CN114240221A - Remote training intelligent management system based on mobile internet - Google Patents
Remote training intelligent management system based on mobile internet Download PDFInfo
- Publication number
- CN114240221A CN114240221A CN202111586442.5A CN202111586442A CN114240221A CN 114240221 A CN114240221 A CN 114240221A CN 202111586442 A CN202111586442 A CN 202111586442A CN 114240221 A CN114240221 A CN 114240221A
- Authority
- CN
- China
- Prior art keywords
- learning
- student
- target management
- target
- remote training
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Images
Classifications
-
- 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
-
- 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06316—Sequencing of tasks or work
-
- 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
- G06Q10/0633—Workflow analysis
-
- 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
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- 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
Abstract
The invention discloses a remote training intelligent management system based on a mobile internet. This remote training intelligent management system based on mobile internet includes: the system comprises an information acquisition module, a learning plan management module, a learning progress management module, a learning state management module, a database and an information sending terminal; according to the invention, the learning plan, the learning progress and the learning state corresponding to the remote training course student in the acquisition period are accurately analyzed and managed through the learning plan management module, the learning progress management module and the learning state management module, so that the problem that the management effect of the existing student remote training management system cannot be effectively improved because the managed content has one-sidedness is effectively solved, the management efficiency of daily learning of the student is greatly improved, and meanwhile, the remote training effect corresponding to the student is also effectively improved.
Description
Technical Field
The invention belongs to the technical field of remote training management, and relates to a remote training intelligent management system based on a mobile internet.
Background
With the rapid development of internet technology, a remote training mode is also gradually becoming one of the preferable learning modes of trainees, and the remote training can optimize resources to the maximum extent, but the remote training cannot acquire the true state of the trainees, so that the trainees participating in the remote training need to be managed.
The existing student remote training management system mainly manages training courseware, assessment information and the like of students, and does not manage learning progress, learning plan and the like of the students in a careful manner, so the existing student remote training management system also has certain defects.
Disclosure of Invention
In view of the above, in order to solve the problems in the background art, a remote training intelligent management system based on the mobile internet is provided, so that intelligent management of remote training students is realized;
the purpose of the invention can be realized by the following technical scheme:
the invention provides a remote training intelligent management system based on a mobile internet, wherein an information acquisition module, a database and an information sending terminal are respectively connected with a learning plan management module, a learning progress management module and a learning state management module;
the information acquisition module is used for acquiring information corresponding to a student of the remote training course and basic information corresponding to the remote training course, wherein the information acquisition module comprises a student basic information acquisition unit, a student learning information acquisition unit, a student attendance information acquisition unit, a student interaction information acquisition unit and a course basic information acquisition unit;
the course basic information acquisition unit is used for acquiring basic information corresponding to the remote training course in the acquisition period and further acquiring basic information corresponding to the remote training course in the acquisition period, wherein the basic information corresponding to the remote training course comprises the class time quantity corresponding to the remote training course and the plan completion time length corresponding to the remote training course;
the learning plan management module is used for managing learning plans corresponding to target management trainees, wherein the trainee learning plan management module comprises a trainee learning plan analysis unit and a trainee learning plan finishing unit;
the learning progress management module is used for managing the learning progress corresponding to each target management student, and further analyzing the learning information corresponding to each target management student according to the learning information corresponding to each target management student;
the learning state management module is used for managing the learning state corresponding to each target management student, and further analyzing the learning state corresponding to each target management student according to the sign-in information corresponding to each student and the interaction information corresponding to each student;
the database is used for storing learning plan adjustment influence coefficients corresponding to the learning plan adjustment levels, learning plan adjustment schemes corresponding to the learning plan adjustment levels, preset early warning learning progress conformity influence coefficients, reminding time points corresponding to learning time period labels, standard check-in times corresponding to target management students in acquisition time periods and active influence coefficients corresponding to learning active levels.
Preferably, the student basic information acquisition unit is configured to acquire basic information corresponding to a student of the remote training course in the acquisition period, further acquire a number corresponding to the student of the remote training course in the acquisition period, record the student corresponding to the remote training course in the acquisition period as a target management student, number the target management students according to a preset sequence, sequentially mark the target management students as 1,2,. J,. m, and further acquire basic information corresponding to each target management student, where the basic information corresponding to each target management student includes a learning account number corresponding to the target management student, a first learning time point, an examination time point, and a contact manner, and further construct a target management student basic information set Jw(Jw1,Jw2,...Jwj,...Jwm)，Jwi represents w-th basic information corresponding to j-th target management student, w represents basic information of the target management student, and w is a1, a2, a3, a4, a1, a2, a3 and a4 respectively represent a learning account, a first learning time point, a test time point and a contact manner corresponding to the target management student.
Preferably, the student learning information acquisition unit is used for managing corresponding completion of students for each targetAcquiring the number of the completed class and the learning time period corresponding to the class completion of each target management student, further acquiring the learning information of each target management student, and constructing a learning information set X of each target management studente(Xe1,Xe2,...Xej,...Xem)，Xej represents the e-th learning information corresponding to the j-th target management student, e represents the learning information of the target management student, and e is b1, b2, b1 and b2 respectively represent the number of completed sessions corresponding to the target management student and the learning time period corresponding to each completed session of the target management student.
Preferably, the student attendance information collection unit is configured to collect attendance times corresponding to each target management student, further obtain cumulative attendance times corresponding to each target management student, and construct a cumulative attendance time set H (H1, H2.. Hj.. Hm) for each target management student, where Hj represents the cumulative attendance time corresponding to the jth target management student.
Preferably, the trainee interaction information acquisition unit is configured to acquire interaction information corresponding to each target management trainee, further acquire interaction times corresponding to each target management trainee, and construct a set P (P1, P2.. Pj.. Pm) of interaction times of each target management trainee according to the interaction times corresponding to each target management trainee, where Pj represents the interaction times corresponding to the jth target management trainee.
Preferably, the student learning plan analysis unit is configured to analyze the learning plan corresponding to each target administrator according to the basic information corresponding to each target administrator, obtain a set of basic information of each target administrator, further obtain a first learning time point and an examination time point corresponding to each target administrator, obtain a learnable time duration corresponding to each target administrator according to the first learning time point and the examination time point corresponding to each target administrator, simultaneously obtain the basic information corresponding to the remote training course in the acquisition period, further obtain a plan completion time duration corresponding to the remote training course in the acquisition period, further count the learning plan adjustment influence coefficients of each target administrator, and match and compare the learning plan adjustment influence coefficient corresponding to each target administrator with the learning plan adjustment influence coefficient corresponding to each learning plan adjustment level in the database, and then the learning plan adjustment level corresponding to each target management student is obtained.
Preferably, the learner learning plan modification unit is configured to adjust the learning plan corresponding to each target management learner according to the result of the learning plan analysis of each target management learner in the acquisition period, further adjust the level according to the learning plan corresponding to each target management learner, further extract the learning plan adjustment scheme corresponding to each learning plan adjustment level from the database, further obtain the learning plan adjustment scheme corresponding to each learning plan adjustment level of each target management learner, and use the learning plan adjustment scheme as the modified learning plan corresponding to each target management learner.
Preferably, the student learning information analysis is used for analyzing and managing the learning progress corresponding to each target management student according to the learning information corresponding to each target management student, acquiring the learning information set of each target management student, further acquiring the number of completed classes corresponding to each target management student and the learning time period corresponding to each completed class, counting the learning progress conformity influence coefficient of each target management student and the learning time period preference influence coefficient of each target management student, and analyzing the learning progress and the preference learning time period of each target management student according to the learning progress conformity influence coefficient of each target management student and the learning time period preference influence coefficient of each target management student.
Preferably, the learning state analysis is configured to analyze the learning state of each target management student according to sign-in information and interaction information corresponding to each target management student, further obtain the cumulative sign-in times and interaction times of each target management student according to the cumulative sign-in times set and the interaction information set of each target management student, further analyze the cumulative sign-in times and interaction times corresponding to each target management student, further obtain a comprehensive learning activity influence coefficient of each target management student, match and compare the comprehensive learning activity influence coefficient of each target management student with the activity influence coefficient corresponding to each learning activity level, and further obtain the learning activity level corresponding to each target management student.
Preferably, the terminal for sending learning information sends the results analyzed by the learning plan management module, the learning progress management module and the learning state management module to corresponding receiving personnel, wherein the sending of the learning information comprises sending of learning plan restitution information, sending of learning progress reminding information and sending of learning state information.
The invention has the beneficial effects that:
(1) according to the remote training intelligent management system based on the mobile internet, the learning plan, the learning progress and the learning state corresponding to the remote training course student in the acquisition period are accurately analyzed and managed through the learning plan management module, the learning progress management module and the learning state management module, the problem that the management effect of the existing student remote training management system cannot be effectively improved due to the fact that the content of the management of the existing student remote training management system is one-sided is effectively solved, the management efficiency of daily learning of the student is greatly improved, and meanwhile the remote training effect corresponding to the student is also effectively improved.
(2) According to the invention, in the information acquisition module, the information corresponding to the remote training course student and the basic information corresponding to the remote training course are acquired, so that the efficiency of learning and analyzing the remote training course student is greatly improved, and meanwhile, the reliability of the learning and analyzing result of the remote training course student is also greatly improved.
(3) According to the invention, at the learning information sending terminal, the results analyzed by the learning plan management module, the learning progress management module and the learning state management module are sent to corresponding receiving personnel, so that the learning progress corresponding to each student is effectively ensured, and meanwhile, the learning efficiency of the students is greatly improved.
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 diagram showing the connection of modules of the system of the present invention;
FIG. 2 is a schematic diagram of an information collection module connection;
FIG. 3 is a schematic diagram of the learning plan management module connections.
Detailed Description
While the foregoing is directed to embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Referring to fig. 1, a remote training intelligent management system based on mobile internet includes an information acquisition module, a learning plan management module, a learning progress management module, a learning state management module, a database and an information sending terminal;
the information acquisition module, the database and the information sending terminal are respectively connected with the learning plan management module, the learning progress management module and the learning state management module;
referring to fig. 2, the information collection module is configured to collect information corresponding to a student in the remote training course and basic information corresponding to the remote training course, where the information collection module includes a student basic information collection unit, a student learning information collection unit, a student check-in information collection unit, a student interaction information collection unit, and a course basic information collection unit;
specifically, the student basic information acquisition unit is used for acquiring basic information corresponding to the remote training course student in the acquisition period, further acquiring the number corresponding to the remote training course student in the acquisition period, recording the student corresponding to the remote training course in the acquisition period as a target management student, and numbering the target management students according to a preset sequence, wherein the number is marked as 1,2 and.J, the page, the m, and then obtaining the basic information corresponding to each target management student, wherein the basic information corresponding to each target management student comprises a learning account number, a first learning time point, an examination time point and a contact way corresponding to the target management student, and further, a basic information set J of each target management student is constructedw(Jw1,Jw2,...Jwj,...Jwm)，Jwi represents w-th basic information corresponding to j-th target management student, w represents basic information of the target management student, and w is a1, a2, a3, a4, a1, a2, a3 and a4 respectively represent a learning account, a first learning time point, a test time point and a contact manner corresponding to the target management student.
Specifically, the student learning information collection unit is configured to collect the number of class hours completed by each target management student and the learning time period corresponding to each class hour completed by each target management student, further obtain the learning information of each target management student, and construct a learning information set X of each target management studente(Xe1,Xe2,...Xej,...Xem)，Xej represents the e-th learning information corresponding to the j-th target management student, e represents the learning information of the target management student, and e is b1, b2, b1 and b2 respectively represent the number of completed sessions corresponding to the target management student and the learning time period corresponding to each completed session of the target management student.
Specifically, the student attendance information collection unit is configured to collect attendance times corresponding to each target management student, further obtain cumulative attendance times corresponding to each target management student, and construct a cumulative attendance time set H (H1, H2.. Hj.. Hm) for each target management student, where Hj represents the cumulative attendance time corresponding to the jth target management student.
Specifically, the student interaction information acquisition unit is configured to acquire interaction information corresponding to each target management student, further acquire interaction times corresponding to each target management student, and construct a set P (P1, P2.. Pj.. Pm) of interaction times of each target management student according to the interaction times corresponding to each target management student, where Pj represents the interaction times corresponding to the jth target management student.
The course basic information acquisition unit is used for acquiring basic information corresponding to the remote training course in the acquisition period and further acquiring basic information corresponding to the remote training course in the acquisition period, wherein the basic information corresponding to the remote training course comprises the class time quantity corresponding to the remote training course and the plan completion time length corresponding to the remote training course;
according to the embodiment of the invention, in the information acquisition module, the information corresponding to the remote training course student and the basic information corresponding to the remote training course are acquired, so that the efficiency of learning and analyzing the remote training course student is greatly improved, and meanwhile, the reliability of the learning and analyzing result of the remote training course student is also greatly improved.
Referring to fig. 3, the learning plan management module is configured to manage learning plans corresponding to target management trainees, where the learning plan management module includes a trainee learning plan analysis unit and a trainee learning plan modification unit;
specifically, the student learning plan analysis unit is configured to analyze the learning plan corresponding to each target administrator according to the basic information corresponding to each target administrator, obtain a set of basic information of each target administrator, further obtain a first learning time point and an examination time point corresponding to each target administrator, obtain a learnable time duration corresponding to each target administrator according to the first learning time point and the examination time point corresponding to each target administrator, simultaneously obtain the basic information corresponding to the remote training course in the acquisition period, further obtain a plan completion time duration corresponding to the remote training course in the acquisition period, further count the learning plan adjustment influence coefficients of each target administrator, and match and compare the learning plan adjustment influence coefficients corresponding to each target administrator with the learning plan adjustment influence coefficients corresponding to each learning plan adjustment level in the database, and then the learning plan adjustment level corresponding to each target management student is obtained.
Wherein said target manager learning plan adjustment impact coefficient statistics are used to manage each targetThe study duration corresponding to the trainee is compared with the plan completion duration corresponding to the remote training course in the acquisition period, and then the study plan adjustment influence coefficient of each target management trainee is counted, wherein the calculation formula is
βdAnd d represents the number of the target management trainees of the remote training course, and d is 1,2,. j,. m.
The student learning plan adjustment levels comprise a primary adjustment level, a secondary adjustment level and a tertiary adjustment level, wherein the primary adjustment level is an emergency adjustment level, the secondary adjustment level is a common adjustment level, and the tertiary adjustment level is adjustment-free.
Specifically, the learner learning plan modification unit is configured to adjust the learning plan corresponding to each target management learner according to the result of the learning plan analysis of each target management learner in the acquisition period, further adjust the level according to the learning plan corresponding to each target management learner, further extract the learning plan adjustment scheme corresponding to each learning plan adjustment level from the database, further obtain the learning plan adjustment scheme corresponding to each learning plan adjustment level of each target management learner, and use the learning plan adjustment scheme as the modified learning plan corresponding to each target management learner.
According to the embodiment of the invention, the learning plan management module manages and repairs the learning plan corresponding to each target management student, so that the reasonability and the scientificity of the learning plan of each target management student are greatly improved, and the efficiency of remote training of each target management student is greatly improved.
The learning progress management module is used for managing the learning progress corresponding to each target management student, and further analyzing the learning information corresponding to each target management student according to the learning information corresponding to each target management student;
specifically, the student learning information analysis is used for analyzing and managing learning schedules corresponding to each target management student according to learning information corresponding to each target management student, acquiring a learning information set of each target management student, further acquiring the number of completed classes corresponding to each target management student and learning time periods corresponding to each completed class, counting learning schedule conformity influence coefficients of each target management student and learning time period preference influence coefficients of each target management student, and analyzing the learning schedules and preference learning time periods of each target management student according to the learning schedule conformity influence coefficients of each target management student and the learning time period preference influence coefficients of each target management student.
Wherein, the statistical process of the learning progress conformity influence coefficient of each target management student is as follows: obtaining a finishing learning plan corresponding to each target management student according to the number corresponding to each target management student, calling the current plan completion class hour number corresponding to each target management student, comparing the completion class hour number corresponding to each target management student with the current plan completion class hour number corresponding to each target management student, and further counting that the learning progress of each target management student accords with an influence coefficient, wherein the calculation formula is that
δdB1 showing that the learning progress corresponding to the d-th target administrator matches the influence coefficientdRepresents the time of class completion number, b1 ', corresponding to the d-th target management student'dAnd the number of the current corresponding plans of the d-th target management student for completing the class is shown.
Wherein, the statistical process of the preference influence coefficient of each target management student in the learning time period is as follows: according to the learning time periods corresponding to the class completion of the target management students, the learning time periods corresponding to the class completion of the target management students are compared with each other, the learning time period number corresponding to the target management students and the learning times corresponding to the learning time periods are obtained, the learning time period number corresponding to the target management students is numbered according to a preset sequence and is marked as 1,2, aThe target management student learns the time period preference influence coefficient and the calculation formula is
φd rA preference influence coefficient Y representing the relationship between the ith learning period and the mth target management studentd rIndicating the learning times corresponding to the r-th learning period of the d-th target management student,
represents the average learning times corresponding to the d-th target administrator,
n represents the number of learning time periods corresponding to each target management student, r represents the number of the learning time periods of each target management student, and r is 1,2,. j,. m;
the learning times of each learning time period are the number of completed class hours corresponding to each learning time period;
wherein, the process of analyzing the learning progress of each target management student comprises the following steps: according to the statistical learning progress coincidence influence coefficient of each target management student, comparing the learning progress coincidence influence coefficient corresponding to each target management student with the preset early warning learning progress coincidence influence coefficient, if the learning progress coincidence influence coefficient corresponding to a certain target management student is smaller than the preset early warning learning progress coincidence influence coefficient, recording the target management student as an early warning student, counting the number of the early warning students, extracting the number corresponding to each early warning student, and further acquiring the contact way corresponding to each early warning student.
Wherein, the process of analyzing the learning time slot preference of each target management student comprises the following steps: according to the statistical learning time period preference influence coefficients of the target management students, the learning time period preference influence coefficients corresponding to the target management students are sequenced from large to small, then the learning time period with the first ranking of the target management students is extracted, the learning time period is used as the preference learning time period corresponding to the target management students, learning time period labels are constructed according to the preference learning time period corresponding to the target management students, the learning time period labels corresponding to the target management students are compared with one another according to the learning time period labels corresponding to the target management students, the number of the target management students corresponding to the learning time period labels is obtained, and reminding time points corresponding to the learning time period labels are extracted from a database according to the learning time period labels.
According to the embodiment of the invention, the learning progress and the preferred learning time period corresponding to each target management student are analyzed, so that the occurrence probability of the student training disjointed event is effectively avoided, and meanwhile, the viscosity of the student on the remote training platform is greatly improved.
The remote training platform is a platform for a user to carry out remote training course learning.
The learning state management module is used for managing the learning state corresponding to each target management student, and further analyzing the learning state corresponding to each target management student according to the sign-in information corresponding to each student and the interaction information corresponding to each student;
specifically, the learning state analysis is configured to analyze the learning state of each target management student according to sign-in information and interaction information corresponding to each target management student, further obtain the cumulative sign-in times and interaction times of each target management student according to the cumulative sign-in times set and the interaction information set of each target management student, further analyze the cumulative sign-in times and interaction times corresponding to each target management student, further obtain a comprehensive learning activity influence coefficient of each target management student, match and compare the comprehensive learning activity influence coefficient of each target management student with the activity influence coefficient corresponding to each learning activity level, and further obtain the learning activity level corresponding to each target management student.
Wherein, the acquisition process of the comprehensive learning active influence coefficient of each target management student is as follows: comparing the accumulated sign-in times corresponding to each target management student with the standard sign-in times corresponding to each target management student currently according to the accumulated sign-in times of each target management student, further counting the learning active influence coefficient of the sign-in times of each target management student, comparing the interaction times corresponding to each target management student with the average activity times corresponding to each target management student according to the interaction times corresponding to each target management student, further counting the learning active influence coefficient of the interaction times of each target management student, further counting the comprehensive learning active influence coefficient of each target management student according to the counted learning active influence coefficient of the sign-in times of each target management student and the learning active influence coefficient of the interaction times of each target management student.
Wherein, the calculation formula of the learning activity influence coefficient of the check-in times of each target management student is
A learning activity influence coefficient, H, corresponding to the number of check-ins of the d-th target management studentdIndicates the cumulative check-in times, H, corresponding to the d-th target administratord standardAnd the current corresponding standard check-in times of the d-th target management student are shown.
Wherein, the calculation formula of the learning activity influence coefficient of the interaction times of the target management trainees is
γdA learning activity influence coefficient, P, corresponding to the number of interactions of the d-th target management studentdThe number of interactions corresponding to the d-th target management student is represented, and P represents the average activity number corresponding to the target management student.
Wherein, the calculation formula of the comprehensive learning active influence coefficient of each target management student is
λdAnd representing the comprehensive learning active influence coefficient corresponding to the d-th target management student.
According to the embodiment of the invention, the learning plan, the learning progress and the learning state corresponding to the remote training course student in the acquisition period are accurately analyzed and managed through the learning plan management module, the learning progress management module and the learning state management module, so that the problem that the management effect of the student cannot be effectively improved because the content managed by the existing student remote training management system is one-sided is effectively solved, the management efficiency of daily learning of the student is greatly improved, and meanwhile, the remote training effect corresponding to the student is also effectively improved.
The terminal for sending the learning information sends the analysis results of the learning plan management module, the learning progress management module and the learning state management module to corresponding receiving personnel, wherein the learning information sending comprises learning plan rest information sending, learning progress reminding information sending and learning state information sending;
the learning plan trimming information is sent to be used for sending the trimming learning plan corresponding to the target management student to the mobile terminal corresponding to each target management student;
the learning progress reminding information comprises early warning information sending and reminding information sending, wherein the early warning learning sending is used for sending a learning progress early warning instruction to the mobile terminal corresponding to each early warning student, and the reminding information sending is used for sending the learning reminding information to the mobile terminal corresponding to each target management student according to the learning reminding time period labels corresponding to each target management student and further according to the learning reminding time points corresponding to each target management student.
And the learning state information sending is used for sending the learning activity level corresponding to each target management student to the instructor corresponding to the remote training course for corresponding management.
According to the embodiment of the invention, at the learning information sending terminal, the results analyzed by the learning plan management module, the learning progress management module and the learning state management module are sent to corresponding receiving personnel, so that the learning progress corresponding to each student is effectively ensured, and meanwhile, the learning efficiency of the student is greatly improved.
The database is used for storing learning plan adjustment influence coefficients corresponding to the learning plan adjustment levels, learning plan adjustment schemes corresponding to the learning plan adjustment levels, preset early warning learning progress conformity influence coefficients, reminding time points corresponding to learning time period labels, standard check-in times corresponding to target management students in acquisition time periods and active influence coefficients corresponding to learning active levels.
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 (10)
1. The utility model provides a remote training intelligent management system based on mobile internet which characterized in that: the information acquisition module, the database and the information sending terminal are respectively connected with the learning plan management module, the learning progress management module and the learning state management module;
the information acquisition module is used for acquiring information corresponding to a student of the remote training course and basic information corresponding to the remote training course, wherein the information acquisition module comprises a student basic information acquisition unit, a student learning information acquisition unit, a student attendance information acquisition unit, a student interaction information acquisition unit and a course basic information acquisition unit;
the course basic information acquisition unit is used for acquiring basic information corresponding to the remote training course in the acquisition period and further acquiring basic information corresponding to the remote training course in the acquisition period, wherein the basic information corresponding to the remote training course comprises the class time quantity corresponding to the remote training course and the plan completion time length corresponding to the remote training course;
the learning plan management module is used for managing learning plans corresponding to target management trainees, wherein the trainee learning plan management module comprises a trainee learning plan analysis unit and a trainee learning plan finishing unit;
the learning progress management module is used for managing the learning progress corresponding to each target management student, and further analyzing the learning information corresponding to each target management student according to the learning information corresponding to each target management student;
the learning state management module is used for managing the learning state corresponding to each target management student, and further analyzing the learning state corresponding to each target management student according to the sign-in information corresponding to each student and the interaction information corresponding to each student;
the database is used for storing learning plan adjustment influence coefficients corresponding to the learning plan adjustment levels, learning plan adjustment schemes corresponding to the learning plan adjustment levels, preset early warning learning progress conformity influence coefficients, reminding time points corresponding to learning time period labels, standard check-in times corresponding to target management students in acquisition time periods and active influence coefficients corresponding to learning active levels.
2. The intelligent management system for remote training based on mobile internet as claimed in claim 1, wherein: the student basic information acquisition unit is used for acquiring basic information corresponding to the remote training course student in the acquisition period, further acquiring the quantity corresponding to the remote training course student in the acquisition period, recording the student corresponding to the remote training course in the acquisition period as a target management student, numbering the target management students according to a preset sequence, sequentially marking the target management students as 1,2, a.j.m, and further acquiring the basic information corresponding to each target management student, wherein the basic information corresponding to each target management student comprises a learning account number, a first learning time point, an examination time point and a contact mode corresponding to each target management student, and further constructing a basic information set J of each target management studentw(Jw1,Jw2,...Jwj,...Jwm)，Jwi represents the w-th basic information corresponding to the j-th target management student, w represents the basic information of the target management student, and w is a1, a2, a3, a4, a1, a2, a3 and a4 respectively represent the learning account number, the first learning time point, the examination time point and the contact way corresponding to the target management student。
3. The intelligent management system for remote training based on mobile internet as claimed in claim 1, wherein: the student learning information acquisition unit is used for acquiring the number of completed classes corresponding to each target management student and the learning time period corresponding to each completed class of each target management student, further acquiring the learning information of each target management student, and constructing a learning information set X of each target management studente(Xe1,Xe2,...Xej,...Xem)，Xej represents the e-th learning information corresponding to the j-th target management student, e represents the learning information of the target management student, and e is b1, b2, b1 and b2 respectively represent the number of completed sessions corresponding to the target management student and the learning time period corresponding to each completed session of the target management student.
4. The intelligent management system for remote training based on mobile internet as claimed in claim 1, wherein: the student sign-in information acquisition unit is used for acquiring sign-in times corresponding to each target management student, further acquiring accumulated sign-in times corresponding to each target management student, and constructing an accumulated sign-in time set H (H1, H2.. Hj.. Hm) of each target management student, wherein the Hj represents the accumulated sign-in times corresponding to the jth target management student.
5. The intelligent management system for remote training based on mobile internet as claimed in claim 1, wherein: the student interaction information acquisition unit is used for acquiring interaction information corresponding to each target management student, further acquiring interaction times corresponding to each target management student, and constructing an interaction time set P (P1, P2.. p.j.. Pm) of each target management student according to the interaction times corresponding to each target management student, wherein the Pj represents the interaction times corresponding to the jth target management student.
6. The intelligent management system for remote training based on mobile internet as claimed in claim 1, wherein: the student learning plan analysis unit is used for analyzing the learning plan corresponding to each target management student according to the basic information corresponding to each target management student, acquiring the basic information set of each target management student, acquiring the first learning time point and the examination time point corresponding to each target management student, acquiring the learnable time length corresponding to each target management student according to the first learning time point and the examination time point corresponding to each target management student, acquiring the basic information corresponding to the remote training course in the acquisition period, acquiring the plan completion time length corresponding to the remote training course in the acquisition period, counting the learning plan adjustment influence coefficients of each target management student, matching and comparing the learning plan adjustment influence coefficients corresponding to each target management student with the learning plan adjustment influence coefficients corresponding to each learning plan adjustment level in the database, and then the learning plan adjustment level corresponding to each target management student is obtained.
7. The intelligent management system for remote training based on mobile internet as claimed in claim 1, wherein: the learner learning plan trimming unit is used for adjusting the learning plan corresponding to each target management learner according to the result of the learning plan analysis of each target management learner in the acquisition period, further extracting the learning plan adjusting scheme corresponding to each learning plan adjusting level from the database according to the learning plan adjusting level corresponding to each target management learner, further acquiring the learning plan adjusting scheme corresponding to each target management learner learning plan adjusting level, and taking the learning plan adjusting scheme as the trimmed learning plan corresponding to each target management learner.
8. The intelligent management system for remote training based on mobile internet as claimed in claim 1, wherein: the student learning information analysis is used for analyzing and managing learning progress corresponding to each target management student according to learning information corresponding to each target management student, acquiring a learning information set of each target management student, further acquiring the number of completed classes corresponding to each target management student and learning time periods corresponding to each completed class, counting learning progress conformity influence coefficients of each target management student and learning time period preference influence coefficients of each target management student, and analyzing learning progress and preference learning time periods of each target management student according to learning progress conformity influence coefficients of each target management student and learning time period preference influence coefficients of each target management student.
9. The intelligent management system for remote training based on mobile internet as claimed in claim 1, wherein: the learning state analysis is used for analyzing the learning state of each target management student according to the sign-in information and the interaction information corresponding to each target management student, further acquiring the accumulated sign-in times and the interaction times of each target management student according to the accumulated sign-in times set and the interaction information set of each target management student, further analyzing the accumulated sign-in times and the interaction times corresponding to each target management student, further acquiring the comprehensive learning active influence coefficient of each target management student, matching and comparing the comprehensive learning active influence coefficient of each target management student with the active influence coefficient corresponding to each learning active level, and further acquiring the learning active level corresponding to each target management student.
10. The intelligent management system for remote training based on mobile internet as claimed in claim 1, wherein: the terminal for sending the learning information sends the analysis results of the learning plan management module, the learning progress management module and the learning state management module to corresponding receiving personnel, wherein the learning information sending comprises learning plan rest information sending, learning progress reminding information sending and learning state information sending.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111586442.5A CN114240221A (en) | 2021-12-21 | 2021-12-21 | Remote training intelligent management system based on mobile internet |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111586442.5A CN114240221A (en) | 2021-12-21 | 2021-12-21 | Remote training intelligent management system based on mobile internet |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114240221A true CN114240221A (en) | 2022-03-25 |
Family
ID=80761869
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111586442.5A Withdrawn CN114240221A (en) | 2021-12-21 | 2021-12-21 | Remote training intelligent management system based on mobile internet |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114240221A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117593159A (en) * | 2024-01-17 | 2024-02-23 | 天津市品茗科技有限公司 | Training management system and method |
-
2021
- 2021-12-21 CN CN202111586442.5A patent/CN114240221A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117593159A (en) * | 2024-01-17 | 2024-02-23 | 天津市品茗科技有限公司 | Training management system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR100955275B1 (en) | System and Method for Managing of Studying | |
| CN105575199A (en) | Intelligent music teaching system | |
| CN103258451A (en) | Classroom teaching auxiliary system | |
| CN108171414A (en) | Evaluation System for Teaching Quality | |
| CN109685692A (en) | A kind of noninductive acquisition and analysis system of various dimensions student learning behavior | |
| CN108769116A (en) | The community service switching plane of block chain | |
| CN110502999A (en) | Campus Management System and method | |
| CN112785205A (en) | Intelligent teaching comprehensive analysis system based on education big data | |
| CN109214965A (en) | Data preparation method, system and device | |
| CN114240221A (en) | Remote training intelligent management system based on mobile internet | |
| CN107977805A (en) | Educational administration's digitization management platform of imparting knowledge to students and method | |
| CN111027863A (en) | Cloud computing application online training method | |
| CN109949189A (en) | A kind of online teaching interaction effect evaluation method and device | |
| CN113592445A (en) | Talent management system based on big data | |
| CN110991943A (en) | Teaching quality evaluation system based on cloud computing | |
| CN113268512B (en) | Enterprise post professional skill training system based on internet platform | |
| CN112598944B (en) | Intelligent English teaching system | |
| CN114298872A (en) | Learning situation information processing method | |
| CN109300350B (en) | Extracurricular tutoring method and device | |
| CN113516572A (en) | Online learning statistics and evaluation system | |
| CN113240559A (en) | Multimedia teaching device is used in hotel management teaching | |
| Hassell et al. | The UK pharmacy degree: Attrition rates and demographics of non-completers | |
| CN112908062A (en) | Education and training platform | |
| CN111259305A (en) | Online intelligent education method | |
| CN112687138A (en) | Interactive teaching platform based on Internet of things |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20220325 |
|
| WW01 | Invention patent application withdrawn after publication |