Learning communication system and method for applicationTechnical Field
The invention relates to the technical field of network learning, in particular to a learning communication system and method for application.
Background
The application is a capability test for simulating daily working property of a public affair in a recording test of the public affair in a state organ. The application mainly examines the reading comprehension ability, comprehensive analysis ability, problem raising and solving ability, implementation ability, character expression ability and the like of an examinee. Therefore, the declarative test does not and cannot have an exact, fixed, unique standard answer. Moreover, the application learning mode is different from the traditional learning mode, and no formal professional teacher gives instruction.
At present, the mode of examinee learning application includes three modes, firstly, self-learning is carried out through self-purchased data; secondly, self-learning is carried out through an online learning platform on the market, for example, teaching resources are purchased or downloaded online, online learning time is reasonably arranged according to own time, usually, the online learning teaching resources are recorded in advance and uploaded to the online learning platform, examinees can encounter incomprehensible problems or have better insights in the autonomous learning process and need to enter software platforms such as related WeChat groups, QQ groups, learners, posts and the like for questioning and sharing; and thirdly, tutoring learning is carried out through an offline learning mechanism. The three modes have the following defects:
(1) the object for answering the questions is diversified, so that the reliability of the declaration question answering is low, and the examinees can hardly find the needed and relevant question answering;
(2) due to diversification of resource types, when the examinee learns by self, the examinee cannot select proper data to learn regularly, the learning mode is disordered, and the learning efficiency is low;
(3) because the abilities of each person are different, the guiding abilities of the related training and guiding teachers are also different, and the training and guiding abilities of the teachers cannot be effectively judged before training and learning of the examinees, so that the application level of the examinees cannot reach an ideal target after training. And teachers in training classes lack self-learning enthusiasm, the self ability is not easy to promote, and the teaching ability to examinees is limited.
Therefore, there is a need for a learning communication system for claiming, which can screen and culture claiming teachers with excellent learning and guiding experiences, so as to guide and learn regularly and accurately for the existing examinees, and improve the efficiency and level of claiming and learning of the examinees.
Disclosure of Invention
The invention mainly aims to provide a learning communication system for application theory, which can screen and culture application theory teachers with excellent learning guidance experience, perform regular and accurate guidance learning on the existing examinees and improve the application theory learning efficiency and the application theory level of the examinees.
To achieve the above object, the present invention provides a learning communication system for application, comprising the following modules,
excellent trainee screening module: the system is used for acquiring the student information passing the declaration test and screening excellent old students with excellent declaration test results from the student information;
a feedback collection module: the system is used for collecting the feedback of the opinions of the existing students on the teaching courseware made by the excellent old students;
an identity rating module: and the system is used for processing and summarizing the opinion feedback collected by the feedback collection module and rating the identity grade of the excellent old student according to a preset rating rule.
Description of the drawings: the minimum standard line passing the declaration test can prove that the student has the declaration actual combat experience, and the minimum standard line of the declaration test can be set independently according to specific conditions.
The working principle and the advantages of the invention are as follows:
1. generally, 40 to 50 points of the conclusion are lower, 50 to 65 points are middle and high, 65 to 70 points are excellent, and more than 70 points are excellent. The excellent trainees screening module can select excellent trainees from the trainees passing the application test, wherein the trainees getting high scores in the application test are excellent according to the existing application result evaluation standard, and the scheme selects the trainees from the excellent trainees so as to select the excellent candidate of the teacher in application teaching, namely the excellent trainees.
2. The candidate for the application teaching teacher can make teaching courseware for teaching, and the candidate for the application teaching teacher is excellent in self, high in reliability of answer of application questions and reliable in referential significance. The teaching courseware can be manufactured and taught conveniently, so that examinees can learn according to excellent learning experiences of the students during self-learning, learning mode confusion is avoided, and learning efficiency is improved. The feedback collection module and the identity rating module are arranged, and through collection of opinion feedback and a rating mode of identity grades, a candidate of a patent application teaching teacher-an excellent old student can conveniently improve self-learning capacity, and develop more excellent and professional patent application teaching teachers.
Further, the system also comprises the following modules:
an invitation module: the system is used for sending out a teaching question and answer invitation to the excellent old student according to the student information of the excellent old student;
an application module: and the system is used for receiving the application information of the students passing the application test and auditing the excellent old students according to the screening conditions of the excellent student screening module.
The invitation module is convenient for obtaining excellent application theory talents. The application module can be arranged to conveniently receive active students.
Further, the system also comprises the following modules:
an identity granting module: the system comprises a server and a server, wherein the server is used for giving an initial identity level to an excellent old student after receiving the invitation accepted by the excellent old student or after the application of the excellent old student passes the verification;
an authority endowing module: the system is used for endowing excellent old students with lecture permission for lecturing the existing students.
Through the mode that the identity was given and the authority was given, be convenient for manage outstanding old student.
Further, the system also comprises the following modules:
courseware obtaining module: the method is used for obtaining teaching courseware made by excellent old students; the teaching courseware comprises recorded courseware and live courseware;
an answer obtaining module: used for obtaining the solution of excellent old students to the problem of the declaration.
The courseware acquisition module is convenient for enrich the teaching courseware, makes the courseware continuously updated, is applicable to the current student of different demands.
Further, the identity rating module includes the following modules,
courseware feedback processing submodule: the system is used for processing and adjusting the teaching courseware according to the opinion feedback of the current student to the teaching courseware, and after the opinion feedback is graded, the opinion feedback comprises good comment, medium comment and bad comment;
courseware adjusting submodule: the system is used for calculating the good evaluation rate and the bad evaluation rate of the current student on the teaching courseware, setting the threshold value of the bad evaluation rate, comparing the threshold value with the bad evaluation rate counted in the opinion feedback of the teaching courseware, and if the bad evaluation rate is greater than the threshold value, performing off-shelf processing on the teaching courseware;
the threshold comprises a poor evaluation number threshold and a poor evaluation rate threshold, and the poor evaluation rate threshold is used for carrying out comparison calling when the poor evaluation number threshold is met.
The courseware feedback processing submodule is arranged to prevent excellent and old students from misleading the existing students due to bad answers, and the courseware adjusting submodule is arranged to prevent bad effects caused by continuous bad comment courseware. The threshold value can be set to avoid the situation that the bad evaluation rate is higher and not fit for the actual situation due to the small base number, so that the false shelf-off occurs.
Further, the identity rating module further comprises the following modules,
the question-answer feedback processing submodule: the system comprises a data processing system, a data processing system and a data processing system, wherein the data processing system is used for evaluating the problem solution according to the opinion feedback of the current student on the problem solution of the applied question, and the opinion feedback comprises praise, collection and poor comment after being graded;
question-answer evaluation analysis submodule: the method is used for adapting different studying value integrals to the problem solution according to the divided grades, acquiring the total quantity of opinion feedback of the current students to the problem solution and calculating the total studying value integral and the studying value integral of the problem solution.
The question and answer feedback processing module and the question and answer evaluation analysis module are convenient for evaluating the quality of the question and answer.
Further, the identity rating module further comprises the following modules,
courseware goodness analysis module: the system is used for obtaining the goodness evaluation of the teaching courseware of the excellent old student, and analyzing and judging whether the goodness evaluation meets a preset goodness evaluation threshold or not;
and a research value integral analysis module: the system is used for acquiring the sum and the evaluation value integral of the problem solution of the question of the old student on the question evaluation, and judging whether the sum and the evaluation value integral meets a preset evaluation value integral threshold value or not;
an identity rating adjustment module: the method is used for re-rating the identity level of the excellent old student when the goodness of the teaching courseware meets the goodness threshold and the sum of the question answers meets the research value integral threshold.
The promotion level is arranged, so that promotion enthusiasm of excellent old students and self-promotion enthusiasm are promoted.
Furthermore, the grading division is divided into four stages, and the permission giving module is also used for matching corresponding teaching schemes to make permissions according to identity grades reclassified by excellent old students.
The classification of the rating four-level facilitates the reduction of promotion difficulty, and the permission is formulated by combining with a teaching scheme, so that benefits are conveniently added and distributed, and the promotion enthusiasm and self-promotion power of excellent old students are promoted.
Further, the system also comprises the following modules,
and a rating auditing module: the method is used for randomly extracting the problem answers and the teaching courseware of the excellent old students for examination when the identity grades of the excellent old students are re-rated, and auditing the new identity grades of the excellent old students according to the examination results.
By means of random assessment, the condition of cheating by brushing is avoided.
The learning communication method for application theory applies the learning communication system for application theory.
Drawings
Fig. 1 is a logic block diagram of a learning communication system for application of an embodiment of the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
examples
A learning communication system for application is basically shown in figure 1 and comprises a server, wherein the server comprises an excellent student screening module, an authority giving module, a courseware obtaining module, a feedback collecting module, an identity rating module, an inviting module, an identity giving module and a rating auditing module.
Excellent trainee screening module: the system is used for acquiring the student information passing the declaration test and screening excellent old students with excellent declaration test results from the student information; the minimum standard line passing the application test is expressed through the application test, so that the student can be proved to have the application actual combat experience, and the minimum standard line of the application test can be set independently according to specific conditions. The minimum standard line is 50 minutes in this embodiment.
The excellent trainee screening module executes the following example: among past students, those who passed the application test-application test for more than 50 points had ABCD four, and the four had high or low performance, wherein AB two passed the test and obtained high points in the application test, and could be identified as excellent old students, and CD two passed the test but did not obtain high points in the application test, and could not be identified as excellent old students. And the judgment of high score and low score can be specifically set according to the total score of the application test. For example, the excellent trainees can be declared to have a result of more than 75 points and the ordinary trainees can be declared to have a result of 60-75 points.
An invitation module: the system is used for sending out a teaching question and answer invitation to the excellent old student according to the student information of the excellent old student; the student information comprises identity information and contact information of the student. And when the AB two persons are qualified as excellent old students, sending out a question and answer invitation to the AB two persons according to the contact way of the AB two persons.
An application module: the system comprises a screening module, a data processing module and a data processing module, wherein the screening module is used for receiving application information of students passing the application test, and auditing excellent old students according to screening conditions of an excellent student screening module; for example, the results of the two-person declaration test of the student EF are respectively 30 points and 80 points, and both the student EF and the student EF send application information to the application module, wherein the result of the declaration test of the student E is lower than the minimum standard line and cannot pass the audit. The student F meets all the screening conditions of the excellent student screening module, the review can be passed, and the student F can be identified as an excellent old student.
An identity granting module: and the method is used for assigning an initial identity grade to the excellent old student after receiving the acceptance invitation of the excellent old student or after the application of the excellent old student passes the verification. After the excellent old student is endowed with the initial identity grade, the excellent old student can make teaching courseware for teaching. The identity level can be divided into four levels, namely a member, a claimant, a lecturer and a speaker, wherein the initial identity level is the member of the first level.
An authority endowing module: after the initial identity level is given to the excellent old student, the excellent old student is given the question answering authority for answering question answering in the question answering and learning exchange area, and the excellent old student is given the lecture authority for lecturing the existing student; after the excellent old students are endowed with related rights, the questions asked by the questioner can be solved and the lectures can be given to the existing students in the filed study exchange area.
An answer obtaining module: the method is used for obtaining the solution of excellent old students to the question of the declaration in the declaration learning exchange area.
Courseware obtaining module: the method is used for obtaining teaching courseware made by excellent old students; the teaching courseware comprises recorded courseware and live courseware, and the live courseware represents the teaching content of live teaching. The excellent old students not only can answer the question questions asked by the questioner in the question-making and study exchange area, but also can make teaching courseware for question-making and study so as to be used for reference study of the existing students needing to do the question-making and study.
A feedback collection module: the system is used for collecting the opinion feedback of the existing students on the answering question of the excellent old students in the exchange area of the opinion learning and also used for collecting the opinion feedback of the existing students on the teaching courseware made by the excellent old students; each existing student can perform opinion feedback on answers of questions answered by excellent old students and teaching courseware, after the opinion feedback is graded, the opinion feedback comprises good comment, medium comment and bad comment, and besides the fixed grade, the existing students can comment on the answers of the questions and the teaching courseware and state own related opinions.
An identity rating module: and the system is used for processing and summarizing the opinion feedback collected by the feedback collection module and rating the identity grade of the excellent old student according to a preset rating rule.
The identity rating module specifically comprises the following seven sub-modules;
courseware feedback processing submodule: the system is used for processing and adjusting the teaching courseware according to the suggestion feedback of the current student to the teaching courseware;
courseware adjusting submodule: the method is used for calculating the good evaluation rate and the bad evaluation rate of the current students on the teaching courseware, setting the threshold value of the bad evaluation rate, comparing the threshold value with the bad evaluation rate counted in the opinion feedback of the teaching courseware, and if the bad evaluation rate is greater than the threshold value, performing off-shelf processing on the teaching courseware. The threshold values comprise a poor evaluation number threshold value and a poor evaluation rate threshold value, and the poor evaluation rate threshold value is used for carrying out comparison calling when the poor evaluation number threshold value is met. For example, the threshold value of the number of bad comments is set to be 10, the threshold value of the bad comment rate is set to be 10%, when the number of bad comments exceeds 10, the calculated bad comment rate can be compared with the threshold value of the bad comment rate by 10%, and if the calculated bad comment rate exceeds 10%, the teaching courseware is put off shelves. Wherein the benefits of the courseware are given and excellent trainees can participate in the distribution.
A courseware goodness analysis submodule: the system is used for obtaining the goodness evaluation of the teaching courseware of the excellent old student, and analyzing and judging whether the goodness evaluation meets a preset goodness evaluation threshold or not; the quality of the teaching courseware can be judged conveniently.
The question-answer feedback processing submodule: the system comprises a data processing system, a data processing system and a data processing system, wherein the data processing system is used for evaluating the problem solution according to the opinion feedback of the current student on the problem solution of the applied question, and the opinion feedback comprises praise, collection and poor comment after being graded;
question-answer evaluation analysis submodule: the method is used for adapting different studying value integrals to the problem solution according to the divided grades, acquiring the total quantity of opinion feedback of the current students to the problem solution and calculating the total studying value integral and the studying value integral of the problem solution.
And a research value integral analysis submodule: the system is used for obtaining the sum total seeking value integral of the problem solution of the excellent old student about the question seeking problem and judging whether the sum total seeking value integral meets a preset seeking value integral threshold value or not; the excellent old student solves the question of the declaration and can obtain a certain number of research value points, and a preset research value point threshold is specifically set according to the identity grade, for example, when the identity grade is a member, the research value point of the applicant at the next stage of promotion is 2000; when the identity level is the claimant, the research value integral of the claimant in the next stage is 4000; when the identity level is the claimant, the accrual value integral of the introduction in the next stage is 6000.
Identity rating adjustment submodule: the method is used for re-rating the identity level of the excellent old student when the goodness of the teaching courseware meets the goodness threshold and the sum of the question answers meets the research value integral threshold. When the excellent student promotes from the member to the claimant, whether the favorable evaluation rate of the teaching courseware meets the favorable evaluation rate threshold value or not does not need to be examined, the promotion difficulty is properly reduced, and the promotion enthusiasm of the excellent old student is promoted.
And a rating auditing module: the method is used for randomly extracting the problem answers and the teaching courseware of the excellent old students for examination when the identity grades of the excellent old students are re-rated, and auditing the new identity grades of the excellent old students according to the examination results. By means of random assessment, the condition of cheating by brushing is avoided.
And the permission giving module is also used for matching a corresponding teaching scheme to make permission according to the identity grade reclassified by the excellent old students. The corresponding teaching scheme has the following authority: the member can open the common live broadcast teaching and does not participate in benefit distribution; the Shendao can open a small live-broadcast teaching classroom to participate in benefit distribution, and recorded and broadcast courseware can be sold on the shelf; the lecturer can start a medium-sized live broadcast teaching classroom and participate in benefit distribution, and recorded and broadcast courseware can be sold on shelf; the instructor can open a large-scale live broadcast teaching classroom, participate in benefit distribution, and recorded and broadcast courseware can also be sold on shelf.
A learning communication method for application, which is used for the learning communication system, and comprises the following steps:
screening excellent trainees: and acquiring the information of the students who pass the reiteration test in the past, and screening excellent old students with excellent reiteration test results from the information of the students.
An inviting step: and sending out a teaching question and answer invitation to the excellent old student according to the student information of the excellent old student.
Application steps are as follows: and receiving the application information of the students passing the application test, and auditing the excellent old students according to the application information according to the screening conditions of the excellent student screening module.
An identity endowing step: after receiving the invitation accepted by the excellent old student, the excellent old student is given an initial identity level.
And an authority endowing step: after the excellent old student is endowed with the initial identity level, the excellent old student is endowed with the question answering authority for answering question questions in the question-applying and learning exchange area, and the excellent old student is endowed with the lecture authority for lecturing the existing student.
And an answer obtaining step: and obtaining the solution of the excellent old students to the question of the declaration in the declaration learning exchange area.
Courseware obtaining step: acquiring teaching courseware made by excellent old students; the teaching courseware comprises recorded courseware and live courseware.
A feedback collection step: and the method is used for collecting the opinion feedback of the existing students on the answering question of the excellent old students in the question-making learning exchange area and also used for collecting the opinion feedback of the existing students on the teaching courseware made by the excellent old students.
And identity grading step: and processing and summarizing the opinion feedback collected by the feedback collection module, and grading the identity grade of the excellent and old students according to a preset grading rule.
The identity rating step specifically comprises the following seven substeps:
courseware feedback processing substep: processing and adjusting the teaching courseware according to the suggestion feedback of the current student to the teaching courseware;
courseware adjustment substep: and calculating the good evaluation rate and the bad evaluation rate of the current student on the teaching courseware, setting a threshold value of the bad evaluation rate, comparing the threshold value with the bad evaluation rate counted in the opinion feedback of the teaching courseware, and taking off the shelf of the teaching courseware if the bad evaluation rate is greater than the threshold value. The threshold values comprise a poor evaluation number threshold value and a poor evaluation rate threshold value, and the poor evaluation rate threshold value is used for carrying out comparison calling when the poor evaluation number threshold value is met.
And a courseware goodness analysis substep: and obtaining the goodness of the teaching courseware of the excellent old student, and analyzing and judging whether the goodness meets a preset goodness threshold.
Question-answer feedback processing substep: and evaluating the problem solution according to the opinion feedback of the current student on the problem solution of the application question, wherein after the opinion feedback is graded, the opinion feedback comprises praise, collection and poor comment.
Question-answer evaluation analysis substep: and adapting different studying value integrals to the problem solution according to the divided grades, acquiring the total sum quantity of opinion feedback of the current students to the problem solution, and calculating the total sum studying value integral of the problem solution.
And a value-applying integral analysis sub-step: and acquiring a total and researching value integral of the excellent old student on the problem solution of the researching problem, and judging and analyzing whether the total and researching value integral meets a preset researching value integral threshold value or not.
Identity rating adjustment substep: and when the goodness evaluation of the teaching courseware meets the goodness evaluation threshold and the sum of the answer to the question meets the evaluation value integral threshold, re-rating the identity grade of the excellent old student.
And (3) rating and auditing steps: when the identity grades of the excellent old students are re-rated, the problem answers and teaching courseware of the excellent old students are randomly extracted for examination, and the new identity grades of the excellent old students are examined according to the examination results.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.