CN116153152A - Cloud teaching platform and method for online course learning - Google Patents
Cloud teaching platform and method for online course learning Download PDFInfo
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- CN116153152A CN116153152A CN202310119986.3A CN202310119986A CN116153152A CN 116153152 A CN116153152 A CN 116153152A CN 202310119986 A CN202310119986 A CN 202310119986A CN 116153152 A CN116153152 A CN 116153152A
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
- G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/06—Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-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
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention provides a cloud teaching platform and a method for online course learning, wherein the platform comprises: the online course resource library establishing module is used for establishing an online course resource library; the online course selection interface display module is used for generating and displaying an online course selection interface based on an online course resource library; the online course selection module is used for acquiring online courses selected by the login user from the online course selection interface; and the online course learning belt module is used for guiding the login user to enter the online course learning. According to the cloud teaching platform for online course learning, a learner does not need to go to a learning class on line, return to home from the learning class and spend time on the next learning class even after learning of one learning class is finished, so that the path cost is reduced, convenience is greatly improved, in addition, the learner can learn at any time, and when the learner has special conditions, the learner can learn after the special conditions are processed, and the cloud teaching platform is more humanized.
Description
Technical Field
The invention relates to the technical field of online education, in particular to a cloud teaching platform and method for online course learning.
Background
At present, college universities, office workers and the like can select to register some study classes offline in the idle time according to their interests, demands and the like as students to participate in study, for example: the registration takes part in yoga study, body-building study and small language study.
The students need to spend time going to the learning shift and returning to home from the learning shift to participate in the learning of the learning shift, thereby increasing the cost of the way and being less convenient. Secondly, college universities, office workers and other people often have non-uniform interests, requirements and the like, if the college universities, office workers and other people enter a plurality of learning classes through online registration, the students need to go to the next learning class after finishing learning of the learning class, and the road cost is further increased. In addition, off-line learning shifts are often learning shifts to schedule a class time, and the learner is inevitably provided with special situations, for example: temporarily attending a meeting, examination, etc., and when a learner cannot learn a lesson due to a special situation, the learner cannot independently conduct lesson supplement.
Thus, a solution is needed.
Disclosure of Invention
The invention aims to provide a cloud teaching platform and a cloud teaching method for online course learning, which are free from the time spent by a learner on going to a learning class, returning from the learning class to home and going to the next learning class even after the learning of one learning class is finished, reduce the road cost, greatly improve the convenience, and enable the learner to learn at any time, and enable the learner to learn after the special condition is processed when the learner has the special condition, so that the cloud teaching platform is more humanized.
The embodiment of the invention provides a cloud teaching platform for online course learning, which comprises the following components:
the online course resource library establishing module is used for establishing an online course resource library;
the online course selection interface display module is used for generating an online course selection interface based on the online course resource library and displaying the online course selection interface;
the online course selection module is used for acquiring online courses selected by the login user from the online course selection interface;
and the online course learning carrying module is used for carrying the login user to enter the learning of the online course.
Preferably, the online course resource library establishing module establishes an online course resource library, and performs the following operations:
extracting any first course resource from a preset course resource sharing library;
warehousing the first course resource;
and/or the number of the groups of groups,
when a registered teacher on any preset teaching platform records lessons, acquiring lesson recording videos;
warehousing the lesson recording video;
and/or the number of the groups of groups,
acquiring second course resources collected and uploaded by a background manager;
and warehousing the second course resources.
Preferably, before the online course resource library establishing module stores the first course resource, the following operations are further executed:
acquiring historical learning evaluation of the first course resource;
clustering the history learning evaluation to obtain a cluster set of a plurality of evaluation categories;
when the total number of the set elements in the cluster set is smaller than or equal to a preset total number threshold, taking the evaluation category corresponding to the cluster set as a target evaluation category;
acquiring a preset evaluation authenticity verification rule corresponding to the target evaluation category;
executing the evaluation authenticity verification rule according to the first course resource;
when the execution result is that the evaluation authenticity verification is not passed, rejecting the corresponding target evaluation category;
after all the target evaluation categories to be removed are removed, acquiring preset evaluation values corresponding to the rest evaluation categories, and accumulating and calculating to obtain an evaluation value sum;
and when the sum of the evaluation values is greater than or equal to a preset evaluation value and a threshold value, warehousing the first course resource.
Preferably, before the online course resource library building module stores the video for recording courses, the following operations are further executed:
acquiring a plurality of voice start-stop time intervals of the lesson recording video;
extracting video voice in a preset time before the time of the interval end point of any voice start-stop time interval from the lesson recording video;
carrying out semantic extraction on the video voice to obtain a first semantic;
matching the first semantics with a second semantics of a preset teacher command semantics library, if the matching is met, acquiring a preset command video segment corresponding to the second semantics which are met by the matching, and taking the time corresponding to the interval end point of the voice start-stop time interval as a target time;
expanding the lesson recording video on a preset time axis;
inserting the command video clip at a time axis position on the time axis corresponding to the target moment;
and generating teaching videos based on the time axis, and then entering a library.
Preferably, the online course selection interface display module generates an online course selection interface based on the online course resource library, and performs the following operations:
respectively acquiring a user image of the login user and an in-library resource image of the online course resource library;
determining an online course selection interface generation rule based on the user representation and the in-library resource representation;
and generating rules based on the online course selection interface, and generating an online course selection interface according to the online course resource library.
Preferably, determining an online course selection interface generation rule based on the user representation and the in-library resource representation comprises:
acquiring a plurality of rule determination auxiliary information; the rule determining auxiliary information includes: generating rules for standard user portraits, resource portraits in a standard library and a standard online course selection interface;
matching the user portrait with the standard user portrait to obtain a first matching degree;
matching the in-library resource portraits with the standard in-library resource portraits to obtain a second matching degree;
calculating a template based on a preset suitability value, and calculating a suitability value according to the first matching degree and the second matching degree;
taking the standard online course selection interface generation rule corresponding to the maximum suitable value as an online course selection interface generation rule;
wherein obtaining the plurality of rule determination auxiliary information includes:
when a new registered user accesses a randomly generated historical online course selection interface historically, if the selection is completed within a preset time period and/or within the preset interface page turning times, taking the portrait of the new registered user as a standard user portrait, taking the portrait of a historical online course resource library randomly generated by the historical online course selection interface as a standard library resource portrait, and taking a historical generation rule randomly generated by the historical online course selection interface as a standard online course selection interface generation rule.
Preferably, the online course learning belt module brings the logged-in user to learn to enter the online course, and performs the following operations:
extracting course characteristics of the online courses based on a preset characteristic extraction template;
configuring a preset course learning assistant based on the course characteristics;
and leading the login user to enter the learning of the online course through the course learning assistant.
The cloud teaching method for online course learning provided by the embodiment of the invention is characterized by comprising the following steps of:
step S1: establishing an online course resource library;
step S2: generating an online course selection interface based on the online course resource library, and displaying the online course selection interface;
step S3: acquiring an online course selected by a login user from the online course selection interface;
step S4: and guiding the logged-in user to enter the learning of the online course.
Preferably, the step S1: establishing an online course resource library, and executing the following operations:
extracting any first course resource from a preset course resource sharing library;
warehousing the first course resource;
and/or the number of the groups of groups,
when a registered teacher on any preset teaching platform records lessons, acquiring lesson recording videos;
warehousing the lesson recording video;
and/or the number of the groups of groups,
acquiring second course resources collected and uploaded by a background manager;
and warehousing the second course resources.
Preferably, before the first course resource is put in storage, the method further includes:
acquiring historical learning evaluation of the first course resource;
clustering the history learning evaluation to obtain a cluster set of a plurality of evaluation categories;
when the total number of the set elements in the cluster set is smaller than or equal to a preset total number threshold, taking the evaluation category corresponding to the cluster set as a target evaluation category;
acquiring a preset evaluation authenticity verification rule corresponding to the target evaluation category;
executing the evaluation authenticity verification rule according to the first course resource;
when the execution result is that the evaluation authenticity verification is not passed, rejecting the corresponding target evaluation category;
after all the target evaluation categories to be removed are removed, acquiring preset evaluation values corresponding to the rest evaluation categories, and accumulating and calculating to obtain an evaluation value sum;
and when the sum of the evaluation values is greater than or equal to a preset evaluation value and a threshold value, warehousing the first course resource.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a cloud teaching platform for online course learning according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a cloud teaching method for online course learning according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides a cloud teaching platform for online course learning, as shown in fig. 1, comprising:
the online course resource library establishing module 1 is used for establishing an online course resource library; there are different types of course resources in the online course resource library, such as: yoga teaching video, fitness teaching video, small language teaching video and the like;
the online course selection interface display module 2 is used for generating an online course selection interface based on the online course resource library and displaying the online course selection interface;
the online course selection module 3 is used for acquiring online courses selected by the login user from the online course selection interface;
and the online course learning carrying module 4 is used for carrying the login user to learn the online course.
The working principle and the beneficial effects of the technical scheme are as follows:
and visualizing the online course resource library, generating an online course selection interface for the user to select, and carrying the online course to learn after the user selects the online course to learn. When the method is specifically applied, college students and office workers register and log in the platform by using intelligent terminals such as mobile phones and computers, browse online courses of the selection heart instrument in an online course selection interface displayed on the platform according to interest and requirements of the students and the office workers, learn the online courses, and the learning time is set by the logged-in users, so that the students and office workers can learn at any time, select different online courses when the interests and the requirements are met, and then set the learning time at any time. The method has the advantages that a learner does not need to go to a learning class on line, return to home from the learning class, and spend time on the next learning class even after learning of one learning class is finished, so that the road cost is reduced, convenience is greatly improved, in addition, the learner can learn at any time, and when the learner has special conditions, the learner can learn after the special conditions are processed, and the method is more humanized.
In one embodiment, the online course resource library establishment module 1 establishes an online course resource library, and performs the following operations:
extracting any first course resource from a preset course resource sharing library; the preset course resource sharing library is in butt joint with different course resource platforms and shared by other parties; course resource platforms are, for example: video websites, online learning websites, etc.;
warehousing the first course resource;
and/or the number of the groups of groups,
when a registered teacher on any preset teaching platform records lessons, acquiring lesson recording videos; the registered teacher can record lessons on the teaching platform, and the lessons can be used as online course resources after the lessons are recorded;
warehousing the lesson recording video;
and/or the number of the groups of groups,
acquiring second course resources collected and uploaded by a background manager; the background manager is an internal staff;
and warehousing the second course resources.
The working principle and the beneficial effects of the technical scheme are as follows:
there are three ways to build an online course resource library: first, the first course resource shared by other parties is extracted from the course resource sharing library and put in storage. Second, the video of the recorded lessons after the lessons are recorded by the teacher is put in storage. Third, collected and uploaded by the internal staff. Three ways are introduced to establish an online course resource library, so that the comprehensiveness of the establishment of the online course resource library is improved, and the richness of online course resources is ensured.
In one embodiment, before the online course resource library building module 1 puts the first course resource in storage, the following operations are further performed:
acquiring historical learning evaluation of the first course resource; when a learner learns a first course resource on the course resource platform, the learner can give evaluation, namely historical learning evaluation;
clustering the history learning evaluation to obtain a cluster set of a plurality of evaluation categories; the evaluation categories include: the method has the advantages of high vividness, insufficient vividness, normal speech speed, too fast speech speed, complete teaching plan design, incomplete teaching plan design and the like;
when the total number of the set elements in the cluster set is smaller than or equal to a preset total number threshold, taking the evaluation category corresponding to the cluster set as a target evaluation category;
acquiring a preset evaluation authenticity verification rule corresponding to the target evaluation category; the evaluation authenticity verification rule is a rule for verifying whether or not the evaluation of the target evaluation category is actually practical, for example: the target evaluation category is that the voice speed is too fast, and the evaluation authenticity verification rule is that the voice speed of the person is extracted from the first course resource, whether the voice speed is too fast or not is determined, and the like;
executing the evaluation authenticity verification rule according to the first course resource;
when the execution result is that the evaluation authenticity verification is not passed, rejecting the corresponding target evaluation category;
after all the target evaluation categories to be removed are removed, acquiring preset evaluation values corresponding to the rest evaluation categories, and accumulating and calculating to obtain an evaluation value sum; the evaluation of the evaluation category represents that the better the first course resource is, the higher the evaluation value is, and conversely, the worse the first course resource is, the lower the evaluation value is;
and when the sum of the evaluation values is greater than or equal to a preset evaluation value and a threshold value, warehousing the first course resource.
The working principle and the beneficial effects of the technical scheme are as follows:
when the total number of the set elements in the cluster set is small, the number of people giving such evaluation is small, and evaluation authenticity verification is required. Evaluation authenticity verification is not required to be carried out on each type of evaluation, verification resources are reduced, and verification efficiency is improved. And an evaluation authenticity verification rule is introduced, so that the evaluation authenticity verification is rapidly performed, and the verification efficiency of the evaluation authenticity verification is improved. Based on the historical learning evaluation which can be ensured by the evaluation authenticity, the evaluation value sum representing the comprehensive good condition of the first course resource is determined, and when the evaluation value sum is greater than or equal to the evaluation value sum and a threshold value, the storage is carried out, so that the establishment quality of the online course resource library establishment is improved.
In one embodiment, before the online course resource library building module 1 puts the lesson-recording video in storage, the following operations are further performed:
acquiring a plurality of voice start-stop time intervals of the lesson recording video; the voice start-stop time interval can be constructed by extracting voice fragments from the lesson-recording video and determining the start-stop time of the voice fragments;
extracting video voice in a preset time before the time of the interval end point of any voice start-stop time interval from the lesson recording video; the preset time may be 5 seconds;
carrying out semantic extraction on the video voice to obtain a first semantic;
matching the first semantics with a second semantics of a preset teacher command semantics library, if the matching is met, acquiring a preset command video segment corresponding to the second semantics which are met by the matching, and taking the time corresponding to the interval end point of the voice start-stop time interval as a target time; the second semantics are semantics that reflect the teacher's command of the learner, for example: "complete textbook problem, limit time for 10 minutes", etc.; the preset command video segment corresponding to the second semantic is a video segment for replacing a waiting process after the teacher completes the command corresponding to the second semantic, for example: the second semantic meaning is "complete textbook problem, limit time for 10 minutes", then command video clip is duration for 10 minutes, only include "complete textbook problem, limit time for 10 minutes" video clip of subtitle;
expanding the lesson recording video on a preset time axis;
inserting the command video clip at a time axis position on the time axis corresponding to the target moment;
and generating teaching videos based on the time axis, and then entering a library. When the video clips are generated, all video clips on the time axis are combined one by one and then generated.
The working principle and the beneficial effects of the technical scheme are as follows:
generally, when a teacher is in a class, no student is present on site, and normally, the teacher has some command interaction links with the student during class, for example: when the links appear during the lesson recording, the teacher mostly simulates waiting, namely if the students complete the problems within 10 minutes, the students also wait for 10 minutes, so that the problem completion waiting time of 10 minutes in the lesson recording video is ensured, and the teacher time is particularly delayed. If not, after the teacher records the class, the teacher needs to add blank video corresponding to the waiting time after the corresponding waiting time through the video editing software, so that the operation is complicated, and the teacher also needs to learn the operation of the video editing software.
When the teacher and the student have some command interaction links, the command interaction links are mostly generated at the end of a section of explanation, so that the video voice in the preset time before the time of the interval end of the voice start-stop time interval is extracted from the recorded video, the first semantic meaning is extracted, when the first semantic meaning is matched with the second semantic meaning, the command interaction links are illustrated to be generated, and the corresponding command video segments are inserted. Therefore, blank videos corresponding to different waiting time periods exist in the generated teaching videos, and teachers do not need to wait and post editing when recording, so that convenience is improved, and applicability is achieved.
In one embodiment, the online course selection interface display module 2 generates an online course selection interface based on the online course resource library, and performs the following operations:
respectively acquiring a user image of the login user and an in-library resource image of the online course resource library; the user portrayal comprises: age, gender, hobbies, etc.; the in-library resource representation includes: a plurality of sets of resource types and numbers in one-to-one correspondence, for example: yoga teaching video and 100 parts;
determining an online course selection interface generation rule based on the user representation and the in-library resource representation; for example: the user prefers to exercise, and the exercise teaching videos of the resources in the library are many, so that the online course selection interface generation rules display the exercise teaching videos in front;
and generating rules based on the online course selection interface, and generating an online course selection interface according to the online course resource library.
The working principle and the beneficial effects of the technical scheme are as follows:
on the basis of the user portraits and the resource portraits in the library, the online course selection interface generation rules are determined, and the online course selection interface suitable for the login user is generated by the online course selection interface generation rules, so that the convenience of online course selection of the login user is improved, and the online course selection method is more humanized.
In one embodiment, determining online course selection interface generation rules based on the user representation and the in-library resource representation comprises:
acquiring a plurality of rule determination auxiliary information; the rule determining auxiliary information includes: generating rules for standard user portraits, resource portraits in a standard library and a standard online course selection interface;
matching the user portrait with the standard user portrait to obtain a first matching degree;
matching the in-library resource portraits with the standard in-library resource portraits to obtain a second matching degree;
calculating a template based on a preset suitability value, and calculating a suitability value according to the first matching degree and the second matching degree; the fitness value calculation template is as follows: fit=w 1 ·α+w 2 Beta, wherein fit is the appropriate value, alpha is the first degree of matching, beta is the second degree of matching, w 1 And w 2 Is a preset weight value, w 1 ＞w 2 ；
Taking the standard online course selection interface generation rule corresponding to the maximum suitable value as an online course selection interface generation rule;
wherein obtaining the plurality of rule determination auxiliary information includes:
when a new registered user accesses a randomly generated historical online course selection interface historically, if the selection is completed within a preset time period and/or within the preset interface page turning times, taking the portrait of the new registered user as a standard user portrait, taking the portrait of a historical online course resource library randomly generated by the historical online course selection interface as a standard library resource portrait, and taking a historical generation rule randomly generated by the historical online course selection interface as a standard online course selection interface generation rule. The preset duration is 12 seconds, and the preset interface page turning times are 3 times;
the working principle and the beneficial effects of the technical scheme are as follows:
historically, a randomly generated historical online course selection interface is displayed for a newly registered user, and if the newly registered user has short time spent on selection or does not turn pages much, the randomly generated historical generation rule of the historical online course selection interface is suitable for the newly registered user, and is also suitable for a historical online course resource library based on which the randomly generated historical online course selection interface is randomly generated, so that the historical online course selection interface is respectively extracted as a standard user portrait, a standard library interior resource portrait and a standard online course selection interface generation rule. When the first matching degree and the second matching degree are larger, the situation that the history generation rule generated in history is suitable is described to be replayed, the corresponding standard online course selection interface generation rule is used as the online course selection interface generation rule, and the generated online course selection interface is suitable for the current login user. The online course selection interface generation rules do not need to be set by development staff one by one, convenience is improved, the appropriate online course selection interface generation rules are determined based on a large number of conditions of the historic generated historic generation rules, and the usability of the historic information is improved.
In one embodiment, the online course learning strapping module 4 straps the login user to learn to enter the online course, and performs the following operations:
extracting course characteristics of the online courses based on a preset characteristic extraction template; the course characteristics include: course types, such as: yoga, course matching exercises, and the like;
configuring a preset course learning assistant based on the course characteristics; the course learning assistant is a virtual animated character configured, for example: the course type is yoga course, the virtual animation personnel wears yoga clothes, and after the course is finished, the course learning assistant takes the action of sending out the course matching exercises;
and leading the login user to enter the learning of the online course through the course learning assistant.
The working principle and the beneficial effects of the technical scheme are as follows:
and introducing course learning assistants to lead the logged-in user to learn, so as to arouse the learning interest of the logged-in user to a certain extent. In addition, the course learning assistant is configured based on course characteristics, so that the course learning assistant is suitable for leading the user to learn the online course.
The embodiment of the invention provides a cloud teaching method for online course learning, which is shown in fig. 2 and comprises the following steps:
step S1: establishing an online course resource library;
step S2: generating an online course selection interface based on the online course resource library, and displaying the online course selection interface;
step S3: acquiring an online course selected by a login user from the online course selection interface;
step S4: and guiding the logged-in user to enter the learning of the online course.
In one embodiment, the step S1: establishing an online course resource library, and executing the following operations:
extracting any first course resource from a preset course resource sharing library;
warehousing the first course resource;
and/or the number of the groups of groups,
when a registered teacher on any preset teaching platform records lessons, acquiring lesson recording videos;
warehousing the lesson recording video;
and/or the number of the groups of groups,
acquiring second course resources collected and uploaded by a background manager;
and warehousing the second course resources.
In one embodiment, before warehousing the first course resource, the method further includes:
acquiring historical learning evaluation of the first course resource;
clustering the history learning evaluation to obtain a cluster set of a plurality of evaluation categories;
when the total number of the set elements in the cluster set is smaller than or equal to a preset total number threshold, taking the evaluation category corresponding to the cluster set as a target evaluation category;
acquiring a preset evaluation authenticity verification rule corresponding to the target evaluation category;
executing the evaluation authenticity verification rule according to the first course resource;
when the execution result is that the evaluation authenticity verification is not passed, rejecting the corresponding target evaluation category;
after all the target evaluation categories to be removed are removed, acquiring preset evaluation values corresponding to the rest evaluation categories, and accumulating and calculating to obtain an evaluation value sum;
and when the sum of the evaluation values is greater than or equal to a preset evaluation value and a threshold value, warehousing the first course resource.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. A cloud teaching platform for online course learning, comprising:
the online course resource library establishing module is used for establishing an online course resource library;
the online course selection interface display module is used for generating an online course selection interface based on the online course resource library and displaying the online course selection interface;
the online course selection module is used for acquiring online courses selected by the login user from the online course selection interface;
and the online course learning carrying module is used for carrying the login user to enter the learning of the online course.
2. The cloud teaching platform for online course learning of claim 1, wherein the online course repository creation module creates an online course repository, performing the following operations:
extracting any first course resource from a preset course resource sharing library;
warehousing the first course resource;
and/or the number of the groups of groups,
when a registered teacher on any preset teaching platform records lessons, acquiring lesson recording videos;
warehousing the lesson recording video;
and/or the number of the groups of groups,
acquiring second course resources collected and uploaded by a background manager;
and warehousing the second course resources.
3. The cloud teaching platform for online course learning of claim 2, wherein said online course resource library creation module further performs the following operations before warehousing said first course resource:
acquiring historical learning evaluation of the first course resource;
clustering the history learning evaluation to obtain a cluster set of a plurality of evaluation categories;
when the total number of the set elements in the cluster set is smaller than or equal to a preset total number threshold, taking the evaluation category corresponding to the cluster set as a target evaluation category;
acquiring a preset evaluation authenticity verification rule corresponding to the target evaluation category;
executing the evaluation authenticity verification rule according to the first course resource;
when the execution result is that the evaluation authenticity verification is not passed, rejecting the corresponding target evaluation category;
after all the target evaluation categories to be removed are removed, acquiring preset evaluation values corresponding to the rest evaluation categories, and accumulating and calculating to obtain an evaluation value sum;
and when the sum of the evaluation values is greater than or equal to a preset evaluation value and a threshold value, warehousing the first course resource.
4. The cloud teaching platform for online course learning of claim 2, wherein the online course repository creation module further performs the following operations before putting the video of the lesson recording in storage:
acquiring a plurality of voice start-stop time intervals of the lesson recording video;
extracting video voice in a preset time before the time of the interval end point of any voice start-stop time interval from the lesson recording video;
carrying out semantic extraction on the video voice to obtain a first semantic;
matching the first semantics with a second semantics of a preset teacher command semantics library, if the matching is met, acquiring a preset command video segment corresponding to the second semantics which are met by the matching, and taking the time corresponding to the interval end point of the voice start-stop time interval as a target time;
expanding the lesson recording video on a preset time axis;
inserting the command video clip at a time axis position on the time axis corresponding to the target moment;
and generating teaching videos based on the time axis, and then entering a library.
5. The cloud teaching platform for online course learning of claim 1, wherein the online course selection interface display module generates an online course selection interface based on the online course repository, performing the following operations:
respectively acquiring a user image of the login user and an in-library resource image of the online course resource library;
determining an online course selection interface generation rule based on the user representation and the in-library resource representation;
and generating rules based on the online course selection interface, and generating an online course selection interface according to the online course resource library.
6. The cloud teaching platform for online course learning of claim 5 wherein determining online course selection interface generation rules based on said user representation and said in-library resource representation comprises:
acquiring a plurality of rule determination auxiliary information; the rule determining auxiliary information includes: generating rules for standard user portraits, resource portraits in a standard library and a standard online course selection interface;
matching the user portrait with the standard user portrait to obtain a first matching degree;
matching the in-library resource portraits with the standard in-library resource portraits to obtain a second matching degree;
calculating a template based on a preset suitability value, and calculating a suitability value according to the first matching degree and the second matching degree;
taking the standard online course selection interface generation rule corresponding to the maximum suitable value as an online course selection interface generation rule;
wherein obtaining the plurality of rule determination auxiliary information includes:
when a new registered user accesses a randomly generated historical online course selection interface historically, if the selection is completed within a preset time period and/or within the preset interface page turning times, taking the portrait of the new registered user as a standard user portrait, taking the portrait of a historical online course resource library randomly generated by the historical online course selection interface as a standard library resource portrait, and taking a historical generation rule randomly generated by the historical online course selection interface as a standard online course selection interface generation rule.
7. The cloud teaching platform for online course learning of claim 1, wherein said online course learning module directs said logged-in user to enter said online course learning by:
extracting course characteristics of the online courses based on a preset characteristic extraction template;
configuring a preset course learning assistant based on the course characteristics;
and leading the login user to enter the learning of the online course through the course learning assistant.
8. A cloud teaching method for online course learning, comprising:
step S1: establishing an online course resource library;
step S2: generating an online course selection interface based on the online course resource library, and displaying the online course selection interface;
step S3: acquiring an online course selected by a login user from the online course selection interface;
step S4: and guiding the logged-in user to enter the learning of the online course.
9. The cloud teaching method for online course learning as claimed in claim 8, wherein said step S1: establishing an online course resource library, and executing the following operations:
extracting any first course resource from a preset course resource sharing library;
warehousing the first course resource;
and/or the number of the groups of groups,
when a registered teacher on any preset teaching platform records lessons, acquiring lesson recording videos;
warehousing the lesson recording video;
and/or the number of the groups of groups,
acquiring second course resources collected and uploaded by a background manager;
and warehousing the second course resources.
10. The cloud teaching method for online course learning of claim 9, wherein prior to warehousing said first course resource, further comprising:
acquiring historical learning evaluation of the first course resource;
clustering the history learning evaluation to obtain a cluster set of a plurality of evaluation categories;
when the total number of the set elements in the cluster set is smaller than or equal to a preset total number threshold, taking the evaluation category corresponding to the cluster set as a target evaluation category;
acquiring a preset evaluation authenticity verification rule corresponding to the target evaluation category;
executing the evaluation authenticity verification rule according to the first course resource;
when the execution result is that the evaluation authenticity verification is not passed, rejecting the corresponding target evaluation category;
after all the target evaluation categories to be removed are removed, acquiring preset evaluation values corresponding to the rest evaluation categories, and accumulating and calculating to obtain an evaluation value sum;
and when the sum of the evaluation values is greater than or equal to a preset evaluation value and a threshold value, warehousing the first course resource.
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