CN115098790B - Course management method and system for online education platform - Google Patents
Course management method and system for online education platform Download PDFInfo
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- CN115098790B CN115098790B CN202211017818.5A CN202211017818A CN115098790B CN 115098790 B CN115098790 B CN 115098790B CN 202211017818 A CN202211017818 A CN 202211017818A CN 115098790 B CN115098790 B CN 115098790B
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
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- G—PHYSICS
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Abstract
The invention relates to the technical field of online education, and provides a course management method and a system for an online education platform, wherein the method comprises the following steps: determining all courses which are not learned by a user, and acquiring the learned time length of each course; establishing a pre-push list according to the number of courses which are not learned by a user and the learned time length of each course; determining the learned time length ratio between the learned time length and the total time length of each course, and determining the priority level of each course according to the learned time length ratio; and adjusting the pre-push list according to the priority level to determine that the final push list carries out course pushing on the user. The course pushing is carried out according to the course learning progress which is not completed by the user, the user is reminded of the course with the slow learning progress in time, and the user is effectively reminded of learning each course uniformly, so that the user can know the course with the slow learning progress in time and learn in time, and the user can effectively carry out balanced learning on each course.
Description
Technical Field
The invention relates to the technical field of online education, in particular to a course management method and system for an online education platform.
Background
At present, an information technology taking the internet as a core is widely applied to the field of global education, and information-based teaching based on the internet has shown unique advantages, so that a network online teaching mode is realized, the classroom is not limited by time and space, and a large amount of latest and richest online learning resources and a new interactive communication channel are provided for communication between teachers and students.
When a user of an existing online education platform learns courses, the user often decides the learned courses independently, however, when the user learns a plurality of courses in the online education platform simultaneously, due to personal preferences of the user, the user often selects the personally preferred courses to learn, the disliked courses often cannot be selected to learn actively, and the learning frequency of the disliked courses is low, therefore, due to the personal preferences of the user, the learning progress of one part of the courses in the plurality of courses learned by the user is fast, and the learning progress of one part of the courses is slow.
The existing online education platform cannot effectively push courses when a user learns the courses each time according to the learning progress of the user so as to prompt the user to learn each course uniformly. Therefore, how to push the courses to the user according to the learning progress of each course of the user to prompt the user to learn each course evenly becomes a problem to be solved urgently.
Disclosure of Invention
In view of this, the present invention provides a course management method and system for an online education platform, which aims to solve the problem that the existing online education platform cannot push courses to a user according to the learning progress of each course of the user to prompt the user to learn each course uniformly.
In one aspect, the present invention provides a course management method for an online education platform, including:
after a user logs in an online education platform, determining all courses which are not learned by the user, and acquiring the learned time length of each course;
establishing a pre-push list according to the number of courses which are not learned and completed by the user and the learned time length of each course:
when the number of the courses which are not learned is smaller than the threshold value of the number of the courses, the pre-push list is not established;
when the number of the courses which are not learned is larger than or equal to the threshold value of the number of the courses, establishing the pre-pushing list;
acquiring the total teaching time length of each course, determining the ratio of the learned time length of each course to the total teaching time length, recording the ratio as the learned time length ratio, and determining the priority level of each course according to the learned time length ratio;
and adjusting the arrangement sequence of the courses in the pre-push list according to the priority, determining a final push list, and sequentially pushing the courses to the user according to the arrangement sequence of the courses in the final push list.
Further, the final push list is pushed to the user, after the user starts to learn the course, a first course currently learned by the user is determined, and after the user finishes learning the first course, whether the first course is located in the final push list is judged:
when the first in-study course is located in the final push list, removing the first in-study course from the final push list, and judging whether the first in-study course is located at the head of the final push list, if so, pushing a second course located in the final push list to the user, and if not, pushing the first course located in the final push list to the user;
and when the first school course is not in the final pushing list, pushing the first two courses in the final pushing list to the user.
Further, when the pre-push list is established according to the number of courses which are not learned and completed by the user and the learned duration of each course, the method includes the following steps:
determining the number Δ P of courses which are not learned by the user and a threshold value P0 of the number of courses:
when the delta P is smaller than P0, the pre-pushing list is not established, and the curriculum with the minimum learning duration in the delta P curriculums is determined to be pushed to the user;
when the delta P is larger than or equal to P0, the learned time lengths of the delta P courses are respectively determined, the learned time lengths of the delta P courses are arranged from small to large to form a pre-push list, the pre-push list is [ A1-A2-A3-. An ], wherein A1 is a first course, A2 is a second course, A3 is a third course, an is An nth course, and the A1-An are arranged from small to large according to the learned time lengths.
Further, when the total teaching time length of each course is obtained, the learned time length ratio of each course is determined, and the priority level of each course is determined according to the learned time length ratio, the method includes:
after the total teaching time of each course is obtained, establishing a total teaching time matrix T, and setting T (T1, T2, T3,. And. Tn), wherein T1 is the total teaching time of a first course A1, T2 is the total teaching time of a second course A2, T3 is the total teaching time of a third course A3, and Tn is the total teaching time of An nth course An;
after the learned time length of each course is obtained, establishing a learned time length matrix t, and setting t (t 1, t2, t 3.. Once, tn), wherein t1 is the learned time length of the first course A1, t2 is the learned time length of the second course A2, t3 is the learned time length of the third course A3, and tn is the learned time length of the nth course An;
determining the learned time length ratio Tn/Tn of the nth course An according to the teaching total time length matrix T and the learned time length matrix T, wherein n =1,2,3,.. Once, n,
setting a first preset priority level X1, a second preset priority level X2, a third preset priority level X3, a fourth preset priority level X4 and a fifth preset priority level X5, wherein X1 is more than X2 and more than X3 and more than X4 and more than X5; setting a first preset learning time length ratio y1, a second preset learning time length ratio y2, a third preset learning time length ratio y3 and a fourth preset learning time length ratio y4, wherein y1 is more than 0 and less than y2 and less than y3 and less than y4 and less than 1;
determining the priority level of the nth course An according to the relationship between the learned time length ratio Tn/Tn of the nth course An and each preset learning time length ratio:
when Tn/Tn is less than y1, selecting the first preset priority level X1 as the priority level of the nth course An;
when y1 is not more than Tn/Tn is less than y2, selecting the second preset priority level X2 as the priority level of the nth course An;
when y2 is not more than Tn/Tn is less than y3, selecting the third preset priority level X3 as the priority level of the nth course An;
when y3 is not more than Tn/Tn is less than y4, selecting the fourth preset priority level X4 as the priority level of the nth course An;
when y4 is not more than Tn/Tn is less than 1, selecting the fifth preset priority level X5 as the priority level of the nth course An;
after the i preset priority Xi is selected as the priority of the n course An, i =1,2,3,4,5, the pre-push list [ A1-A2-A3- · -An ] is adjusted, the adjusted pre-push list is [ A1: xi-A2: xi-A3: xi- · -An: xi ], and the final push list is obtained by reordering according to the priority of each course, wherein the final push list is [ An: X1-An: X2-An: X3- · -An: X5], n =1,2,3,. And n.
Further, after obtaining the final push list [ An: X1-An: X2-An: X3-. -An: X5], it comprises:
setting a first preset learning frequency B1, a second preset learning frequency B2, a third preset learning frequency B3 and a fourth preset learning frequency B4, wherein B1 is more than B2 and less than B3 and less than B4;
acquiring the learning frequency delta Bn of the nth course learned by the user within a preset time length, and adjusting the priority level of each course in the final push list according to the relation between the learning frequency delta Bn of the nth course and each preset learning frequency:
when the delta Bn is more than or equal to B1 and less than B2, the priority level of the nth course is increased by two levels;
when the delta Bn is more than or equal to B2 and less than B3, the priority level of the nth course is improved by one level;
when the delta Bn is more than or equal to B3 and less than B4, the priority level of the nth course is reduced by one level;
when B4 is less than or equal to delta Bn, the priority level of the nth course is reduced by two levels;
after the priority level of the nth course is increased by one level or two levels, if the increased priority level is greater than the first preset priority level X1, the priority level of the nth course is set as the first preset priority level X1;
after the priority level of the nth course is reduced by one or two levels, if the reduced priority level is less than a fifth preset priority level X5, setting the priority level of the nth course as the fifth preset priority level X5;
and after the priority level of each course in the final push list is adjusted, each course in the final push list is reordered and then pushed.
Further, when obtaining the learning frequency Δ Bn of the nth course learned by the user within the preset time duration, the method includes:
setting a first preset time length S1, a second preset time length S2, a third preset time length S3 and a fourth preset time length S4, wherein S1 is more than S2 and more than S3 and more than S4; setting a first preset historical average score K1, a second preset historical average score K2, a third preset historical average score K3 and a fourth preset historical average score K4, wherein K1 is more than K2 and more than K3 and more than K4;
acquiring historical average scores delta K of first to nth courses A1 to An, and setting the time length of acquiring learning frequency delta Bn of the nth course according to the relation between the historical average scores delta L and each preset historical average score:
when the delta K is smaller than the K1, selecting the first preset time length S1 as the time length when the learning frequency delta Bn of the nth course is obtained;
when the delta K is more than or equal to K1 and less than K2, selecting the second preset time length S2 as the time length when the learning frequency delta Bn of the nth course is obtained;
when the delta K is more than or equal to K2 and less than K3, selecting the third preset time length S3 as the time length when the learning frequency delta Bn of the nth course is obtained;
when the delta K is more than or equal to K3 and less than K4, selecting the fourth preset time length S4 as the time length when the learning frequency delta Bn of the nth course is acquired;
and when the ith preset time length Si is selected as the time length when the learning frequency delta Bn of the nth course is acquired, acquiring the learning frequency delta Bn of the nth course learned by the user in the ith preset time length Si.
Compared with the prior art, the method has the advantages that after a user logs in an online education platform, all classes which are not learned by the user are determined, the learned time length of each class is obtained, a pre-pushing list is established according to the number of the classes which are not learned by the user and the learned time length of each class, the total teaching time length of each class is obtained, the ratio of the learned time length to the total teaching time length of each class is determined and recorded as the learned time length ratio, the priority level of each class is determined according to the learned time length ratio, a final pushing list is determined after the arrangement sequence of the classes in the pre-pushing list is adjusted according to the priority level, and the classes are pushed to the user in sequence according to the arrangement sequence of the final pushing list. According to the method and the device, the courses are pushed according to the learning progress of each course which is not learned by the user, so that the user is reminded of the course with the slow learning progress in time, and is reminded of learning each course uniformly, so that the user can know the course with the slow learning progress in time and learn the course in time, and the user can effectively learn each course uniformly.
In another aspect, the present invention further provides a course management system for an online education platform, including:
the time length obtaining module is used for determining all courses which are not learned by the user after the user logs in the online education platform and obtaining the learned time length of each course;
the pre-pushing list establishing module is used for establishing a pre-pushing list according to the number of courses which are not learned and completed by the user and the learned time length of each course:
when the number of the courses which are not learned is smaller than the threshold value of the number of the courses, the pre-push list is not established;
when the number of the courses which are not learned is larger than or equal to the threshold value of the number of the courses, establishing the pre-pushing list;
the priority level determining module is used for acquiring the total teaching time of each course, determining the ratio of the learned time of each course to the total teaching time, recording the ratio as the learned time ratio, and determining the priority level of each course according to the learned time ratio;
and the processing module is used for determining a final push list after adjusting the arrangement sequence of the courses in the pre-push list according to the priority level, and sequentially pushing the courses to the user according to the arrangement sequence of the courses in the final push list.
Further, the processing module is further configured to push the final push list to the user, determine a first course currently learned by the user after the user starts course learning, and determine whether the first course currently learned is located in the final push list after the user completes the learning of the first course:
when the first in-study course is located in the final push list, removing the first in-study course from the final push list, and judging whether the first in-study course is located at the head of the final push list, if so, pushing a second course located in the final push list to the user, and if not, pushing the first course located in the final push list to the user;
and when the first course in study is not in the final push list, pushing the first two courses in the final push list to the user.
Further, the pre-pushing list establishing module is further configured to, when establishing the pre-pushing list according to the number of courses that the user does not complete learning and the learned duration of each course, include:
determining the number Δ P of courses which are not learned by the user and a threshold value P0 of the number of courses:
when the delta P is smaller than P0, the pre-pushing list is not established, and the curriculum with the minimum learning duration in the delta P curriculums is determined to be pushed to the user;
when the delta P is larger than or equal to P0, the learned time lengths of the delta P courses are respectively determined, the learned time lengths of the delta P courses are arranged from small to large to form a pre-push list, the pre-push list is [ A1-A2-A3-. An ], wherein A1 is a first course, A2 is a second course, A3 is a third course, an is An nth course, and the A1-An are arranged from small to large according to the learned time lengths.
Further, the priority determining module is further configured to, when acquiring a total teaching time length of each course and determining a learned time length ratio of each course, determine a priority of each course according to the learned time length ratio, include:
after the total teaching time of each course is obtained, establishing a total teaching time matrix T, and setting T (T1, T2, T3,. And. Tn), wherein T1 is the total teaching time of a first course A1, T2 is the total teaching time of a second course A2, T3 is the total teaching time of a third course A3, and Tn is the total teaching time of An nth course An;
after the learned time length of each course is obtained, establishing a learned time length matrix t, and setting t (t 1, t2, t 3.. Once, tn), wherein t1 is the learned time length of the first course A1, t2 is the learned time length of the second course A2, t3 is the learned time length of the third course A3, and tn is the learned time length of the nth course An;
determining the learned time length ratio Tn/Tn of the nth course An according to the teaching total time length matrix T and the learned time length matrix T, wherein n =1,2,3,.. Once, n,
setting a first preset priority level X1, a second preset priority level X2, a third preset priority level X3, a fourth preset priority level X4 and a fifth preset priority level X5, wherein X1 is more than X2 is more than X3 is more than X4 is more than X5; setting a first preset learning time length ratio y1, a second preset learning time length ratio y2, a third preset learning time length ratio y3 and a fourth preset learning time length ratio y4, wherein y1 is more than 0 and less than y2 and less than y3 and less than y4 and less than 1;
determining the priority level of the nth course An according to the relationship between the learned duration ratio Tn/Tn of the nth course An and each preset learning duration ratio:
when Tn/Tn is less than y1, selecting the first preset priority level X1 as the priority level of the nth course An;
when y1 is not more than Tn/Tn is less than y2, selecting the second preset priority level X2 as the priority level of the nth course An;
when y2 is not more than Tn/Tn is less than y3, selecting the third preset priority level X3 as the priority level of the nth course An;
when y3 is not more than Tn/Tn is less than y4, selecting the fourth preset priority level X4 as the priority level of the nth course An;
when y4 is not more than Tn/Tn is less than 1, selecting the fifth preset priority level X5 as the priority level of the nth course An;
after the i preset priority Xi is selected as the priority of the n course An, i =1,2,3,4,5, the pre-push list [ A1-A2-A3- · -An ] is adjusted, the adjusted pre-push list is [ A1: xi-A2: xi-A3: xi- · -An: xi ], and the final push list is obtained by reordering according to the priority of each course, wherein the final push list is [ An: X1-An: X2-An: X3- · -An: X5], n =1,2,3,. And n.
Further, the prioritization module is further configured to, after obtaining the final push list [ An: X1-An: X2-An: X3-. -An: X5], include:
setting a first preset learning frequency B1, a second preset learning frequency B2, a third preset learning frequency B3 and a fourth preset learning frequency B4, wherein B1 is more than B2 and less than B3 and less than B4;
acquiring the learning frequency delta Bn of the nth course learned by the user within a preset time length, and adjusting the priority level of each course in the final push list according to the relation between the learning frequency delta Bn of the nth course and each preset learning frequency:
when the delta Bn is more than or equal to B1 and less than B2, the priority level of the nth course is improved by two levels;
when the delta Bn is more than or equal to B2 and less than B3, the priority level of the nth course is improved by one level;
when the delta Bn is more than or equal to B3 and less than B4, the priority level of the nth course is reduced by one level;
when B4 is less than or equal to delta Bn, the priority level of the nth course is reduced by two levels;
after the priority level of the nth course is increased by one or two levels, if the increased priority level is greater than the first preset priority level X1, setting the priority level of the nth course as the first preset priority level X1;
after the priority level of the nth course is reduced by one or two levels, if the reduced priority level is less than a fifth preset priority level X5, setting the priority level of the nth course as the fifth preset priority level X5;
and after the priority level of each course in the final push list is adjusted, each course in the final push list is reordered and then pushed.
Further, when obtaining the learning frequency Δ Bn of the nth course learned by the user within the preset time duration, the priority level determining module is further configured to:
setting a first preset time length S1, a second preset time length S2, a third preset time length S3 and a fourth preset time length S4, wherein S1 is more than S2 and more than S3 and more than S4; setting a first preset historical average score K1, a second preset historical average score K2, a third preset historical average score K3 and a fourth preset historical average score K4, wherein K1 is more than K2 and more than K3 and more than K4;
acquiring historical average scores delta K of first to nth courses A1 to An, and setting the time length of acquiring learning frequency delta Bn of the nth course according to the relation between the historical average scores delta L and each preset historical average score:
when the delta K is smaller than the K1, selecting the first preset time length S1 as the time length when the learning frequency delta Bn of the nth course is obtained;
when the delta K is more than or equal to K1 and less than K2, selecting the second preset time length S2 as the time length when the learning frequency delta Bn of the nth course is obtained;
when the delta K is more than or equal to K2 and less than K3, selecting the third preset time length S3 as the time length when the learning frequency delta Bn of the nth course is obtained;
when the delta K is more than or equal to K3 and less than K4, selecting the fourth preset time length S4 as the time length when the learning frequency delta Bn of the nth course is acquired;
and when the ith preset time length Si is selected as the time length when the learning frequency delta Bn of the nth course is acquired, acquiring the learning frequency delta Bn of the nth course learned by the user in the ith preset time length Si.
It can be understood that the course management system and method for the online education platform have the same advantages, and are not described herein again.
Drawings
Various additional advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flowchart of a course recommendation method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a user terminal interface provided in an embodiment of the present invention;
FIG. 3 is a functional block diagram of a course recommendation system according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
Referring to fig. 1, the embodiment provides a course management method for an online education platform according to the present invention, including:
step S1: and after the user logs in the online education platform, determining all courses which are not learned by the user, and acquiring the learned time length of each course.
Specifically, after a user logs in an online education platform, learning course information corresponding to the personal identity information of the user is acquired according to the personal identity information of the user, and all current unfinished learning courses of the user in the online education platform are acquired. After all the courses which are not learned by the user are acquired, the learned time length of each of the courses which are not learned is acquired. The learned duration is the duration that the user has learned a course in the online education platform.
Step S2: establishing a pre-push list according to the number of courses which are not learned and completed by the user and the learned time length of each course:
when the number of the courses which are not learned is smaller than the threshold value of the number of the courses, the pre-push list is not established;
and when the number of the courses which are not learned is larger than or equal to the threshold value of the number of the courses, establishing the pre-pushing list.
Specifically, the value range of the course number threshold is 1 to 3, that is, the course number threshold may be 1,2, or 3, and the course number threshold is determined according to the actual situation.
And step S3: the method comprises the steps of obtaining the total teaching time of each course, determining the ratio of the learned time of each course to the total teaching time, recording the ratio as the learned time ratio, and determining the priority level of each course according to the learned time ratio.
Specifically, the total teaching time length of each course is the total teaching time length of the course, that is, how many classes or hours the course needs to be completed. The learned duration ratio is the ratio between the learned duration and the total teaching duration of a certain course and is recorded as the learned duration/the total teaching duration.
And step S4: and adjusting the arrangement sequence of the courses in the pre-push list according to the priority, determining a final push list, and sequentially pushing the courses to the user according to the arrangement sequence of the courses in the final push list.
Specifically, after a user logs in an online education platform through a terminal and before the user starts to learn courses, popup reminding is performed on a course playing window, all the courses in a final push list are sequentially pushed to the user, when the user confirms that a first push course is played, subsequent popup reminding is cancelled, the first push course is played, when the user cancels playing of the first push course, popup reminding of a second push course is continued, and so on until all the courses in the final push list are pushed completely.
And when the users all select any one of the pushing courses, playing the pushing courses according to the courses selected by the users.
It can be understood that the method of the present embodiment focuses on pushing the courses to the user and forcing the user to learn a certain course, that is, the method of the present embodiment focuses on pushing the courses for reminding, and the user determines which course is to be selected for learning.
Specifically, the final push list is pushed to the user, after the user starts to learn the course, a first course currently learned by the user is determined, and after the user finishes learning the first course, whether the first course is located in the final push list is judged:
when the first in-study course is located in the final push list, removing the first in-study course from the final push list, and judging whether the first in-study course is located at the head of the final push list, if so, pushing a second course located in the final push list to the user, and if not, pushing the first course located in the final push list to the user;
and when the first course in study is not in the final push list, pushing the first two courses in the final push list to the user.
Specifically, when establishing the pre-push list according to the number of courses that the user does not complete learning and the learned time length of each course, the method includes:
determining the number Δ P of courses which are not learned and completed by the user and a threshold value P0 of the number of courses:
when the delta P is less than P0, the pre-pushing list is not established, and the curriculum with the least learning time length in the delta P curriculums is determined to be pushed to the user;
when the delta P is larger than or equal to P0, the learned time lengths of the delta P courses are respectively determined, the learned time lengths of the delta P courses are arranged from small to large to form a pre-push list, the pre-push list is [ A1-A2-A3-. An ], wherein A1 is a first course, A2 is a second course, A3 is a third course, an is An nth course, and the A1-An are arranged from small to large according to the learned time lengths.
Specifically, when the total teaching time length of each course is acquired, the learned time length ratio of each course is determined, and the priority level of each course is determined according to the learned time length ratio, the method includes:
after the total teaching time of each course is obtained, establishing a total teaching time matrix T, and setting T (T1, T2, T3,. And. Tn), wherein T1 is the total teaching time of a first course A1, T2 is the total teaching time of a second course A2, T3 is the total teaching time of a third course A3, and Tn is the total teaching time of An nth course An;
after the learned time length of each course is obtained, establishing a learned time length matrix t, and setting t (t 1, t2, t 3.. Once, tn), wherein t1 is the learned time length of the first course A1, t2 is the learned time length of the second course A2, t3 is the learned time length of the third course A3, and tn is the learned time length of the nth course An;
determining the learned time length ratio Tn/Tn of the nth course An according to the teaching total time length matrix T and the learned time length matrix T, wherein n =1,2,3., n,
setting a first preset priority level X1, a second preset priority level X2, a third preset priority level X3, a fourth preset priority level X4 and a fifth preset priority level X5, wherein X1 is more than X2 and more than X3 and more than X4 and more than X5; setting a first preset learning time length ratio y1, a second preset learning time length ratio y2, a third preset learning time length ratio y3 and a fourth preset learning time length ratio y4, wherein y1 is more than 0 and less than y2 and less than y3 and less than y4 and less than 1;
determining the priority level of the nth course An according to the relationship between the learned time length ratio Tn/Tn of the nth course An and each preset learning time length ratio:
when Tn/Tn is less than y1, selecting the first preset priority level X1 as the priority level of the nth course An;
when y1 is not more than Tn/Tn is less than y2, selecting the second preset priority level X2 as the priority level of the nth course An;
when y2 is not more than Tn/Tn is less than y3, selecting the third preset priority level X3 as the priority level of the nth course An;
when y3 is not more than Tn/Tn is less than y4, selecting the fourth preset priority level X4 as the priority level of the nth course An;
when y4 is not more than Tn/Tn is less than 1, selecting the fifth preset priority level X5 as the priority level of the nth course An;
after the i preset priority Xi is selected as the priority of the n course An, i =1,2,3,4,5, the pre-push list [ A1-A2-A3- · -An ] is adjusted, the adjusted pre-push list is [ A1: xi-A2: xi-A3: xi- · -An: xi ], and the final push list is obtained by reordering according to the priority of each course, wherein the final push list is [ An: X1-An: X2-An: X3- · -An: X5], n =1,2,3,. And n.
It can be seen that, by determining the priority level of the nth course An according to the relationship between the learned time length ratio Tn/Tn of the nth course An and each preset learning time length ratio, the setting of the priority level is prevented from being affected by different total teaching time lengths of each course, so that the priority level of each course can be accurately determined in the embodiment.
Specifically, after obtaining the final push list [ An: X1-An: X2-An: X3-. -An: X5], it comprises:
setting a first preset learning frequency B1, a second preset learning frequency B2, a third preset learning frequency B3 and a fourth preset learning frequency B4, wherein B1 is more than B2 and less than B3 and less than B4;
acquiring the learning frequency delta Bn of the nth course learned by the user within a preset time length, and adjusting the priority level of each course in the final push list according to the relation between the learning frequency delta Bn of the nth course and each preset learning frequency:
when the delta Bn is more than or equal to B1 and less than B2, the priority level of the nth course is improved by two levels;
when the delta Bn is more than or equal to B2 and less than B3, the priority level of the nth course is improved by one level;
when the delta Bn is more than or equal to B3 and less than B4, the priority level of the nth course is reduced by one level;
when B4 is less than or equal to delta Bn, the priority level of the nth course is reduced by two levels;
after the priority level of the nth course is increased by one or two levels, if the increased priority level is greater than the first preset priority level X1, setting the priority level of the nth course as the first preset priority level X1;
after the priority level of the nth course is reduced by one or two levels, if the reduced priority level is less than a fifth preset priority level X5, setting the priority level of the nth course as the fifth preset priority level X5;
and after the priority level of each course in the final push list is adjusted, each course in the final push list is reordered and then pushed.
Specifically, when acquiring the learning frequency Δ Bn of the nth course learned by the user within a preset time period, the method includes:
setting a first preset time length S1, a second preset time length S2, a third preset time length S3 and a fourth preset time length S4, wherein S1 is more than S2 and more than S3 and more than S4; setting a first preset historical average score K1, a second preset historical average score K2, a third preset historical average score K3 and a fourth preset historical average score K4, wherein K1 is more than K2 and more than K3 and more than K4;
acquiring historical average scores delta K of first to nth courses A1 to An, and setting the time length of acquiring learning frequency delta Bn of the nth course according to the relation between the historical average scores delta L and each preset historical average score:
when the delta K is smaller than the K1, selecting the first preset time length S1 as the time length for obtaining the learning frequency delta Bn of the nth course;
when the delta K is more than or equal to K1 and less than K2, selecting the second preset time length S2 as the time length when the learning frequency delta Bn of the nth course is obtained;
when the delta K is more than or equal to K2 and less than K3, selecting the third preset time length S3 as the time length when the learning frequency delta Bn of the nth course is obtained;
when the delta K is more than or equal to K3 and less than K4, selecting the fourth preset time length S4 as the time length when the learning frequency delta Bn of the nth course is acquired;
and when the ith preset time length Si is selected as the time length when the learning frequency delta Bn of the nth course is acquired, acquiring the learning frequency delta Bn of the nth course learned by the user in the ith preset time length Si.
It can be seen that, in the above embodiment, after a user logs in an online education platform, all classes that the user has not completed learning are determined, the learned duration of each class is obtained, a pre-push list is established according to the number of classes that the user has not completed learning and the learned duration of each class, the total teaching duration of each class is obtained, the ratio between the learned duration and the total learning duration of each class is determined and recorded as the learned duration ratio, the priority of each class is determined according to the learned duration ratio, a final push list is determined after the arrangement sequence of the classes in the pre-push list is adjusted according to the priority, and class pushing is performed to the user in sequence according to the arrangement sequence of the final push list. According to the method and the device, the course pushing is carried out according to the learning progress of each course which is not learned by the user, so that the user is reminded of the course with the slow learning progress in time, the user is effectively reminded of learning each course in a balanced manner, the user can know the course with the slow learning progress in time and learn in time, and the user can effectively learn each course in a balanced manner.
In another preferred implementation manner based on the above embodiment, as shown in fig. 3, the present implementation manner provides a course management system for an online education platform, including:
the time length obtaining module is used for determining all courses which are not learned by the user after the user logs in the online education platform and obtaining the learned time length of each course;
the pre-pushing list establishing module is used for establishing a pre-pushing list according to the number of courses which are not learned and completed by the user and the learned time length of each course:
when the number of the courses which are not learned is smaller than the threshold value of the number of the courses, the pre-push list is not established;
when the number of the courses which are not learned is larger than or equal to the threshold value of the number of the courses, establishing the pre-pushing list;
the priority level determining module is used for acquiring the total teaching time of each course, determining the ratio of the learned time of each course to the total teaching time, recording the ratio as the learned time ratio, and determining the priority level of each course according to the learned time ratio;
and the processing module is used for determining a final push list after adjusting the arrangement sequence of the courses in the pre-push list according to the priority level, and sequentially pushing the courses to the user according to the arrangement sequence of the courses in the final push list.
Specifically, the processing module is further configured to push the final push list to the user, determine a first course currently learned by the user after the user starts learning the course, and determine whether the first course is located in the final push list after the user completes learning the first course:
when the first in-study course is located in the final push list, removing the first in-study course from the final push list, and judging whether the first in-study course is located at the head of the final push list, if so, pushing a second course located in the final push list to the user, and if not, pushing the first course located in the final push list to the user;
and when the first school course is not in the final pushing list, pushing the first two courses in the final pushing list to the user.
Further, the pre-pushing list establishing module is further configured to, when establishing the pre-pushing list according to the number of courses that the user does not complete learning and the learned duration of each course, include:
determining the number Δ P of courses which are not learned and completed by the user and a threshold value P0 of the number of courses:
when the delta P is less than P0, the pre-pushing list is not established, and the curriculum with the least learning time length in the delta P curriculums is determined to be pushed to the user;
when the delta P is larger than or equal to P0, the learned time lengths of the delta P courses are respectively determined, the learned time lengths of the delta P courses are arranged from small to large to form a pre-push list, the pre-push list is [ A1-A2-A3-. An ], wherein A1 is a first course, A2 is a second course, A3 is a third course, an is An nth course, and the A1-An are arranged from small to large according to the learned time lengths.
Specifically, the priority determining module is further configured to, when acquiring a total teaching time length of each course, and determining a learned time length ratio of each course, determine a priority of each course according to the learned time length ratio, include:
after the total teaching time of each course is obtained, establishing a total teaching time matrix T, and setting T (T1, T2, T3,. And. Tn), wherein T1 is the total teaching time of a first course A1, T2 is the total teaching time of a second course A2, T3 is the total teaching time of a third course A3, and Tn is the total teaching time of An nth course An;
after the learned time length of each course is obtained, establishing a learned time length matrix t, and setting t (t 1, t2, t 3.. Once, tn), wherein t1 is the learned time length of the first course A1, t2 is the learned time length of the second course A2, t3 is the learned time length of the third course A3, and tn is the learned time length of the nth course An;
determining the learned time length ratio Tn/Tn of the nth course An according to the teaching total time length matrix T and the learned time length matrix T, wherein n =1,2,3,.. Once, n,
setting a first preset priority level X1, a second preset priority level X2, a third preset priority level X3, a fourth preset priority level X4 and a fifth preset priority level X5, wherein X1 is more than X2 and more than X3 and more than X4 and more than X5; setting a first preset learning time length ratio y1, a second preset learning time length ratio y2, a third preset learning time length ratio y3 and a fourth preset learning time length ratio y4, wherein y1 is more than 0 and less than y2 and less than y3 and less than y4 and less than 1;
determining the priority level of the nth course An according to the relationship between the learned time length ratio Tn/Tn of the nth course An and each preset learning time length ratio:
when Tn/Tn is less than y1, selecting the first preset priority level X1 as the priority level of the nth course An;
when y1 is not more than Tn/Tn is less than y2, selecting the second preset priority level X2 as the priority level of the nth course An;
when y2 is not more than Tn/Tn is less than y3, selecting the third preset priority level X3 as the priority level of the nth course An;
when y3 is not more than Tn/Tn is less than y4, selecting the fourth preset priority level X4 as the priority level of the nth course An;
when y4 is not more than Tn/Tn is less than 1, selecting the fifth preset priority level X5 as the priority level of the nth course An;
after the i preset priority Xi is selected as the priority of the n course An, i =1,2,3,4,5, the pre-push list [ A1-A2-A3- · -An ] is adjusted, the adjusted pre-push list is [ A1: xi-A2: xi-A3: xi- · -An: xi ], and the final push list is obtained by reordering according to the priority of each course, wherein the final push list is [ An: X1-An: X2-An: X3- · -An: X5], n =1,2,3,. And n.
Specifically, the prioritization module is further configured to, after obtaining the final push list [ An: X1-An: X2-An: X3-. -An: X5], include:
setting a first preset learning frequency B1, a second preset learning frequency B2, a third preset learning frequency B3 and a fourth preset learning frequency B4, wherein B1 is more than B2 and less than B3 and less than B4;
acquiring the learning frequency delta Bn of the nth course learned by the user within a preset time length, and adjusting the priority level of each course in the final push list according to the relation between the learning frequency delta Bn of the nth course and each preset learning frequency:
when the delta Bn is more than or equal to B1 and less than B2, the priority level of the nth course is improved by two levels;
when the delta Bn is more than or equal to B2 and less than B3, the priority level of the nth course is improved by one level;
when the delta Bn is more than or equal to B3 and less than B4, the priority level of the nth course is reduced by one level;
when B4 is less than or equal to delta Bn, the priority level of the nth course is reduced by two levels;
after the priority level of the nth course is increased by one or two levels, if the increased priority level is greater than the first preset priority level X1, setting the priority level of the nth course as the first preset priority level X1;
after the priority level of the nth course is reduced by one level or two levels, if the reduced priority level is less than a fifth preset priority level X5, setting the priority level of the nth course as the fifth preset priority level X5;
and after the priority level of each course in the final push list is adjusted, each course in the final push list is reordered and then pushed.
Specifically, when obtaining the learning frequency Δ Bn of the nth course learned by the user within the preset time duration, the priority level determining module is further configured to:
setting a first preset time length S1, a second preset time length S2, a third preset time length S3 and a fourth preset time length S4, wherein S1 is more than S2 and more than S3 and more than S4; setting a first preset historical average score K1, a second preset historical average score K2, a third preset historical average score K3 and a fourth preset historical average score K4, wherein K1 is more than K2 and more than K3 and more than K4;
acquiring historical average scores delta K of first to nth courses A1 to An, and setting the time length of acquiring learning frequency delta Bn of the nth course according to the relation between the historical average scores delta L and each preset historical average score:
when the delta K is smaller than the K1, selecting the first preset time length S1 as the time length when the learning frequency delta Bn of the nth course is obtained;
when the delta K is more than or equal to K1 and less than K2, selecting the second preset time length S2 as the time length when the learning frequency delta Bn of the nth course is obtained;
when the delta K is more than or equal to K2 and less than K3, selecting the third preset time length S3 as the time length when the learning frequency delta Bn of the nth course is obtained;
when the delta K is more than or equal to K3 and less than K4, selecting the fourth preset time length S4 as the time length when the learning frequency delta Bn of the nth course is acquired;
and when the ith preset time length Si is selected as the time length when the learning frequency delta Bn of the nth course is acquired, acquiring the learning frequency delta Bn of the nth course learned by the user in the ith preset time length Si.
It can be understood that, in the above embodiment, after a user logs in an online education platform, all classes that the user has not completed learning are determined, the learned duration of each class is obtained, a pre-push list is established according to the number of classes that the user has not completed learning and the learned duration of each class, the total teaching duration of each class is obtained, the ratio between the learned duration and the total learning duration of each class is determined and recorded as the learned duration ratio, the priority of each class is determined according to the learned duration ratio, a final push list is determined after the arrangement sequence of the classes in the pre-push list is adjusted according to the priority, and class pushing is performed to the user in sequence according to the arrangement sequence of the final push list. According to the method and the device, the course pushing is carried out according to the learning progress of each course which is not learned by the user, so that the user is reminded of the course with the slow learning progress in time, and is effectively reminded of learning each course uniformly, so that the user can know the course with the slow learning progress in time and learn in time, and the user can effectively learn each course uniformly.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (4)
1. A course management method for an online education platform, comprising:
after a user logs in an online education platform, determining all courses which are not learned by the user, and acquiring the learned time length of each course;
establishing a pre-push list according to the number of courses which are not learned and completed by the user and the learned time length of each course:
when the number of the courses which are not learned is smaller than the threshold value of the number of the courses, the pre-push list is not established;
when the number of the courses which are not learned is larger than or equal to the threshold value of the number of the courses, establishing the pre-pushing list;
acquiring the total teaching time length of each course, determining the ratio of the learned time length of each course to the total teaching time length, recording the ratio as the learned time length ratio, and determining the priority level of each course according to the learned time length ratio;
after the arrangement sequence of the courses in the pre-push list is adjusted according to the priority level, a final push list is determined, and the courses are pushed to the user in sequence according to the arrangement sequence of the courses in the final push list;
pushing the final pushing list to the user, determining a first current learning course currently learned by the user after the user starts course learning, and judging whether the first current learning course is located in the final pushing list after the user finishes the learning of the first current learning course:
when the first in-study course is located in the final push list, removing the first in-study course from the final push list, and judging whether the first in-study course is located at the head of the final push list, if so, pushing a second course located in the final push list to the user, and if not, pushing the first course located in the final push list to the user;
when the first school course is not in the final pushing list, pushing the first two courses in the final pushing list to the user;
when establishing a pre-push list according to the number of courses which are not learned by the user and the learned time length of each course, the method comprises the following steps:
determining the number Δ P of courses which are not learned and completed by the user and a threshold value P0 of the number of courses:
when the delta P is less than P0, the pre-pushing list is not established, and the curriculum with the least learning time length in the delta P curriculums is determined to be pushed to the user;
when the delta P is larger than or equal to P0, respectively determining the learned time lengths of the delta P courses, and arranging the learned time lengths of the delta P courses from small to large to form a pre-push list, wherein the pre-push list is [ A1-A2-A3-. An ], A1 is a first course, A2 is a second course, A3 is a third course, an is An nth course, and the A1-An are arranged from small to large according to the learned time lengths;
when the total teaching time length of each course is obtained, the learned time length ratio of each course is determined, and the priority level of each course is determined according to the learned time length ratio, the method comprises the following steps:
after the total teaching time of each course is obtained, establishing a total teaching time matrix T, and setting T (T1, T2, T3,. And. Tn), wherein T1 is the total teaching time of a first course A1, T2 is the total teaching time of a second course A2, T3 is the total teaching time of a third course A3, and Tn is the total teaching time of An nth course An;
after the learned time length of each course is obtained, establishing a learned time length matrix t, and setting t (t 1, t2, t 3.. Once, tn), wherein t1 is the learned time length of the first course A1, t2 is the learned time length of the second course A2, t3 is the learned time length of the third course A3, and tn is the learned time length of the nth course An;
determining the learned time length ratio Tn/Tn of the nth course An according to the teaching total time length matrix T and the learned time length matrix T, wherein n =1,2,3,.. Once, n,
setting a first preset priority level X1, a second preset priority level X2, a third preset priority level X3, a fourth preset priority level X4 and a fifth preset priority level X5, wherein X1 is more than X2 and more than X3 and more than X4 and more than X5; setting a first preset learning time length ratio y1, a second preset learning time length ratio y2, a third preset learning time length ratio y3 and a fourth preset learning time length ratio y4, wherein y1 is more than 0, y2 is more than y3, and y4 is less than 1;
determining the priority level of the nth course An according to the relationship between the learned time length ratio Tn/Tn of the nth course An and each preset learning time length ratio:
when Tn/Tn is less than y1, selecting the first preset priority level X1 as the priority level of the nth course An;
when y1 is not more than Tn/Tn is less than y2, selecting the second preset priority level X2 as the priority level of the nth course An;
when y2 is not more than Tn/Tn is less than y3, selecting the third preset priority level X3 as the priority level of the nth course An;
when y3 is not more than Tn/Tn is less than y4, selecting the fourth preset priority level X4 as the priority level of the nth course An;
when y4 is not more than Tn/Tn is less than 1, selecting the fifth preset priority level X5 as the priority level of the nth course An;
after An i =1,2,3,4,5 is selected as the priority level of the nth lesson An, the pre-push list [ A1-A2-A3- · -An ] is adjusted, the adjusted pre-push list is [ A1: xi-A2: xi-A3: xi- · -An: xi ], and the final push list is obtained by reordering according to the priority level of each lesson, and is [ An: X1-An: X2-An: X3- · -An: X5], n =1,2,3,.., n.
2. The course management method for An online education platform according to claim 1, further comprising, after obtaining the final push list [ An: X1-An: X2-An: X3- > -An: X5 ]:
setting a first preset learning frequency B1, a second preset learning frequency B2, a third preset learning frequency B3 and a fourth preset learning frequency B4, wherein B1 is more than B2 and less than B3 and less than B4;
acquiring the learning frequency delta Bn of the nth course learned by the user within a preset time length, and adjusting the priority level of each course in the final push list according to the relation between the learning frequency delta Bn of the nth course and each preset learning frequency:
when the delta Bn is more than or equal to B1 and less than B2, the priority level of the nth course is improved by two levels;
when the delta Bn is more than or equal to B2 and less than B3, the priority level of the nth course is improved by one level;
when the delta Bn is more than or equal to B3 and less than B4, the priority level of the nth course is reduced by one level;
when B4 is less than or equal to delta Bn, the priority level of the nth course is reduced by two levels;
after the priority level of the nth course is increased by one level or two levels, if the increased priority level is greater than the first preset priority level X1, the priority level of the nth course is set as the first preset priority level X1;
after the priority level of the nth course is reduced by one or two levels, if the reduced priority level is less than a fifth preset priority level X5, setting the priority level of the nth course as the fifth preset priority level X5;
and after the priority level of each course in the final push list is adjusted, each course in the final push list is reordered and then pushed.
3. The course management method for an online education platform as claimed in claim 2, wherein the step of obtaining the learning frequency Δ Bn of the nth course learned by the user within a preset time period comprises:
setting a first preset time length S1, a second preset time length S2, a third preset time length S3 and a fourth preset time length S4, wherein S1 is more than S2 and more than S3 and more than S4; setting a first preset historical average score K1, a second preset historical average score K2, a third preset historical average score K3 and a fourth preset historical average score K4, wherein K1 is more than K2 and more than K3 and more than K4;
acquiring historical average scores delta K of first courses A1 to nth courses An, and setting the duration of acquiring learning frequency delta Bn of the nth course according to the relation between the historical average scores delta L and each preset historical average score:
when the delta K is smaller than the K1, selecting the first preset time length S1 as the time length when the learning frequency delta Bn of the nth course is obtained;
when the delta K is more than or equal to K1 and less than K2, selecting the second preset time length S2 as the time length when the learning frequency delta Bn of the nth course is obtained;
when the delta K is more than or equal to K2 and less than K3, selecting the third preset time length S3 as the time length when the learning frequency delta Bn of the nth course is obtained;
when the delta K is more than or equal to K3 and less than K4, selecting the fourth preset time length S4 as the time length when the learning frequency delta Bn of the nth course is obtained;
and when the ith preset time length Si is selected as the time length when the learning frequency delta Bn of the nth course is acquired, acquiring the learning frequency delta Bn of the nth course learned by the user in the ith preset time length Si.
4. A course management system for an online education platform, comprising:
the time length obtaining module is used for determining all courses which are not learned by the user after the user logs in the online education platform and obtaining the learned time length of each course;
the pre-push list establishing module is used for establishing a pre-push list according to the number of courses which are not learned by the user and the learned duration of each course:
when the number of the courses which are not learned is smaller than the threshold value of the number of the courses, the pre-push list is not established;
when the number of the courses which are not learned is larger than or equal to the threshold of the number of the courses, establishing the pre-push list;
the priority level determination module is used for acquiring the total teaching time length of each course, determining the ratio of the learned time length of each course to the total teaching time length, recording the ratio as the learned time length ratio, and determining the priority level of each course according to the learned time length ratio;
the processing module is used for determining a final push list after adjusting the arrangement sequence of the courses in the pre-push list according to the priority level, and sequentially pushing the courses to the user according to the arrangement sequence of the courses in the final push list;
the processing module is further configured to push the final push list to the user, and after the user starts course learning, determine a first course currently being learned by the user, and after the user completes learning of the first course being learned, determine whether the first course being learned is located in the final push list:
when the first in-study course is located in the final push list, removing the first in-study course from the final push list, and judging whether the first in-study course is located at the head of the final push list, if so, pushing a second course located in the final push list to the user, and if not, pushing the first course located in the final push list to the user;
when the first school course is not in the final pushing list, pushing the first two courses in the final pushing list to the user;
the pre-pushing list establishing module is further configured to establish a pre-pushing list according to the number of courses that the user does not complete learning and the learned duration of each course, and includes:
determining the number Δ P of courses which are not learned and completed by the user and a threshold value P0 of the number of courses:
when the delta P is smaller than P0, the pre-pushing list is not established, and the curriculum with the minimum learning duration in the delta P curriculums is determined to be pushed to the user;
when the delta P is larger than or equal to P0, respectively determining the learned time lengths of the delta P courses, and arranging the learned time lengths of the delta P courses from small to large to form a pre-push list, wherein the pre-push list is [ A1-A2-A3-. An ], A1 is a first course, A2 is a second course, A3 is a third course, an is An nth course, and the A1-An are arranged from small to large according to the learned time lengths;
the priority level determining module is further configured to, when acquiring a total teaching time length of each course, determine a learned time length ratio of each course, and determine a priority level of each course according to the learned time length ratio, include:
after the total teaching time of each course is obtained, establishing a total teaching time matrix T, and setting T (T1, T2, T3,. And. Tn), wherein T1 is the total teaching time of a first course A1, T2 is the total teaching time of a second course A2, T3 is the total teaching time of a third course A3, and Tn is the total teaching time of An nth course An;
after the learned time length of each course is obtained, establishing a learned time length matrix t, and setting t (t 1, t2, t 3.. Once, tn), wherein t1 is the learned time length of the first course A1, t2 is the learned time length of the second course A2, t3 is the learned time length of the third course A3, and tn is the learned time length of the nth course An;
determining the learned time length ratio Tn/Tn of the nth course An according to the teaching total time length matrix T and the learned time length matrix T, wherein n =1,2,3,.. Once, n,
setting a first preset priority level X1, a second preset priority level X2, a third preset priority level X3, a fourth preset priority level X4 and a fifth preset priority level X5, wherein X1 is more than X2 and more than X3 and more than X4 and more than X5; setting a first preset learning time length ratio y1, a second preset learning time length ratio y2, a third preset learning time length ratio y3 and a fourth preset learning time length ratio y4, wherein y1 is more than 0 and less than y2 and less than y3 and less than y4 and less than 1;
determining the priority level of the nth course An according to the relationship between the learned duration ratio Tn/Tn of the nth course An and each preset learning duration ratio:
when Tn/Tn is less than y1, selecting the first preset priority level X1 as the priority level of the nth course An;
when y1 is not more than Tn/Tn is less than y2, selecting the second preset priority level X2 as the priority level of the nth course An;
when y2 is not more than Tn/Tn is less than y3, selecting the third preset priority level X3 as the priority level of the nth course An;
when y3 is not more than Tn/Tn is less than y4, selecting the fourth preset priority level X4 as the priority level of the nth course An;
when y4 is not more than Tn/Tn is less than 1, selecting the fifth preset priority level X5 as the priority level of the nth course An;
after An i =1,2,3,4,5 is selected as the priority level of the nth lesson An, the pre-push list [ A1-A2-A3- · -An ] is adjusted, the adjusted pre-push list is [ A1: xi-A2: xi-A3: xi- · -An: xi ], and the final push list is obtained by reordering according to the priority level of each lesson, and is [ An: X1-An: X2-An: X3- · -An: X5], n =1,2,3,.., n.
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