CN111241456A - Learning resource allocation method and system - Google Patents
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Abstract
The invention belongs to the technical field of online education, and particularly relates to a learning resource allocation method and a learning resource allocation system. The method comprises the following steps: step one, storing learning resources corresponding to knowledge points in a database according to the knowledge points, and classifying and storing the learning resources according to the types of the resources during storage; marking a ring section number for each resource type; step three, link sequence information corresponding to each knowledge point of the client is obtained; and step four, configuring corresponding link sequence information for each knowledge point. The method and the device can configure a set of ordered learning resources adapting to each knowledge point, and reduce the difficulty in pushing the learning resources for students in the later period.
Description
Technical Field
The invention belongs to the technical field of online education, and particularly relates to a learning resource allocation method and a learning resource allocation system.
Background
In the existing online education technology, a method for directly binding various learning resources to knowledge points is adopted for learning resource allocation of the knowledge points, the learning resources allocated by the method are pushed uniformly by a fixed rule when being pushed to learning, but the learning difficulties of different knowledge points are different, the learning strategies are different, if the fixed rule is adopted for pushing, the pushing is not suitable, for example, some knowledge points need to be learned first and then interacted, some knowledge points need to be interacted first and then learned, and if a rule is defined for each knowledge point to push a test question, a large amount of labor is undoubtedly needed, so that a proper learning resource allocation strategy is needed, the requirements of the learning strategy are considered when the learning resources are allocated, and a set of ordered learning resources adapted to each knowledge point is allocated.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a learning resource configuration method and system aiming at the defects in the prior art, which can configure a set of ordered self-adaptive learning resources for each knowledge point, and reduce the difficulty in pushing the learning resources for students in the later period.
In order to solve the above technical problem, a first aspect of the present invention discloses a learning resource allocation method, including the following steps:
step one, storing learning resources corresponding to knowledge points in a database according to the knowledge points, and classifying and storing the learning resources according to the types of the resources during storage;
marking a ring section number for each resource type;
step three, link sequence information corresponding to each knowledge point of the client is obtained;
and step four, configuring corresponding link sequence information for each knowledge point.
In the learning resource allocation method, the third step further includes obtaining a number M of push resources of each link of the client corresponding to each knowledge point;
if the number M of the push resources can be obtained, judging whether M is less than or equal to N, wherein N is the number of the learning resources of the corresponding link, and if so, configuring the number M of the push resources for the corresponding link in the fourth step; if not, allocating the pushing resource quantity to be N for the corresponding link;
if the push resource quantity M is not obtained, in the fourth step, the push resource quantity N is configured for the corresponding link.
According to the learning resource allocation method, whether M is less than or equal to N is judged, and if not, learning resource shortage information is sent to the client.
According to the learning resource allocation method, the resource types comprise practice problems, videos, interactive problems, learning problems and lectures.
The invention discloses a learning resource configuration system in a second aspect, which comprises a storage module, a marking module, an acquisition module and a configuration module
The storage module is used for storing the learning resources corresponding to the knowledge points in the database according to the knowledge points and storing the learning resources in a resource type classification mode during storage;
the marking module is used for marking a ring section number for each resource type;
the acquisition module is used for acquiring link sequence information of the client corresponding to each knowledge point;
and the configuration module is used for configuring corresponding link sequence information for each knowledge point.
The learning resource allocation system also comprises a judgment module; the acquisition module is further used for acquiring the pushing resource quantity M of each link of the client corresponding to each knowledge point;
the judging module is used for judging whether the pushing resource quantity M can be acquired, if so, further judging whether M is less than or equal to N, N is the learning resource quantity of the corresponding link, and if so, the configuring module configures the pushing resource quantity M for the corresponding link; if not, the configuration module configures the push resource quantity for the corresponding link to be N;
and judging whether the push resource quantity M can be acquired or not, and if not, configuring the push resource quantity N for the corresponding link by the configuration module.
The learning resource allocation system further comprises a feedback module, and the feedback module is used for sending the learning resource shortage information to the client when the judgment module judges that M is not more than N.
According to the learning resource allocation system, the resource types comprise practice problems, videos, interactive problems, learning problems and lectures.
Compared with the prior art, the invention has the following advantages: according to the method, the learning resources are stored according to the types of the learning resources in a classified manner when the learning resources are stored, each type of learning resources are labeled in a link, and the link sequence of learning of a teacher aiming at the knowledge points at the client is obtained to configure the knowledge points in the link sequence, so that the configured learning resources are in the sequence, and when the learning resources are pushed to students in the later period, the learning resources can be directly pushed according to the link sequence, and the pushing difficulty is reduced.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
FIG. 1 is a flowchart of a learning resource allocation method according to the present invention.
FIG. 2 is a flow chart of pushing learning resources after configuration is completed according to the present invention.
Fig. 3 is a schematic block diagram of the learning resource allocation system of the present invention.
Detailed Description
As shown in fig. 1, the learning resource allocation method includes the following steps:
step one, storing learning resources corresponding to knowledge points in a database according to the knowledge points, and classifying and storing the learning resources according to the types of the resources during storage; the resource types include practice problems, videos, interactive problems, study problems, and lectures.
Marking a ring section number for each resource type; for example, the resource type practice question marking link serial number is 1, the video marking link serial number is 2, the interactive question marking link serial number is 3, the learning question marking link serial number is 4, and the lecture note marking link serial number is 5.
Step three, link sequence information corresponding to each knowledge point of the client is obtained; for example, if the sequence of one link is 53241, the corresponding later-stage pushing sequence is lecture, interactive questions, video, learning exercises and practice exercises;
and step four, configuring corresponding link sequence information for each knowledge point.
It should be noted that, in practice, when a teacher builds a course module at a client, teaching and research requirements of resource recommendation in different scenes are met by configuring corresponding link sequences. For example, in the scenario of the diagnostic test, the teacher only needs to push 2 exercise questions to evaluate whether the student meets the knowledge point. Under the high-efficiency learning scene, 1 video, 1 interactive problem, 1 learning problem and 1 training problem are required to be pushed to help students to learn the knowledge point. When learning resources are required to be allocated, two sets of link sequences are allocated, wherein the two sets of link sequences respectively correspond to the link sequences of the diagnosis test module and the learning module.
In this embodiment, the third step further includes obtaining a pushing resource quantity M of each link of the client corresponding to each knowledge point;
if the number M of the push resources can be obtained, judging whether M is less than or equal to N, wherein N is the number of the learning resources of the corresponding link, and if so, configuring the number M of the push resources for the corresponding link in the fourth step; if not, allocating the pushing resource quantity to be N for the corresponding link;
if the push resource quantity M is not obtained, in the fourth step, the push resource quantity N is configured for the corresponding link.
It should be noted that the number M of push resources is the number of learning resources required for learning in the actual learning scenario given by the teacher. When M is less than or equal to N, the learning resources are sufficient and pushed according to M, and when M is less than or equal to N, the learning resources are insufficient and pushed according to N.
In this embodiment, whether M is equal to or less than N is determined, and if not, learning resource shortage information is sent to the client.
It should be noted that, by the learning resource allocation method, each link for each knowledge point can be composed of three attributes, i.e., a learning resource type, a learning resource recommendation number, and a link number.
After the learning resource allocation is completed, when the learning resource is pushed in the later period, the process is as shown in fig. 2, and the link chain in fig. 2 represents a link sequence.
As shown in FIG. 3, the learning resource allocation system comprises a storage module, a marking module, an acquisition module and an allocation module
The storage module is used for storing the learning resources corresponding to the knowledge points in the database according to the knowledge points and storing the learning resources in a resource type classification mode during storage;
the marking module is used for marking a ring section number for each resource type;
the acquisition module is used for acquiring link sequence information of the client corresponding to each knowledge point;
and the configuration module is used for configuring corresponding link sequence information for each knowledge point.
In this embodiment, the apparatus further comprises a judging module; the acquisition module is further used for acquiring the pushing resource quantity M of each link of the client corresponding to each knowledge point;
the judging module is used for judging whether the pushing resource quantity M can be acquired, if so, further judging whether M is less than or equal to N, N is the learning resource quantity of the corresponding link, and if so, the configuring module configures the pushing resource quantity M for the corresponding link; if not, the configuration module configures the push resource quantity for the corresponding link to be N;
and judging whether the push resource quantity M can be acquired or not, and if not, configuring the push resource quantity N for the corresponding link by the configuration module.
In this embodiment, the learning resource management system further includes a feedback module, where the feedback module is configured to send learning resource shortage information to the client when the determination module determines that M is not greater than N.
In this embodiment, the resource types include practice questions, videos, interactive questions, study questions, and lectures.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and all simple modifications, changes and equivalent structural changes made to the above embodiment according to the technical spirit of the present invention still fall within the protection scope of the technical solution of the present invention.
Claims (8)
1. The learning resource allocation method is characterized by comprising the following steps:
step one, storing learning resources corresponding to knowledge points in a database according to the knowledge points, and classifying and storing the learning resources according to the types of the resources during storage;
marking a ring section number for each resource type;
step three, link sequence information corresponding to each knowledge point of the client is obtained;
and step four, configuring corresponding link sequence information for each knowledge point.
2. The learning resource allocation method according to claim 1, characterized in that: the third step also comprises the step of obtaining the pushing resource quantity M of each link of the client corresponding to each knowledge point;
if the number M of the push resources can be obtained, judging whether M is less than or equal to N, wherein N is the number of the learning resources of the corresponding link, and if so, configuring the number M of the push resources for the corresponding link in the fourth step; if not, allocating the pushing resource quantity to be N for the corresponding link;
if the push resource quantity M is not obtained, in the fourth step, the push resource quantity N is configured for the corresponding link.
3. The learning resource allocation method according to claim 2, characterized in that: and judging whether the M is less than or equal to the N, if not, sending learning resource shortage information to the client.
4. The learning resource allocation method according to claim 1, characterized in that: the resource types include practice problems, videos, interactive problems, study problems, and lectures.
5. A learning resource allocation system characterized by: comprises a storage module, a marking module, an acquisition module and a configuration module
The storage module is used for storing the learning resources corresponding to the knowledge points in the database according to the knowledge points and storing the learning resources in a resource type classification mode during storage;
the marking module is used for marking a ring section number for each resource type;
the acquisition module is used for acquiring link sequence information of the client corresponding to each knowledge point;
and the configuration module is used for configuring corresponding link sequence information for each knowledge point.
6. The learning resource configuration system of claim 5, wherein: the device also comprises a judging module; the acquisition module is further used for acquiring the pushing resource quantity M of each link of the client corresponding to each knowledge point;
the judging module is used for judging whether the pushing resource quantity M can be acquired, if so, further judging whether M is less than or equal to N, N is the learning resource quantity of the corresponding link, and if so, the configuring module configures the pushing resource quantity M for the corresponding link; if not, the configuration module configures the push resource quantity for the corresponding link to be N;
and judging whether the push resource quantity M can be acquired or not, and if not, configuring the push resource quantity N for the corresponding link by the configuration module.
7. The learning resource configuration system of claim 6 wherein: the system further comprises a feedback module, wherein the feedback module is used for sending the learning resource shortage information to the client when the judging module judges that M is not more than N.
8. The learning resource configuration system of claim 5, wherein: the resource types include practice problems, videos, interactive problems, study problems, and lectures.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE202022101131U1 (en) | 2022-03-01 | 2022-03-09 | Danish Ather | Intelligent management system for online technical learning and training based on information literacy |
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| CN106034163A (en) * | 2015-03-20 | 2016-10-19 | 中兴通讯股份有限公司 | Resource information pushing method and device |
| CN107766543A (en) * | 2017-10-31 | 2018-03-06 | 广东小天才科技有限公司 | A kind of search result of knowledge based point provides method and device |
| CN110491222A (en) * | 2019-06-12 | 2019-11-22 | 上海乂学教育科技有限公司 | Writing in classical Chinese learning system |
| CN110489648A (en) * | 2019-08-15 | 2019-11-22 | 上海乂学教育科技有限公司 | Education resource dynamic pushing method and system |
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- 2020-03-25 CN CN202010215629.3A patent/CN111241456A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106034163A (en) * | 2015-03-20 | 2016-10-19 | 中兴通讯股份有限公司 | Resource information pushing method and device |
| CN107766543A (en) * | 2017-10-31 | 2018-03-06 | 广东小天才科技有限公司 | A kind of search result of knowledge based point provides method and device |
| CN110491222A (en) * | 2019-06-12 | 2019-11-22 | 上海乂学教育科技有限公司 | Writing in classical Chinese learning system |
| CN110489648A (en) * | 2019-08-15 | 2019-11-22 | 上海乂学教育科技有限公司 | Education resource dynamic pushing method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| DE202022101131U1 (en) | 2022-03-01 | 2022-03-09 | Danish Ather | Intelligent management system for online technical learning and training based on information literacy |
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Application publication date: 20200605 |