CN113051300A - Online learning method and device based on learning partner matching - Google Patents

Online learning method and device based on learning partner matching Download PDF

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Publication number
CN113051300A
CN113051300A CN202110250112.2A CN202110250112A CN113051300A CN 113051300 A CN113051300 A CN 113051300A CN 202110250112 A CN202110250112 A CN 202110250112A CN 113051300 A CN113051300 A CN 113051300A
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learning
user
current
partner
same
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卢启伟
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Shenzhen Eaglesoul Technology Co Ltd
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Shenzhen Eaglesoul Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2455Query execution
    • G06F16/24564Applying rules; Deductive queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/01Social networking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance
    • 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

Abstract

The disclosure relates to an online learning method and device based on learning partner matching, an electronic device and a storage medium. Wherein, the method comprises the following steps: matching learning partners for the current learning user based on a preset learning partner matching rule aiming at the same question of the same learning task; after the learning partner matching is completed, answering the questions; after the response is finished, judging the response result of the learning partner by the current learning user, and uploading the response result to a teaching server; and scoring the answer result of the current learning user and the answer result of the learning partner based on the standard answer of the question, and taking the scoring result as the final evaluation score of the current learning user on the question. The online education method based on the learning partner real-time matching realizes online education of playing motivation and edutainment in synchronous learning through the learning process based on the learning partner real-time matching, and greatly improves the learning enthusiasm and online teaching effect of the user.

Description

Online learning method and device based on learning partner matching
Technical Field
The present disclosure relates to the field of internet education, and in particular, to an online learning method and apparatus based on learning partner matching, an electronic device, and a computer-readable storage medium.
Background
The online education is a method for carrying out content propagation and fast learning by applying information technology and internet technology, and through a network, students and teachers can carry out teaching activities even if the students and teachers are separated by ten thousand miles; in addition, by means of the network courseware, the students can learn at any time and any place, the limitation of time and space is broken really, and the network remote education is the most convenient learning mode for employees who work busy and have unfixed learning time.
The teaching effect of online education can be enhanced through a learning partner matching mode, the learning partner matching mode in the prior art is mostly based on address list or acquaintance matching, the matching mode aims at the same learning task, and the learning enthusiasm of a user cannot be stimulated through the matching mode. Meanwhile, in the prior art, online learning communication based on a learning partner matching mode is mainly aimed at social contact, and PK in a real-time learning process of a user cannot be realized, so that the effect of playing and promoting learning is realized.
Accordingly, there is a need for one or more methods to address the above-mentioned problems.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
An object of the present disclosure is to provide an online learning method, apparatus, electronic device and computer-readable storage medium based on learning partner matching, thereby overcoming, at least to some extent, one or more problems due to limitations and disadvantages of the related art.
According to one aspect of the present disclosure, there is provided an online learning method based on learning partner matching, including:
aiming at the same subject of the same learning task, searching a learning partner matched with the current learning user from all users who execute the same learning task and agree with the subject based on a preset learning partner matching rule, and matching the current learning user with the learning partner;
after the matching of the learning partners is completed, establishing data connection of the current learning user and the learning partners aiming at the same question of the same learning task, so that the current learning user and the learning partners answer the same question of the same learning task at the same time;
judging the answer result of the learning partner by the current learning user after the current learning user and the learning partner answer the same question of the same learning task and feed back the answer result or after the answer time of the current learning user and the learning partner to the same question of the same learning task is longer than the preset time, and uploading the answer result of the current learning user and the answer result of the learning partner to a teaching service end;
and scoring the answer result of the current learning user and the answer result of the learning partner based on the standard answer of the question, and taking the scoring result as the final evaluation score of the current learning user on the question.
In an exemplary embodiment of the present disclosure, the method further comprises:
aiming at the same question of the same learning task, a learning partner matched based on a preset learning partner matching rule can be a user who has completed the question, the learning partner stores the answering process and the answering result of the question, and when the matching is the learning partner of the current learning user and the question begins to answer, the answering process and the answering result of the question are called by the learning partner and are displayed according to the time/logic sequence.
In an exemplary embodiment of the present disclosure, the method further comprises:
aiming at the same question of the same learning task, the answering process and the answering result of the virtual learning partner for the question can be prerecorded, when the number of initial users or users is small, the virtual learning partner is matched with the learning partner of the current learning user, the answering process and the answering result of the virtual learning partner for the question are called, and the answering process and the answering result are displayed according to the time/logic sequence.
In an exemplary embodiment of the present disclosure, the method further comprises:
after the matching of learning partners is completed, establishing data connection of a current learning user and the learning partners aiming at the same question of the same learning task, so that when the current learning user and the learning partners answer the same question of the same learning task at the same time, the current learning user can select and synchronously check the answering process of the learning partners through setting; or
The answering process of the learning partner can be shielded, and only the answering result of the learning partner is displayed after the current learning user finishes answering the question; or
The answering process of the learning partner can be shielded, and the answering process and the answering result of the learning partner are displayed after the current learning user finishes answering the question; or
The answering process of the learning partner can be shielded step by step, the answering process of the answering step corresponding to the question by the learning partner is displayed after the current learning user finishes the preset answering step of the question, and all the answering processes and answering results of the learning partner are displayed after the current learning user finishes all the answering steps of the question.
In an exemplary embodiment of the present disclosure, the method further comprises:
after the matching of the learning partners is completed, establishing data connection between the current learning user and the learning partners aiming at the same question of the same learning task, so that when the current learning user and the learning partners answer the same question of the same learning task at the same time, the current learning user can view the answering process and answering results of the learning partners through setting and selecting split screens; or
The current learning user can view the response progress of the learning partner through setting and selecting split screens.
In an exemplary embodiment of the present disclosure, the method further comprises:
after the matching of learning partners is completed, establishing data connection of a current learning user and the learning partners aiming at the same question of the same learning task, so that when the current learning user and the learning partners answer the same question of the same learning task at the same time, if the current learning user modifies the answering process, the modification process and the modification content are recorded;
the modification process and the modification content can be used as a reference for obtaining the final evaluation score.
In an exemplary embodiment of the present disclosure, the method further comprises:
after matching of learning partners is completed, establishing data connection of a current learning user and the learning partners aiming at the same question of the same learning task, so that the current learning user and the learning partners start timing when answering the same question of the same learning task at the same time, and finish timing after the current user finishes answering the question, and the answering time of the current user for finishing the question is obtained;
the response time can be used as a reference for obtaining a final evaluation score.
In an exemplary embodiment of the present disclosure, the method further comprises:
after the current learning user and the learning partner complete the response to the same question of the same learning task, the current learning user can judge the response result of the learning partner, and the response process of the learning partner can be scored based on a preset scoring value standard.
In an exemplary embodiment of the present disclosure, the method further comprises:
the preset learning partner matching rule is that the learning partner matching is carried out based on the ranking factors of user specialty, grade, subject and historical score.
In an exemplary embodiment of the present disclosure, the method further comprises:
the preset learning partner matching rule is that users with similar historical score ranking are matched as learning partners; or
Matching users with more different historical score ranks as learning partners; or
A learning partner is specified by the current user.
In an exemplary embodiment of the present disclosure, scoring the answer result of the current learning user and the appraising result of the answer result of the learning partner based on the standard answer of the question, further includes:
the answer result of the current learning user is consistent with the standard answer, and a preset score is added to the final evaluation score of the current user;
and if the answer result of the current learning user is inconsistent with the standard answer, adding no preset score to the final evaluation score of the current user or subtracting a preset score from the final evaluation score of the current user.
In an exemplary embodiment of the present disclosure, scoring the answer result of the current learning user and the appraising result of the answer result of the learning partner based on the standard answer of the question, further includes:
the answer result of the learning partner is consistent with the standard answer, the appraising result of the current learning user on the answer result of the learning partner is consistent with the standard answer, and a preset score is added to the final evaluation score of the current user;
the answer result of the learning partner is consistent with the standard answer, the answer result of the current learning user to the learning partner is inconsistent with the standard answer, and a preset score is not added to the final evaluation score of the current user or subtracted from the final evaluation score of the current user;
the answer result of the learning partner is inconsistent with the standard answer, the answer result of the current learning user to the learning partner is identical with the standard answer, and a preset score is added to the final evaluation score of the current user;
and the answer result of the learning partner is inconsistent with the standard answer, the answer result of the current learning user to the learning partner is inconsistent with the standard answer, and a preset score is not added to the final evaluation score of the current user or is subtracted from the final evaluation score of the current user.
In an exemplary embodiment of the present disclosure, the method further comprises:
after the current learning user answers the question, recording the answering process and the answering result of the current learning user, and storing and recording the corresponding relation between the current learning user and the question;
and when the current user is matched as a learning partner of other learning users, calling the answering process and answering result of the current user to the question as the matching result of other learning users.
In an exemplary embodiment of the present disclosure, the method further comprises:
when the current user is matched with the learning partners of other learning users, if the answer result of the current user is consistent with the standard answer, the answer result of the current user is judged by the other learning users to be inconsistent with the standard answer, and a preset score is added to the final evaluation score of the current user.
In one aspect of the present disclosure, there is provided an online learning apparatus based on learning partner matching, including:
the learning partner matching module is used for searching a learning partner matched with the current learning user in all users who execute the same learning task and agree with the topic based on a preset learning partner matching rule aiming at the same topic of the same learning task, and matching the learning partner with the current learning user;
the question answering module is used for establishing data connection between the current learning user and the learning partner aiming at the same question of the same learning task after matching of the learning partners is completed, so that the current learning user and the learning partner answer the same question of the same learning task at the same time;
the examination module is used for examining the answer result of the learning partner by the current learning user after the current learning user and the learning partner answer the same question of the same learning task and feed back the answer result or after the answer time of the current learning user and the learning partner to the same question of the same learning task is longer than the preset time, and uploading the examination result of the answer result of the current learning user and the examination result of the learning partner to the teaching service terminal;
and the scoring module is used for scoring the answer result of the current learning user and the answer result of the learning partner based on the standard answer of the question, and taking the scoring result as the final evaluation score of the current learning user on the question.
In one aspect of the present disclosure, there is provided an electronic device including:
a processor; and
a memory having computer readable instructions stored thereon which, when executed by the processor, implement a method according to any of the above.
In an aspect of the disclosure, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, realizes the method according to any one of the above.
An online learning method based on learning partner matching in an exemplary embodiment of the present disclosure, wherein the method includes: aiming at the same subject of the same learning task, searching a learning partner matched with the current learning user from all users who execute the same learning task and agree with the subject based on a preset learning partner matching rule, and matching the current learning user with the learning partner; after the learning partner matching is completed, answering the questions; after the response is finished, judging the response result of the learning partner by the current learning user, and uploading the response result to a teaching server; and scoring the answer result of the current learning user and the answer result of the learning partner based on the standard answer of the question, and taking the scoring result as the final evaluation score of the current learning user on the question. The online education method based on the learning partner real-time matching realizes online education of playing motivation and edutainment in synchronous learning through the learning process based on the learning partner real-time matching, and greatly improves the learning enthusiasm and online teaching effect of the user.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The above and other features and advantages of the present disclosure will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.
FIG. 1 shows a flow diagram of a method of online learning based on learning partner matching according to an example embodiment of the present disclosure;
FIG. 2 is a diagram illustrating an application scenario of an online learning method based on learning partner matching according to an exemplary embodiment of the present disclosure;
FIG. 3 is a diagram illustrating an application scenario of an online learning method based on learning partner matching according to an exemplary embodiment of the present disclosure;
FIG. 4 shows a schematic block diagram of an online learning apparatus based on learning partner matching according to an example embodiment of the present disclosure;
FIG. 5 schematically illustrates a block diagram of an electronic device according to an exemplary embodiment of the present disclosure; and
fig. 6 schematically illustrates a schematic diagram of a computer-readable storage medium according to an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus, a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the embodiments of the disclosure can be practiced without one or more of the specific details, or with other methods, components, materials, devices, steps, and so forth. In other instances, well-known structures, methods, devices, implementations, materials, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in the form of software, or in one or more software-hardened modules, or in different networks and/or processor devices and/or microcontroller devices.
In the present exemplary embodiment, first, an online learning method based on learning partner matching is provided; referring to fig. 1, the online learning method based on learning partner matching may include the steps of:
step S110, aiming at the same subject of the same learning task, searching a learning partner matched with the current learning user from all users who agree to the subject of executing the same learning task based on a preset learning partner matching rule, and matching the learning partner with the current learning user;
step S120, after the matching of learning partners is completed, establishing data connection of a current learning user and the learning partners aiming at the same question of the same learning task, and enabling the current learning user and the learning partners to answer the same question of the same learning task at the same time;
step S130, judging answer results of the learning partner by the current learning user after the current learning user and the learning partner answer and feed back the same question of the same learning task or after the response time of the current learning user and the learning partner to the same question of the same learning task is longer than preset time, and uploading the judgment results of the response results of the current learning user and the response results of the learning partner to a teaching service end;
and step S140, scoring the answer result of the current learning user and the answer result of the learning partner based on the standard answer of the question, and taking the scoring result as the final evaluation score of the current learning user for the question.
An online learning method based on learning partner matching in an exemplary embodiment of the present disclosure, wherein the method includes: aiming at the same subject of the same learning task, searching a learning partner matched with the current learning user from all users who execute the same learning task and agree with the subject based on a preset learning partner matching rule, and matching the current learning user with the learning partner; after the learning partner matching is completed, answering the questions; after the response is finished, judging the response result of the learning partner by the current learning user, and uploading the response result to a teaching server; and scoring the answer result of the current learning user and the answer result of the learning partner based on the standard answer of the question, and taking the scoring result as the final evaluation score of the current learning user on the question. The online education method based on the learning partner real-time matching realizes online education of playing motivation and edutainment in synchronous learning through the learning process based on the learning partner real-time matching, and greatly improves the learning enthusiasm and online teaching effect of the user.
Next, the online learning method based on learning partner matching in the present exemplary embodiment will be further described.
In step S110, a learning partner matching the current learning user may be searched for the same topic of the same learning task from all users who agree to the topic of the same learning task based on a preset learning partner matching rule, so as to match the current learning user with the learning partner.
In the embodiment of the present example, as shown in fig. 2, the schematic diagram is an application scenario of an online learning method based on learning partner matching, and for a topic of a certain online learning task, a matching learning partner is searched for a current learning user based on a preset learning partner matching rule, so as to jointly complete the topic of the learning task.
In an embodiment of the present example, the method further comprises:
the preset learning partner matching rule is that the learning partner matching is carried out based on the ranking factors of user specialty, grade, subject and historical score.
In an embodiment of the present example, the method further comprises:
the preset learning partner matching rule is that users with similar historical score ranking are matched as learning partners; or
Matching users with more different historical score ranks as learning partners; or
A learning partner is specified by the current user.
In the embodiment of the example, matching users with similar historical score ranks as learning partners can stimulate learning enthusiasm of the users by completing time competition, comparing accuracy and the like, improve learning efficiency and enhance learning effect;
the users with more ranking differences of the historical scores are matched as the learning partners, so that the better students can find errors of other users more easily, indicate and correct the errors for other users, and achieve the purpose of review.
In an embodiment of the present example, the method further comprises:
aiming at the same question of the same learning task, a learning partner matched based on a preset learning partner matching rule can be a user who has completed the question, the learning partner stores the answering process and the answering result of the question, and when the matching is the learning partner of the current learning user and the question begins to answer, the answering process and the answering result of the question are called by the learning partner and are displayed according to the time/logic sequence.
In an embodiment of the present example, the method further comprises:
aiming at the same question of the same learning task, the answering process and the answering result of the virtual learning partner for the question can be prerecorded, when the number of initial users or users is small, the virtual learning partner is matched with the learning partner of the current learning user, the answering process and the answering result of the virtual learning partner for the question are called, and the answering process and the answering result are displayed according to the time/logic sequence.
In step S120, after the matching of the learning partners is completed, a data connection between the current learning user and the learning partner for the same question of the same learning task is established, so that the current learning user and the learning partner answer the same question of the same learning task at the same time.
In the embodiment of the present example, as shown in fig. 3, in order to establish a data connection between a current learning user and a learning partner for a same question of a same learning task after completing matching of the learning partners, so that the current learning user and the learning partner simultaneously respond to the same question of the same learning task, the answering interfaces of the current user and the learning partner are displayed on the same screen, so that the user can have a feeling of a competition game, the concentration degree of learning can be improved, and the learning interest can be promoted.
In an embodiment of the present example, the method further comprises:
after the matching of learning partners is completed, establishing data connection of a current learning user and the learning partners aiming at the same question of the same learning task, so that when the current learning user and the learning partners answer the same question of the same learning task at the same time, the current learning user can select and synchronously check the answering process of the learning partners through setting; or
The answering process of the learning partner can be shielded, and only the answering result of the learning partner is displayed after the current learning user finishes answering the question; or
The answering process of the learning partner can be shielded, and the answering process and the answering result of the learning partner are displayed after the current learning user finishes answering the question; or
The answering process of the learning partner can be shielded step by step, the answering process of the answering step corresponding to the question by the learning partner is displayed after the current learning user finishes the preset answering step of the question, and all the answering processes and answering results of the learning partner are displayed after the current learning user finishes all the answering steps of the question.
In an embodiment of the present example, the method further comprises:
after the matching of the learning partners is completed, establishing data connection between the current learning user and the learning partners aiming at the same question of the same learning task, so that when the current learning user and the learning partners answer the same question of the same learning task at the same time, the current learning user can view the answering process and answering results of the learning partners through setting and selecting split screens; or
The current learning user can view the response progress of the learning partner through setting and selecting split screens.
In an embodiment of the present example, the method further comprises:
after the matching of learning partners is completed, establishing data connection of a current learning user and the learning partners aiming at the same question of the same learning task, so that when the current learning user and the learning partners answer the same question of the same learning task at the same time, if the current learning user modifies the answering process, the modification process and the modification content are recorded;
the modification process and the modification content can be used as a reference for obtaining the final evaluation score.
In an embodiment of the present example, the method further comprises:
after matching of learning partners is completed, establishing data connection of a current learning user and the learning partners aiming at the same question of the same learning task, so that the current learning user and the learning partners start timing when answering the same question of the same learning task at the same time, and finish timing after the current user finishes answering the question, and the answering time of the current user for finishing the question is obtained;
the response time can be used as a reference for obtaining a final evaluation score.
In step S130, after the current learning user and the learning partner all complete the answering and feedback for the same question of the same learning task or after the time length of the current learning user and the learning partner answering for the same question of the same learning task is greater than the preset time length, the answer result of the learning partner is judged by the current learning user, and the answer result of the current learning user and the answer result of the learning partner are judged and uploaded to the teaching service terminal.
In the embodiment of the present example, by performing the appraising for the answer results of the learning partners, not only the process of re-learning for the current user but also a new answer idea can be learned from the answer process of the learning partners, thereby realizing the enhancement of online learning.
In an embodiment of the present example, the method further comprises:
after the current learning user and the learning partner complete the response to the same question of the same learning task, the current learning user can judge the response result of the learning partner, and the response process of the learning partner can be scored based on a preset scoring value standard.
In step S140, the answer result of the current learning user and the answer result of the learning partner may be scored based on the standard answer of the question, and the scoring result may be used as the final evaluation score of the current learning user on the question.
In the embodiment of the example, compared with the conventional direct answer score of the user, the final evaluation score can reflect the mastery degree of the user on the learning content, and can reflect the knowledge mastery level and the knowledge structure composition of the user objectively.
In an embodiment of the present example, scoring the answer result of the current learning user and the answer result of the learning partner based on the standard answer to the question, further includes:
the answer result of the current learning user is consistent with the standard answer, and a preset score is added to the final evaluation score of the current user;
and if the answer result of the current learning user is inconsistent with the standard answer, adding no preset score to the final evaluation score of the current user or subtracting a preset score from the final evaluation score of the current user.
In an embodiment of the present example, scoring the answer result of the current learning user and the answer result of the learning partner based on the standard answer to the question, further includes:
the answer result of the learning partner is consistent with the standard answer, the appraising result of the current learning user on the answer result of the learning partner is consistent with the standard answer, and a preset score is added to the final evaluation score of the current user;
the answer result of the learning partner is consistent with the standard answer, the answer result of the current learning user to the learning partner is inconsistent with the standard answer, and a preset score is not added to the final evaluation score of the current user or subtracted from the final evaluation score of the current user;
the answer result of the learning partner is inconsistent with the standard answer, the answer result of the current learning user to the learning partner is identical with the standard answer, and a preset score is added to the final evaluation score of the current user;
and the answer result of the learning partner is inconsistent with the standard answer, the answer result of the current learning user to the learning partner is inconsistent with the standard answer, and a preset score is not added to the final evaluation score of the current user or is subtracted from the final evaluation score of the current user.
In the embodiment of the present example, a mistake correcting step may be further provided, when the current user determines that the answer result of the learning partner is inconsistent with the standard answer, a mistake correction may be performed on the answer result of the learning partner, and if the mistake correction result is consistent with the standard answer, a preset score is added to the final evaluation score of the current user; alternatively, the first and second electrodes may be,
if the error correction result is not consistent with the standard answer, adding no preset score to the final evaluation score of the current user or subtracting a preset score from the final evaluation score of the current user; alternatively, the first and second electrodes may be,
after the current user checks the answer result of the learning partner, determining to correct the answer result of the current user, and if the corrected answer result of the current user is consistent with the standard answer, adding a preset score to the final evaluation score of the current user; alternatively, the first and second electrodes may be,
if the corrected answer result of the current user is inconsistent with the standard answer, a preset score is not added to the final evaluation score of the current user; alternatively, the first and second electrodes may be,
and if the initial answer result of the current user is consistent with the standard answer, and the corrected answer result of the current user is inconsistent with the standard answer, deducting a preset score for the final evaluation score of the current user.
In an embodiment of the present example, the method further comprises:
after the current learning user answers the question, recording the answering process and the answering result of the current learning user, and storing and recording the corresponding relation between the current learning user and the question;
and when the current user is matched as a learning partner of other learning users, calling the answering process and answering result of the current user to the question as the matching result of other learning users.
In an embodiment of the present example, the method further comprises:
when the current user is matched with the learning partners of other learning users, if the answer result of the current user is consistent with the standard answer, the answer result of the current user is judged by the other learning users to be inconsistent with the standard answer, and a preset score is added to the final evaluation score of the current user.
It should be noted that although the various steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that these steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
In addition, in the present exemplary embodiment, an online learning apparatus based on learning partner matching is also provided. Referring to fig. 4, the online learning apparatus 400 based on learning partner matching may include: a learning partner matching module 410, a topic response module 420, an appraisal module 430, and a scoring module 440. Wherein:
the learning partner matching module 410 is used for searching a learning partner matched with the current learning user in all users who execute the same learning task and agree with the topic based on a preset learning partner matching rule aiming at the same topic of the same learning task, and matching the learning partner with the current learning user;
the question answering module 420 is configured to establish data connection between a current learning user and a learning partner for a same question of a same learning task after matching of the learning partners is completed, so that the current learning user and the learning partner answer the same question of the same learning task at the same time;
the appraising module 430 is used for appraising the answer result of the learning partner by the current learning user after the current learning user and the learning partner answer and feed back the same question of the same learning task or after the answer time of the current learning user and the learning partner to the same question of the same learning task is longer than the preset time, and uploading the appraising result of the answer result of the current learning user and the answer result of the learning partner to the teaching service terminal;
and the scoring module 440 is configured to score the answer result of the current learning user and the answer result of the learning partner based on the standard answer of the question, and use the scoring result as the final evaluation score of the current learning user on the question.
The details of each learning partner matching-based online learning device module are described in detail in the corresponding learning partner matching-based online learning method, and therefore are not described herein again.
It should be noted that although several modules or units of the online learning apparatus 400 based on learning partner matching are mentioned in the above detailed description, such division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 500 according to such an embodiment of the invention is described below with reference to fig. 5. The electronic device 500 shown in fig. 5 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the electronic device 500 is embodied in the form of a general purpose computing device. The components of the electronic device 500 may include, but are not limited to: the at least one processing unit 510, the at least one memory unit 520, a bus 530 connecting various system components (including the memory unit 520 and the processing unit 510), and a display unit 540.
Wherein the storage unit stores program code that is executable by the processing unit 510 to cause the processing unit 510 to perform steps according to various exemplary embodiments of the present invention as described in the above section "exemplary methods" of the present specification. For example, the processing unit 510 may perform steps S110 to S140 as shown in fig. 1.
The memory unit 520 may include a readable medium in the form of a volatile memory unit, such as a random access memory unit (RAM)5201 and/or a cache memory unit 5202, and may further include a read only memory unit (ROM) 5203.
Storage unit 520 may also include a program/utility 5204 having a set (at least one) of program modules 5203, such program modules 5205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
Bus 550 may be any of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 500 may also communicate with one or more external devices 570 (e.g., keyboard, pointing device, Bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 500, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 500 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 550. Also, the electronic device 500 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 560. As shown, the network adapter 560 communicates with the other modules of the electronic device 500 over the bus 550. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 500, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above-mentioned "exemplary methods" section of the present description, when said program product is run on the terminal device.
Referring to fig. 6, a program product 600 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is to be limited only by the terms of the appended claims.

Claims (17)

1. An online learning method based on learning partner matching, the method comprising:
aiming at the same subject of the same learning task, searching a learning partner matched with the current learning user from all users who execute the same learning task and agree with the subject based on a preset learning partner matching rule, and matching the current learning user with the learning partner;
after the matching of the learning partners is completed, establishing data connection of the current learning user and the learning partners aiming at the same question of the same learning task, so that the current learning user and the learning partners answer the same question of the same learning task at the same time;
judging the answer result of the learning partner by the current learning user after the current learning user and the learning partner answer the same question of the same learning task and feed back the answer result or after the answer time of the current learning user and the learning partner to the same question of the same learning task is longer than the preset time, and uploading the answer result of the current learning user and the answer result of the learning partner to a teaching service end;
and scoring the answer result of the current learning user and the answer result of the learning partner based on the standard answer of the question, and taking the scoring result as the final evaluation score of the current learning user on the question.
2. The method of claim 1, wherein the method further comprises:
aiming at the same question of the same learning task, a learning partner matched based on a preset learning partner matching rule can be a user who has completed the question, the learning partner stores the answering process and the answering result of the question, and when the matching is the learning partner of the current learning user and the question begins to answer, the answering process and the answering result of the question are called by the learning partner and are displayed according to the time/logic sequence.
3. The method of claim 1, wherein the method further comprises:
aiming at the same question of the same learning task, the answering process and the answering result of the virtual learning partner for the question can be prerecorded, when the number of initial users or users is small, the virtual learning partner is matched with the learning partner of the current learning user, the answering process and the answering result of the virtual learning partner for the question are called, and the answering process and the answering result are displayed according to the time/logic sequence.
4. The method of claim 1, wherein the method further comprises:
after the matching of learning partners is completed, establishing data connection of a current learning user and the learning partners aiming at the same question of the same learning task, so that when the current learning user and the learning partners answer the same question of the same learning task at the same time, the current learning user can select and synchronously check the answering process of the learning partners through setting; or
The answering process of the learning partner can be shielded, and only the answering result of the learning partner is displayed after the current learning user finishes answering the question; or
The answering process of the learning partner can be shielded, and the answering process and the answering result of the learning partner are displayed after the current learning user finishes answering the question; or
The answering process of the learning partner can be shielded step by step, the answering process of the answering step corresponding to the question by the learning partner is displayed after the current learning user finishes the preset answering step of the question, and all the answering processes and answering results of the learning partner are displayed after the current learning user finishes all the answering steps of the question.
5. The method of claim 1, wherein the method further comprises:
after the matching of the learning partners is completed, establishing data connection between the current learning user and the learning partners aiming at the same question of the same learning task, so that when the current learning user and the learning partners answer the same question of the same learning task at the same time, the current learning user can view the answering process and answering results of the learning partners through setting and selecting split screens; or
The current learning user can view the response progress of the learning partner through setting and selecting split screens.
6. The method of claim 4 or 5, wherein the method further comprises:
after the matching of learning partners is completed, establishing data connection of a current learning user and the learning partners aiming at the same question of the same learning task, so that when the current learning user and the learning partners answer the same question of the same learning task at the same time, if the current learning user modifies the answering process, the modified process and the modified content are recorded;
the modification process and the modification content can be used as a reference for obtaining the final evaluation score.
7. The method of claim 1, wherein the method further comprises:
after matching of learning partners is completed, establishing data connection of a current learning user and the learning partners aiming at the same question of the same learning task, so that the current learning user and the learning partners start timing when answering the same question of the same learning task at the same time, and finish timing after the current user finishes answering the question, and the answering time of the current user for finishing the question is obtained;
the response time can be used as a reference for obtaining a final evaluation score.
8. The method of claim 1, wherein the method further comprises:
after the current learning user and the learning partner complete the response to the same question of the same learning task, the current learning user can judge the response result of the learning partner, and the response process of the learning partner can be scored based on a preset scoring value standard.
9. The method of claim 1, wherein the method further comprises:
the preset learning partner matching rule is that the learning partner matching is carried out based on the ranking factors of user specialty, grade, subject and historical score.
10. The method of claim 9, wherein the method further comprises:
the preset learning partner matching rule is that users with similar historical score ranking are matched as learning partners; or
Matching users with more different historical score ranks as learning partners; or
A learning partner is specified by the current user.
11. The method of claim 1, wherein a result of a response of a current learning user is scored with a result of an appraisal of a result of a response of the learning partner based on the standard answers to the questions, further comprising:
the answer result of the current learning user is consistent with the standard answer, and a preset score is added to the final evaluation score of the current user;
and if the answer result of the current learning user is inconsistent with the standard answer, adding no preset score to the final evaluation score of the current user or subtracting a preset score from the final evaluation score of the current user.
12. The method of claim 1, wherein a result of a response of a current learning user is scored with a result of an appraisal of a result of a response of the learning partner based on the standard answers to the questions, further comprising:
the answer result of the learning partner is consistent with the standard answer, the appraising result of the current learning user on the answer result of the learning partner is consistent with the standard answer, and a preset score is added to the final evaluation score of the current user;
the answer result of the learning partner is consistent with the standard answer, the answer result of the current learning user to the learning partner is inconsistent with the standard answer, and a preset score is not added to the final evaluation score of the current user or subtracted from the final evaluation score of the current user;
the answer result of the learning partner is inconsistent with the standard answer, the answer result of the current learning user to the learning partner is identical with the standard answer, and a preset score is added to the final evaluation score of the current user;
and the answer result of the learning partner is inconsistent with the standard answer, the answer result of the current learning user to the learning partner is inconsistent with the standard answer, and a preset score is not added to the final evaluation score of the current user or is subtracted from the final evaluation score of the current user.
13. The method of claim 1, wherein the method further comprises:
after the current learning user answers the question, recording the answering process and the answering result of the current learning user, and storing and recording the corresponding relation between the current learning user and the question;
and when the current user is matched as a learning partner of other learning users, calling the answering process and answering result of the current user to the question as the matching result of other learning users.
14. The method of claim 13, wherein the method further comprises:
when the current user is matched with the learning partners of other learning users, if the answer result of the current user is consistent with the standard answer, the answer result of the current user is judged by the other learning users to be inconsistent with the standard answer, and a preset score is added to the final evaluation score of the current user.
15. An online learning apparatus based on learning partner matching, the apparatus comprising:
the learning partner matching module is used for searching a learning partner matched with the current learning user in all users who execute the same learning task and agree with the topic based on a preset learning partner matching rule aiming at the same topic of the same learning task, and matching the learning partner with the current learning user;
the question answering module is used for establishing data connection between the current learning user and the learning partner aiming at the same question of the same learning task after matching of the learning partners is completed, so that the current learning user and the learning partner answer the same question of the same learning task at the same time;
the examination module is used for examining the answer result of the learning partner by the current learning user after the current learning user and the learning partner answer the same question of the same learning task and feed back the answer result or after the answer time of the current learning user and the learning partner to the same question of the same learning task is longer than the preset time, and uploading the examination result of the answer result of the current learning user and the examination result of the learning partner to the teaching service terminal;
and the scoring module is used for scoring the answer result of the current learning user and the answer result of the learning partner based on the standard answer of the question, and taking the scoring result as the final evaluation score of the current learning user on the question.
16. An electronic device, comprising
A processor; and
a memory having computer readable instructions stored thereon which, when executed by the processor, implement the method of any of claims 1 to 14.
17. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 14.
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