CN107993166B - Learning system and method based on credit statistics - Google Patents
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Abstract
The invention discloses a learning system based on credit statistics, which comprises a course purchasing module, a learning module and a learning module, wherein the course purchasing module is used for receiving courses selected and purchased by a registered account; the learning test module is used for receiving the examination request, randomly calling examination questions in a course question bank corresponding to the examination request and feeding the examination questions back to a registration account for sending the examination request; and the result output module is used for receiving answers of the registered account to the course test questions, inquiring the preset question bank and the answer database, judging and acquiring the total score of the examination of the registered account, and sending the total score of the examination and the corresponding credit grade to the registered account, wherein the registered account comprises an account name, an account grade, a credit grade and a ranking. The method solves the problem that the training crowd is limited by the existing training mode, facilitates the training crowd to comprehensively utilize personal time to construct a knowledge system in an online mode, and achieves the purpose of supervising and urging the training crowd to learn through the setting of the account level and the credit level.
Description
Technical Field
The invention relates to the technical field of online learning, in particular to a learning system and method based on credit statistics.
Background
The existing knowledge training, especially the wealth management and wealth culture knowledge training are generally on-site teaching, and the mode of improving the knowledge greatly limits people who are in short supply of time.
Disclosure of Invention
The invention aims to provide an online and real-time knowledge training platform.
In order to achieve the above object, the present invention provides a learning system based on credit statistics, which comprises a course purchasing module for receiving courses selected and purchased by a registered account;
the learning test module is used for receiving the examination request, randomly calling examination questions in a course question bank corresponding to the examination request and feeding the examination questions back to a registration account for sending the examination request;
and the result output module is used for receiving answers of the registered accounts for the course test questions, inquiring the preset question bank and the answer database, judging and obtaining the total examination score of the registered accounts, and sending the total examination score and the corresponding credit rating to the registered accounts, wherein the registered accounts comprise account names, account levels, credit ratings and ranks, the account levels comprise primary accounts and secondary accounts, and the secondary accounts are divided according to the total examination score of the primary accounts.
Further, the system also includes an account level management module, a configuration module, and a credit ranking module, wherein,
the account level management module is used for counting the total scores of all courses of the registered account, inquiring the account level corresponding to the total score value, and modifying the level of the registered account by using the configuration module;
and the credit ranking unit is used for counting the total credits of all courses of all the registered accounts, sorting the registered accounts in a descending order according to the total scores and outputting the sorted registered accounts to the registered accounts.
Further, the system also comprises
And the learning management module is used for calling the total scores of all courses of all the registered accounts in the credit ranking unit through a preset calling interface and counting the number of different secondary accounts under the same primary account.
Further, the system also comprises
And the course selection and repair module is used for accessing a preset course database through a preset data interface, and selecting and purchasing courses.
Further, the system also comprises
And the upgrading strategy module is used for providing an upgrading scheme according to the level of the registered account, and the upgrading scheme comprises a primary account upgrading scheme and/or a secondary account upgrading scheme.
The invention also provides a learning method based on the credit statistics, which comprises the following steps:
receiving courses selected and purchased by a registered account;
receiving an examination request, randomly calling examination questions in a course question bank corresponding to the examination request and feeding the examination questions back to a registration account sending the examination request;
receiving answers of a registered account for the course test questions, inquiring a preset question bank and an answer database, judging and obtaining the total test score of the registered account, and sending the total test score and the corresponding credit rating to the registered account, wherein the registered account comprises an account name, an account rating, a credit rating and a ranking, the account rating comprises a primary account and a secondary account thereof, and the secondary account is divided according to the total test score of the primary account.
Further, the method also comprises
Counting the total scores of all courses of the registered account, inquiring the account level corresponding to the total score, and respectively modifying the level of the registered account by using a configuration module;
and counting the total scores of all courses of all the registered accounts, sorting the total scores in a descending order and outputting the sorted total scores to each registered account.
Further, the method also comprises
And calling the total scores of all courses of all the registered accounts through a preset calling interface, and counting the number of different secondary accounts under the same primary account.
Further, the method also comprises
And accessing a preset course database through a preset data interface, and selecting and purchasing courses.
Further, the method also comprises
And providing an upgrading scheme according to the level of the registered account, wherein the upgrading scheme comprises a primary account upgrading scheme and/or a secondary account upgrading scheme.
In the technical scheme, the method solves the problem that the training crowd is limited in time by the existing training mode, facilitates the training crowd to comprehensively utilize personal time to construct a knowledge system in an online mode, and achieves the purpose of supervising and urging the training crowd to learn by setting the account level and the academic classification level.
Drawings
In order to more clearly illustrate the embodiments of the present application or technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings can be obtained by those skilled in the art according to the drawings.
FIG. 1 is a block diagram illustrating an embodiment of a learning system based on credit statistics according to the present invention;
fig. 2 is a schematic view of an application structure of an embodiment of completing account registration in the learning system based on credit statistics according to the present invention;
FIG. 3 is a diagram illustrating an application structure of one embodiment of purchasing courses in the learning system based on credit statistics according to the present invention;
FIG. 4 is a diagram illustrating an application structure of an embodiment of course classification in the learning system based on credit statistics according to the present invention;
FIG. 5 is a block diagram illustrating another embodiment of a learning system based on credit statistics according to the present invention;
FIG. 6 is a diagram illustrating an example of the application of a rank to a registered account in another embodiment of the learning system based on credit statistics according to the present invention;
FIG. 7 is a diagram illustrating the application of one embodiment of the registered account management classification in another embodiment of the credit statistics-based learning system of the present invention;
FIG. 8 is a flowchart illustrating an embodiment of a learning method based on credit statistics according to the present invention;
FIG. 9 is a flow chart illustrating another embodiment of a learning method based on credit statistics according to the present invention;
FIG. 10 is a block diagram of an embodiment of a learning method based on credit statistics according to the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, those skilled in the art will now describe the present invention in further detail with reference to the accompanying drawings.
As shown in fig. 1, the present invention provides a learning system based on credit statistics, which includes a course purchasing module 10, a learning test module 20 and a result output module 30.
The course purchasing module 10 is configured to receive courses selected and purchased by a registered account; in specific implementation, a user may optionally use a mobile device (such as a smart phone, a pad, and the like), a PC, and the like to complete account registration, and the account registration may generally be completed by using a mobile phone number, a mailbox, and binding third party APP software, and the following describes the present invention by taking a mobile phone as an example. In this embodiment, as shown in fig. 2, account registration may be optionally completed by using a mobile phone number, so that a user may purchase, learn, test, and the like a course. The invention aims to provide courses for a user to learn, so that when the method is implemented specifically, the courses selected by a registered account can be displayed on a mobile phone, and the method attracts the user through the pre-displayed courses and aims to promote the user to complete registration and purchase; optionally, the user traffic is greatly improved by displaying the user traffic on the mobile phone after the registration is completed. Meanwhile, each course can be introduced to the user according to the course guidance and the introduction, and the course catalog of the course is provided for the user to select, as shown in fig. 3, the user purchases the course according to the selected course, and after clicking the user purchases the course, the course purchasing module receives the request. In specific implementation, all courses can be classified in advance, as shown in fig. 4, in this embodiment, the courses are classified in a manner of course classes (such as basic, creating, enriching, transferring, sharing, synthesizing, cultural, and other), different course classes include different course grades, and different courses of different classes are further divided according to different course grades, so that a user can select the courses based on his own basis.
The learning test module 20 is configured to receive an examination request, randomly call examination questions from a course question bank corresponding to the examination request, and feed the examination questions back to a registration account that sends the examination request; specifically, the examination request comprises a registration account ID and a course ID of the examination, and during specific implementation, the course examination question is called to be selectable and is quickly acquired through the course ID of the examination, so that the feedback efficiency of the learning test module is improved, and the user experience is improved. In real time, the test questions of all courses are stored in the cloud database, and each test question is identified through a test question number (consisting of the course number and a test question serial number). When the course test questions are stored in the cloud, the registered account sends test requests every time, and the test questions are randomly called and downloaded in the course test question library corresponding to the test requests, so that the timeliness and objectivity of the test questions are guaranteed, the purpose of checking the learning effect is achieved through the course test questions, and the defect that a user knows knowledge points is overcome.
The result output module 30 is configured to receive answers of the registered account for the course test questions, query a preset question bank and an answer database, determine and obtain a total score of the examination of the registered account, and send the total score of the examination and a corresponding credit rating to the registered account, where the registered account includes an account name, an account rating, a credit rating, a ranking, and the like. In particular, the account level optionally includes a primary account and its and secondary accounts). The account level comprises a primary account and a secondary account thereof, and the secondary account is divided according to the total score of the examination of the primary account. The account name is set in a user-defined mode when the user finishes registration or after registration, the primary account, the secondary account and the ranking are non-editing items, and particularly, the account name can be divided according to the total score of the registered account examination.
Further, as shown in fig. 5, the system further includes an account level management module 40, a score ranking module 50, a learning management module 60, a course selection module 70, and an upgrade strategy module 80.
The account level management module 40 is configured to count total scores of all courses in the registered account, query an account level corresponding to the total score value, and modify the level of the registered account by using the configuration module; in specific implementation, the account level management module counts the total credit of the registered account in real time, and after determining the primary account corresponding to the account according to the total credit, further determines the level of the primary account, for example, the score interval of the total credit of the primary account corresponding to the diamond member is [ X, Y ], where X is optionally 5200 and Y is optionally 7500, and in specific implementation, the values of X and Y can be set to other values according to actual needs. Specifically, the first-level members are classified into different types according to different score intervals from low to high, the account level is specifically selectable as shown in table 1, the first-level members are classified into diamond members, platinum members, gold card members, silver card members, common members and the like, and the only basis for determining the types of the members is the total score of the members. Accordingly, the primary membership determined by one score interval can be further divided into secondary membership.
TABLE 1
Specifically, each time an account of the registered account is logged in, prompt information can be provided for the registered account, information such as account grade, total credit, current account ranking, total ranking, learned course, unscheduled course and the like can be prompted on a personal page of the registered account, and the prompt can be prompted in a scroll bar mode, a pop-up window mode and the like in specific implementation
The credit ranking unit 50 is used for counting the total credits of all courses of all the registered accounts, sorting the registered accounts in a descending order according to the total scores and outputting the sorted registered accounts to the registered accounts; the ranking of the registered account is given according to the total score of the registered account for all courses, and different total scores correspond to different ranks, which is specifically referred to table 1. Each user arranges all the registered accounts in descending order of the total score, and in specific implementation, the arrangement optionally displays the page, and optionally displays only the top N registered accounts, as shown in fig. 6.
The learning management module 60 is configured to call the total scores of all courses of all registered accounts in the credit ranking unit through a preset call interface, and count the number of different secondary accounts under the same primary account; specifically, the higher the total credit of the user is, the higher the level of the corresponding account is, specifically, as shown in fig. 7, in the present invention, the level of the account is divided into a primary account and a secondary account corresponding to the primary account, the primary account can be set as a diamond member, a platinum member, a gold card member, a silver card member, etc., and the primary account diamond member includes a secondary account empire, a parent king, a king; the primary account platinum member comprises a secondary account duke, a marquest and a earmark; the first-level account gold card member comprises a second-level account minor and a male minor; the first-level account bank card member comprises a second-level account jazz and knight.
A course selecting and repairing module 70, configured to access the course database through a preset data interface, and select and purchase courses; and the upgrade strategy module 80 is used for providing an upgrade scheme according to the level of the registered account, wherein the upgrade scheme comprises a primary account upgrade scheme and/or a secondary account upgrade scheme. On the premise of registering the current account level of the account, the invention provides a course selection and upgrade scheme for the user so as to improve the level of the primary account, or the level of the secondary account, or the level of the primary account and the secondary account, and further create a wealth culture layer and a mental home of high-net-worth people through knowledge learning.
Fig. 8 is a schematic flow chart illustrating an embodiment of a learning method based on credit statistics according to the present invention. The method comprises the following steps:
in S101, the course purchasing module 10 receives a course selected and purchased by the registered account;
in S102, the learning test module 20 receives the test request, randomly calls test questions from the course question bank corresponding to the test request, and feeds the test questions back to the registered account sending the test request;
in S103, the result output module 30 receives answers of the registered accounts to the course test questions, queries the preset question bank and answer database, determines and obtains the total score of the test of the registered accounts, and sends the total score of the test and the corresponding credit rating to the registered accounts, where the registered accounts include account names, account ratings, credit ratings, and ranks.
Further, fig. 9 is a schematic flow chart of another embodiment of the learning method based on credit statistics according to the present invention.
The method comprises S101-S108
In S104, the account level management module 40 counts the total scores of all courses in the registered account, queries the account level corresponding to the total score, and modifies the levels of the registered accounts by using the configuration module;
in S105, the score ranking unit 50 counts the total scores of all the courses in all the registered accounts, sorts the total scores in descending order, and outputs the sorted total scores to each registered account.
In S106, the learning management module 60 calls the total scores of all the courses of all the registered accounts through the preset call interface, and counts the number of different secondary accounts in the same primary account. The number of users in the secondary accounts and the number of the same secondary accounts under the same primary account in the platform are realized, so that different registered users can know the learning progress of the users.
In S107, the course repairing module 70 accesses the preset course database through the preset data interface, and selects and purchases a course.
At S108, the upgrade strategy module 80 provides an upgrade scheme according to the level of the registered account, where the upgrade scheme includes a primary account upgrade scheme and/or a secondary account upgrade scheme.
Fig. 10 is a schematic diagram of an erection structure of an embodiment of a learning method based on credit statistics according to the present invention. The embodiment includes a client 100 and a learning system 200 based on the credit statistics. In specific implementation, the client may optionally include a mobile device, a PC, a pad, a notebook, and the like, and in this embodiment, the present invention is described by taking a smart phone as an example.
The user uses the mobile phone 100 to complete account registration on the learning system 200 based on the credit statistics in advance. Then, the user purchases the course on the learning system 200 based on the credit statistics by using the mobile phone, and can take an examination after reading the purchased course, and the learning system 200 based on the credit statistics feeds back the total score to the mobile phone of the user through the examination, so that the user can judge the mastering degree of the knowledge through the examination. Meanwhile, the learning system 200 based on the credit statistics can give the user the account level according to the total credit obtained by the user through the course examination, and meanwhile, the primary account and the secondary account of the account number are given according to the total credit of the account of the user, all registered accounts are sorted in a descending order according to the total credit of all courses, and the sorted registered accounts are displayed in a category mode, so that the user can master the difference of the user to other people in real time and supervise and urge learning. Meanwhile, the users at the current account level and the credit level can perform course selection and revision and upgrade strategy improvement level provided by the learning system 200 based on credit statistics, so that the purpose of supervising and urging learning is achieved for the users again. In this embodiment, the mobile phone is used for communicating with the learning system 200 based on the credit statistics, and specifically, the learning system 200 based on the credit statistics may be downloaded and operated on the mobile phone side in advance, or a search engine is used for realizing communication with the learning system 200 based on the credit statistics.
While certain exemplary embodiments of the present invention have been described above by way of illustration only, it will be apparent to those of ordinary skill in the art that the described embodiments may be modified in various different ways without departing from the spirit and scope of the invention. Accordingly, the drawings and description are illustrative in nature and should not be construed as limiting the scope of the invention.
Claims (10)
1. A learning system based on credit statistics is characterized by comprising
The course purchasing module is used for receiving courses selected and purchased by the registered account;
the learning test module is used for receiving the examination request, randomly calling examination questions in a course question bank corresponding to the examination request and feeding the examination questions back to a registration account for sending the examination request;
the result output module is used for receiving answers of the registered accounts for the course test questions, inquiring a preset question bank and an answer database, judging and obtaining the total score of the course test, sending the credit corresponding to the total score of the test to the registered accounts, wherein the registered accounts comprise account names, account levels, total credits and ranks, the account levels comprise primary accounts and secondary accounts thereof, the levels of the primary accounts and the secondary accounts are confirmed and upgraded, and the primary accounts and the secondary accounts are only divided according to the total credit; each primary account corresponds to a range of the credit interval, the primary accounts determined by the range of the credit interval comprise at least one secondary account, and each secondary account corresponds to a range of the credit interval; one division range corresponding to each primary account is equal to the sum of the division ranges corresponding to at least one secondary account included in the primary account;
and the account level management module is used for counting the total credit of the registered account, determining the account level corresponding to the registered account according to the total credit, and modifying the level of the registered account by using the configuration module.
2. The credit statistics-based learning system of claim 1, further comprising
And the credit ranking unit is used for counting the total credits of all courses of all the registered accounts, sorting the total credits in a descending order and outputting the sorted total credits to the registered accounts.
3. The credit statistics-based learning system of claim 2 further comprising
And the learning management module is used for calling the total scores of all courses of all the registered accounts in the credit ranking unit through a preset calling interface and counting the number of different secondary accounts under the same primary account.
4. The credit statistics-based learning system of claim 2 further comprising
And the upgrading strategy module is used for providing an upgrading scheme according to the level of the registered account, and the upgrading scheme comprises a primary account upgrading scheme and/or a secondary account upgrading scheme.
5. The credit statistics-based learning system of claim 1, further comprising
And the course selection and repair module is used for accessing a preset course database through a preset data interface, and selecting and purchasing courses.
6. A learning method based on credit statistics is characterized by comprising the following steps:
receiving courses selected and purchased by a registered account;
receiving an examination request, randomly calling examination questions in a course question bank corresponding to the examination request and feeding the examination questions back to a registration account sending the examination request;
receiving answers of a registered account for the course test questions, inquiring a preset question bank and an answer database, judging and obtaining the total score of the course test, and sending the credit corresponding to the total score of the test to the registered account, wherein the registered account comprises an account name, an account level, a total credit and a ranking, the account level comprises a primary account and a secondary account thereof, the level of the primary account and the secondary account is confirmed and upgraded, and the primary account and the secondary account are only divided according to the total credit; each primary account corresponds to a range of the credit interval, the primary accounts determined by the range of the credit interval comprise at least one secondary account, and each secondary account corresponds to a range of the credit interval; one division range corresponding to each primary account is equal to the sum of the division ranges corresponding to at least one secondary account included in the primary account;
and counting the total credit of the registered account, determining the account level corresponding to the registered account according to the total credit, and modifying the level of the registered account by using a configuration module.
7. The credit statistics-based learning method of claim 6, further comprising
And counting the total credit of all courses of all the registered accounts, sorting the total credit in a descending order and outputting the sorted total credit to each registered account.
8. The credit statistics-based learning method of claim 7, further comprising
And calling the total scores of all courses of all the registered accounts through a preset calling interface, and counting the number of different secondary accounts under the same primary account.
9. The credit statistics-based learning method of claim 7, further comprising
And providing an upgrading scheme according to the level of the registered account, wherein the upgrading scheme comprises a primary account upgrading scheme and/or a secondary account upgrading scheme.
10. The credit statistics-based learning method of claim 6, further comprising
And accessing a preset course database through a preset data interface, and selecting and purchasing courses.
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| CN109902921A (en) * | 2019-01-17 | 2019-06-18 | 平安城市建设科技(深圳)有限公司 | Management method, device, equipment and the storage medium of user's growth system |
| CN111210374A (en) * | 2020-02-24 | 2020-05-29 | 广东科作安全科技有限公司 | Training method of common student side based on training platform |
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