface of the 3. Calculating attention analysis coefficients
Where M represents a lesson time.
The small action analysis unit comprises a small action analysis coefficient strategy, and the specific steps of the small action analysis coefficient strategy are as follows: 1. area of the acquired picture
And taking the picture area as a reference area to collect the screen duty ratio of the most eye-protecting distance of students in front of the screen>
The method comprises the steps of carrying out a first treatment on the surface of the 2. Collecting action data information of students in real time, and calculating real-time duty ratio of student pictures>
And time->
The method comprises the steps of carrying out a first treatment on the surface of the 3. Calculating small motion analysis coefficient +.>
Wherein->
Representing the absolute value of the difference between the real-time duty cycle and the screen duty cycle.
The calculation formula of the classroom state value is as follows:
wherein->
For attention analysis coefficient, +.>
Analysis coefficients for small movements +.>
Scoring the job.
The method comprises the following steps of: the teacher live broadcast and Internet science and education platform carries out online class teaching through data transmission of a data server, a student leave data module is used for collecting leave information of students, a student classroom data collecting module is used for collecting classroom attention, small actions and homework state data conditions of the students in real time, a student question data module is used for collecting question aggressiveness data conditions of the students in real time, a student homework condition module is used for collecting homework photos of the students and uploading the homework activity data to an homework correcting module, and a student family condition module is used for collecting recent family conditions of the students;
and a second step of: after the lesson is finished, the data acquisition and storage module transmits and stores the data in a classified mode, the job correction module uploads the job to the teacher for correction, the classroom state analysis module calculates the classroom state values, descending order is carried out on the classroom state values, and the class state values are compared with the classroom state values of the previous class to obtain a list of the students who return to the step.
The device comprises at least one home port, a data server, at least one school port and the system, wherein the data server can execute the method.
The implementation of the embodiment can be realized: according to the invention, the data acquisition and storage module is used for acquiring student condition data of the household port, and the attention analysis unit, the small action analysis unit and the homework scoring analysis module are adopted for analyzing the classroom state of the students in the online class process so as to evaluate the learning condition of the students and help teachers and parents to know the learning state of the students.
Example 2
The embodiment 2 is mainly used for collecting the family and the learning condition of the students simultaneously on the basis of the embodiment 1, analyzing the learning state of the students, obtaining reason feedback of the learning state of the students, and helping the students to promote learning interest, and concretely comprises, as shown in fig. 1-4, an informatization-based network science and education method, system and equipment, wherein the family port comprises a family port, a data server and a school port, the family port comprises a plurality of student service subsystems, the student service subsystems are used for collecting information data of the students in the teaching process and providing live broadcast or science and education teaching for the students, the data server is used for transmitting and analyzing classroom data, the school port is used for providing live broadcast or science and education teaching and providing feedback for the classroom behavior of the students, the school port comprises a teacher service subsystem and an Internet science and education subsystem, the teacher service subsystem is used for carrying out live broadcast net teaching for the students, and the Internet science and education subsystem is used for carrying out Internet science and education for the schools;
the data server comprises a data acquisition and storage module, an operation correcting module and a classroom state analysis module, wherein the data acquisition and storage module is used for acquiring and respectively storing classroom interaction and teaching data of students and teachers, the operation correcting module is used for scoring the operation completion condition of the students, and the classroom state analysis module is used for carrying out system analysis on the classroom state of the students and giving out classroom state values of the students;
the student classroom service subsystem comprises a student leave data module, a student classroom data acquisition module, a student question data module, a student homework condition module and a student family condition module.
The student leave data module is used for collecting leave information of students, the student classroom data collection module is used for collecting classroom attention, small actions and homework state data conditions of the students, the student question data module is used for collecting question aggressiveness data conditions of the students, the student homework condition module is used for collecting homework photos of the students and uploading the homework photos to the homework correction module, and the student family condition module is used for collecting recent family conditions of the students.
The student classroom data acquisition module comprises an attention state unit, a small action state unit and an operation state module, wherein the attention state unit is used for acquiring attention data of students, the attention state unit comprises eyeball image data and face image data of the students, the small action state unit is used for acquiring action data information of the students, and the operation state module is used for acquiring operation state information data of the students.
The classroom state analysis module comprises an attention analysis unit, a small action analysis unit and an homework scoring analysis module, wherein the attention analysis unit is used for analyzing attention data of students to obtain attention analysis coefficients, the small action analysis unit is used for analyzing small action data of the students to obtain the small action analysis coefficients, and the homework scoring analysis module is used for recording homework score scores of the students.
The attention analysis unit comprises an attention analysis coefficient strategy, and the specific steps of the attention analysis coefficient strategy are as follows: 1. capturing eye part images of students, and calculating the diameter of cornea of the eyes of the students
And the length of the eyeball in the eye +.>
To calculate the percentage of cornea to the length of eyeball in eye +.>
The method comprises the steps of carrying out a first treatment on the surface of the 2. With the eye center O as a dot and the eye length +.>
For reference drawing reference circle, record the distance from eyeball center to eye center O in real time +.>
And time->
Record the distance of movement and the size of cornea diameter of eye part +.>
Proportion of->
The method comprises the steps of carrying out a first treatment on the surface of the 3. Calculating attention analysis coefficients
Where M represents a lesson time.
The small action analysis unit comprises a small action analysis coefficient strategy, and the specific steps of the small action analysis coefficient strategy are as follows: 1. area of the acquired picture
And taking the picture area as a reference area to collect the screen duty ratio of the most eye-protecting distance of students in front of the screen>
The method comprises the steps of carrying out a first treatment on the surface of the 2. Collecting action data information of students in real time, and calculating real-time duty ratio of student pictures>
And time->
The method comprises the steps of carrying out a first treatment on the surface of the 3. Calculating small motion analysis coefficient +.>
Wherein->
Representing the absolute value of the difference between the real-time duty cycle and the screen duty cycle.
The calculation formula of the classroom state value is as follows:
wherein->
For attention analysis coefficient, +.>
Analysis coefficients for small movements +.>
Scoring the job.
The method comprises the following steps of: the teacher live broadcast and Internet science and education platform carries out online class teaching through data transmission of a data server, a student leave data module is used for collecting leave information of students, a student classroom data collecting module is used for collecting classroom attention, small actions and homework state data conditions of the students in real time, a student question data module is used for collecting question aggressiveness data conditions of the students in real time, a student homework condition module is used for collecting homework photos of the students and uploading the homework activity data to an homework correcting module, and a student family condition module is used for collecting recent family conditions of the students;
and a second step of: after the lesson is finished, the data acquisition and storage module transmits and stores the data in a classified mode, the job correction module uploads the job to a teacher for correction, the classroom state analysis module calculates classroom state values, descending order is carried out on the classroom state values, and the class state values are compared with the classroom state values of the previous class to obtain a list of the students which return to the step;
and a third step of: and automatically exporting the questioning, leave requesting and family condition data of the list of the stepped students, thereby being beneficial to analyzing the stepped reason of the students.
The device comprises at least one home port, a data server, at least one school port and the system, wherein the data server can execute the method.
The implementation of the embodiment can be realized: according to the invention, the family and the learning condition of the students are collected simultaneously, the learning state of the students is analyzed, and the reason feedback of the learning state of the students is obtained, so that the students can be helped to promote learning interest.
The foregoing has shown and described the basic principles and main features of the present invention and the advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (5)
1. An informationized-based network science and education system is characterized in that: the system comprises a family port, a data server and a school port, wherein the family port comprises a plurality of student service subsystems, the student service subsystems are used for collecting information data of students in a teaching process and providing live broadcast or scientific teaching for the students, the data server is used for transmitting and analyzing classroom data, the school port is used for providing live broadcast or scientific teaching and providing feedback for classroom behaviors of the students, the school port comprises a teacher service subsystem and an Internet scientific teaching subsystem, the teacher service subsystem is used for conducting live broadcast net lesson teaching for teachers, and the Internet scientific teaching subsystem is used for conducting Internet scientific teaching for schools;
the data server comprises a data acquisition and storage module, an operation correcting module and a classroom state analysis module, wherein the data acquisition and storage module is used for acquiring and respectively storing classroom interaction and teaching data of students and teachers, the operation correcting module is used for scoring the operation completion condition of the students, and the classroom state analysis module is used for carrying out system analysis on the classroom state of the students and giving out classroom state values of the students;
the student classroom service subsystem comprises a student leave data module, a student classroom data acquisition module, a student question data module, a student homework condition module and a student family condition module;
the classroom state analysis module comprises an attention analysis unit, a small action analysis unit and an homework scoring analysis module, wherein the attention analysis unit is used for analyzing attention data of students to obtain attention analysis coefficients, the small action analysis unit is used for analyzing small action data of the students to obtain small action analysis coefficients, and the homework scoring analysis module is used for recording homework score scores of the students; the attention analysis unit comprises an attention analysis coefficient strategy, and the specific steps of the attention analysis coefficient strategy are as follows: 1. catch schoolEye part generating image, and calculating cornea diameter of eye part of student
And the length of the eyeball in the eye +.>
To calculate the percentage of cornea to the length of eyeball in eye
The method comprises the steps of carrying out a first treatment on the surface of the 2. With the eye center O as a dot and the eye length +.>
For reference drawing reference circle, record the distance from eyeball center to eye center O in real time +.>
And time->
Record the distance of movement and the size of cornea diameter of eye part +.>
Proportion of->
The method comprises the steps of carrying out a first treatment on the surface of the 3. Calculating attention analysis coefficient->
Wherein M represents a lesson time; the small action analysis unit comprises a small action analysis coefficient strategy, and the small action analysis coefficient strategy comprises the following specific steps: 1. area of acquisition picture->
And taking the picture area as a reference area to collect the screen duty ratio of the most eye-protecting distance of students in front of the screen
The method comprises the steps of carrying out a first treatment on the surface of the 2. Collecting action data information of students in real time, and calculating real-time duty ratio of student pictures>
And time->
The method comprises the steps of carrying out a first treatment on the surface of the 3. Calculating small motion analysis coefficient +.>
Wherein->
An absolute value representing a difference between the real-time duty cycle and the screen duty cycle; the calculation formula of the classroom state value is as follows: />
Wherein->
For attention analysis coefficient, +.>
Analysis coefficients for small movements +.>
Scoring the job.
2. The informationized-based network science and education system of claim 1 wherein: the student leave data module is used for collecting leave information of students, the student classroom data collection module is used for collecting classroom attention, small actions and homework state data conditions of the students, the student question data module is used for collecting question aggressiveness data conditions of the students, the student homework condition module is used for collecting homework photos of the students and uploading the homework photos to the homework correction module, and the student family condition module is used for collecting recent family conditions of the students.
3. The informationized-based network science and education system of claim 2 wherein: the student classroom data acquisition module comprises an attention state unit, a small action state unit and an operation state module, wherein the attention state unit is used for acquiring attention data of students, the attention state unit comprises eyeball image data and face image data of the students, the small action state unit is used for acquiring action data information of the students, and the operation state module is used for acquiring operation state information data of the students.
4. A network science and education method based on informatization is characterized in that: based on an informatization-based network science and education system according to any one of claims 1-3, comprising the steps of:
the first step: the teacher live broadcast and Internet science and education platform carries out online class teaching through data transmission of a data server, a student leave data module is used for collecting leave information of students, a student classroom data collecting module is used for collecting classroom attention, small actions and homework state data conditions of the students in real time, a student question data module is used for collecting question aggressiveness data conditions of the students in real time, a student homework condition module is used for collecting homework photos of the students and uploading the homework activity data to an homework correcting module, and a student family condition module is used for collecting recent family conditions of the students;
and a second step of: after the lesson is finished, the data acquisition and storage module transmits and stores the data in a classified mode, the job correction module uploads the job to a teacher for correction, the classroom state analysis module calculates classroom state values, descending order is carried out on the classroom state values, and the class state values are compared with the classroom state values of the previous class to obtain a list of the students which return to the step;
and a third step of: and automatically exporting the questioning, leave requesting and family condition data of the list of the stepped students, thereby being beneficial to analyzing the stepped reason of the students.
5. The utility model provides a network science and education equipment based on informatization which characterized in that: comprising at least one home port, a data server, at least one school port and a system according to any of claims 1-3, said data server being capable of executing the method according to claim 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211553657.1A CN115631074B (en) | 2022-12-06 | 2022-12-06 | Informationized network science and education method, system and equipment |
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