CN110751861A - Network remote education system based on cloud platform - Google Patents
Network remote education system based on cloud platform Download PDFInfo
- Publication number
- CN110751861A CN110751861A CN201911192047.1A CN201911192047A CN110751861A CN 110751861 A CN110751861 A CN 110751861A CN 201911192047 A CN201911192047 A CN 201911192047A CN 110751861 A CN110751861 A CN 110751861A
- Authority
- CN
- China
- Prior art keywords
- data
- learning
- answer
- module
- exercise
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012795 verification Methods 0.000 claims abstract description 46
- 238000004458 analytical method Methods 0.000 claims abstract description 22
- 238000012544 monitoring process Methods 0.000 claims abstract description 15
- 238000000034 method Methods 0.000 claims description 21
- 238000004364 calculation method Methods 0.000 claims description 15
- 230000007423 decrease Effects 0.000 claims description 7
- 244000241872 Lycium chinense Species 0.000 claims description 6
- 235000015468 Lycium chinense Nutrition 0.000 claims description 6
- 230000009191 jumping Effects 0.000 claims description 6
- 101000878595 Arabidopsis thaliana Squalene synthase 1 Proteins 0.000 claims description 3
- 101000642811 Oryza sativa subsp. indica Soluble starch synthase 1, chloroplastic/amyloplastic Proteins 0.000 claims description 3
- 230000002040 relaxant effect Effects 0.000 claims description 3
- 239000013589 supplement Substances 0.000 abstract description 2
- 230000002349 favourable effect Effects 0.000 description 2
- 230000004308 accommodation Effects 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/02—Electrically-operated educational appliances with visual presentation of the material to be studied, e.g. using film strip
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/36—User authentication by graphic or iconic representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- Computer Security & Cryptography (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Computer Hardware Design (AREA)
- Economics (AREA)
- Primary Health Care (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Human Resources & Organizations (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Electrically Operated Instructional Devices (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a network remote education system based on a cloud platform, which comprises a login module, a comparison unit, a database, a learning module, an analysis module, an entertainment module, a monitoring module, a learning feedback module, an intelligent device and an achievement storage module, wherein the login module is used for logging in account information of a user, the account information comprises account data, password data and verification image data, the login module transmits the account data and the password data input by the user to the comparison unit, and effective account data, effective password data, effective verification image data and mobile phone number data are stored in the database. Supplement each other and provide power for the user to learn.
Description
Technical Field
The invention relates to the technical field of network remote education, in particular to a network remote education system based on a cloud platform.
Background
Distance education, also called modern distance education as network education, is one of adult education calendars, refers to a teaching mode using transmission media such as televisions, internet and the like, breaks through the boundary line of time and space, is different from the traditional teaching mode in school accommodation, students using the teaching mode are usually amateur repairments, can attend classes at any time and any place because of not needing to attend classes in specific places, and can also attend to learning through various different pipelines such as television broadcasting, internet, guidance lines, lessons, face-to-face teaching and the like, thereby being a new concept generated after the modern information technology is applied to education and providing the opportunity of improving the calendars for vast masses who have stepped into the society.
A network distance education system with the notice number of CN206058583U can enable information sharing among an information system, a distance education system, a courseware making system and an education receiving unit through a network, is favorable for improving network security due to the arrangement of a firewall, is favorable for managing the distance education system due to the fact that monitors are arranged in the information system, the distance education system and the courseware making system, but the network distance education system cannot realize the setting of one account by one person, cannot guarantee the security of the account, cannot accurately analyze learning data, cannot complement with entertainment in a learning mode, and accordingly is low in learning efficiency.
Disclosure of Invention
The invention aims to provide a cloud platform-based network remote education system, account information of a user is logged in through a login module, a comparison unit compares the account data, password data, valid account data, valid password data, verification image data, valid verification image data and mobile phone number data to perform safe login, a management unit acquires management data and transmits the management data to an analysis module, the analysis module is used for analyzing reading time data, exercise total time data, video exercise time data, answer-to-question data and wrong-answer-question data to perform accurate analysis on the data, the monitoring module is used for monitoring the entertainment time data of the user in the entertainment module in real time, the learning feedback module is used for analyzing the entertainment time data, the entertainment grade, the answer correct rate and the exercise time data, and generating a related signal, transmitting the related signal to the intelligent equipment, and sending a reminding signal by the intelligent equipment.
The technical problem to be solved by the invention is as follows:
(1) how to log in the account information of the user through the setting of the login module and carry out multiple verification on the account information in the comparison unit according to the password data, the verification image data and the mobile phone number data, so that the problem that the multiple guarantee of the account is difficult to realize in the prior art is solved;
(2) how to provide online learning for a user through the arrangement of a learning module, acquire learning data of the user, and analyze the learning data in an analysis module so as to calculate achievement values and related learning data, thereby solving the problem that the learning data is difficult to accurately analyze in the prior art;
(3) how to set the entertainment grade through the setting of the entertainment module makes the user utilize the achievement value to exchange corresponding entertainment projects, and analyzes the total result of entertainment and learning in the learning feedback module, makes the entertainment and learning become a whole, solves the problem that learning and entertainment are difficult to realize and cooperate with each other in the prior art.
The purpose of the invention can be realized by the following technical scheme: a network remote education system based on a cloud platform comprises a login module, a comparison unit, a database, a learning module, an analysis module, an entertainment module, a monitoring module, a learning feedback module, intelligent equipment and a achievement storage module;
the login module is used for logging in account information of a user, the account information comprises account data, password data and verification image data, the login module transmits the account data and the password data input by the user to the comparison unit, and the database stores valid account data, valid password data, valid verification image data and mobile phone number data and transmits the valid account data, the valid password data, the valid verification image data and the mobile phone number data to the comparison unit;
the comparison unit is used for comparing the account number data, the password data, the valid account number data, the valid password data, the verification image data, the valid verification image data and the mobile phone number data to obtain a login success signal and a login failure signal;
the learning module comprises a reading unit, a question bank exercise unit, a video explanation unit and a management unit, wherein the management unit acquires management data, and the management data comprises reading time data, question practice time data, total question practice time data, video question practice time data, right question answering data and wrong question answering data and is transmitted to the analysis module;
the analysis module is used for analyzing the reading time data, the exercise total time data, the video exercise time data, the answer to question data and the wrong answer data to obtain achievement values, answer correct rates, answer error rates, actual learning time and standard learning time, and transmitting the achievement values, the exercise time data and the answer correct rates to the achievement storage module for storage;
the entertainment module is used for properly relaxing a user after learning, grade division is set in the entertainment module, the grade is divided according to achievement value, answer correct rate and answer time, and the specific division process is as follows:
e1: setting three entertainment grades D1, D2 and D3, setting D1 < D2 < D3, setting achievement values, exercise time data and answer accuracy threshold preset values Am, Bm and Cm, wherein m is 1,2 and 3 according to the three grades, and comparing the achievement values, exercise time data and answer accuracy with the answer accuracy, wherein the three levels are as follows:
q1: when Wi is larger than or equal to A1, LSi is larger than or equal to B1, VIs justWhen the user grade is more than or equal to C1, judging the user grade to be D1;
q2: when Wi is larger than or equal to A2, LSi is larger than or equal to B2, VIs justWhen the user grade is more than or equal to C2, judging the user grade to be D2;
q3: when Wi is larger than or equal to A3, LSi is larger than or equal to B3, VIs justWhen the user grade is more than or equal to C3, judging the user grade to be D3;
q4: wi, LSi and V described aboveIs justIf the user is greater than the judgment preset value of the same grade, the user can be judged to belong to the grade, otherwise, one grade is automatically reduced and recorded;
e2: when a user logs in the entertainment module for multiple times, the entertainment module evaluates the achievement value, exercise time data and answer accuracy of the current time and the recorded average value of the achievement value, exercise time data and answer accuracy again and transmits the entertainment grade to the learning feedback module;
the monitoring module is used for monitoring the entertainment time data of the user in the entertainment module in real time and transmitting the entertainment time data to the learning feedback module;
the learning feedback module is used for performing learning feedback operation on the entertainment time data, the entertainment grade, the answer accuracy and the exercise time data to obtain a learning improvement signal, a knowledge warm-learning signal and a learning decline signal, and transmitting the learning improvement signal, the knowledge warm-learning signal and the learning decline signal to the intelligent equipment;
the intelligent device is used for receiving the learning improvement signal, the knowledge warm-learning signal and the learning reduction signal and sending out a reminding signal.
As a further improvement of the invention: the specific operation process of the comparison operation is as follows:
the method comprises the following steps: comparing the account data with the valid account data, specifically:
s1: when the account data does not belong to the valid account data, judging that the account does not exist, popping up an account and requiring a registration prompt, and carrying out account registration by the user according to the registration prompt;
s2: when the account data belongs to valid account data, the account is judged to be correct, valid password data corresponding to the valid account data is obtained and compared with the password data, and the method specifically comprises the following steps:
SS 1: when the password data is inconsistent with the valid password data, judging that the password of the account number is wrong;
SS 2: when the password data is consistent with the effective password data, judging that the account password is correct, automatically jumping to an image verification unit, wherein verification image data are stored in the image verification unit, randomly selecting N pictures for login selection, wherein the N pictures comprise a picture initially set by a user, and comparing the selected picture for login with the effective verification image data, wherein the specific steps are as follows:
SSS 1: when the comparison result is constant, judging that the login user is correct, and automatically jumping to a learning module;
SSS 2: and when the comparison result is inconsistent, judging that the account is in dangerous login, automatically acquiring the data of the mobile phone number, sending verification information to the number, and judging whether the login is successful or not according to the correctness of the verification information.
As a further improvement of the invention: the specific operation process of the analysis operation is as follows:
k1: acquiring reading time data, exercise total time data, video exercise time data, answer-to-question data and answer-wrong-question data, and sequentially marking the data as YSi, LSi, ZSi, SSi, DSi and CSi, wherein i is 1,2,3.
K2: substituting reading time data, exercise time data and video exercise time data into calculation formula TFruit of Chinese wolfberryYSi + LSi + SSi, where TFruit of Chinese wolfberryExpressing as actual learning time, and substituting the reading time data, total exercise time data and video exercise time data into a calculation formula, TSign boardYSi + Zsi + SSi, where TSign boardExpressed as standard learning time and is compared with TFruit of Chinese wolfberryTaken together into the formula Vs ═ TFruit of Chinese wolfberry/TSign boardWherein Vs represents the exercise time ratio;
k3: substituting answer-to-question data and wrong-answer question data into a calculation formulaAnd
wherein, VIs justExpressed as answer accuracy, VNegative poleExpressed as the answer error rate;
k4: setting a preset value H of the exercise time ratio, and comparing the preset value H with the exercise time ratio, wherein the preset value H specifically comprises the following steps: when Vs is less than H, the exercise speed is judged to be high, an exercise influence factor u1 is set, when Vs is equal to H, the exercise speed is judged to be general, an exercise influence factor u2 is set, when Vs is more than H, the exercise speed is judged to be low, an exercise influence factor u3 is set, and the set exercise influence factors are determined to be uo, o is equal to 1,2 and 3;
k5: acquiring the answer correct rate and the answer error rate, setting preset values J and L of the answer correct rate and the answer error rate, and comparing the preset values J and L with the answer correct rate and the answer error rate, wherein the method specifically comprises the following steps: when V isIs justIf J is greater than J, the answer is judged to be correct, a correct rate influence factor J1 is set, and when V is greater than JIs justIf J is the answer accuracy, the answer accuracy is generally determined, and an accuracy influence factor J2 is set, and if V is the answer accuracyIs justIf the answer is less than J, judging that the answer accuracy is low, setting an accuracy influence factor J3, uniformly positioning the set accuracy influence factor jp, p is 1,2 and 3, and obtaining an error rate influence factor uniform positioning lp, p is 1,2 and 3 by the same comparison;
k6: obtaining standard learning time, actual learning time, exercise time ratio, question-answering data, wrong question-answering data, correct question-answering rate and wrong question-answering rate, and substituting the standard learning time, the actual learning time, the exercise time ratio, the question-answering data, the wrong question-answering data, the correct question-answering rate and the wrong question-answering rate into a calculation formula Wi ═ DSi jp) - (CSi lp)]*[(TSign board-TFruit of Chinese wolfberry)*Vs]Where Wi is expressed as an achievement value.
As a further improvement of the invention: the specific operation process of the learning feedback is as follows:
r1: entertainment time data is obtained and marked as Yc, c1, 2,3.. b, entertainment grades D1, D2, and D3 are obtained and marked as Ds, s1, 2, 3;
r2: the entertainment time data, the entertainment grade, the answering accuracy and the exercise time data are brought into a calculation formula
Wherein Gt is the learning efficiency, and g is the entertainment grade conversion factor;
r3: setting a preset learning efficiency value GF, and comparing the preset learning efficiency value GF with Gt, wherein the preset learning efficiency value GF is as follows:
t1: when Gt is larger than GF, the learning efficiency is judged to be high, and a learning improvement signal is generated;
t2: when Gt is GF, judging that the learning efficiency is not remarkably improved, and generating a knowledge temperature learning signal;
t3: when Gt < GF, it is judged that the learning efficiency is lowered, and a learning lowering signal is generated.
The invention has the beneficial effects that:
(1) the login module is used for logging in account information of a user and transmitting the account information to the comparison unit, effective account data, effective password data, effective verification image data and mobile phone number data are stored in the database and transmitted to the comparison unit, the comparison unit is used for comparing the account data, the password data, the effective account data, the effective password data, the verification image data, the effective verification image data and the mobile phone number data, the account information of the user is logged in through the setting of the login module and is subjected to multiple verification in the comparison unit, the safety of an account is guaranteed, loss of the user due to account loss is avoided, and the safety of the account is improved.
(2) The learning module comprises a reading unit, a question bank exercise unit, a video explanation unit and a management unit, the management unit acquires management data, the management data comprises reading time data, exercise total time data, video exercise time data, answer-to-question data and answer-wrong question data, and transmits the data to an analysis module, the analysis module is used for analyzing the reading time data, the exercise total time data, the video exercise time data, the answering question data and the wrong answering question data, through the arrangement of the learning module, the online learning of the user is provided, the learning data of the user is obtained, the learning data is analyzed in the analysis module, so that the achievement value and the related learning data are calculated, the learning data is analyzed in detail, so that the authenticity of the data is realized, and the transparency of learning is achieved.
(3) The entertainment module is used for proper relaxation of a user after learning, the entertainment module is internally provided with grade division, the grade is divided according to achievement value, answer right rate and answer time, the monitoring module is used for monitoring entertainment time data of the user in the entertainment module in real time and transmitting the entertainment time data to the learning feedback module, the learning feedback module is used for performing learning feedback operation on the entertainment time data, the entertainment grade, the answer right rate and the exercise time data to obtain a learning improvement signal, a knowledge temperature learning signal and a learning decline signal, the intelligent device transmits a reminding signal, the entertainment grade is set through the arrangement of the entertainment module, the user uses the achievement value to replace a corresponding entertainment item, and the overall results of entertainment and learning are analyzed in the learning feedback module to enable the entertainment and learning to be a whole, supplement each other and provide power for the user to learn.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention is a network remote education system based on a cloud platform, comprising a login module, a comparison unit, a database, a learning module, an analysis module, an entertainment module, a monitoring module, a learning feedback module, an intelligent device and an achievement storage module;
the login module is used for logging in account information of a user, the account information comprises account data, password data and verification image data, the login module transmits the account data and the password data input by the user to the comparison unit, and the database stores valid account data, valid password data, valid verification image data and mobile phone number data and transmits the valid account data, the valid password data, the valid verification image data and the mobile phone number data to the comparison unit;
the comparison unit is used for comparing the account number data, the password data, the valid account number data, the valid password data, the verification image data, the valid verification image data and the mobile phone number data, and the specific operation process of the comparison operation is as follows:
the method comprises the following steps: comparing the account data with the valid account data, specifically:
s1: when the account data does not belong to the valid account data, judging that the account does not exist, popping up an account and requiring a registration prompt, and carrying out account registration by the user according to the registration prompt;
s2: when the account data belongs to valid account data, the account is judged to be correct, valid password data corresponding to the valid account data is obtained and compared with the password data, and the method specifically comprises the following steps:
SS 1: when the password data is inconsistent with the valid password data, judging that the password of the account number is wrong;
SS 2: when the password data is consistent with the effective password data, judging that the account password is correct, automatically jumping to an image verification unit, wherein verification image data are stored in the image verification unit, randomly selecting N pictures for login selection, wherein the N pictures comprise a picture initially set by a user, and comparing the selected picture for login with the effective verification image data, wherein the specific steps are as follows:
SSS 1: when the comparison result is constant, judging that the login user is correct, and automatically jumping to a learning module;
SSS 2: when the comparison result is inconsistent, the dangerous login of the account is judged, the data of the mobile phone number is automatically obtained, the verification information is sent to the number, whether the login is successful or not is judged according to the correctness of the verification information, and a login success signal and a login failure signal are generated;
the learning module comprises a reading unit, a question bank exercise unit, a video explanation unit and a management unit, wherein the reading unit is used for knowing a knowledge principle for a user, the question bank exercise unit is used for detecting learned knowledge points of the user, the video explanation unit is used for explaining questions for the user, the management unit is used for counting time consumption conditions of the reading unit, the question bank exercise unit and the video explanation unit and answer scores of the question bank exercise unit, the management unit acquires management data, and the management data comprise reading time data, question exercise time data, total question exercise time data, video question exercise time data, answer to question data and wrong question answer data and are transmitted to the analysis module;
the analysis module is used for analyzing reading time data, exercise total time data, video exercise time data, answer to question data and wrong answer question data, and the specific operation process of the analysis operation is as follows:
k1: acquiring reading time data, exercise total time data, video exercise time data, answer-to-question data and answer-wrong-question data, and sequentially marking the data as YSi, LSi, ZSi, SSi, DSi and CSi, wherein i is 1,2,3.
K2: substituting reading time data, exercise time data and video exercise time data into calculation formula TFruit of Chinese wolfberryYSi + LSi + SSi, where TFruit of Chinese wolfberryExpressing as actual learning time, and substituting the reading time data, total exercise time data and video exercise time data into a calculation formula, TSign boardYSi + Zsi + SSi, where TSign boardExpressed as standard learning time and is compared with TFruit of Chinese wolfberryTaken together into the formula Vs ═ TFruit of Chinese wolfberry/TSign boardWherein Vs represents the exercise time ratio;
k3: substituting answer-to-question data and wrong-answer question data into a calculation formula
Andwherein, VIs justExpressed as answer accuracy, VNegative poleExpressed as the answer error rate;
k4: setting a preset value H of the exercise time ratio, and comparing the preset value H with the exercise time ratio, wherein the preset value H specifically comprises the following steps: when Vs is less than H, the exercise speed is judged to be high, an exercise influence factor u1 is set, when Vs is equal to H, the exercise speed is judged to be general, an exercise influence factor u2 is set, when Vs is more than H, the exercise speed is judged to be low, an exercise influence factor u3 is set, and the set exercise influence factors are determined to be uo, o is equal to 1,2 and 3;
k5: acquiring the answer correct rate and the answer error rate, setting preset values J and L of the answer correct rate and the answer error rate, and comparing the preset values J and L with the answer correct rate and the answer error rate, wherein the method specifically comprises the following steps: when V isIs justIf J is greater than J, the answer is judged to be correct, a correct rate influence factor J1 is set, and when V is greater than JIs justIf J is the answer accuracy, the answer accuracy is generally determined, and an accuracy influence factor J2 is set, and if V is the answer accuracyIs justIf the answer is less than J, judging that the answer accuracy is low, setting an accuracy influence factor J3, uniformly positioning the set accuracy influence factor jp, p is 1,2 and 3, and obtaining an error rate influence factor uniform positioning lp, p is 1,2 and 3 by the same comparison;
k6: obtaining standard learning time, actual learning time, exercise time ratio, question-answering data, wrong question-answering data, correct question-answering rate and wrong question-answering rate, and substituting the standard learning time, the actual learning time, the exercise time ratio, the question-answering data, the wrong question-answering data, the correct question-answering rate and the wrong question-answering rate into a calculation formula Wi ═ DSi jp) - (CSi lp)]*[(TSign board-TFruit of Chinese wolfberry)*Vs]Wherein Wi is expressed as achievement value, and transmits the achievement value, exercise time data and answer accuracy together to the achievement storage module for storage;
the entertainment module is used for properly relaxing a user after learning, grade division is set in the entertainment module, the grade is divided according to achievement value, answer correct rate and answer time, and the specific division process is as follows:
e1: setting three entertainment grades D1, D2 and D3, setting D1 < D2 < D3, setting achievement values, exercise time data and answer accuracy threshold preset values Am, Bm and Cm, wherein m is 1,2 and 3 according to the three grades, and comparing the achievement values, exercise time data and answer accuracy with the answer accuracy, wherein the three levels are as follows:
q1: when Wi is larger than or equal to A1, LSi is larger than or equal to B1, VIs justWhen the user grade is more than or equal to C1, judging the user grade to be D1;
q2: when Wi is larger than or equal to A2, LSi is larger than or equal to B2, VIs justWhen the user grade is more than or equal to C2, judging the user grade to be D2;
q3: when Wi is larger than or equal to A3, LSi is larger than or equal to B3, VIs justWhen the user grade is more than or equal to C3, judging the user grade to be D3;
q4: wi, LSi and V described aboveIs justAll greater than the same levelWhen the preset value is judged, the user can be judged to belong to the grade, otherwise, one grade is automatically reduced and recorded;
e2: when a user logs in the entertainment module for multiple times, the entertainment module evaluates the achievement value, exercise time data and answer accuracy of the current time and the recorded average value of the achievement value, exercise time data and answer accuracy again and transmits the entertainment grade to the learning feedback module;
the monitoring module is used for monitoring the entertainment time data of the user in the entertainment module in real time and transmitting the entertainment time data to the learning feedback module;
the learning feedback module is used for performing learning feedback operation on the entertainment time data, the entertainment grade, the answer accuracy and the exercise time data, and the specific operation process of the learning feedback is as follows:
r1: entertainment time data is obtained and marked as Yc, c1, 2,3.. b, entertainment grades D1, D2, and D3 are obtained and marked as Ds, s1, 2, 3;
r2: the entertainment time data, the entertainment grade, the answering accuracy and the exercise time data are brought into a calculation formula
Wherein Gt is the learning efficiency, and g is the entertainment grade conversion factor;
r3: setting a preset learning efficiency value GF, and comparing the preset learning efficiency value GF with Gt, wherein the preset learning efficiency value GF is as follows:
t1: when Gt is larger than GF, the learning efficiency is judged to be high, and a learning improvement signal is generated;
t2: when Gt is GF, judging that the learning efficiency is not remarkably improved, and generating a knowledge temperature learning signal;
t3: when Gt is less than GF, judging that the learning efficiency is reduced, and generating a learning reduction signal;
r4: transmitting the learning improvement signal, the knowledge temperature learning signal and the learning reduction signal in the R3 to intelligent equipment;
the intelligent device is used for receiving the learning improvement signal, the knowledge warm-learning signal and the learning reduction signal and sending out a reminding signal, and is a tablet computer;
entertainment includes watching video, playing games, and listening to music.
When the mobile phone login system works, the login module is used for logging in account information of a user and transmitting the account information to the comparison unit, effective account data, effective password data, effective verification image data and mobile phone number data are stored in the database and transmitted to the comparison unit, and the comparison unit is used for comparing the account data, the password data, the effective account data, the effective password data, the verification image data, the effective verification image data and the mobile phone number data to obtain a login success signal and a login failure signal; the learning module comprises a reading unit, a question bank exercise unit, a video explanation unit and a management unit, the management unit acquires management data, the management data comprises reading time data, exercise total time data, video exercise time data, answer to question data and wrong answer data, and transmits the management data to the analysis module, the analysis module is used for analyzing the reading time data, the exercise total time data, the video exercise time data, the answer to question data and the wrong answer data to obtain achievement value, answer correct rate, answer error rate, actual learning time and standard learning time, the entertainment module is used for enabling a user to properly relax after learning, grade division is set in the entertainment module, grade division is carried out according to the achievement value, the answer correct rate and the answer time, the monitoring module monitors the entertainment time data of the user in the entertainment module in real time, and transmits it to the learning feedback module; the learning feedback module is used for performing learning feedback operation on the entertainment time data, the entertainment grade, the answer accuracy and the exercise time data to obtain a learning improvement signal, a knowledge warm-learning signal and a learning decline signal, transmitting the learning improvement signal, the knowledge warm-learning signal and the learning decline signal to the intelligent equipment, and sending a reminding signal by the intelligent equipment.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (4)
1. A network remote education system based on a cloud platform is characterized by comprising a login module, a comparison unit, a database, a learning module, an analysis module, an entertainment module, a monitoring module, a learning feedback module, intelligent equipment and an achievement storage module;
the login module is used for logging in account information of a user, the account information comprises account data, password data and verification image data, the login module transmits the account data and the password data input by the user to the comparison unit, and the database stores valid account data, valid password data, valid verification image data and mobile phone number data and transmits the valid account data, the valid password data, the valid verification image data and the mobile phone number data to the comparison unit;
the comparison unit is used for comparing the account number data, the password data, the valid account number data, the valid password data, the verification image data, the valid verification image data and the mobile phone number data to obtain a login success signal and a login failure signal;
the learning module comprises a reading unit, a question bank exercise unit, a video explanation unit and a management unit, wherein the management unit acquires management data, and the management data comprises reading time data, question practice time data, total question practice time data, video question practice time data, right question answering data and wrong question answering data and is transmitted to the analysis module;
the analysis module is used for analyzing the reading time data, the exercise total time data, the video exercise time data, the answer to question data and the wrong answer data to obtain achievement values, answer correct rates, answer error rates, actual learning time and standard learning time, and transmitting the achievement values, the exercise time data and the answer correct rates to the achievement storage module for storage;
the entertainment module is used for properly relaxing a user after learning, grade division is set in the entertainment module, the grade is divided according to achievement value, answer correct rate and answer time, and the specific division process is as follows:
e1: setting three entertainment grades D1, D2 and D3, setting D1 < D2 < D3, setting achievement values, exercise time data and answer accuracy threshold preset values Am, Bm and Cm, wherein m is 1,2 and 3 according to the three grades, and comparing the achievement values, exercise time data and answer accuracy with the answer accuracy, wherein the three levels are as follows:
q1: when Wi is larger than or equal to A1, LSi is larger than or equal to B1, VIs justWhen the user grade is more than or equal to C1, judging the user grade to be D1;
q2: when Wi is larger than or equal to A2, LSi is larger than or equal to B2, VIs justWhen the user grade is more than or equal to C2, judging the user grade to be D2;
q3: when Wi is larger than or equal to A3, LSi is larger than or equal to B3, VIs justWhen the user grade is more than or equal to C3, judging the user grade to be D3;
q4: wi, LSi and V described aboveIs justIf the user is greater than the judgment preset value of the same grade, the user can be judged to belong to the grade, otherwise, one grade is automatically reduced and recorded;
e2: when a user logs in the entertainment module for multiple times, the entertainment module evaluates the achievement value, exercise time data and answer accuracy of the current time and the recorded average value of the achievement value, exercise time data and answer accuracy again and transmits the entertainment grade to the learning feedback module;
the monitoring module is used for monitoring the entertainment time data of the user in the entertainment module in real time and transmitting the entertainment time data to the learning feedback module;
the learning feedback module is used for performing learning feedback operation on the entertainment time data, the entertainment grade, the answer accuracy and the exercise time data to obtain a learning improvement signal, a knowledge warm-learning signal and a learning decline signal, and transmitting the learning improvement signal, the knowledge warm-learning signal and the learning decline signal to the intelligent equipment;
the intelligent device is used for receiving the learning improvement signal, the knowledge warm-learning signal and the learning reduction signal and sending out a reminding signal.
2. The network remote education system based on the cloud platform as claimed in claim 1, wherein the specific operation process of the comparison operation is as follows:
the method comprises the following steps: comparing the account data with the valid account data, specifically:
s1: when the account data does not belong to the valid account data, judging that the account does not exist, popping up an account and requiring a registration prompt, and carrying out account registration by the user according to the registration prompt;
s2: when the account data belongs to valid account data, the account is judged to be correct, valid password data corresponding to the valid account data is obtained and compared with the password data, and the method specifically comprises the following steps:
SS 1: when the password data is inconsistent with the valid password data, judging that the password of the account number is wrong;
SS 2: when the password data is consistent with the effective password data, judging that the account password is correct, automatically jumping to an image verification unit, wherein verification image data are stored in the image verification unit, randomly selecting N pictures for login selection, wherein the N pictures comprise a picture initially set by a user, and comparing the selected picture for login with the effective verification image data, wherein the specific steps are as follows:
SSS 1: when the comparison result is constant, judging that the login user is correct, and automatically jumping to a learning module;
SSS 2: and when the comparison result is inconsistent, judging that the account is in dangerous login, automatically acquiring the data of the mobile phone number, sending verification information to the number, and judging whether the login is successful or not according to the correctness of the verification information.
3. The cloud platform-based network remote education system according to claim 1, wherein the specific operation process of the analysis operation is as follows:
k1: acquiring reading time data, exercise total time data, video exercise time data, answer-to-question data and answer-wrong-question data, and sequentially marking the data as YSi, LSi, ZSi, SSi, DSi and CSi, wherein i is 1,2,3.
K2: substituting reading time data, exercise time data and video exercise time data into calculation formula TFruit of Chinese wolfberryYSi + LSi + SSi, where TFruit of Chinese wolfberryExpressing as actual learning time, and substituting the reading time data, total exercise time data and video exercise time data into a calculation formula, TSign boardYSi + Zsi + SSi, where TSign boardExpressed as standard learning time and is compared with TFruit of Chinese wolfberryTaken together into the formula Vs ═ TFruit of Chinese wolfberry/TSign boardWherein Vs represents the exercise time ratio;
k3: substituting answer-to-question data and wrong-answer question data into a calculation formulaAndwherein, VIs justExpressed as answer accuracy, VNegative poleExpressed as the answer error rate;
k4: setting a preset value H of the exercise time ratio, and comparing the preset value H with the exercise time ratio, wherein the preset value H specifically comprises the following steps: when Vs is less than H, the exercise speed is judged to be high, an exercise influence factor u1 is set, when Vs is equal to H, the exercise speed is judged to be general, an exercise influence factor u2 is set, when Vs is more than H, the exercise speed is judged to be low, an exercise influence factor u3 is set, and the set exercise influence factors are determined to be uo, o is equal to 1,2 and 3;
k5: acquiring the answer correct rate and the answer error rate, setting preset values J and L of the answer correct rate and the answer error rate, and comparing the preset values J and L with the answer correct rate and the answer error rate, wherein the method specifically comprises the following steps: when V isIs justIf J is greater than J, the answer is judged to be correct, a correct rate influence factor J1 is set, and when V is greater than JIs justIf J is the answer accuracy, the answer accuracy is generally determined, and an accuracy influence factor J2 is set, and if V is the answer accuracyIs justIf the answer is less than J, judging that the answer accuracy is low, setting an accuracy influence factor J3, uniformly positioning the set accuracy influence factor jp, p is 1,2 and 3, and obtaining an error rate influence factor uniform positioning lp, p is 1,2 and 3 by the same comparison;
k6: obtaining standard learning time, actual learning time, exercise time ratio, answer-to-question data, wrong-answer data, answer correct rate and answer wrong rate,and the two are substituted into a calculation formula Wi ═ DSi jp) - (CSi ═ lp)]*[(TSign board-TFruit of Chinese wolfberry)*Vs]Where Wi is expressed as an achievement value.
4. The cloud platform-based network distance education system of claim 1, wherein the specific operation process of learning feedback is as follows:
r1: entertainment time data is obtained and marked as Yc, c1, 2,3.. b, entertainment grades D1, D2, and D3 are obtained and marked as Ds, s1, 2, 3;
r2: the entertainment time data, the entertainment grade, the answering accuracy and the exercise time data are brought into a calculation formula
Wherein Gt is the learning efficiency, and g is the entertainment grade conversion factor;
r3: setting a preset learning efficiency value GF, and comparing the preset learning efficiency value GF with Gt, wherein the preset learning efficiency value GF is as follows:
t1: when Gt is larger than GF, the learning efficiency is judged to be high, and a learning improvement signal is generated;
t2: when Gt is GF, judging that the learning efficiency is not remarkably improved, and generating a knowledge temperature learning signal;
t3: when Gt < GF, it is judged that the learning efficiency is lowered, and a learning lowering signal is generated.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911192047.1A CN110751861B (en) | 2019-11-28 | 2019-11-28 | Network remote education system based on cloud platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911192047.1A CN110751861B (en) | 2019-11-28 | 2019-11-28 | Network remote education system based on cloud platform |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110751861A true CN110751861A (en) | 2020-02-04 |
| CN110751861B CN110751861B (en) | 2021-07-02 |
Family
ID=69285029
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911192047.1A Active CN110751861B (en) | 2019-11-28 | 2019-11-28 | Network remote education system based on cloud platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110751861B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111402039A (en) * | 2020-06-08 | 2020-07-10 | 杭州连银科技有限公司 | Credit customer registration management system |
| CN111654496A (en) * | 2020-06-03 | 2020-09-11 | 贵州航天云网科技有限公司 | Safety monitoring and protection system for industrial internet platform system |
| CN112735209A (en) * | 2021-01-05 | 2021-04-30 | 日照职业技术学院 | Accounting simulation teaching system based on virtual technology |
| CN115909210A (en) * | 2022-12-02 | 2023-04-04 | 北京思想天下教育科技有限公司 | Effective learning time statistical system |
Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040180317A1 (en) * | 2002-09-30 | 2004-09-16 | Mark Bodner | System and method for analysis and feedback of student performance |
| CN101582101A (en) * | 2008-05-15 | 2009-11-18 | 梁昌年 | Method and device thereof for providing individualized learning for user by using computer system |
| CN103428163A (en) * | 2012-05-15 | 2013-12-04 | 上海博路信息技术有限公司 | Verification code based on image content |
| US20140002831A1 (en) * | 2012-07-02 | 2014-01-02 | Teddi Norman Hernandez | Print-level sensing for interactive play with a printed image |
| CN105357008A (en) * | 2014-08-22 | 2016-02-24 | 腾讯科技（深圳）有限公司 | Identity verification method and device |
| CN105468952A (en) * | 2015-11-17 | 2016-04-06 | 腾讯科技（深圳）有限公司 | Authentication method and apparatus |
| CN106709315A (en) * | 2015-11-13 | 2017-05-24 | 北京神州泰岳软件股份有限公司 | Login information verification method and apparatus for application system |
| CN106971640A (en) * | 2017-05-15 | 2017-07-21 | 广东小天才科技有限公司 | Method and device for detecting learning effect based on big data |
| CN107358829A (en) * | 2016-05-10 | 2017-11-17 | 永佳乐有限公司 | Learning test system |
| CN107578674A (en) * | 2017-09-08 | 2018-01-12 | 河海大学常州校区 | The games system of gameization test and appraisal infant multicomponent intelligent education |
| CN108154732A (en) * | 2017-12-29 | 2018-06-12 | 安徽国通亿创科技股份有限公司 | Online teaching study growth management system based on big data technology |
| CN108492096A (en) * | 2018-03-26 | 2018-09-04 | 首都师范大学 | A kind of personalization autonomous learning device and method |
| CN108550396A (en) * | 2018-04-18 | 2018-09-18 | 湘潭大学 | A kind of device and method of child's intelligent health-care and intellectual development |
| CN108959874A (en) * | 2017-05-17 | 2018-12-07 | 武汉默联股份有限公司 | Information Authentication method and device |
| CN109102725A (en) * | 2018-09-28 | 2018-12-28 | 江苏派远软件开发有限公司 | A kind of intelligent learning system of guidance |
| CN109271765A (en) * | 2018-09-04 | 2019-01-25 | 四川文轩教育科技有限公司 | A kind of student's private data guard method based on artificial intelligence |
| CN109272789A (en) * | 2018-10-31 | 2019-01-25 | 安徽网网络科技有限公司 | Learning effect assessment system and appraisal procedure based on data analysis |
| CN110009780A (en) * | 2019-03-29 | 2019-07-12 | 深圳市九洲电器有限公司 | A kind of car door unlocking method, server and storage medium based on car networking |
-
2019
- 2019-11-28 CN CN201911192047.1A patent/CN110751861B/en active Active
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040180317A1 (en) * | 2002-09-30 | 2004-09-16 | Mark Bodner | System and method for analysis and feedback of student performance |
| CN101582101A (en) * | 2008-05-15 | 2009-11-18 | 梁昌年 | Method and device thereof for providing individualized learning for user by using computer system |
| CN103428163A (en) * | 2012-05-15 | 2013-12-04 | 上海博路信息技术有限公司 | Verification code based on image content |
| US20140002831A1 (en) * | 2012-07-02 | 2014-01-02 | Teddi Norman Hernandez | Print-level sensing for interactive play with a printed image |
| CN105357008A (en) * | 2014-08-22 | 2016-02-24 | 腾讯科技（深圳）有限公司 | Identity verification method and device |
| CN106709315A (en) * | 2015-11-13 | 2017-05-24 | 北京神州泰岳软件股份有限公司 | Login information verification method and apparatus for application system |
| CN105468952A (en) * | 2015-11-17 | 2016-04-06 | 腾讯科技（深圳）有限公司 | Authentication method and apparatus |
| CN107358829A (en) * | 2016-05-10 | 2017-11-17 | 永佳乐有限公司 | Learning test system |
| CN106971640A (en) * | 2017-05-15 | 2017-07-21 | 广东小天才科技有限公司 | Method and device for detecting learning effect based on big data |
| CN108959874A (en) * | 2017-05-17 | 2018-12-07 | 武汉默联股份有限公司 | Information Authentication method and device |
| CN107578674A (en) * | 2017-09-08 | 2018-01-12 | 河海大学常州校区 | The games system of gameization test and appraisal infant multicomponent intelligent education |
| CN108154732A (en) * | 2017-12-29 | 2018-06-12 | 安徽国通亿创科技股份有限公司 | Online teaching study growth management system based on big data technology |
| CN108492096A (en) * | 2018-03-26 | 2018-09-04 | 首都师范大学 | A kind of personalization autonomous learning device and method |
| CN108550396A (en) * | 2018-04-18 | 2018-09-18 | 湘潭大学 | A kind of device and method of child's intelligent health-care and intellectual development |
| CN109271765A (en) * | 2018-09-04 | 2019-01-25 | 四川文轩教育科技有限公司 | A kind of student's private data guard method based on artificial intelligence |
| CN109102725A (en) * | 2018-09-28 | 2018-12-28 | 江苏派远软件开发有限公司 | A kind of intelligent learning system of guidance |
| CN109272789A (en) * | 2018-10-31 | 2019-01-25 | 安徽网网络科技有限公司 | Learning effect assessment system and appraisal procedure based on data analysis |
| CN110009780A (en) * | 2019-03-29 | 2019-07-12 | 深圳市九洲电器有限公司 | A kind of car door unlocking method, server and storage medium based on car networking |
Non-Patent Citations (1)
| Title |
|---|
| 王秀志: ""化学智能学习***的设计与实现"", 《中国优秀硕士学位论文全文数据库社会科学Ⅱ辑》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111654496A (en) * | 2020-06-03 | 2020-09-11 | 贵州航天云网科技有限公司 | Safety monitoring and protection system for industrial internet platform system |
| CN111654496B (en) * | 2020-06-03 | 2021-02-05 | 贵州航天云网科技有限公司 | Safety monitoring and protection system for industrial internet platform system |
| CN111402039A (en) * | 2020-06-08 | 2020-07-10 | 杭州连银科技有限公司 | Credit customer registration management system |
| CN111402039B (en) * | 2020-06-08 | 2020-09-15 | 杭州连银科技有限公司 | Credit customer registration management system |
| CN112735209A (en) * | 2021-01-05 | 2021-04-30 | 日照职业技术学院 | Accounting simulation teaching system based on virtual technology |
| CN115909210A (en) * | 2022-12-02 | 2023-04-04 | 北京思想天下教育科技有限公司 | Effective learning time statistical system |
| CN115909210B (en) * | 2022-12-02 | 2023-09-01 | 北京思想天下教育科技有限公司 | Effective learning time statistics system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110751861B (en) | 2021-07-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110751861B (en) | Network remote education system based on cloud platform | |
| CN111949822B (en) | Intelligent education video service system based on cloud computing and mobile terminal and operation method thereof | |
| US11151892B2 (en) | Internet teaching platform-based following teaching system | |
| CN108777087B (en) | Remote education system based on cloud server | |
| CN106056508A (en) | Multistage online training cloud platform | |
| CN109961033A (en) | Vocational education on-site training supervisory systems | |
| CN106354810A (en) | Internet teaching system using big data technology | |
| CN111444391B (en) | Video learning achievement evaluation method based on artificial intelligence | |
| CN107393362A (en) | A kind of computer application teaching and training system | |
| CN115170369B (en) | Live course online watching intelligent management system based on mobile internet | |
| CN113012498A (en) | Intelligent education system and method | |
| CN113129186A (en) | Education platform interactive system based on Internet of things | |
| CN115062950A (en) | Training management system based on digital intelligent learning | |
| CN111522877A (en) | Education course online synchronous processing system | |
| CN111028583A (en) | Remote network teaching system and method | |
| CN110706534A (en) | Remote education examination system based on cloud service | |
| CN104732320A (en) | Computer professional technical ability verification training system | |
| CN111724282A (en) | IC manufacture virtual simulation teaching platform | |
| CN114512041B (en) | Teaching behavior big data analysis device based on panoramic shooting | |
| CN115278272B (en) | Education practice online guidance system and method | |
| CN116363918A (en) | Operation and maintenance training assessment system and method thereof, electronic equipment and storage medium | |
| CN109712041A (en) | Supervisory systems of running non-public school based on wisdom education | |
| CN109272431A (en) | A kind of system being standardized teaching using computer | |
| CN113327183A (en) | Teaching system based on block chain and teaching resource sharing method | |
| CN110867108A (en) | Intelligent teaching platform based on internet of things |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20230807 Address after: 233600 office building of optical electromechanical Industrial Park in Woyang Economic Development Zone, Bozhou City, Anhui Province (Xingyuan incubator) Patentee after: Woyang Quantum Information Technology Co.,Ltd. Address before: 233600 house 175-36, Beihuan East Road, Chengguan Town, Woyang County, Bozhou City, Anhui Province Patentee before: Zhang Lili |
|
| TR01 | Transfer of patent right |