CN111081107A - Education evaluation method and system based on cloud computing, Internet of things and AI - Google Patents
Education evaluation method and system based on cloud computing, Internet of things and AI Download PDFInfo
- Publication number
- CN111081107A CN111081107A CN201911404752.3A CN201911404752A CN111081107A CN 111081107 A CN111081107 A CN 111081107A CN 201911404752 A CN201911404752 A CN 201911404752A CN 111081107 A CN111081107 A CN 111081107A
- Authority
- CN
- China
- Prior art keywords
- evaluation
- terminal
- module
- information
- data
- 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
- 238000011156 evaluation Methods 0.000 title claims abstract description 250
- 238000000034 method Methods 0.000 claims abstract description 54
- 238000005516 engineering process Methods 0.000 claims abstract description 28
- 230000006870 function Effects 0.000 claims abstract description 9
- 238000012937 correction Methods 0.000 claims abstract description 6
- 230000001360 synchronised effect Effects 0.000 claims description 43
- 230000008569 process Effects 0.000 claims description 31
- 238000013500 data storage Methods 0.000 claims description 13
- 238000012423 maintenance Methods 0.000 claims description 13
- 230000008859 change Effects 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000007619 statistical method Methods 0.000 claims description 3
- 230000011514 reflex Effects 0.000 claims description 2
- 238000007405 data analysis Methods 0.000 abstract description 3
- 238000007418 data mining Methods 0.000 abstract description 3
- 238000013473 artificial intelligence Methods 0.000 description 28
- 238000004364 calculation method Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000012854 evaluation process Methods 0.000 description 3
- 238000013507 mapping Methods 0.000 description 2
- 239000000853 adhesive Substances 0.000 description 1
- 230000001070 adhesive effect Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Images
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
- 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
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Educational Technology (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Electrically Operated Instructional Devices (AREA)
Abstract
The invention relates to the technical field of computers, in particular to an education evaluation method and system based on cloud computing, the Internet of things and AI, wherein the method comprises the steps of formulating an evaluation rule and issuing the evaluation rule to a system terminal; inputting a correct user name and a correct password to log in a system terminal; the user can execute corresponding service functions according to actual service requirements; and synchronizing the service data to the mobile terminal. The system comprises an education evaluation subsystem, a network operation subsystem and a reflection service subsystem. The invention provides an operation system based on cloud computing, Internet of things and AI technology, which adopts the cloud computing technology, the Internet of things technology and the AI technology to realize a near-reality operation correction method, provides rich question types and various question forms, and timely and effective notification feedback, thereby providing high-quality network operation service. Big data analysis and mining can be performed based on the achievement data, so that education evaluation is more objective, fair and accurate.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an education evaluation method and system based on cloud computing, the Internet of things and AI.
Background
The traditional education evaluation mode is single, and the importance of the procedural evaluation is ignored. With the continuous deepening and development of the quality education, the education attaches more importance to the cultivation of the core literacy of students. In the process of education and teaching, the evaluation of students also gradually changes from the evaluation taking academic scores as results to the process evaluation, so that the students not only pay attention to the learning results of the students, but also pay attention to the learning process of the students. How to form a scientific, systematic and complete evaluation system, so as to achieve the purpose of realizing the procedural evaluation with higher informatization and automation degrees, which is a problem to be solved urgently at present.
Disclosure of Invention
The invention aims to provide an education evaluation method and system based on cloud computing, the Internet of things and AI, and aims to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
an education evaluation method based on cloud computing, the Internet of things and AI comprises the following steps:
step 1: making an evaluation rule and issuing the evaluation rule to a system terminal;
step 2: inputting a correct user name and a correct password to log in a system terminal;
and step 3: the user can execute corresponding service functions according to actual service requirements;
and 4, step 4: and synchronizing the service data to the mobile terminal.
Preferably, the evaluation rule making in the step 1 comprises making an evaluation plan, performing assessment and evaluation, performing real-time evaluation, maintaining indexes, releasing network jobs by teachers, completing network jobs and releasing logs by students, and the system terminal in the step 2 comprises a browser end or an Android application program; and 3, executing evaluation according to the evaluation plan rule to generate evaluation result data, and pushing the evaluation result data to terminals of related personnel and presenting the evaluation result data in step 4, wherein the mobile terminals comprise a teacher mobile terminal, a parent mobile terminal and a student mobile terminal.
Preferably, in the process of making the evaluation rule, the method includes: filling in an evaluation form cover, selecting an evaluation mode, selecting an evaluation index, selecting an evaluation object, selecting a judge and making an evaluation rule of the judge, and after storing an evaluation plan, automatically pushing the relevant information of an evaluation task to a judge terminal by the server for presentation.
Preferably, in the evaluation plan execution process, the method includes: and browsing my evaluation task by the evaluation client, executing evaluation according to rules, automatically storing an intermediate temporary result by the server, and automatically generating a formal evaluation result by the system after all evaluation data are formed.
Preferably, the system automatically detects the completion progress of the evaluation plan, if the current progress is 100%, the system archives the evaluation results for query statistics, and pushes the evaluation results to the terminal equipment related to the evaluation object.
The invention also provides an education evaluation system based on cloud computing, the Internet of things and the AI, which comprises an education evaluation subsystem, a network operation subsystem and a reflection service subsystem; wherein:
the education evaluation subsystem is used for evaluating index maintenance, making an assessment and evaluation plan, evaluating execution and evaluating synchronous data reflection;
the network operation subsystem is used for maintaining questions of the question bank, issuing network operation, completing the network operation, solving questions by the computer AI and reflecting operation synchronous data;
and the reflection service subsystem is used for sending the service data needing synchronization to the mobile terminal.
Preferably, the educational assessment subsystem comprises:
the evaluation index maintenance module is used for maintaining the evaluation index;
the evaluation service plan making module is used for making an evaluation plan by a system administrator;
the evaluation service execution module is used for executing a functional module for evaluating service operation;
the student side statistical analysis module is used for a module for allowing a panel client to view, count and analyze the index evaluation result of each student;
the family member terminal statistic analysis module is used for reviewing, counting and analyzing the evaluation result of each child by the evaluation member;
and the evaluation result pushing module is used for pushing the evaluation result to parents, students or a comment equipment terminal.
Preferably, the network operation subsystem includes:
topic type setting module: the method is used for setting question type information according to actual needs by a user;
a topic information maintenance module: the system is used for inputting the serial number, name, description, audio and video accessories, question options, standard answers and approximate answers of the questions into the system to form a question information base which can be issued by teachers, and users can finish the inputting operation of the question information only by inputting guide operation;
an operation release module: the method is used for a teacher to extract the questions to be issued, formulate the rules of the operation, and issue the questions if the completion time period, the question scores, whether to start the answering process or not and whether to allow similar answers or not can be set;
a network operation completion module: the system is used for answering and submitting students in a set time period, and the system finishes automatic homework automatic correction operation by means of AI technology;
the score feedback module: the teacher terminal is used for receiving the homework task notification after the teacher issues homework, receiving the homework completion notification after the student completes network homework and receiving the homework completion notification by the parents or a teacher issuing homework, and performing score query and wrong question analysis operation by the teacher, the parents or the student.
Preferably, the reflection service subsystem comprises:
server side servo module: the system is used for sending data to be synchronized to each equipment terminal;
the mobile phone terminal synchronization module: the method comprises the steps that a synchronous data receiving servo thread runs on a user terminal App, once synchronous data are transmitted, a module automatically decrypts synchronous information, updates a database of a local equipment terminal, and then informs a final user that the information is changed and is expected to be consulted;
the synchronous data storage bin: the synchronous information is stored in a data storage bin of the server side, and if the equipment terminal needing receiving is online, the synchronous information is directly pushed; if the terminal needing to receive the information is not on line, the synchronous information is registered in the data storage bin, and the terminal logs in the server and then reflects and pushes the synchronous information;
a push generator module: the method is used for sending the change information to the mobile phone side synchronization module by the server servo module when a user logs in the App on the terminal, account switching, content changing or other important information changing, and the consistency of the number of the data server and the number of the client side is ensured through the cooperative work of the change information and the mobile phone side synchronization module.
Compared with the prior art, the invention has the beneficial effects that:
1. the operation system based on the cloud computing, the Internet of things and the AI technology adopts the cloud computing technology, the Internet of things technology and the AI technology, realizes a near-reality operation correction method, and provides rich question types (selection, judgment, filling in empty and the like), various question forms (example questions, voice questions, video questions and the like), and timely and effective notification feedback (operation release, operation completion) so as to provide high-quality network operation service.
2. The network operation subsystem is used as an evaluation support subsystem, the output of the network operation subsystem provides direct data basis for academic level evaluation, and big data analysis and mining can be executed based on the achievement data, so that the educational evaluation is more objective, fair and accurate.
3. The real-time property of the information is ensured, namely, the information is pushed in time even if the information occurs.
4. The information reliability is guaranteed, namely delivery is guaranteed.
Drawings
FIG. 1 is a diagram of the interaction of three subsystems of an educational evaluation, work system and reflex service of the present invention;
FIG. 2 is a flow chart of educational evaluation in accordance with the present invention;
FIG. 3 is an illustration of an evaluation mode of the multi-panelist assessment of the present invention;
FIG. 4 is an illustration of the use of the evaluation modes grouped by indicators and judges in accordance with the present invention;
FIG. 5 is an illustration of the use of the present invention in the form of ratings grouped by rating object and by rating committee;
FIG. 6 is a flow chart of a network operation service based on cloud computing and IOT technology according to an embodiment of the present invention;
FIG. 7 is a system problem solving (point solving) process based on cloud computing and AI technology in accordance with an embodiment of the present invention;
FIG. 8 is a diagram of reflective service activity in accordance with an implementation of the present invention;
figure 9 is a state machine diagram of a reflective service implemented by 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 to 9, the present invention provides a technical solution:
a method for education evaluation based on cloud computing, internet of things, and AI (artificial intelligence), the method comprising the steps of:
a user login step: inputting a correct user name and a correct password to log in a system terminal, wherein the user name and the correct password comprise a browser end or an Android application program;
executing corresponding services according to service requirements: the user can execute corresponding business functions according to actual business requirements, wherein the business functions comprise the steps of making an evaluation plan, executing evaluation, executing real-time evaluation, maintaining indexes, issuing network jobs by teachers and finishing network jobs and log issuing by students;
reflecting data back to the mobile terminal: and synchronizing service data to the teacher mobile terminal, the parent mobile terminal and the student mobile terminal.
An education evaluation system based on cloud computing, Internet of things and AI (artificial intelligence), which comprises an education evaluation subsystem, a network operation subsystem, a reflection service subsystem and a server; the reflection service subsystems carry out information synchronization between the server and the teacher mobile terminal, the student mobile terminal and the parent mobile terminal;
the education evaluation subsystem: the main functions of the method comprise evaluation index maintenance, evaluation plan formulation, evaluation execution and evaluation synchronous data reflection;
the network operation subsystem: the method belongs to the field of evaluation service support subsystems, and has the main functions of question bank question maintenance, network operation release, network operation completion, computer AI (artificial intelligence) question solving and operation synchronous data reflection;
the reflection service subsystem: the system is also a support subsystem category for inputting evaluation service and homework service, and has the main function of sending (registering and delaying sending) service data needing synchronization to the teacher mobile client, the student mobile client and the parent mobile client.
The terminal device includes: a fixed terminal and a mobile terminal device; the learning behaviors of the school include browsing learning related videos, related audios, related documents, doing exercises and testing.
In the education evaluation subsystem, an evaluator creates an evaluation index and an evaluation plan, and firstly, the evaluation index is selected; then, selecting an evaluation object; then, selecting a judge; and finally, issuing an evaluation plan. The system is characterized in that in the network operation subsystem, a teacher maintains the subject information, formulates operation rules according to requirements, and first formulates an operation cover comprising an operation number, a name, start time and end time; then selecting the operation questions, including setting question scores, whether to start the answering process or not, and whether to allow similar answers or not; then selecting students who participate in the homework; and finally executing the job issuing. The system is mainly characterized in that a data synchronization technology between a server and user terminal equipment is provided, firstly, data synchronization events occur, including evaluation plan release, evaluation execution completion and network operation release, operation submission completion, notification change, micro-course change, news change and log change, a mobile terminal logs in a reflection server, then the reflection server detects whether a terminal needing synchronization is online or not, if the terminal needing synchronization is online, the terminal is directly sent, and if the terminal is not online, the synchronization server registers the synchronization data in a storage bin, waits for the online of a related mobile terminal and executes reflection; and finally, after receiving the synchronous data, the synchronous servo thread of the mobile terminal updates a local database and sends the (executed synchronization) identification, and the server updates the sending state and deletes the synchronous data record.
The education process evaluation is composed of an education evaluation subsystem, a network operation subsystem and a reflection service subsystem, and a package solution is provided for implementing the process evaluation. The following is presented in sub-system sections.
First, education evaluation (real-time evaluation and assessment evaluation)
In view of the problems of discreteness of evaluation contents, singularity of evaluation modes, randomness of evaluation results and the like of the existing evaluation system, in order to solve the pain points and difficulties, the comprehensive student literacy evaluation method and technology which are complete, scientific and easy to operate are developed and designed to meet the needs of systematicness, completeness, scientificity and traceability of evaluation.
The technical scheme of the invention for education evaluation is as follows:
the appraisal content is organized into the form of appraisal indexes, and the appraisal indexes are like operation questions and have question type attributes (such as question types of grading questions, selecting questions, non-questions or describing questions). The evaluation process can be summarized as: and a process in which the evaluation index is applied to the evaluation target by the evaluation client to form a result.
The specific operation steps are as follows:
A. making an evaluation rule and releasing the evaluation rule, wherein the evaluation rule is called as making an evaluation plan in a system;
B. according to the evaluation plan rule, executing evaluation and generating evaluation result data;
C. and pushing data such as the evaluation completion condition, the evaluation result and the like to terminals of related personnel and presenting the data.
In the evaluation rule making process, the step a further specifically includes: filling in an evaluation form cover, selecting an evaluation mode, selecting an evaluation index, selecting an evaluation object, selecting a judge, making evaluation rules (such as whether to group or not, how to group and the like) of the judge, and automatically pushing the relevant information of an evaluation task to a judge terminal by the server to be presented after an evaluation plan is stored.
In the evaluation plan execution process, step B specifically includes: and browsing my evaluation task by the evaluation client, executing evaluation according to rules, automatically storing an intermediate temporary result by the server, and automatically generating a formal evaluation result by the system after all evaluation data are formed.
The push presentation process, namely step C, specifically includes: the system automatically detects the completion progress of the evaluation plan, if the current progress is 100%, the system archives the evaluation results for query statistics, and pushes the evaluation results to terminal equipment related to an evaluation object.
In order to adapt to different business requirements, the evaluation business is divided into real-time evaluation and assessment evaluation, the real-time evaluation has the characteristics of instantaneity, randomness, high frequency and the like, the evaluation process can be simply described as selection indexes, an evaluation object is selected, evaluation is executed, and an evaluation result and result feedback are formed; assessment and evaluation need to be carried out by an assessment member after an evaluation plan is firstly made, so as to form an evaluation result, and the system pushes the evaluation result to an equipment terminal.
A system that refers to the above-described evaluation method, comprising:
the evaluation index maintenance module is used for maintaining (including adding, modifying or deleting) the evaluation index;
the evaluation service plan making module is used for making an evaluation plan by a system administrator;
the evaluation service execution module is used for executing a functional module for evaluating service operation;
the student side statistical analysis module is used for a module for allowing a panel client to view, count and analyze the index evaluation result of each student;
the family member terminal statistic analysis module is used for reviewing, counting and analyzing the evaluation result of each child by the evaluation member;
and the evaluation result pushing module is used for pushing the evaluation result to parents, students or a comment equipment terminal.
Specifically, the method comprises the following steps: for real-time evaluation, the panelist selects an evaluation index → the panelist selects an evaluation object → evaluation is performed → evaluation data is formed.
For assessment evaluation, the administrator designates an evaluation plan → the assessment client performs evaluation → forms an evaluation result, and the evaluation process and the result data set will be different according to the selected evaluation mode, and we describe the evaluation result in detail below.
Our evaluation result is a three-dimensional linear space composed of triplets of evaluation indexes, judges and evaluation objects (students or teachers), which can be generally expressed as the following mathematical formula:
V(F)＝F[χ]3。
if i (index) represents an index, o (observer) represents a comment, and E (evaluated) represents an object to be evaluated, { E (index) }000，EioeIs one of its bases, where ioe is the element subscript.
In order to meet the actual flexible and changeable actual conditions, 4 evaluation modes are designed, and the evaluation modes are respectively as follows: evaluating the multi-evaluation assessment, evaluating according to indexes and evaluation groups, evaluating according to evaluation objects and evaluation groups and evaluating by single evaluation, wherein the former three are corresponding to assessment evaluation, and the latter one is corresponding to real-time evaluation; for the results formed by the evaluation of the multi-reviewer evaluation, we can refer to the results as the complete evaluation result set, i.e., the mathematical formula stated above. For the latter three evaluation modes, the evaluation result is a subset of the complete evaluation result, and if F represents the complete evaluation result set and S represents the result set of the latter three evaluation modes, then there will be a set mapping formula δ: s → F, if
I.e. there is a linear mapping σ as follows:
wherein, A represents a two-dimensional linear space composed of an index and an evaluation object, o is an evaluation group element, and for a single evaluation mode, o is 1.
Second, operating system (break established mode, operating system based on Artificial Intelligence (AI))
In order to better support education evaluation services, a subsystem suitable for primary school homework is also invented. The operation system has the characteristics of rich question types, high automation degree, strong expansibility and the like.
A network operation subsystem based on cloud computing, artificial intelligence and Internet of things technology provides a network operation subsystem in a programmed and intelligent mode through research and analysis of AI technology.
In order to achieve the above object, according to one aspect of the present invention, a network operation system based on cloud computing, internet of things and artificial intelligence technology is provided, the subsystem includes a topic type setting module, a topic information maintenance module, an operation publishing module, a network operation completion module and a score feedback module; the modules perform data synchronization (pushing) between the server and mobile clients of teachers, parents and students through a cloud computing technology.
The title question type setting module: the user can set the question type information according to the actual requirement. The operation system of the invention provides rich question type information, including blank filling, judgment, single item selection, multiple item selection, calculation, discussion question, short answer question and other question types;
the title information maintenance module: the serial number, name, description, audio and video accessories, question options, standard answers and approximate answers of the questions are input into a system to form a question information base which can be issued by a teacher, and a user can complete the input operation of the question information only by inputting guide operation;
the operation release module: the teacher can extract the questions to be issued, formulate the rules of the job, such as the set completion time period, the question score, whether to start the answering process, whether to allow similar answers, etc., and then issue;
the network operation completion module: in a set time period, students execute answering and submit, and the system finishes automatic homework automatic correction operation by means of AI technology;
the achievement feedback module is used for: after the teacher issues the homework, the student or the parent terminal can receive the homework task notification, after the student completes the network homework, the parent or the teacher issuing the homework can receive the homework completion notification, and the teacher, the parent or the student can perform operations such as score query and wrong question analysis.
Specifically, the method comprises the following steps:
as shown in FIG. 6, the example network job subsystem portion of the present invention provides a system for topic maintenance, job publishing and AI breakdown scoring of network jobs.
For the conventional network operation service, the specific flow is as follows:
A. the teacher issues network homework, and students or parents receive homework notification;
B. the students complete the network homework and carry out submission;
C. the server realizes automatic problem solving and scoring by using AI and other technologies;
D. and presenting and reporting the answer result.
In the process of issuing the network homework, the step A also comprises the steps of filling a homework cover, setting start time, selecting students, selecting questions in a question bank, correcting scores, starting a question answering process, starting similar answers, executing homework issuing, and enabling the students or parent terminals to receive task notification of the network homework;
in the process that the student completes the network homework, the step B also comprises the steps that the student opens an unfinished homework list on the terminal to complete the network homework and submit;
the server is a determination process of answering and scoring in the process of marking by using an AI (artificial intelligence) technology, a score calculation rule is formulated when a question is input, a similar answer scoring rule is supplemented, and the score is given in the answering process. The AI problem solving scoring module will integrate according to the flow shown in FIG. 7 and repeatedly execute this process until all the problems are resolved.
Standard score of subject
S is the total score of the question, and Wi is the weight of the answer item; since the student's answer sometimes does not match exactly with the standard answer in the system, but the answer is still correct, the existence of similar answers is allowed, and the similar answers score
Wherein Wa is the weight of the similar answer in the standard answer score; if the calculation of the question may need the process of solving the question, the process of answering the question needs to be started, so the scoring formula S with the process of answering the question is SS + AS + PS; wherein SS is standard integral, AS is similar answer integral, PS is score of answering process, and S is final score of a certain question;
in the process of presenting and reporting the answer result, the step D further comprises the following steps: forming question history data (basic data for evaluation), and pushing results to publishing teachers, students and parent equipment terminals by the server.
Three, reflection server
In order to overcome the defects that most of the application of a mainstream App + Web framework is lack of an information reflection middleware, so that the server has slow response, heavy server load, disordered client data, incapability of actively pushing and the like, and can better serve an evaluation and network operation platform to enable the platform to be an adhesive between terminals, the information reflection subsystem is invented.
An information reflection subsystem based on cloud computing and the technology of the Internet of things realizes a system method for quickly feeding back server information to teachers, students or parent terminals by researching and relating the specific structure and the allowable mode of the Internet of things.
In order to achieve the above object, in one aspect of the present invention, an information reflection (push) subsystem based on cloud computing and internet of things technology is provided, where the system includes a server-side servo module, a mobile phone terminal (client) synchronization module, a synchronous data storage bin, and a push generator module; the cooperative work among the modules forms the networking and cloud synchronization of the terminal equipment;
the server side servo module is a server component which runs in all weather, and the main function of the server side servo module is to send (reflect) data which needs to be synchronized to each equipment terminal;
the mobile phone terminal synchronization module: the user terminal App runs a synchronous data receiving servo thread, once synchronous data are transmitted, the module automatically decrypts the synchronous information, updates a database of the local equipment terminal, and then informs the end user that the information is changed and is expected to be consulted;
the synchronous data storage bin comprises: the synchronous information is stored in a data storage bin of a server side, and if an equipment terminal needing receiving is online, the synchronous information is directly pushed; if the terminal needing to receive the information is not on line, the synchronous information is registered in the data storage bin, and the terminal logs in the server and then reflects and pushes the synchronous information;
the push generator module: when a user logs in App on a terminal, account switching, content changing or other important information changing (such as notification changing, news changing, micro-class changing, job issuing or finishing, evaluation plan issuing or finishing and the like), the server servo module sends changing information to the mobile phone end synchronization module, and consistency of the data server and the client end is guaranteed through cooperative work of the changing information and the mobile phone end synchronization module.
Specifically, the synchronized data information includes: device-level and user-level data; the device level data represents public data in a device, the user level data represents private data owned by each user, and the device level data and the user level data have a definite definition mode and an information processing mode;
specifically, the system adopts the flow of receiving → processing → feedback, so that the server is ensured to send each piece of data to the equipment terminal;
as shown in fig. 8 and 9, the embodiment of the invention provides an information reflection system based on cloud computing and internet of things technology.
1. After the teacher issues homework, the evaluation plan issues, after contents such as notification or news issue, after the terminal logs in, after the student completes homework or after the evaluation service is executed, the Web server serves as a reflection generator and sends the contents to be synchronized to the synchronization server;
2. after receiving the content to be synchronized, the reflection server retrieves the online related terminal equipment, if the content is online, the content is directly pushed to the equipment terminal by using a TCP/IP protocol, if some content is not online, the content to be synchronized is stored in a data storage bin, and after the terminal equipment is online, the content is automatically pushed;
3. after the device terminal logs in, the reflection server automatically retrieves the content to be synchronized from the data storage bin and directly sends the content to the terminal device, the synchronization servo thread of the terminal device receives, decodes and updates the local data and then sends the executed synchronization identifier to the reflection server, and after the reflection server receives the identifier, the data storage bin is updated to indicate that the data items are synchronized, and the synchronization data are deleted.
The system mainly comprises three subsystems of education evaluation, an operation system and reflection service, realizes the process evaluation with higher informatization and automation degrees, and the interactive mode is shown in figure 1.
The invention provides an operation system based on cloud computing, Internet of things and AI technology, which adopts the cloud computing technology, the Internet of things technology and the AI technology to realize a near-reality operation correction method, and provides rich question types (selection, judgment, filling in empty and the like), various question forms (example questions, voice questions, video questions and the like), and timely and effective notification feedback (operation release and operation completion), thereby providing high-quality network operation service.
In the invention, the network operation subsystem is used as an evaluation support subsystem, the output of the network operation subsystem provides a direct data basis for academic level evaluation, and big data analysis and mining can be executed based on the score data, so that the education evaluation is more objective, fair and accurate.
The invention ensures the real-time property of the information, namely, the information is pushed in time even if the information occurs.
The invention ensures the reliability of the information, namely, the delivery.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. An education evaluation method based on cloud computing, the Internet of things and AI is characterized by comprising the following steps:
step 1: making an evaluation rule and issuing the evaluation rule to a system terminal;
step 2: inputting a correct user name and a correct password to log in a system terminal;
and step 3: the user can execute corresponding service functions according to actual service requirements;
and 4, step 4: and synchronizing the service data to the mobile terminal.
2. The education evaluation method based on the cloud computing, the Internet of things and the AI according to claim 1, wherein the evaluation rule making in step 1 comprises making an evaluation plan, performing assessment evaluation, performing real-time evaluation, index maintenance, a teacher issuing network jobs, a student completing network jobs and log issuing, and the system terminal in step 2 comprises a browser terminal or an Android application program; and 3, executing evaluation according to the evaluation plan rule to generate evaluation result data, and pushing the evaluation result data to terminals of related personnel and presenting the evaluation result data in step 4, wherein the mobile terminals comprise a teacher mobile terminal, a parent mobile terminal and a student mobile terminal.
3. The education evaluation method based on the cloud computing, the internet of things and the AI as claimed in claim 2, wherein in the process of making the evaluation rule, the method comprises: filling in an evaluation form cover, selecting an evaluation mode, selecting an evaluation index, selecting an evaluation object, selecting a judge and making an evaluation rule of the judge, and after storing an evaluation plan, automatically pushing the relevant information of an evaluation task to a judge terminal by the server for presentation.
4. The education evaluation method based on the cloud computing, the internet of things and the AI as claimed in claim 2, wherein in the evaluation plan execution process, the method comprises: and browsing my evaluation task by the evaluation client, executing evaluation according to rules, automatically storing an intermediate temporary result by the server, and automatically generating a formal evaluation result by the system after all evaluation data are formed.
5. The education evaluation method based on the cloud computing, the Internet of things and the AI as claimed in claim 2, wherein the system automatically detects the completion progress of the evaluation plan, if the current progress is 100%, the system archives the evaluation results for query statistics and pushes the evaluation results to the terminal devices related to the evaluation objects.
6. An education evaluation system based on cloud computing, the Internet of things and AI is characterized by comprising an education evaluation subsystem, a network operation subsystem and a reflection service subsystem; wherein:
the education evaluation subsystem is used for evaluating index maintenance, making an assessment and evaluation plan, evaluating execution and evaluating synchronous data reflection;
the network operation subsystem is used for maintaining questions of the question bank, issuing network operation, completing the network operation, solving questions by the computer AI and reflecting operation synchronous data;
and the reflection service subsystem is used for sending the service data needing synchronization to the mobile terminal.
7. The cloud computing, internet of things and AI based educational evaluation system of claim 6, wherein the educational evaluation subsystem comprises:
the evaluation index maintenance module is used for maintaining the evaluation index;
the evaluation service plan making module is used for making an evaluation plan by a system administrator;
the evaluation service execution module is used for executing a functional module for evaluating service operation;
the student side statistical analysis module is used for a module for allowing a panel client to view, count and analyze the index evaluation result of each student;
the family member terminal statistic analysis module is used for reviewing, counting and analyzing the evaluation result of each child by the evaluation member;
and the evaluation result pushing module is used for pushing the evaluation result to parents, students or a comment equipment terminal.
8. The cloud computing, internet of things and AI based educational evaluation system of claim 6, wherein the network operations subsystem comprises:
topic type setting module: the method is used for setting question type information according to actual needs by a user;
a topic information maintenance module: the system is used for inputting the serial number, name, description, audio and video accessories, question options, standard answers and approximate answers of the questions into the system to form a question information base which can be issued by teachers, and users can finish the inputting operation of the question information only by inputting guide operation;
an operation release module: the method is used for a teacher to extract the questions to be issued, formulate the rules of the operation, and issue the questions if the completion time period, the question scores, whether to start the answering process or not and whether to allow similar answers or not can be set;
a network operation completion module: the system is used for answering and submitting students in a set time period, and the system finishes automatic homework automatic correction operation by means of AI technology;
the score feedback module: the teacher terminal is used for receiving the homework task notification after the teacher issues homework, receiving the homework completion notification after the student completes network homework and receiving the homework completion notification by the parents or a teacher issuing homework, and performing score query and wrong question analysis operation by the teacher, the parents or the student.
9. The cloud computing, internet of things and AI based educational evaluation system of claim 6, wherein the reflex service subsystem comprises:
server side servo module: the system is used for sending data to be synchronized to each equipment terminal;
the mobile phone terminal synchronization module: the method comprises the steps that a synchronous data receiving servo thread runs on a user terminal App, once synchronous data are transmitted, a module automatically decrypts synchronous information, updates a database of a local equipment terminal, and then informs a final user that the information is changed and is expected to be consulted;
the synchronous data storage bin: the synchronous information is stored in a data storage bin of the server side, and if the equipment terminal needing receiving is online, the synchronous information is directly pushed; if the terminal needing to receive the information is not on line, the synchronous information is registered in the data storage bin, and the terminal logs in the server and then reflects and pushes the synchronous information;
a push generator module: the method is used for sending the change information to the mobile phone side synchronization module by the server servo module when a user logs in the App on the terminal, account switching, content changing or other important information changing, and the consistency of the number of the data server and the number of the client side is ensured through the cooperative work of the change information and the mobile phone side synchronization module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911404752.3A CN111081107B (en) | 2019-12-30 | 2019-12-30 | Education evaluation method and system based on cloud computing, internet of things and AI |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911404752.3A CN111081107B (en) | 2019-12-30 | 2019-12-30 | Education evaluation method and system based on cloud computing, internet of things and AI |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111081107A true CN111081107A (en) | 2020-04-28 |
| CN111081107B CN111081107B (en) | 2023-02-03 |
Family
ID=70320240
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911404752.3A Active CN111081107B (en) | 2019-12-30 | 2019-12-30 | Education evaluation method and system based on cloud computing, internet of things and AI |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111081107B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115134116A (en) * | 2022-05-25 | 2022-09-30 | 中国信息通信研究院 | Method and device for verifying identity of internet registered user, server and storage medium |
| CN116151784A (en) * | 2023-04-21 | 2023-05-23 | 广州闪畅信息科技有限公司 | Student comment system and device |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100129783A1 (en) * | 2008-11-25 | 2010-05-27 | Changnian Liang | Self-Adaptive Study Evaluation |
| KR20110096359A (en) * | 2010-02-22 | 2011-08-30 | 이승수 | System and method for providing educational service interworking with computer use |
| CN104680865A (en) * | 2013-11-30 | 2015-06-03 | 三科信息技术（大连）有限公司 | Public security educational training system with statistical analyzing function |
| CN204650804U (en) * | 2015-05-27 | 2015-09-16 | 武汉颂大教育科技股份有限公司 | A kind of Students' evaluation system based on cloud education services platform |
| CN105809593A (en) * | 2016-03-04 | 2016-07-27 | 北京华云天科技有限公司 | Score generating method and device |
| CN105989754A (en) * | 2015-02-11 | 2016-10-05 | 阜阳师范学院 | Cloud tutoring system |
| CN106683014A (en) * | 2017-03-28 | 2017-05-17 | 深圳市校联宝科技有限公司 | Method and system for evaluating students |
| 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 |
| CN108364513A (en) * | 2018-01-12 | 2018-08-03 | 安徽安必生信息科技有限公司 | Wisdom classroom realization method and system based on high in the clouds |
| CN108648542A (en) * | 2018-05-29 | 2018-10-12 | 黑龙江省经济管理干部学院 | A kind of internet database network-based classroom instruction system |
| CN109360131A (en) * | 2018-11-08 | 2019-02-19 | 苏州友教习亦教育科技有限公司 | Cloud computing tutoring system |
-
2019
- 2019-12-30 CN CN201911404752.3A patent/CN111081107B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100129783A1 (en) * | 2008-11-25 | 2010-05-27 | Changnian Liang | Self-Adaptive Study Evaluation |
| KR20110096359A (en) * | 2010-02-22 | 2011-08-30 | 이승수 | System and method for providing educational service interworking with computer use |
| CN104680865A (en) * | 2013-11-30 | 2015-06-03 | 三科信息技术（大连）有限公司 | Public security educational training system with statistical analyzing function |
| CN105989754A (en) * | 2015-02-11 | 2016-10-05 | 阜阳师范学院 | Cloud tutoring system |
| CN204650804U (en) * | 2015-05-27 | 2015-09-16 | 武汉颂大教育科技股份有限公司 | A kind of Students' evaluation system based on cloud education services platform |
| CN105809593A (en) * | 2016-03-04 | 2016-07-27 | 北京华云天科技有限公司 | Score generating method and device |
| CN106683014A (en) * | 2017-03-28 | 2017-05-17 | 深圳市校联宝科技有限公司 | Method and system for evaluating students |
| 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 |
| CN108364513A (en) * | 2018-01-12 | 2018-08-03 | 安徽安必生信息科技有限公司 | Wisdom classroom realization method and system based on high in the clouds |
| CN108648542A (en) * | 2018-05-29 | 2018-10-12 | 黑龙江省经济管理干部学院 | A kind of internet database network-based classroom instruction system |
| CN109360131A (en) * | 2018-11-08 | 2019-02-19 | 苏州友教习亦教育科技有限公司 | Cloud computing tutoring system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115134116A (en) * | 2022-05-25 | 2022-09-30 | 中国信息通信研究院 | Method and device for verifying identity of internet registered user, server and storage medium |
| CN115134116B (en) * | 2022-05-25 | 2024-03-26 | 中国信息通信研究院 | Method and device for verifying identity of Internet registered user, server and storage medium |
| CN116151784A (en) * | 2023-04-21 | 2023-05-23 | 广州闪畅信息科技有限公司 | Student comment system and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111081107B (en) | 2023-02-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11776080B2 (en) | Automatically generating a personalized course profile | |
| US20140120511A1 (en) | TeachAtCafe - TeaChatCafe, Transparent Digital and Social Media as an Open Network Communication and Collaboration Tool with User Driven Content and Internet Content Submission Capability for Educators and Their Students | |
| US20150310757A1 (en) | Method and apparatus enabling a case-study approach to online learning | |
| EP1565831A4 (en) | Survey system | |
| CN109242562A (en) | Ranking method, device and the storage medium of supplier | |
| CN111081107B (en) | Education evaluation method and system based on cloud computing, internet of things and AI | |
| Waiwaiole et al. | Student success: Identifying high‐impact practices | |
| CN113269662A (en) | Intelligent teaching system based on big data | |
| CN111932414A (en) | Training management system and method, computer storage medium and electronic equipment | |
| US20140342325A1 (en) | Automatically generating a curriculum tailored for a particular employment position | |
| CN105788388A (en) | WiFi-Direct-based classroom question-answering system | |
| CN112365225A (en) | Online learning management system based on special service skill improvement | |
| CN107730410A (en) | A kind of design and realization of Students' evaluation system | |
| KR101808631B1 (en) | Method of posting poll response and a poll service server providing the method thereof | |
| CN111105198A (en) | Instant question-answering platform system based on network | |
| Graul et al. | Comparative analysis of blended learning tools applications in the process of students education and employees training | |
| CN110689462A (en) | Personal education information management platform based on Internet | |
| KR20150043861A (en) | Online voting and quiz providing system and method | |
| Nnadozie | Interaction between Librarians' ICT Skills and Faculty Members’ Satisfaction with Information Delivery in University Libraries | |
| RU2769644C1 (en) | Online higher education system | |
| Alhadad et al. | The role of using mobile social media learning in Libyan higher education | |
| KR20100117408A (en) | Method, system and computer-readable recording medium for providing study information | |
| Zhang et al. | Exploring the Impact of O2O Teaching Product Characteristics on Continuous Use Intention | |
| Han | Design and Implementation of Vocational Education Management System Based on Discrete Fourier Transform | |
| Clarin et al. | Web-Based Information System Portal with SMS Support For Aklan State University-Kalibo Campus |
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 |