CN109710828B - Course resource management method, device and equipment of online learning platform - Google Patents
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Abstract
The invention provides a course resource management method, a device and equipment of an online learning platform. The method comprises the following steps: acquiring user behavior information corresponding to a plurality of course resources; and determining a demand keyword according to the user behavior information corresponding to the plurality of course resources, wherein the demand keyword is used for managing the course resources of the online learning platform. The embodiment of the invention realizes the optimized management of course resources.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a course resource management method, device and equipment for an online learning platform.
Background
With the popularization and deep application of the internet, the enterprise online learning platform becomes an important way for internal education and knowledge sharing. Effective data analysis is carried out on student behavior data, so that an administrator can know the learning condition of the network student timely, the platform operation strategy deployment is guided, and the operation efficiency is improved.
The enterprise online learning platform is different from other internet platforms, so that the enterprise online learning platform has the characteristics of relatively fixed student scope, relatively centralized course resources and the like, and has specific student portrait and course resource management requirements. In order to meet the operation requirements of the online learning platform of the enterprise, for technical personnel in the field, the behavior characteristics and the content resource characteristics of students are urgently needed to be analyzed and researched, and efficient course resource management is carried out.
Disclosure of Invention
The invention provides a course resource management method, a device and equipment of an online learning platform, which realize high-efficiency course resource management according to user behavior characteristics and content resource characteristics.
In a first aspect, the present invention provides a course resource management method for an online learning platform, including:
acquiring user behavior information corresponding to a plurality of course resources;
and determining a demand keyword according to the user behavior information corresponding to the plurality of course resources, wherein the demand keyword is used for managing the course resources of the online learning platform.
In a second aspect, the present invention provides a course resource management device for an online learning platform, including:
the acquisition module is used for acquiring user behavior information corresponding to a plurality of course resources; the user behavior information includes at least one of: learning duration and learning times;
and the processing module is used for determining a demand keyword according to the user behavior information corresponding to the plurality of course resources, wherein the demand keyword is used for managing the course resources of the online learning platform.
In a third aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the method described in any one of the first aspect.
In a fourth aspect, an embodiment of the present invention provides an electronic device, including:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of any of the first aspects via execution of the executable instructions.
The course resource management method, the device and the equipment for the online learning platform provided by the embodiment of the invention are used for acquiring user behavior information corresponding to a plurality of course resources; and determining a demand keyword according to the user behavior information corresponding to the plurality of course resources, wherein the demand keyword is used for managing the course resources of the online learning platform, and if course purchasing processing is carried out, course resource optimization management is realized.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a schematic application scenario diagram of a course resource management method of an online learning platform according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating an embodiment of a course resource management method for an online learning platform according to the present invention;
FIG. 3 is a schematic structural diagram of an embodiment of a course resource management device of an online learning platform provided by the present invention;
fig. 4 is a schematic structural diagram of an embodiment of an electronic device provided in the present invention.
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terms "comprising" and "having," and any variations thereof, in the description and claims of this invention and the drawings described herein are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Firstly, the application scene related to the invention is introduced:
the course resource management method provided by the embodiment of the invention is applied to the management of the course resources of the online learning platform based on the learning behaviors of the user, is used for guiding the operation strategy deployment of the online learning platform of an enterprise and improves the operation efficiency.
The course resource management method provided by the embodiment of the invention can be applied to a system for online learning of a user through an online learning platform, wherein the online learning platform in the embodiment of the invention refers to an Application program (APP for short) capable of realizing an online learning function. Fig. 1 is a schematic view of an application scenario of a course resource management method of an online learning platform according to an embodiment of the present invention, as shown in fig. 1, the system includes a server 11, a first electronic device 12, and a second electronic device 13, and in the embodiment of the present invention, the first electronic device 12 is taken as a device corresponding to a user, and the second electronic device 13 is taken as a device corresponding to an administrator for example. And the user performs online learning based on the online learning platform loaded on the first electronic equipment. And the administrator manages the course resources based on the online learning platform loaded on the second electronic equipment.
And a basic information database can be arranged on the server to manage and maintain data such as user basic information, user behavior information, course resource information and the like of the online learning platform. The basic information database may hold, for example, ID of each user, basic information, access record, and learning duration and learning number of the course resource, and attribute information (information such as ID and name) of the course resource, keyword, delivery time, category, and the like.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 2 is a schematic flowchart of an embodiment of a course resource management method for an online learning platform according to the present invention. The execution subject of the present embodiment is a server. As shown in fig. 2, the method provided by this embodiment includes:
Specifically, when the course resources are managed, user behavior information corresponding to a plurality of course resources, that is, information such as the learning duration, learning times, and search keywords of the user on the course resources, needs to be acquired based on the learning condition of the user.
Specifically, the demand keywords are determined according to the user behavior information corresponding to the plurality of course resources, and the administrator can be guided to purchase the course resources according to the demand keywords, so that the optimized management of the course resources is further realized.
For example, the required keywords are determined according to the learning time length and the learning times of the curriculum resources by the user, and for the curriculum resources with extremely high click rate index (namely high learning times) but short learning time length, the keyword preference of the user to the curriculum resources is considered to be obvious, but the curriculum resources are not enough to attract the user to learn, so the keywords of the curriculum resources are used as the required keywords for further requirements.
Furthermore, the demand keyword may also be determined according to the search keyword of the user, for example, the search keyword with a small number of corresponding courses in a period of time is used as the demand keyword.
According to the method, user behavior information corresponding to a plurality of course resources is acquired; the user behavior information includes at least one of: learning duration and learning times; and determining a demand keyword according to the user behavior information corresponding to the plurality of course resources, wherein the demand keyword is used for managing the course resources of the online learning platform, and if course purchasing processing is carried out, course resource optimization management is realized.
Based on the above embodiment, further, step 202 can be implemented by the following several ways:
one implementation is as follows:
the user behavior information includes: learning duration and learning times;
determining the first N curriculum resources with the maximum learning times according to the learning times of the plurality of curriculum resources;
determining the first M curriculum resources with the shortest learning duration according to the learning durations of the first N curriculum resources;
taking the keywords of the first M curriculum resources as the requirement keywords; wherein N is an integer greater than 1, and M is an integer greater than 1.
Specifically, two indexes, namely the learning frequency (the learning frequency of the course resource is increased by 1) and the learning duration, of the course resource can be comprehensively considered, for courses with extremely high learning frequency but short learning duration, the user is considered to have obvious preference on keywords, but the course resource is insufficient to attract the user to learn, so that the keywords of the course resource are used as demand keywords for further demand to form a demand keyword list which can be recorded as KW1{ }, and are provided for a manager, and the manager can perform optimized management such as purchasing on the course resource based on the demand keywords. The specific implementation process is as follows:
and acquiring information of the course resources such as learning times, learning duration, keywords, release time and the like.
According to the learning times of the course resources, the course resources are sorted (for example, sorted in a descending order), the first N with the largest learning times are taken as an alternative course list 1, which is recorded as a set TopLNCourse { }, and the set element is the ID of the course resource meeting the condition.
For the course resources in the set TopLNCourse { }, sorting (i.e., ascending sorting) the course resources according to the learning duration from small to large, and taking the first M course resources with the shortest learning duration as an alternative course list 2, which is recorded as a set LowLTCourse { }, where the set element is the ID of the course resource meeting the condition.
For the course resources in LowLTCOurse { }, extracting the required keywords according to the keywords of the course resources.
Further, extracting the requirement keyword may be implemented as follows:
and taking the keywords of the course resources with the learning duration less than a first preset threshold value in the first M course resources as the required keywords.
Specifically, for the set lowltsource { }, according to a set first preset threshold, that is, a shortest learning duration threshold a (which may be set by default or may be specified by an administrator, for example, the learning duration is less than 1 hour), the course resources in the set whose learning duration is less than the threshold a are stored in the requirement set, and are recorded as the set rcosource { }.
And taking keywords of the course resources in the set RCourse { } as requirement keywords.
Furthermore, the first K keywords with the most frequency can be determined according to the frequency of the keywords of the first M curriculum resources, and the first K keywords are used as the demand keywords; wherein K is an integer greater than 1.
Specifically, for the course resources in the set RCourse { }, according to the keyword information of the course resources, the keywords of the course resources in the set are sorted from large to small according to the occurrence frequency of the keywords, for example, if 5 courses of the keyword "cloud computing" in the set all contain the keyword, the occurrence frequency of the keyword "cloud computing" is considered to be 5. And selecting K keywords before ranking as requirement keywords, and storing the requirement keywords into a set KW1{ }.
The other realization mode is as follows:
the user behavior information comprises retrieval keywords; step 201 may include: acquiring a retrieval keyword used by a user within a preset time length;
step 202 may be specifically implemented as follows:
matching the retrieval keywords with keywords of the course resources to obtain matched keywords;
and determining the required keywords according to the number of courses corresponding to the matched keywords.
Specifically, according to the search term input by the user, the keywords of the corresponding course resources are matched, the keywords of which the course quantity is smaller than a second preset threshold value are used as the demand keywords and recorded as KW2{ }, and the demand keywords are provided for the administrator for guiding the administrator to perform course purchasing processing. The specific implementation process is as follows:
and acquiring a retrieval keyword of the user, and if the retrieval keyword used by the user within a preset time length is acquired from a basic database, storing the retrieval keyword into a retrieval keyword set, and marking as IKey { }.
And matching keywords in the set IKey { } with keywords of course resources to obtain a matched keyword list. In view of the fact that keywords input by a user are irregular, the keywords are matched with keywords of course resources in an online learning platform, a fuzzy matching method is adopted, the matched keywords of the course resources are used as a retrieval keyword list, and the retrieval keyword list is stored in a set ICourseKey { }. For example, if the search keyword input by the user is "cloud", and the keywords of the fuzzy matching course resources are "cloud computing" and "cloud service", the keywords of the two matching course resources are stored in the set icourssekey { }.
Further, if the number of courses corresponding to the matched keyword is smaller than a second preset threshold, the matched keyword is used as a demand keyword.
Specifically, for a keyword in the set ICourseKey { }, the related number of courses, that is, the number of courses having the keyword, is obtained. If the number of courses of the keyword is less than a second preset threshold, such as a threshold B (which may be set by default or may be specified by the administrator, for example, the number of courses is less than 3), the keyword may be used as a requirement keyword, and may be stored in a requirement keyword list KW2{ }, and provided to the administrator.
In this embodiment, the required keywords are determined according to the learning behavior of the user and the search keywords, and the administrator can be instructed to perform course purchasing processing, so that the course resource optimization management is further realized.
On the basis of the foregoing embodiment, further, the method of this embodiment further includes:
determining the first L curriculum resources with the shortest learning duration according to the learning durations of the plurality of curriculum resources;
taking the course resources with the release duration being greater than a third preset threshold value in the first L course resources as invalid course resources, and managing the course resources of the online learning platform; wherein L is an integer greater than 1.
Specifically, it may be considered that the course resource with a short learning duration and an older timeliness (i.e., a longer release time) is an invalid course resource, and the course resource is screened, and the ID of the screened course resource is stored in an invalid course resource list, which is recorded as invaidcourse { }, and is provided to the administrator. The specific process is as follows:
according to the learning duration of the course resources, the course resources of the online learning platform are sorted from small to large, the first L course resources with the shortest learning duration are taken and stored into a low learning duration course set, and the low learning duration course set is recorded as LowLTCourse { }.
Screening out courses with longer release time from a LowLTCourse { } set according to timeliness, setting a third preset threshold value according to the release time of course resources, such as a threshold value C (which can be set by default or can be specified by an administrator, for example, the release time of the course resources is greater than 3 years), screening out the course resources with the release time greater than the third preset threshold value, storing the course resources into a temporary database TempDB { }, and taking the course resources as invalid course resources for managing the course resources of the online learning platform, such as off-shelf processing the invalid course resources.
Wherein, will the course resource that the release duration is greater than the third preset threshold value in the preceding L course resources, as invalid course resource, include:
arranging the course resources with the release duration larger than a third preset threshold value in a descending order according to the release duration, and taking the previous P course resources as the invalid course resources; wherein P is an integer greater than 1.
Furthermore, the courses in the set TempDB { } can be sorted from old to new according to the release time, the first P course resources are taken as invalid courses and stored in the database InvalidCorse { }, the first P course resources are taken as invalid course resources and provided for an administrator, and the administrator can be instructed to perform course off-shelf processing, so that the optimization management of the course resources is further realized.
In the embodiment, the invalid course resources are determined according to the information of the course resources and the learning behaviors of the user, and the administrator can be instructed to perform off-shelf processing on the courses, so that optimized management of the course resources is further realized.
Fig. 3 is a structural diagram of an embodiment of a curriculum resource management device of an online learning platform provided by the present invention, and as shown in fig. 3, the curriculum resource management device of the online learning platform of the present embodiment includes:
an obtaining module 301, configured to obtain user behavior information corresponding to a plurality of course resources;
the processing module 302 is configured to determine a requirement keyword according to a plurality of user behavior information corresponding to the course resources, where the requirement keyword is used to manage the course resources of the online learning platform.
Optionally, the user behavior information includes: learning duration and learning times; the processing module 302 is specifically configured to:
determining the first N curriculum resources with the maximum learning times according to the learning times of the plurality of curriculum resources;
determining the first M curriculum resources with the shortest learning duration according to the learning durations of the first N curriculum resources;
taking the keywords of the first M curriculum resources as the requirement keywords; wherein N is an integer greater than 1, and M is an integer greater than 1.
Optionally, the processing module 302 is specifically configured to:
and taking the keywords of the course resources with the learning duration less than a first preset threshold value in the first M course resources as the demand keywords.
Optionally, the processing module 302 is specifically configured to:
determining the first K keywords with the most frequency according to the frequency of the keywords of the first M curriculum resources, and taking the first K keywords as the demand keywords; wherein K is an integer greater than 1.
Optionally, the user behavior information includes: searching the keywords; the obtaining module 301 is further configured to: acquiring a retrieval keyword used by a user within a preset time length;
the processing module 302 is specifically configured to:
matching the retrieval keywords with keywords of the course resources to obtain matched keywords;
and determining the required keywords according to the number of courses corresponding to the matched keywords.
Optionally, the processing module 302 is specifically configured to:
and if the number of courses corresponding to the matched keyword is smaller than a second preset threshold value, taking the matched keyword as the demand keyword.
Optionally, the processing module 302 is further configured to:
determining the first L curriculum resources with the shortest learning duration according to the learning durations of the plurality of curriculum resources;
taking the course resources with the release duration being greater than a third preset threshold value in the first L course resources as invalid course resources, and managing the course resources of the online learning platform; wherein L is an integer greater than 1.
Optionally, the processing module 302 is specifically configured to:
arranging the course resources with the release duration larger than a third preset threshold value in a descending order according to the release duration, and taking the previous P course resources as the invalid course resources; wherein P is an integer greater than 1.
The apparatus of this embodiment may be configured to implement the technical solutions of the above method embodiments, and the implementation principles and technical effects are similar, which are not described herein again.
Fig. 4 is a structural diagram of an embodiment of an electronic device provided in the present invention, and as shown in fig. 4, the electronic device includes:
a processor 401, and a memory 402 for storing executable instructions for the processor 401.
Optionally, the method may further include: a communication interface 403 for communicating with other devices.
The above components may communicate over one or more buses.
The processor 401 is configured to execute the corresponding method in the foregoing method embodiment by executing the executable instruction, and the specific implementation process of the method may refer to the foregoing method embodiment, which is not described herein again.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the method in the foregoing method embodiment is implemented.
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 limited only by the appended claims.
Claims (9)
1. A course resource management method of an online learning platform is characterized by comprising the following steps:
acquiring user behavior information corresponding to a plurality of course resources, wherein the user behavior information comprises retrieval keywords;
determining a demand keyword according to user behavior information corresponding to the plurality of course resources, wherein the demand keyword is used for managing the course resources of the online learning platform;
the obtaining of the user behavior information corresponding to the plurality of course resources includes:
acquiring a retrieval keyword used by a user within a preset time length;
determining a requirement keyword according to the user behavior information corresponding to the plurality of course resources, wherein the determining comprises the following steps:
matching the retrieval keywords with keywords of the course resources to obtain matched keywords;
and if the number of courses corresponding to the matched keyword is smaller than a second preset threshold value, taking the matched keyword as the demand keyword.
2. The method of claim 1, wherein the user behavior information comprises: learning duration and learning times; determining a requirement keyword according to the user behavior information corresponding to the plurality of course resources, wherein the determining comprises the following steps:
determining the first N curriculum resources with the maximum learning times according to the learning times of the plurality of curriculum resources;
determining the first M curriculum resources with the shortest learning duration according to the learning durations of the first N curriculum resources;
taking the keywords of the first M curriculum resources as the requirement keywords; wherein N is an integer greater than 1, and M is an integer greater than 1.
3. The method as claimed in claim 2, wherein said using the keywords of the first M lesson resources as the requirement keywords comprises:
and taking the keywords of the course resources with the learning duration less than a first preset threshold value in the first M course resources as the demand keywords.
4. The method as claimed in claim 2, wherein said using the keywords of the first M lesson resources as the requirement keywords comprises:
determining the first K keywords with the most frequency according to the frequency of the keywords of the first M curriculum resources, and taking the first K keywords as the demand keywords; wherein K is an integer greater than 1.
5. The method according to any one of claims 1-4, further comprising:
determining the first L curriculum resources with the shortest learning duration according to the learning durations of the plurality of curriculum resources;
taking the course resources with the release duration being greater than a third preset threshold value in the first L course resources as invalid course resources, and managing the course resources of the online learning platform; wherein L is an integer greater than 1.
6. The method as claimed in claim 5, wherein said regarding the lesson resources of the first L lesson resources whose release duration is greater than a third preset threshold as invalid lesson resources comprises:
arranging the course resources with the release duration larger than a third preset threshold value in a descending order according to the release duration, and taking the previous P course resources as the invalid course resources; wherein P is an integer greater than 1.
7. A course resource management device of an online learning platform is characterized by comprising:
the obtaining module is configured to obtain user behavior information corresponding to a plurality of course resources, where the user behavior information includes: searching the keywords;
the processing module is used for determining a demand keyword according to user behavior information corresponding to a plurality of the course resources, wherein the demand keyword is used for managing the course resources of the online learning platform;
the obtaining module is further configured to: acquiring a retrieval keyword used by a user within a preset time length;
the processing module is specifically configured to:
matching the retrieval keywords with keywords of the course resources to obtain matched keywords; and if the number of courses corresponding to the matched keyword is smaller than a second preset threshold value, taking the matched keyword as the demand keyword.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1-6.
9. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of any of claims 1-6 via execution of the executable instructions.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102508846A (en) * | 2011-09-26 | 2012-06-20 | 深圳中兴网信科技有限公司 | Internet based method and system for recommending media courseware |
| CN105912604A (en) * | 2016-04-05 | 2016-08-31 | 苏州奇展信息科技有限公司 | On-line training platform for customized recommendation of curriculums |
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| CN104219575B (en) * | 2013-05-29 | 2020-05-12 | 上海连尚网络科技有限公司 | Method and system for recommending related videos |
| US20180068344A1 (en) * | 2013-10-15 | 2018-03-08 | Jennifer L. Sultzaberger | Systems and methods for management of media campaigns |
| CN106651701A (en) * | 2016-12-29 | 2017-05-10 | 山东科技大学 | Learning resource constructing method and device |
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| CN102508846A (en) * | 2011-09-26 | 2012-06-20 | 深圳中兴网信科技有限公司 | Internet based method and system for recommending media courseware |
| CN105912604A (en) * | 2016-04-05 | 2016-08-31 | 苏州奇展信息科技有限公司 | On-line training platform for customized recommendation of curriculums |
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