CN112102676A - Training content generation method and device - Google Patents

Training content generation method and device Download PDF

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CN112102676A
CN112102676A CN202011056923.0A CN202011056923A CN112102676A CN 112102676 A CN112102676 A CN 112102676A CN 202011056923 A CN202011056923 A CN 202011056923A CN 112102676 A CN112102676 A CN 112102676A
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training
users
questions
user
knowledge points
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CN112102676B (en
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刘新
李平
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Shenzhen Launch Technology Co Ltd
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Shenzhen Launch Technology Co Ltd
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    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B7/00Electrically-operated teaching apparatus or devices working with questions and answers
    • G09B7/02Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
    • G09B7/04Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying a further explanation
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B7/00Electrically-operated teaching apparatus or devices working with questions and answers
    • G09B7/06Electrically-operated teaching apparatus or devices working with questions and answers of the multiple-choice answer-type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers
    • G09B7/08Electrically-operated teaching apparatus or devices working with questions and answers of the multiple-choice answer-type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying further information

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  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Educational Administration (AREA)
  • Educational Technology (AREA)
  • General Physics & Mathematics (AREA)
  • Electrically Operated Instructional Devices (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application provides a training content generation method and device, which are used for pushing an initial training scheme to a plurality of users based on a target subject; receiving feedback of the plurality of users on the questions in the initial training scheme, and counting the error rate of solving the questions in the initial training scheme by the users according to the feedback; and calling the corresponding question according to the knowledge point corresponding to the question with the error rate higher than the threshold value, generating a target training scheme, and displaying the question in the target training scheme. According to the method, feedback of users for training schemes is counted, corresponding questions are called according to knowledge points corresponding to the questions with the error rates higher than a threshold value, a target training scheme is generated, targeted training schemes can be made for weak knowledge points of each person, the users can be trained in a targeted and reinforced mode, and accordingly good training effects are achieved.

Description

Training content generation method and device
Technical Field
The application relates to the technical field of electronic information, in particular to a training content generation method and device.
Background
Currently, in a training system in a network app (Application, which is simply referred to as Application software) or a training system at a Web (Web) end, training content is generally output to different users according to a fixed template and different sequences of the fixed content, and targeted training cannot be performed on weak knowledge points of specific users.
Disclosure of Invention
The application provides a training content generation method and device, which are used for making a targeted training scheme for a user according to training feedback of the user through statistics.
In a first aspect, the present application provides an embodiment of a training content generation method, the method comprising:
s101, pushing an initial training scheme to a plurality of users based on a target theme;
s102, receiving feedback of the users to the questions in the initial training scheme, and counting the error rate of the users for solving the questions in the initial training scheme according to the feedback;
s103, calling corresponding topics according to the knowledge points corresponding to the topics with the error rate higher than the threshold value, generating a target training scheme, and displaying the topics in the target training scheme.
In the embodiment of the application, the weak knowledge points of each person can be trained by counting the feedback of the user answering training scheme, so that the user can obtain targeted reinforced training, and through the training, the knowledge points obtained by trainees can be more comprehensive and profound, thereby achieving a better training effect.
In an embodiment of the training content generating method, the step S101 specifically includes:
s1011, pushing a plurality of knowledge points to the user on the homepage, and determining the knowledge points concerned by the user according to the browsing result of the user;
and S1012, calling corresponding questions according to the knowledge points concerned by the users, generating an initial training scheme, and sending the initial training scheme to a plurality of users concerned about the knowledge points.
In one embodiment of the training content generating method, the step S102 further includes:
counting error topics of a first user according to feedback of the first user in the plurality of users;
the method for generating the training content further comprises the following steps:
s104, calling corresponding questions according to knowledge points corresponding to the questions mistaken by the first user, combining the corresponding questions with the questions in the target training scheme, updating the target training scheme, and displaying the questions in the target training scheme.
In one embodiment of the training content generation method, the training content generation method further comprises:
s105, sending the questions in the initial training scheme to a first user who concerns the knowledge points, receiving feedback of the first user on the questions in the initial training scheme, and counting error questions of the first user;
s106, calling corresponding questions according to knowledge points corresponding to the questions mistaken by the first user, combining the corresponding questions with the questions in the target training scheme, updating the target training scheme, and displaying the questions in the target training scheme.
The first user is not included in the plurality of users mentioned in the steps S1012 and S102.
In an embodiment of the training content generating method, the step S104 may specifically include: and calling corresponding questions and answers according to knowledge points corresponding to the questions which are wrong by the first user, combining the questions and the answers with the questions in the target training scheme, updating the target training scheme, displaying the questions in the target training scheme, and displaying the answers corresponding to the displayed questions when receiving an instruction of the user to check the answers.
In an embodiment of the training content generating method, the step S106 may specifically include:
and calling corresponding questions and answers according to knowledge points corresponding to the questions which are wrong by the first user, combining the questions and the answers with the questions and the answers in the target training scheme, updating the target training scheme, displaying the questions in the target training scheme, and displaying the answers corresponding to the displayed questions when receiving an instruction of the user to check the answers.
In one embodiment of the training content generating method, the step S101 may be preceded by;
s100, calling the plurality of knowledge points related to a training theme according to the training theme selected by a user;
the step S1011 specifically includes:
and pushing a plurality of knowledge points to a first group of users on the homepage, sending the association relation between the users and the knowledge points to the background after the users browse one knowledge point, recording the association relation, and determining the knowledge points concerned by the first group of users according to the association relation.
The step S1012 specifically includes:
determining a second group of users and a first group of knowledge points concerned by the second group of users according to the association relationship, wherein the first group of knowledge points are associated knowledge points, the second group of users are the same as the first group of users, or the second group of users are a subset of the first group of users;
and calling corresponding questions according to the first group of knowledge points concerned by the second group of users, generating the initial training scheme, and sending the initial training scheme to the second group of users concerned by the first group of knowledge points.
In an implementation manner of the training content generating method, in step S1012, invoking a corresponding topic according to a knowledge point focused by a user, and generating an initial training plan specifically includes:
calling questions which are related to the knowledge points concerned by the user and have the same or similar question types as or similar to the questions in the knowledge points concerned by the user from a question database, and inputting the questions into three training modules according to the difficulty degrees of the questions, wherein the three training modules are respectively as follows: the system comprises a basic training module, a key training module and an enhanced training module, wherein the difficulty of the subjects in the basic training module is the lowest, the difficulty of the subjects in the enhanced training module is the highest, and the difficulty of the subjects in the key training module is in the middle;
and combining the three training modules to generate the initial training scheme.
In an implementation manner of the training content generation method, the basic training module includes a question of basic knowledge and a corresponding answer, the key training module includes a question of key knowledge and a corresponding answer, and the enhanced training module includes a question of an enhanced knowledge point and a corresponding answer.
In one embodiment of the training content generating method, the topics in the three training modules are topics related to the knowledge points of interest to the user, and the topic types of the topics in the three training modules are the same as or similar to the topic types of the knowledge points of interest to the user.
In one embodiment of the training content generating method, the number of subjects in the initial training program, the base training module, the key training module, and the reinforcement training module may be in a ratio of 4:2: 1.
In an embodiment of the training content generating method, the step S102 may specifically include:
receiving a question answer input by a user, judging whether the answer is correct or not, and counting the error rate of the user.
In an embodiment of the training content generating method, the step S102 may further include displaying the answer to the topic upon receiving an instruction from the user to view the answer to the topic.
In one embodiment of the training content generating method, in step S103, the topics in the target training program include topics with the error rate higher than a threshold.
In one embodiment of the training content generating method, in the step S102 and the step S103, the error rate is the number of people with errors/the total number of people sending feedback.
In one embodiment of the training content generating method, in step S103, the threshold may be set to 10%.
In an embodiment of the training content generating method, the step S103 may further include:
calling corresponding questions and answers according to knowledge points corresponding to the questions with the error rate higher than a threshold value, generating a target training scheme, and displaying the questions in the target training scheme; and displaying the answer corresponding to the displayed question when receiving an instruction of the user to check the answer.
In a second aspect, the present application further provides an embodiment of an apparatus to generate training content, the apparatus comprising: a display module and a processing module, wherein,
the processing module is used for pushing an initial training scheme to a plurality of users through the display module based on a target theme;
the processing module is further used for receiving feedback of the users on the questions in the initial training scheme and counting the error rate of the users for solving the questions in the initial training scheme according to the feedback; calling corresponding questions according to the knowledge points corresponding to the questions with the error rate higher than the threshold value, and generating a target training scheme;
the display module is further used for displaying the topics in the target training program.
In one embodiment of the apparatus for generating training content,
the processing module is further used for pushing a plurality of knowledge points to the user through the homepage of the display module, and determining the knowledge points concerned by the user according to the browsing result of the user, wherein the knowledge points comprise titles and corresponding answers;
the processing module is further used for calling corresponding questions according to the knowledge points concerned by the users, generating an initial training scheme and sending the initial training scheme to a plurality of users concerned about the knowledge points.
In one embodiment of the apparatus for generating training content, the display module may be a display.
In one embodiment of the apparatus for generating training content, the processing module is further configured to count the error topic of a first user of the plurality of users according to the feedback of the first user; calling a corresponding question according to a knowledge point corresponding to the question which the first user makes mistakes, combining the corresponding question with the question in the target training scheme, and updating the target training scheme; the display module is further used for displaying the topics in the target training program.
In one embodiment of the apparatus for generating training content, the processing module is further configured to send a topic in the initial training program to a first user who focuses on the knowledge point, receive feedback of the first user on the topic in the initial training program, and count an error topic of the first user; calling a corresponding question according to a knowledge point corresponding to the question which the first user makes mistakes, combining the corresponding question with the question in the target training scheme, and updating the target training scheme; the display module is further configured to display a topic in the target training program, wherein the first user is not included in the plurality of users.
In one embodiment of the apparatus for generating training content, the display module is further configured to, when a topic in the target training program is displayed, display an answer corresponding to the displayed topic when receiving an instruction for a user to view the answer.
In one embodiment of the apparatus for generating training content, the processing module is further configured to;
and calling the plurality of knowledge points related to the training theme according to the training theme selected by the user.
In an embodiment of the apparatus for generating training content, pushing a plurality of knowledge points to a user at a homepage, and determining a knowledge point concerned by the user according to a browsing result of the user specifically includes:
and pushing a plurality of knowledge points to a first group of users on the homepage, sending the association relation between the users and the knowledge points to the background after the users browse one knowledge point, recording the association relation, and determining the knowledge points concerned by the first group of users according to the association relation.
In an implementation manner of the apparatus for generating training content, invoking a corresponding topic according to a knowledge point concerned by a user, generating an initial training plan, and sending the initial training plan to a plurality of users concerned with the knowledge point, specifically including:
determining a second group of users and a first group of knowledge points concerned by the second group of users according to the association relationship, wherein the first group of knowledge points are associated knowledge points, the second group of users are the same as the first group of users, or the second group of users are a subset of the first group of users;
and calling corresponding questions according to the first group of knowledge points concerned by the second group of users, generating an initial training scheme, and sending the initial training scheme to the second group of users concerned with the first group of knowledge points.
In an implementation manner of the apparatus for generating training content, retrieving a corresponding topic according to a knowledge point concerned by a user, and generating an initial training program specifically includes:
calling questions which are related to the knowledge points concerned by the user and have the same or similar question types as or similar to the questions in the knowledge points concerned by the user from a question database, and inputting the questions into three training modules according to the difficulty degrees of the questions, wherein the three training modules are respectively as follows: the training system comprises a basic training module, a key training module and an enhanced training module, wherein the difficulty of the subjects in the basic training module is lowest, the difficulty of the subjects in the enhanced training module is highest, the difficulty of the subjects in the key training module is centered, and the three training modules are combined to generate the initial training scheme.
In an embodiment of the apparatus for generating training content, receiving feedback of the plurality of users on the topics in the initial training program, and counting an error rate of users answering the topics in the initial training program according to the feedback specifically includes:
receiving a question answer input by a user, judging whether the answer is correct or not, and counting the error rate of the user.
In one embodiment of the apparatus for generating training content, the topics in the target training program include topics with the error rate above a threshold.
In one embodiment of the apparatus for generating training content, the error rate is the number of people who have errors/the total number of people who sent feedback.
In a third aspect, the present application further provides a computer storage medium, in which computer instructions are stored, and when the computer instructions are executed on an electronic device, the instructions are configured to cause the electronic device to perform relevant steps in the embodiment of the training content generation method in the first aspect.
In a fourth aspect, the present application further provides an electronic device, which may be specifically a chip or other integrated circuit, and which may include a processor and a memory connected to each other; the memory is used for storing computer-executable instructions, and when the device runs, the processor may execute the computer-executable instructions stored in the memory, so as to enable the device to execute the steps in the training content generation method embodiment in the first aspect.
Drawings
Fig. 1 is a schematic flowchart of an embodiment of a training content generation method according to the present application;
FIG. 2 is a schematic flowchart of another embodiment of a training content generation method according to the present application;
FIG. 3 is a schematic flow chart diagram illustrating a method for generating training content according to yet another embodiment of the present application;
FIG. 4 is a schematic flowchart of a training content generation method according to another embodiment of the present application; and
fig. 5 is a schematic structural diagram of an embodiment of an apparatus for generating training content according to the present application.
Detailed Description
The present application will now be described in detail with reference to the drawings attached hereto.
Some terms in the present application are first explained to facilitate understanding by those skilled in the art.
(1) Training content generation method
As shown in fig. 1, the present application provides an embodiment of a training content generation method, the method comprising:
s101, pushing an initial training scheme to a plurality of users based on a target theme;
s102, receiving feedback of the users to the questions in the initial training scheme, and counting the error rate of the users for solving the questions in the initial training scheme according to the feedback;
s103, calling corresponding topics according to the knowledge points corresponding to the topics with the error rate higher than the threshold value, generating a target training scheme, and displaying the topics in the target training scheme.
In the embodiment of the application, the weak knowledge points of each person can be trained by counting the feedback of the answer training content of the user, so that the user can obtain targeted reinforced training, and through the training, the knowledge points obtained by the trainee can be more comprehensive and profound, thereby achieving a better training effect. As shown in fig. 2, in an embodiment of the training content generating method, the step S101 specifically includes:
s1011, pushing a plurality of knowledge points to a user on a homepage, and determining the knowledge points concerned by the user according to the browsing result of the user, wherein the knowledge points comprise titles and corresponding answers;
and S1012, calling corresponding questions according to the knowledge points concerned by the users, generating an initial training scheme, and sending the initial training scheme to a plurality of users concerned about the knowledge points.
In one embodiment of the training content generating method, the method further includes the step of updating the target training program, and the target training program is updated in two ways:
the first method comprises the following steps:
as shown in fig. 2, the step S102 further includes:
counting error topics of a first user according to feedback of the first user in the plurality of users;
the method further comprises the following steps:
s104, calling corresponding questions according to knowledge points corresponding to the questions mistaken by the first user, combining the corresponding questions with the questions in the target training scheme, updating the target training scheme, and displaying the questions in the target training scheme.
And the second method comprises the following steps:
as shown in fig. 3, the training content generation method further includes:
s105, sending the questions in the initial training scheme to a first user who concerns the knowledge points, receiving feedback of the first user on the questions in the initial training scheme, and counting error questions of the first user;
s106, calling corresponding questions according to knowledge points corresponding to the questions mistaken by the first user, combining the corresponding questions with the questions in the target training scheme, updating the target training scheme, and displaying the questions in the target training scheme.
The first user is not included in the plurality of users mentioned in steps S1012 and S102.
In an embodiment of the training content generating method, the step S104 may specifically include: and calling corresponding questions and answers according to knowledge points corresponding to the questions which are wrong by the first user, combining the questions and the answers with the questions in the target training scheme, updating the target training scheme, displaying the questions in the target training scheme, and displaying the answers corresponding to the displayed questions when receiving an instruction of the user to check the answers.
In an embodiment of the training content generating method, the step S106 may specifically include:
and calling corresponding questions and answers according to knowledge points corresponding to the questions which are wrong by the first user, combining the questions and the answers with the questions and the answers in the target training scheme to generate the target training scheme, displaying the questions in the target training scheme, and displaying the answers corresponding to the displayed questions when receiving an instruction of the user to check the answers.
In one embodiment of the training content generating method, the training program may be embodied as a training question bank, the initial training program may be an initial training question bank, the target training program may be a universal training question bank, and the target training program may be the target training question bank.
As shown in fig. 4, in an embodiment of the training content generating method, the step S101 may specifically include;
s100, calling the plurality of knowledge points related to a training theme according to the training theme selected by a user;
in an embodiment of the training content generating method, the step S1011 specifically includes:
and pushing a plurality of knowledge points to a first group of users on the homepage, sending the association relation between the users and the knowledge points to the background after the users browse one knowledge point, recording the association relation, and determining the knowledge points concerned by the first group of users according to the association relation.
The step S1012 specifically includes:
determining a second group of users and a first group of knowledge points concerned by the second group of users according to the association relationship, wherein the first group of knowledge points are associated knowledge points, the second group of users are the same as the first group of users, or the second group of users are a subset of the first group of users;
and calling corresponding questions according to the first group of knowledge points concerned by the second group of users, generating an initial training scheme, and sending the initial training scheme to the second group of users concerned with the first group of knowledge points.
In the embodiment of the training content generation method, after a user logs in for training, the user determines the preference of the user, namely selects a training subject interested by the user, and a system homepage pushes related knowledge points to the user; and sending the associated data of the user and the knowledge point to a background after the user browses one knowledge point, storing the associated data in a warehouse, and recording the knowledge point concerned by the user. Wherein, the content included in the knowledge point is the title and the corresponding answer. The user can learn and know the answering process of the questions by browsing the knowledge points.
In an embodiment of the training content generating method, in step S1012, invoking a corresponding topic according to a knowledge point concerned by a user, and generating an initial training plan specifically includes:
calling questions which are related to the knowledge points concerned by the user and have the same or similar question types as or similar to the questions in the knowledge points concerned by the user from a question database, and inputting the questions into three training modules according to the difficulty degrees of the questions, wherein the three training modules are respectively as follows: the system comprises a basic training module, a key training module and an enhanced training module, wherein the difficulty of the subjects in the basic training module is the lowest, the difficulty of the subjects in the enhanced training module is the highest, and the difficulty of the subjects in the key training module is in the middle.
And combining the three training modules to generate the initial training content.
In an embodiment of the training content generating method, the initial training program includes three training modules, which are: the system comprises a basic training module, a key training module and an enhanced training module, wherein the basic training module comprises questions of basic knowledge and corresponding answers, the key training module comprises the questions of key knowledge and corresponding answers, and the enhanced training module comprises the questions of enhanced knowledge points and corresponding answers.
The topics in the three training modules are topics related to the knowledge points of interest to the user, and the topic types of the topics in the three training modules are the same as or similar to the topic types of the knowledge points of interest to the user.
In the initial training program, the ratio of the number of topics in the base training module, the accent training module, and the reinforcement training module may be 4:2: 1.
In the embodiment of the application, the questions related to the knowledge points can be input into the question database in advance, and the level of the difficulty level is set, so that the difficulty level of the questions can be conveniently determined when the questions are called from the question database in the following process.
In an embodiment of the training content generating method, the step S102 may specifically include:
receiving a question answer input by a user, judging whether the answer is correct or not, and counting the error rate of the user.
In an embodiment of the training content generating method, the step S102 may further include displaying the answer to the topic upon receiving an instruction from the user to view the answer to the topic.
In an embodiment of the training content generating method, if the step S102 is implemented by using a topic table, the following method may be specifically adopted:
each topic has a corresponding number and is stored in a topic table, the topic table corresponds to a topic _ score option table, the topic _ score table contains an is _ true field, the is _ true is 0 which indicates that the user outputs an incorrect answer, the is _ true is 1 which indicates that the user inputs a correct answer, for example, the user A makes 100 topics, and the corresponding wrongly made topic number ID and the answer number ID are stored in a topic _ error table, and the topic is added once every time the topic is wrongly made, so that the error rate is obtained. Of course, other software tools may be used, just to name a few.
In an embodiment of the training content generating method, in step S103, the topics in the target training program include topics with the error rate higher than a threshold.
In an embodiment of the training content generating method, in the step S102 and the step S103, the error rate is the number of people with errors/the total number of people sending feedback.
In an embodiment of the training content generating method, in the step S103, the threshold may be set to 10%.
In an embodiment of the training content generating method, the step S103 may further include:
calling corresponding questions and answers according to knowledge points corresponding to the questions with the error rate higher than a threshold value, generating a target training scheme, and displaying the questions in the target training scheme; and displaying the answer corresponding to the displayed question when receiving an instruction of the user to check the answer.
(2) Device for generating training content
As shown in fig. 5, in correspondence with the aforementioned training content generation method, the present application also provides an embodiment of an apparatus for generating training content, the apparatus including: a display module 101 and a processing module 102,
the processing module 102 is configured to push an initial training program to a plurality of users through the display module 101 based on a target topic;
the processing module 102 is further configured to receive feedback of the plurality of users on the topics in the initial training program, and count an error rate of users for solving the topics in the initial training program according to the feedback; calling corresponding questions according to the knowledge points corresponding to the questions with the error rate higher than the threshold value, and generating a target training scheme;
the display module 101 is further configured to display the topics in the target training program.
In an embodiment of the apparatus for generating training content, the processing module 102 is further configured to push a plurality of knowledge points to the user through a homepage of the display module 101, and determine, according to a browsing result of the user, a knowledge point concerned by the user, where the knowledge point includes a topic and a corresponding answer;
the processing module 102 is further configured to invoke a corresponding topic according to a knowledge point concerned by a user, generate an initial training scheme, and send the initial training scheme to a plurality of users concerned with the training topic.
In the embodiment of the application, the feedback of the user to the training scheme is counted, the weak knowledge points of each person can be trained, the user can be trained according to the corresponding strengthened training of the weak knowledge points, the knowledge points of the trainees are more comprehensive and profound, and a better training effect is achieved.
In one embodiment of the apparatus for generating training content, the display module 101 may be a display.
In one embodiment of the apparatus for generating training content, the processing module 102 is further configured to update the target training program by two methods:
the first method comprises the following steps:
counting error topics of a first user according to feedback of the first user in the plurality of users; calling a corresponding question according to a knowledge point corresponding to the question which the first user makes mistakes, combining the corresponding question with the question in the target training scheme, and updating the target training scheme; the display module 101 is further configured to display the topics in the target training program.
And the second method comprises the following steps:
sending the question in the initial training scheme to a first user concerning the knowledge point, receiving feedback of the first user on the question in the initial training scheme, and counting the error question of the first user; calling a corresponding question according to a knowledge point corresponding to the question which the first user makes mistakes, combining the corresponding question with the question in the target training scheme, and updating the target training scheme; the display module 101 is further configured to display the topics in the target training program.
Wherein the first user is not included within the plurality of users.
In an embodiment of the apparatus for generating training content, the display module 101 is further configured to, when a topic in the target training program is displayed, display an answer corresponding to the displayed topic if an instruction for a user to view the answer is received.
In an embodiment of the apparatus for generating training content, the processing module 102 is further configured to;
and calling the plurality of knowledge points related to the training theme according to the training theme selected by the user.
Pushing a plurality of knowledge points to a user on a homepage, and determining the knowledge points concerned by the user according to a browsing result of the user, wherein the method specifically comprises the following steps:
and pushing a plurality of knowledge points to a first group of users on the homepage, sending the association relation between the users and the knowledge points to the background after the users browse one knowledge point, recording the association relation, and determining the knowledge points concerned by the first group of users according to the association relation.
In an embodiment of the apparatus for generating training content, calling a corresponding question according to a knowledge point concerned by a user, generating an initial training plan, and sending the initial training plan to a plurality of users concerned with the knowledge point, specifically including:
determining a second group of users and a first group of knowledge points concerned by the second group of users according to the association relationship, wherein the first group of knowledge points are associated knowledge points, the second group of users are the same as the first group of users, or the second group of users are a subset of the first group of users;
and calling corresponding questions according to the first group of knowledge points concerned by the second group of users, generating an initial training scheme, and sending the initial training scheme to the second group of users concerned with the first group of knowledge points.
In an embodiment of the apparatus for generating training content, invoking a corresponding topic according to a knowledge point focused by a user, and generating an initial training plan specifically includes:
calling questions which are related to the knowledge points concerned by the user and have the same or similar question types as or similar to the questions in the knowledge points concerned by the user from a question database, and inputting the questions into three training modules according to the difficulty degrees of the questions, wherein the three training modules are respectively as follows: the training system comprises a basic training module, a key training module and an enhanced training module, wherein the difficulty of the subjects in the basic training module is lowest, the difficulty of the subjects in the enhanced training module is highest, the difficulty of the subjects in the key training module is centered, and the three training modules are combined to generate the initial training scheme.
In an embodiment of the apparatus for generating training content, receiving feedback of the plurality of users on the topics in the initial training program, and counting an error rate of users solving the topics in the initial training program according to the feedback specifically includes:
receiving a question answer input by a user, judging whether the answer is correct or not, and counting the error rate of the user.
In an embodiment of the apparatus for generating training content, the topics in the target training program include topics with the error rate higher than a threshold.
In an embodiment of the apparatus for generating training content, the error rate is the number of people who have errors/the total number of people who send feedback.
In an embodiment of the apparatus for generating training content, the threshold may be set to 10%.
The embodiment of the training content generation method and device provided by the Application can be applied to a training system in a network app (Application, translation to Application software) or a training system at a Web (webpage) end.
To facilitate understanding of the embodiments of the present application, a specific example is described below:
the training content generation method is applied to a software training system, and the system automatically defines a label for a student according to the specialty of interest of the student selected by the student.
Software development: JAVA, PHP,. NET, C + +, JS..;
and (3) testing software: black box testing, white box testing, automatic testing, interface testing and safety testing;
developing java according to the specialty selected by the student 1, and then defining an image, namely developing java, for the student 1 by the system; the pushed training questions are the questions of the relevant knowledge points such as java foundation, servlet, spring, springboot and the like; the training system takes 4/7 simple questions in a java training question bank A on the basis of corresponding difficulty degree labels defined by corresponding questions, such as the definition of a java basic question total 200 as a basis; servlet is defined as a key point, and the key topic in the java training topic library A accounts for 2/7; spring and springboot are defined as reinforcement, and the proportion of reinforcement questions in the java training question bank A is 1/7;
specific topics are exemplified as follows: :
1 compilation running the following program, the display of the output results is correct ()
Figure BDA0002709791210000201
A. Compile pass, runtime printout
B. Run printout 23 by compiling
C. Compilation cannot define a variable as such without errors at// -1
D. Compilation does not pass errors at// -2 because c must define int types
The following statements about interfaces are correct: ()
Interface may have a private method
There may be final method in interface
Interface can be realized with function
Interface can inherit other interfaces
And calling the corresponding questions according to the error rate of the trainees when solving the questions in the training question bank A and the knowledge points corresponding to the questions with the error rate higher than 15%, and generating a training question bank B.
And recording according to the question which is wrongly made by the student 1 when making the question in the question bank A, calling the corresponding question according to the knowledge point corresponding to the question which is wrongly made by the student A, and combining the corresponding question with the question in the training question bank B to generate a target training question bank of the student 1.
The "plurality" in the embodiments of the present application means two or more if not specifically stated. The meaning of the word "and/or" as used in the examples of this application can be understood as follows, for example: "a and/or b" means any of three conditions, which are, in each case, a alone, b alone, or a and b.
Embodiments of the present application also provide a computer storage medium, in which computer instructions are stored, and when the computer instructions are run on an electronic device, the instructions are used to cause the electronic device to execute the relevant steps in the above method embodiments.
Embodiments of the present application further provide a computer program product, which when run on a computer, causes the computer to execute the relevant steps described above, so as to implement the relevant steps in the above method embodiments.
Embodiments of the present application also provide an electronic device, which may be embodied as a chip or other integrated circuit, and which may include a processor and a memory coupled together; wherein the memory is used for storing computer executable instructions, and when the device runs, the processor can execute the computer executable instructions stored in the memory, so as to make the device execute the steps in the above method embodiments.
The present application also provides a circuit comprising a plurality of interconnected electronic devices, which circuit is powered on for performing the steps of the above-described method embodiments. The circuit may be disposed on a circuit board.
The computer storage medium, the computer program product, the electronic device or the circuit provided in the embodiments of the present application are all used for executing the steps in the method embodiments, and the beneficial effects achieved by the method can refer to the beneficial effects in the corresponding method embodiments provided above, and are not described herein again.
Although the subject matter of the present application has been described in language specific to structural features/functional/methodological acts, the specific structural features/functional/methodological acts are merely examples of the claimed subject matter and are not intended to limit the scope of the present application, as any person skilled in the art can readily devise many variations or alterations within the scope of the present disclosure.

Claims (10)

1. A training content generation method, comprising:
pushing an initial training scheme to a plurality of users based on a target topic;
receiving feedback of the plurality of users on the questions in the initial training scheme, and counting the error rate of solving the questions in the initial training scheme by the users according to the feedback;
and calling the corresponding question according to the knowledge point corresponding to the question with the error rate higher than the threshold value, generating a target training scheme, and displaying the question in the target training scheme.
2. The training content generation method of claim 1, wherein pushing an initial training program to a plurality of users based on a target topic comprises: pushing a plurality of knowledge points to a user on a homepage, and determining the knowledge points concerned by the user according to a browsing result of the user; and calling corresponding questions according to the knowledge points concerned by the users, generating an initial training scheme, and sending the initial training scheme to a plurality of users concerned about the knowledge points.
3. The training content generation method of claim 1, wherein the method further comprises:
counting error topics of a first user according to feedback of the first user in the plurality of users;
and calling a corresponding question according to a knowledge point corresponding to the question which the first user makes mistakes, combining the corresponding question with the question in the target training scheme, updating the target training scheme, and displaying the question in the target training scheme.
4. The training content generating method according to claim 2, wherein pushing a plurality of knowledge points to the user on a homepage, and determining a knowledge point focused by the user according to a browsing result of the user specifically comprises:
and pushing a plurality of knowledge points to a first group of users on the homepage, sending the association relation between the users and the knowledge points to the background after the users browse one knowledge point, recording the association relation, and determining the knowledge points concerned by the first group of users according to the association relation.
5. The training content generating method according to claim 2, wherein the step of calling a corresponding question according to a knowledge point concerned by a user to generate an initial training plan specifically includes:
calling questions which are related to the knowledge points concerned by the user and have the same or similar question types as or similar to the questions in the knowledge points concerned by the user from a question database, and inputting the questions into three training modules according to the difficulty degrees of the questions, wherein the three training modules are respectively as follows: the system comprises a basic training module, a key training module and an enhanced training module, wherein the difficulty of the subjects in the basic training module is the lowest, the difficulty of the subjects in the enhanced training module is the highest, and the difficulty of the subjects in the key training module is in the middle;
and combining the three training modules to generate the initial training scheme.
6. The training content generation method of claim 1, wherein the error rate is the number of people who have errors/the total number of people who sent the feedback.
7. An apparatus for generating training content, the apparatus comprising: a display module and a processing module, wherein,
the processing module is used for pushing an initial training scheme to a plurality of users through the display module based on a target theme;
the processing module is further used for receiving feedback of the users on the questions in the initial training scheme and counting the error rate of the users for solving the questions in the initial training scheme according to the feedback; calling corresponding questions according to the knowledge points corresponding to the questions with the error rate higher than the threshold value, and generating a target training scheme;
the display module is further used for displaying the topics in the target training program.
8. The apparatus for generating training content according to claim 7,
the processing module is further used for pushing a plurality of knowledge points to the user through the homepage of the display module, and determining the knowledge points concerned by the user according to the browsing result of the user, wherein the knowledge points comprise titles and corresponding answers;
the processing module is further used for calling corresponding questions according to the knowledge points concerned by the users, generating an initial training scheme and sending the initial training scheme to a plurality of users concerned about the knowledge points.
9. An electronic device, comprising a processor and a memory coupled together; wherein the memory is configured to store computer-executable instructions that when executed by the processor cause the apparatus to perform the method of generating training content as claimed in any one of claims 1 to 6.
10. A computer-readable storage medium having stored thereon computer instructions for causing an electronic device to perform the training content generating method as claimed in any one of claims 1 to 6 when the computer instructions are run on the electronic device.
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Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1635486A (en) * 2003-12-25 2005-07-06 英业达股份有限公司 Accelerated learning system and method capable of improving performance
CN101625799A (en) * 2008-07-07 2010-01-13 梁昌年 Interface for individual study
CN105117460A (en) * 2015-08-21 2015-12-02 湖南亿谷科技发展股份有限公司 Learning resource recommendation method and system
CN106202453A (en) * 2016-07-13 2016-12-07 网易(杭州)网络有限公司 A kind of multimedia resource recommends method and apparatus
CN106898173A (en) * 2016-11-14 2017-06-27 上海仪电鑫森科技发展有限公司 The online review system in real time of students' work
CN107766484A (en) * 2017-10-16 2018-03-06 南京师范大学 The knowledge chain that a kind of learning objective is oriented to recommends method
CN108920568A (en) * 2018-06-21 2018-11-30 广东小天才科技有限公司 Searching method based on electronic equipment and electronic equipment
CN109977312A (en) * 2019-03-27 2019-07-05 安庆师范大学 A kind of knowledge base recommender system based on content tab
CN110085075A (en) * 2019-05-23 2019-08-02 宜春宜联科技有限公司 Study condition management method, device and system
CN110110070A (en) * 2019-04-15 2019-08-09 深圳职业技术学院 Topic method for pushing, device, server and storage medium
CN110399558A (en) * 2019-07-26 2019-11-01 江苏曲速教育科技有限公司 A test item recommendation method and system
CN111353915A (en) * 2020-04-02 2020-06-30 广州高航科技成果转化有限公司 Intellectual property service system based on cloud platform

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1635486A (en) * 2003-12-25 2005-07-06 英业达股份有限公司 Accelerated learning system and method capable of improving performance
CN101625799A (en) * 2008-07-07 2010-01-13 梁昌年 Interface for individual study
CN105117460A (en) * 2015-08-21 2015-12-02 湖南亿谷科技发展股份有限公司 Learning resource recommendation method and system
CN106202453A (en) * 2016-07-13 2016-12-07 网易(杭州)网络有限公司 A kind of multimedia resource recommends method and apparatus
CN106898173A (en) * 2016-11-14 2017-06-27 上海仪电鑫森科技发展有限公司 The online review system in real time of students' work
CN107766484A (en) * 2017-10-16 2018-03-06 南京师范大学 The knowledge chain that a kind of learning objective is oriented to recommends method
CN108920568A (en) * 2018-06-21 2018-11-30 广东小天才科技有限公司 Searching method based on electronic equipment and electronic equipment
CN109977312A (en) * 2019-03-27 2019-07-05 安庆师范大学 A kind of knowledge base recommender system based on content tab
CN110110070A (en) * 2019-04-15 2019-08-09 深圳职业技术学院 Topic method for pushing, device, server and storage medium
CN110085075A (en) * 2019-05-23 2019-08-02 宜春宜联科技有限公司 Study condition management method, device and system
CN110399558A (en) * 2019-07-26 2019-11-01 江苏曲速教育科技有限公司 A test item recommendation method and system
CN111353915A (en) * 2020-04-02 2020-06-30 广州高航科技成果转化有限公司 Intellectual property service system based on cloud platform

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