CN112102675A - Teaching progress based tutorial management system and working method thereof - Google Patents

Teaching progress based tutorial management system and working method thereof Download PDF

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CN112102675A
CN112102675A CN202011092141.2A CN202011092141A CN112102675A CN 112102675 A CN112102675 A CN 112102675A CN 202011092141 A CN202011092141 A CN 202011092141A CN 112102675 A CN112102675 A CN 112102675A
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CN112102675B (en
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张军瑾
倪哲宇
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Hetian Road Primary School Jing'an District Shanghai
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    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00Electrically-operated educational appliances
    • G09B5/08Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
    • G09B5/14Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

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Abstract

The invention discloses a course management system based on teaching progress and a working method thereof.A course server stores complete course data, and the course data comprises course data of a plurality of teaching stages and corresponding test data; the student client receives and displays the course data and the test data issued by the course server, receives feedback data submitted by students according to the test data, and sends the feedback data to the teacher client; the teacher client receives and displays the feedback data, and the teacher submits grading data according to the feedback data and sends the grading data to the course server; and the course server judges the teaching stage of the corresponding student client according to the grading data and issues course data and test data matched with the teaching stage to the student client. The invention has the advantage that courseware adaptive to the learning progress of students can be effectively issued aiming at the students with different learning speeds.

Description

Teaching progress based tutorial management system and working method thereof
Technical Field
The invention belongs to the technical field of teaching assistance, and particularly relates to a teaching course management system based on teaching progress and a working method thereof.
Background
With the development of teaching technology, electronic teaching solutions are increasingly applied in the teaching process, and the lecturer usually writes the teaching solutions in advance and stores the teaching solutions on the network. In the existing network teaching, course data is generally sent to students at one time or is sent to the students in sections. However, in the case of sending to students in one time, the requirement for network transmission is high. In the case of sending the courseware to students in sections, some students may have finished learning the courseware sent too early and can not continue to learn because the learning speeds of the students are different. Therefore, improvements are made to the online lesson scheme to accommodate both network transmission requirements and the progress of lessons by different students.
Disclosure of Invention
The invention aims to provide a teaching progress-based course management system and a working method thereof according to the defects of the prior art, and courseware adaptive to the learning progress of students with different learning speeds can be effectively issued by arranging a storage module, a first grading module and a second grading module.
The purpose of the invention is realized by the following technical scheme:
a teaching progress-based course management system comprises a plurality of student client sides which are respectively connected with a teacher client side and a course server, wherein the teacher client side is connected with the course server;
the course server stores complete course data, wherein the course data comprises course data of a plurality of teaching stages and corresponding test data;
the student client is used for receiving and displaying the course data and the test data sent by the course server, receiving feedback data submitted by students according to the test data, and sending the feedback data to the teacher client;
the teacher client is used for receiving and displaying the feedback data, and a teacher submits grading data according to the feedback data and sends the grading data to the course server;
the course server is used for judging the corresponding teaching stage of the student client according to the grading data and issuing the course data and the test data matched with the teaching stage to the student client.
The course server includes:
the teaching course storage module is used for storing all teaching course data and the teaching sequence of each teaching stage;
the first grading module is connected with the teacher client and the course storage module and used for judging whether the corresponding student client grasps the current course data or not according to the grading data, and if so, the course data and the test data of the next teaching stage are sent to the corresponding student client;
and the second grading module is connected with the student client, the first grading module and the course storage module and used for receiving and calculating the average value of a plurality of grading data of the same student client, and if the average value is higher than a preset value, the course data and the test data of the next two teaching stages are sent to the corresponding student clients.
The course storage module comprises:
the database stores a plurality of course data and the corresponding test data;
the course compiling unit is connected with the database and is used for compiling course data according to teaching requirements and dividing the course data into a plurality of levels, each level comprises a plurality of course data, and the course data of the next level corresponds to one course data in the previous level;
and the sequence compiling unit is connected with the course compiling unit and used for sequencing the course data in the course data and defining the teaching stage according to the sequencing result.
The sequence compiling unit includes:
the type selector is used for receiving the sorting type selected by the lecturer, and the sorting type comprises transverse sorting and longitudinal sorting;
the horizontal sequencer is connected with the type selector and is used for sequencing the course data of the same level when the sequencing type is horizontal sequencing and sequencing the course data of different levels according to the sequence of the levels from top to bottom;
and the longitudinal sequencer is connected with the type selector and is used for sequencing the course data of the same level when the sequencing type is longitudinal sequencing, taking the first course data of the uppermost level as the first course data, and sequencing the corresponding relation of the course data between the upper level and the lower level.
A working method of any one of the above teaching progress-based course management systems, where a course server stores complete course data, where the course data includes course data of a plurality of teaching phases and corresponding test data, the working method includes the following steps:
step 1: the course server sends the course data and the test data of the first teaching stage to a student client;
step 2: the student client receives and displays the course data and the test data sent by the course server;
and step 3: the student client receives feedback data submitted by students according to the test data, and sends the feedback data to the teacher client;
and 4, step 4: the teacher client receives and displays the feedback data, a teacher submits grading data to the teacher client according to the feedback data, and the teacher client sends the grading data to the course server;
and 5: and the course server judges the corresponding teaching stage of the student client according to the grading data, issues the course data and the test data matched with the teaching stage to the student client, and returns to the step 2 until the course data is completely issued.
The course storage module in the course server stores all course data and the teaching sequence of each teaching stage; the step of issuing the course data and the test data to the student client comprises the following steps: judging whether the corresponding student client side grasps the current course data or not by adopting a first grading module according to the grading data, and if so, sending the course data and the test data of the next teaching stage to the corresponding student client side; and a second grading module is adopted to receive and calculate the average value of a plurality of grading data of the same student client, and if the average value is higher than a preset value, the course data and the test data of the next two teaching stages are sent to the corresponding student client.
A database in the course storage module stores a plurality of course data and the corresponding test data; the course data is compiled by the following steps: a course compiling unit is adopted to compile course data according to teaching requirements, the course data are divided into a plurality of levels, each level comprises a plurality of course data, and a plurality of course data of the next level correspond to one course data in the previous level; and sequencing the course data in the course data by adopting a sequence compiling unit and defining the teaching stage according to a sequencing result.
The step of sequencing the course data in the course data comprises the following steps:
step A: receiving the sorting type selected by the lecturer by adopting a type selector, entering a step B if the sorting type is horizontal sorting, and entering a step C if the sorting type is vertical sorting;
and B: sorting the course data of the same level by adopting a transverse sorter, and then sorting the course data of different levels according to the level sequence from top to bottom;
and C: and sequencing the course data of the same level by adopting a longitudinal sequencer, taking the first course data of the uppermost level as the first course data, and sequencing the course data according to the corresponding relation between the upper level and the lower level.
The sorting by the vertical sorter comprises the following steps: sorting the course data of the same level, wherein the first course data of the uppermost level is taken as the first course data;
executing the following operations on each course data in sequence from the first course data:
step C1: judging whether the course data has the corresponding course data in the next level, if so, entering a step C2, otherwise, entering a step C3;
step C2: taking the corresponding first course data in the next level as the next course data of the current course data, and entering step C7;
step C3: judging whether the curriculum data of the curriculum data in the level of the current curriculum data is sorted after the current curriculum data and is in the same level with the current curriculum data, if so, entering a step C6, otherwise, entering a step C4;
step C4; taking the curriculum data corresponding to the current curriculum data in the previous level as the current curriculum data, and judging whether the level of the current curriculum data is the uppermost level, if so, entering the step C5; if not, returning to the step C3;
step C5: judging whether the curriculum data sequenced after the current curriculum data exist in the level of the current curriculum data, if so, entering a step C7, otherwise, ending;
step C6: taking the course data ranked after the current course data as the next course data of the current course data, proceeding to step C7;
step C7: and returning to the step C1 by taking the next course data as the current course data.
The invention has the advantages that: the courseware adaptive to the learning progress of the students can be effectively issued aiming at the students with different learning speeds; the automatic chapter sequencing can be carried out on courseware, so that the courseware management efficiency is improved; the required wire speed for transmitting courseware over the network can be reduced.
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FIG. 1 is a schematic structural diagram of a tutorial management system based on teaching progress in an embodiment of the present invention;
FIG. 2 is a block diagram of a course server according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating a hierarchical structure of course data according to an embodiment of the present invention.
Detailed Description
The features of the present invention and other related features are described in further detail below by way of example in conjunction with the following drawings to facilitate understanding by those skilled in the art:
referring to fig. 1-2, the labels in the figure are: the teaching course comprises a course server 1, a teacher client 2, a student client 3, a course storage module 4, a first grading module 5, a second grading module 6, an uppermost level, a middle level 8 and a lowermost level 9.
Example (b): as shown in fig. 1-2, the present embodiment specifically relates to a tutorial management system based on teaching progress and a working method thereof, and by setting a storage module, a first scoring module 5, and a second scoring module 6, courseware adapted to the learning progress of students can be effectively issued for students with different learning speeds.
As shown in fig. 1, the tutor management system based on teaching progress in this embodiment includes a plurality of student clients 3 respectively connected to a teacher client 2 and a course server 1, where the teacher client 2 is connected to the course server 1; the course server 1 stores complete course data, wherein the course data comprises course data of a plurality of teaching stages and corresponding test data; the student client 3 is used for receiving and displaying the course data and the test data sent by the course server 1, receiving feedback data submitted by students according to the test data, and sending the feedback data to the teacher client 2; the teacher client 2 is used for receiving and displaying the feedback data, and the teacher submits grading data according to the feedback data and sends the grading data to the course server 1; the course server 1 is used for judging the teaching stage of the corresponding student client 3 according to the grading data, and issuing course data and test data matched with the teaching stage to the student client 3.
In this embodiment, the student client 3 receives and displays the course data and the test data, and the student learns through the course data, tests through the test data, and sends the test result to the teacher client 2 in the form of feedback data. The teacher corrects the feedback data, namely the test result, on the teacher client 2, judges whether the student grasps the current course data, and transfers the correction result to the course server 1 in the form of score data, and the course server 1 issues new course data and test data to the student client 3 through the score data. Through the scheme, the student client 3 does not need to download complete course data at one time, and the course data of the corresponding part can be downloaded according to the learning progress of different student clients 3, so that the pressure of data transmission is reduced.
As shown in fig. 2, in the present embodiment, the lesson server 1 includes: the teaching course storage module 4, the first scoring module 5 and the second scoring module 6. The teaching course storage module 4 is used for storing all teaching course data and the teaching sequence of each teaching stage; the first grading module 5 is connected with the teacher client 2 and the course storage module 4 and used for judging whether the corresponding student client 3 masters the current course data according to the grading data, and if so, the course data and the test data of the next teaching stage are sent to the corresponding student client 3; and the second grading module 6 is connected with the student client 3, the first grading module 5 and the course storage module 4, and is used for receiving and calculating an average value of a plurality of grading data of the same student client 3, and if the average value is higher than a preset value, the course data and the test data of the next two teaching stages are sent to the corresponding student client 3.
As shown in fig. 2, in this embodiment, the course storage module 4 issues courses of different progresses to the student according to the analysis results of the first scoring module 5 and the second scoring module 6. The first grading module 5 directly judges whether the current course of the student client 3 is mastered, judges whether the current course data is mastered by adopting a mode of marking a qualified line under the condition that the grading data is a score, and issues the course data of the next stage to the student client 3 after the current course of the student client 3 is mastered, so that the student can be ensured to carry out coherent learning on the student client 3. The second scoring module 6 needs to analyze and calculate according to scoring data for many times, whether the corresponding student client 3 has higher learning efficiency or not can be judged by comparing with a preset value, if so, course data of two teaching stages are issued at one time, the student client 3 having higher learning efficiency can learn the course data of one teaching stage in advance, and the above scheme can enable the student client 3 to adapt to students with different learning efficiencies.
The course storage module 4 includes: the database stores a plurality of course data and corresponding test data; the course compiling unit is connected with the database and is used for compiling course data according to teaching requirements and dividing the course data into a plurality of levels, each level comprises a plurality of course data, and the course data of the next level corresponds to one course data in the previous level; and the sequence compiling unit is connected with the course compiling unit and used for sequencing the course data in the course data and defining the teaching stage according to the sequencing result. By the course programming unit and the sequence programming unit, courses with different contents and learning sequences can be set according to the actual classroom requirements, and the course programming efficiency is improved.
In this embodiment, the sequential programming unit includes: the type selector is used for receiving the sorting type selected by the lecturer, and the sorting type comprises transverse sorting and longitudinal sorting; the horizontal sequencer is connected with the type selector and is used for sequencing the course data of the same level firstly and then sequencing the course data of different levels in the level sequence from top to bottom when the sequencing type is horizontal sequencing; and the longitudinal sequencer is connected with the type selector and is used for sequencing the course data of the same level when the sequencing type is longitudinal sequencing, taking the first course data of the uppermost level as the first course data, and sequencing the course data according to the corresponding relation between the upper level and the lower level. The course data is firstly compiled into a hierarchical structure by the course compiling unit, and the sequence compiling unit sets the sequence of courses according to the transverse sequencing mode and the longitudinal sequencing mode respectively
As shown in FIG. 3, the course preparation unit prepares the course into 3 levels, wherein the uppermost level 7 includes course data A-B, the middle level 8 includes course data C-F, and the lowermost level 9 includes course data G-L. The sequence of the course data in the course sequenced by the transverse sequencer is ABCDEFGHIJKL, and the sequence of the course data in the course sequenced by the longitudinal sequencer is ACGHDIEJBFKL.
The working method of the tutorial management system based on the teaching progress in the embodiment comprises the following steps: step 1: the course server 1 sends course data and test data of a first teaching stage to the student client 3; step 2: the student client 3 receives and displays the course data and the test data sent by the course server 1; and step 3: the student client 3 receives feedback data submitted by students according to the test data and sends the feedback data to the teacher client 2; and 4, step 4: the teacher client 2 receives and displays the feedback data, the teacher submits grading data to the teacher client 2 according to the feedback data, and the teacher client 2 sends the grading data to the course server 1; and 5: the course server 1 judges the teaching stage of the corresponding student client 3 according to the grading data, issues course data and test data matched with the teaching stage to the student client 3, and returns to the step 2 until all course data are issued.
A course storage module 4 in the course server 1 stores all course data and the teaching sequence of each teaching stage; the step of issuing the course data and the test data to the student client 3 comprises the following steps: judging whether the corresponding student client 3 grasps the current course data or not by adopting a first grading module 5 according to the grading data, and if so, sending the course data and the test data of the next teaching stage to the corresponding student client 3; and the second grading module 6 is adopted to receive and calculate the average value of a plurality of grading data of the same student client 3, and if the average value is higher than a preset value, the course data and the test data of the next two teaching stages are sent to the corresponding student client 3.
A database in the course storage module 4 stores a plurality of course data and corresponding test data; the course data preparation method comprises the following steps: the teaching course data are compiled by adopting a teaching course compiling unit according to teaching requirements, the teaching course data are divided into a plurality of levels, each level comprises a plurality of course data, and a plurality of course data of the next level correspond to one course data in the previous level; and sequencing the course data in the course data by adopting a sequence compiling unit and defining a teaching stage according to a sequencing result.
The step of sequencing the course data in the course data comprises the following steps:
step A: receiving the sorting type selected by the lecturer by adopting a type selector, entering a step B if the sorting type is horizontal sorting, and entering a step C if the sorting type is vertical sorting;
and B: the course data of the same level are sorted by adopting a transverse sorter, and then the course data of different levels are sorted in the order of the levels from top to bottom;
and C: the course data of the same level are sorted by adopting a longitudinal sorter, the first course data of the uppermost level is taken as the first course data, and then the corresponding relation of the course data between the upper level and the lower level is used for sorting.
The sorting by the vertical sorter comprises the following steps: sequencing the course data of the same level, and taking the first course data of the uppermost level as the first course data;
the following operations are performed for each piece of the course data in turn from the first piece of the course data:
step C1: judging whether the course data has corresponding course data in the next level, if so, entering the step C2, otherwise, entering the step C3;
step C2: taking the corresponding first course data in the next level as the next course data of the current course data, and entering step C7;
step C3: judging whether the current course data is in the level of the current course data or not, wherein the current course data is the course data of the course data in the previous level which is sequenced behind the current course data and is the same as the current course data, if so, entering the step C6, otherwise, entering the step C4;
step C4; taking the course data corresponding to the current course data in the previous level as the current course data, and judging whether the level of the current course data is the uppermost level, if so, entering the step C5; if not, returning to the step C3;
step C5: judging whether the current course data has the course data sequenced after the current course data in the level, if so, entering the step C7, otherwise, ending;
step C6: taking the lesson data ranked after the current lesson data as next lesson data of the current lesson data, proceeding to step C7;
step C7: the next course data is returned to step C1 as the current course data.
The embodiment has the following advantages: the courseware adaptive to the learning progress of the students can be effectively issued aiming at the students with different learning speeds; the automatic chapter sequencing can be carried out on courseware, so that the courseware management efficiency is improved; the required wire speed for transmitting courseware over the network can be reduced.

Claims (9)

1. A tutorial management system based on teaching progress is characterized by comprising a plurality of student client sides which are respectively connected with a teacher client side and a course server, wherein the teacher client side is connected with the course server;
the course server stores complete course data, wherein the course data comprises course data of a plurality of teaching stages and corresponding test data;
the student client is used for receiving and displaying the course data and the test data sent by the course server, receiving feedback data submitted by students according to the test data, and sending the feedback data to the teacher client;
the teacher client is used for receiving and displaying the feedback data, and a teacher submits grading data according to the feedback data and sends the grading data to the course server;
the course server is used for judging the corresponding teaching stage of the student client according to the grading data and issuing the course data and the test data matched with the teaching stage to the student client.
2. The system of claim 1, wherein the course server comprises:
the teaching course storage module is used for storing all teaching course data and the teaching sequence of each teaching stage;
the first grading module is connected with the teacher client and the course storage module and used for judging whether the corresponding student client grasps the current course data or not according to the grading data, and if so, the course data and the test data of the next teaching stage are sent to the corresponding student client;
and the second grading module is connected with the student client, the first grading module and the course storage module and used for receiving and calculating the average value of a plurality of grading data of the same student client, and if the average value is higher than a preset value, the course data and the test data of the next two teaching stages are sent to the corresponding student clients.
3. The tutorial progress-based tutorial management system of claim 1, wherein the tutorial storage module comprises:
the database stores a plurality of course data and the corresponding test data;
the course compiling unit is connected with the database and is used for compiling course data according to teaching requirements and dividing the course data into a plurality of levels, each level comprises a plurality of course data, and the course data of the next level corresponds to one course data in the previous level;
and the sequence compiling unit is connected with the course compiling unit and used for sequencing the course data in the course data and defining the teaching stage according to the sequencing result.
4. The tutorial progress-based tutorial management system of claim 3, wherein the sequencing unit comprises:
the type selector is used for receiving the sorting type selected by the lecturer, and the sorting type comprises transverse sorting and longitudinal sorting;
the horizontal sequencer is connected with the type selector and is used for sequencing the course data of the same level when the sequencing type is horizontal sequencing and sequencing the course data of different levels according to the sequence of the levels from top to bottom;
and the longitudinal sequencer is connected with the type selector and is used for sequencing the course data of the same level when the sequencing type is longitudinal sequencing, taking the first course data of the uppermost level as the first course data, and sequencing the corresponding relation of the course data between the upper level and the lower level.
5. A working method related to the course management system based on teaching progress as claimed in any one of claims 1-4, wherein the course server stores complete course data, the course data includes course data of several teaching stages and corresponding test data, the working method includes the following steps:
step 1: the course server sends the course data and the test data of the first teaching stage to a student client;
step 2: the student client receives and displays the course data and the test data sent by the course server;
and step 3: the student client receives feedback data submitted by students according to the test data, and sends the feedback data to the teacher client;
and 4, step 4: the teacher client receives and displays the feedback data, a teacher submits grading data to the teacher client according to the feedback data, and the teacher client sends the grading data to the course server;
and 5: and the course server judges the corresponding teaching stage of the student client according to the grading data, issues the course data and the test data matched with the teaching stage to the student client, and returns to the step 2 until the course data is completely issued.
6. The method as claimed in claim 5, wherein the course storage module of the course server stores all the course data and the teaching sequence of each teaching phase; the step of issuing the course data and the test data to the student client comprises the following steps: judging whether the corresponding student client side grasps the current course data or not by adopting a first grading module according to the grading data, and if so, sending the course data and the test data of the next teaching stage to the corresponding student client side; and a second grading module is adopted to receive and calculate the average value of a plurality of grading data of the same student client, and if the average value is higher than a preset value, the course data and the test data of the next two teaching stages are sent to the corresponding student client.
7. The method as claimed in claim 5, wherein the course data and the corresponding test data are stored in a database of the course storage module; the course data is compiled by the following steps: a course compiling unit is adopted to compile course data according to teaching requirements, the course data are divided into a plurality of levels, each level comprises a plurality of course data, and a plurality of course data of the next level correspond to one course data in the previous level; and sequencing the course data in the course data by adopting a sequence compiling unit and defining the teaching stage according to a sequencing result.
8. The method as claimed in claim 7, wherein the step of ordering the course data comprises the steps of:
step A: receiving the sorting type selected by the lecturer by adopting a type selector, entering a step B if the sorting type is horizontal sorting, and entering a step C if the sorting type is vertical sorting;
and B: sorting the course data of the same level by adopting a transverse sorter, and then sorting the course data of different levels according to the level sequence from top to bottom;
and C: and sequencing the course data of the same level by adopting a longitudinal sequencer, taking the first course data of the uppermost level as the first course data, and sequencing the course data according to the corresponding relation between the upper level and the lower level.
9. The method of claim 8, wherein the step of ranking by the vertical ranker comprises the steps of: sorting the course data of the same level, wherein the first course data of the uppermost level is taken as the first course data;
executing the following operations on each course data in sequence from the first course data:
step C1: judging whether the course data has the corresponding course data in the next level, if so, entering a step C2, otherwise, entering a step C3;
step C2: taking the corresponding first course data in the next level as the next course data of the current course data, and entering step C7;
step C3: judging whether the curriculum data of the curriculum data in the level of the current curriculum data is sorted after the current curriculum data and is in the same level with the current curriculum data, if so, entering a step C6, otherwise, entering a step C4;
step C4; taking the curriculum data corresponding to the current curriculum data in the previous level as the current curriculum data, and judging whether the level of the current curriculum data is the uppermost level, if so, entering the step C5; if not, returning to the step C3;
step C5: judging whether the curriculum data sequenced after the current curriculum data exist in the level of the current curriculum data, if so, entering a step C7, otherwise, ending;
step C6: taking the course data ranked after the current course data as the next course data of the current course data, proceeding to step C7;
step C7: and returning to the step C1 by taking the next course data as the current course data.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114267214A (en) * 2021-12-31 2022-04-01 山西寰烁电子科技股份有限公司 Cloud education resource custom approval distribution method and system

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004170842A (en) * 2002-11-22 2004-06-17 Maomi Ueno Degree of comprehension judgement system for judging degree of comprehension of learner and participant based on test result
CN1808522A (en) * 2005-12-30 2006-07-26 上海市闸北区和田路小学 Virtual creative education method
CN104504949A (en) * 2014-12-19 2015-04-08 江苏开放大学 Remote education information platform system
CN104952012A (en) * 2015-06-15 2015-09-30 刘汉平 Method, server and system for carrying out individualized teaching and guiding
CN105718546A (en) * 2016-01-18 2016-06-29 浙江工商大学 Statistical processing method and system of usual achievements in SPOC (Small Private Online Course) platform
CN105957409A (en) * 2016-04-25 2016-09-21 北京葡萄藤信息技术有限公司 Automatic teaching method and automatic teaching platform based on task allocation
CN106297454A (en) * 2016-09-07 2017-01-04 苏州国锦智承信息科技有限公司 A kind of mobile classroom interaction teaching system
CN107248341A (en) * 2017-08-11 2017-10-13 兰州大学 Geographical practice teaching system, method and device
CN107516283A (en) * 2016-06-16 2017-12-26 柳荣奎 The matching system and method for learned lesson
CN107742451A (en) * 2017-11-03 2018-02-27 合肥亚慕信息科技有限公司 A kind of interactive quiz answer system based on Online class
CN110046804A (en) * 2019-03-29 2019-07-23 广州恒智教育科技有限公司 A kind of education training method and system based on student's classification
CN110351156A (en) * 2018-04-03 2019-10-18 大唐移动通信设备有限公司 A kind of test method and device
CN110543572A (en) * 2019-08-26 2019-12-06 杭州奇迹在线科技有限公司 learning cognitive path generation method based on cognitive map

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004170842A (en) * 2002-11-22 2004-06-17 Maomi Ueno Degree of comprehension judgement system for judging degree of comprehension of learner and participant based on test result
CN1808522A (en) * 2005-12-30 2006-07-26 上海市闸北区和田路小学 Virtual creative education method
CN104504949A (en) * 2014-12-19 2015-04-08 江苏开放大学 Remote education information platform system
CN104952012A (en) * 2015-06-15 2015-09-30 刘汉平 Method, server and system for carrying out individualized teaching and guiding
CN105718546A (en) * 2016-01-18 2016-06-29 浙江工商大学 Statistical processing method and system of usual achievements in SPOC (Small Private Online Course) platform
CN105957409A (en) * 2016-04-25 2016-09-21 北京葡萄藤信息技术有限公司 Automatic teaching method and automatic teaching platform based on task allocation
CN107516283A (en) * 2016-06-16 2017-12-26 柳荣奎 The matching system and method for learned lesson
CN106297454A (en) * 2016-09-07 2017-01-04 苏州国锦智承信息科技有限公司 A kind of mobile classroom interaction teaching system
CN107248341A (en) * 2017-08-11 2017-10-13 兰州大学 Geographical practice teaching system, method and device
CN107742451A (en) * 2017-11-03 2018-02-27 合肥亚慕信息科技有限公司 A kind of interactive quiz answer system based on Online class
CN110351156A (en) * 2018-04-03 2019-10-18 大唐移动通信设备有限公司 A kind of test method and device
CN110046804A (en) * 2019-03-29 2019-07-23 广州恒智教育科技有限公司 A kind of education training method and system based on student's classification
CN110543572A (en) * 2019-08-26 2019-12-06 杭州奇迹在线科技有限公司 learning cognitive path generation method based on cognitive map

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
卢加元: ""MOOC课程平台的设计与实现"", 《中国教育信息化》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114267214A (en) * 2021-12-31 2022-04-01 山西寰烁电子科技股份有限公司 Cloud education resource custom approval distribution method and system

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