CN114139976A - Method, computer and storage medium for adjusting learning level and shift of intelligent cloud foreign language multimedia based on assessment result - Google Patents
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Abstract
The invention provides a method for adjusting learning grade and shift of intelligent cloud foreign language multimedia based on an assessment result, a computer and a storage medium, and belongs to the technical field of cloud teaching. Firstly, a teacher initiates an assessment request to a teaching application layer; secondly, the students extract examination papers from the examination questions in the teaching application layer to take examinations; thirdly, the autonomous learning layer obtains test paper information T; thirdly, judging the test scores, the associated knowledge and the scoring conditions on the special subjects of the students for analysis; thirdly, the foreign language learning status of the student is portrayed continuouslyCorrecting artificial intelligence to obtain a reasonable teaching scheme and providing a scientific learning plan; thirdly, periodically updating the class model, and collecting the students S which are not in the confidence interval KiAdjusting to classes with different difficulty levels; finally, the execution teaching plan M is updatedj(∑Pi) And a learning plan Pi。
Description
Technical Field
The application relates to a method, a computer and a storage medium for adjusting learning level and shift of intelligent cloud foreign language multimedia based on an assessment result, and belongs to the technical field of cloud teaching.
Background
The application development of the artificial intelligence technology is widely applied to various fields of society, and the comprehensive reform of quality education is promoted. Compared with the traditional education mode, the network education of the artificial intelligence technology has rich teaching resource information. In the teaching of foreign language subjects, the traditional teaching mode is not enough for students to deeply learn detailed knowledge, so a foreign language teaching resource information comprehensive management system needs to be designed for advocating a network teaching mode.
The traditional foreign language teaching method mainly focuses on classroom teaching and extraclass tutoring and is low in efficiency. The layered teaching is to respect the differences of students, implement the teaching according to the factors, and pursue each layer of students to improve in the teaching, thereby realizing the teaching idea of each student. The layered teaching is one of effective ways for implementing quality education and adapting to the current talent culture mode in China. The layered teaching is an optimization of the traditional class teaching system, and is a teaching innovation realized on the basis of the class teaching system.
With the implementation of information strategy of Internet + and artificial intelligence proposed in China, the application and research of Internet-based foreign language teaching modes are greatly developed. An auxiliary teaching mode taking information multimedia as a medium and a computer as a carrier increasingly becomes the mainstream, and meanwhile, the occurrence of the internet, artificial intelligence and the network greatly improves the fragmentation learning efficiency of urban crowds. Therefore, it is necessary to develop an intelligent cloud foreign language multimedia system to adjust the learning level and the shift based on the examination result, and the artificial intelligence technology is utilized to comprehensively consider the learning acceptance, interests, hobbies, attitudes and other non-intelligent factors of students based on the academic achievement obtained by the students, so that the students are divided into different levels based on the subject, and the multi-type and multi-level student hierarchical mesh structure of different subjects and different levels is realized.
CN 112309183A-interactive listening and speaking practice system suitable for foreign language teaching, discloses that the interactive listening and speaking practice system suitable for foreign language teaching comprises: user terminal and application server, an interactive listening and speaking practice system suitable for foreign language teaching which can effectively realize the simulation of real dialogue scene. 2-CN 109255994A-a foreign language teaching self-adaptive learning method and computer readable storage medium, discloses a foreign language teaching self-adaptive learning method and computer readable storage medium, realizing personalized teaching, teaching according to the material and improving the teaching quality.
The technology of the invention can only utilize a computer system to realize simple listening and speaking practice of foreign language teaching, can not reasonably realize the adjustment of the learning grade and class of students according to the learning feedback result, and realizes intelligent management and learning guidance of different subjects, different levels, multi-type and multi-level learning ability mesh structures. Therefore, the invention provides a method, a computer and a storage medium for adjusting the learning level and the shift of the intelligent cloud foreign language multimedia based on the assessment result.
Disclosure of Invention
The following presents a simplified summary of the invention in order to provide a basic understanding of some aspects of the invention. It should be understood that this summary is not an exhaustive overview of the invention. It is not intended to determine the key or critical elements of the present invention, nor is it intended to limit the scope of the present invention. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is discussed later.
In view of the above, the invention provides a method for adjusting learning grade and shift of intelligent cloud foreign language multimedia based on assessment results, which aims to solve the technical problems that the adjustment of learning grade and shift of students cannot be reasonably realized according to the learning feedback results, and the intelligent management and learning guidance of different subjects, different levels, multi-type and multi-level learning ability mesh structures cannot be realized in the prior art.
The first scheme is that the method for adjusting the learning level and the shift of the intelligent cloud foreign language multimedia based on the assessment result comprises the following steps:
firstly, a teacher initiates an assessment request to students and simultaneously provides test paper difficulty, confidence coefficient and coverage range;
secondly, the students extract test paper from the test questions to take examinations and receive the test paper returned by the students;
thirdly, extracting test paper sound or images through voice recognition and image recognition to perform accurate recognition and automatic analysis, and obtaining test paper information T;
step four, passing the test paper information TiJudging the test scores, associated knowledge and special subject scoring conditions of the students for analysis to obtain student personal summary SiThe conditions of absolute scores and knowledge mastering conditions are included;
step five, periodically obtaining the student class model M (sigma S)i) Portraying the foreign language learning status of students HiObtaining teaching plan and giving learning plan P by continuously correcting personi；
Step six, periodically updating the class model Mj(∑Si) And according to the artificial intelligence deviation algorithm, the students S which are not in the confidence interval K are judgediAdjusting to classes with different difficulty levels, e.g. the students above confidence interval K call into higher class, and updating Mj+1(∑Si) Students below confidence interval K call in lower class and update Mj-1(∑Si)；
Step seven, according to the updated class model Mj(∑Si) Calculating next class teaching plan Mj(∑Pi) Teacher and student update execution teaching plan Mj(∑Pi) And a learning plan Pi。
Scheme II: a computer comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the method of the scheme two, the scheme three and the scheme four when executing the computer program.
The third scheme is as follows: a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method of solution two, solution three and solution four.
The invention has the following beneficial effects:
1. the method gives full play to the technical advantages of artificial intelligence, comprehensively considers the learning receptivity, interests, hobbies, attitudes and other non-intelligent factors of students on the basis of the acquired academic effects of the students, divides the students into different levels on the basis of the subject as a category in an all-round manner, realizes the layered mesh structure of the multi-type and multi-level students of different subjects and different levels, and realizes the dynamic tracking and adjustment of the graded and separated classes of the students.
2. The intelligent cloud foreign language multimedia can adjust the learning grade and shift based on the assessment result, so that a reasonable seat arrangement mode can be realized, cooperative learning between 'goodness' and 'badness' in a student small group and guidance of goodness to badness can be realized, and the qualities of mutual assistance, cooperation, work and the like among students can be cultured.
3. The artificial intelligence technology is utilized to carry out learning blind spot mining and learning psychological tutoring aiming at students in a grading and shift manner, and the influence of the label effect brought by rough grading and shift on the psychological burden of the students is weakened.
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The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic flow chart of the present invention.
Detailed Description
In order to make the technical solutions and advantages of the embodiments of the present application more apparent, the following further detailed description of the exemplary embodiments of the present application with reference to the accompanying drawings makes it clear that the described embodiments are only a part of the embodiments of the present application, and are not exhaustive of all embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The embodiment is described with reference to fig. 1-2, and the invention provides a method for adjusting learning level and shift of intelligent cloud foreign language multimedia based on an assessment result, which is realized based on an intelligent cloud foreign language multimedia teaching system;
the system comprises a teacher side and a student side which are respectively connected with a cloud side, wherein the teacher side and the student side realize data transmission in a wide area network or internet mode;
the teacher surface is a teacher user terminal, and the terminal is an operation terminal of a computer host and mobile equipment; at least one of the teacher user terminal;
the teacher side is mainly responsible for realizing data sharing, namely sharing of teaching contents, and can start the cloud side artificial intelligent module to carry out planning and teaching effect evaluation of daily teaching.
Specifically, the teacher can realize system login registration, personal center management and announcement publishing, courseware filing and uploading, article reading and learning, course arrangement and the like.
Specifically, teaching data such as courseware, test questions and answers uploaded by a teacher user terminal on the teacher side are stored in a data interaction layer; the student user terminal of the student side can extract teaching data through the teaching application layer at any time.
The student surface is a student user terminal, and the terminal is an operation terminal of a computer host and mobile equipment; at least one of the student user terminals;
specifically, the student side can realize the registration, login, checking and management of personal information, foreign language reading, listening, speaking, reading and writing of students, selection and examination of foreign language courses, issuing, implementing and supervising of learning plans and the like.
Specifically, the student user terminals on the student side can extract teaching data, such as learning, examination and examination results, stored in the data interaction layer by the teacher user on the teacher side through the teaching application layer at any time.
The cloud surface comprises a teaching application layer, a data interaction layer, an autonomous learning layer and a cloud management layer;
the teaching application layer comprises a remote examination module and an examination normalized recording and broadcasting system; the remote examination control module is used for initiating an examination for the student; the normalized recording and playing system is used for realizing the collection and playing of image information between teachers and students; outputting multimedia examination contents for the student examination;
the teaching application layer is used for transmitting the teaching contents in a video and audio mode; the collection and the playing of the image information between the teacher surface and the student surface are realized;
specifically, the teaching application layer extracts teaching data through the data interaction layer.
The normalized recording and broadcasting system is used for outputting the multimedia examination provided by the teacher user terminal to the student user terminals, receiving the examination results output by the student user terminals and transmitting the examination results to the data interaction layer for storage;
the data interaction layer is used for storing teaching information, test paper answers and analysis results;
the data interaction layer comprises an exercise storage module, a real exercise storage module, a teaching resource storage module and a teaching courseware storage module;
specifically, the storage module creates folders according to the categories of the teaching data, and the categories of different types of teaching data are stored in the corresponding folders.
Specifically, the data stored in the data interaction layer can be extracted at any time by the teaching application layer, the autonomous learning layer, the teacher side and the student side.
The autonomous learning layer is used for the teacher to mine the learning characteristics and pronunciation defects of the student, make a learning plan and allocate classes;
the autonomous learning layer comprises a voice recognition module, an image recognition module and an artificial intelligence module; the artificial intelligence module comprises a neural network, and the neural network is a deep neural network, a convolutional neural network or a residual neural network.
Specifically, the autonomous learning layer utilizes the artificial intelligence module to excavate the foreign language pronunciation defects of students, analyze student test paper, excavate the learning blind areas of students and make the learning plan according with the learning characteristics of the students.
Specifically, a teacher user terminal on the teacher side can use an artificial intelligence module on the autonomous learning layer to design teaching plans in a layered mode, and network classes are arranged for students.
The cloud management layer comprises an operation control system and an account number distribution system; the account number distribution system performs data interaction with the teaching application layer; the operation control system is used for controlling various functions in the system. And the cloud management layer is used for controlling and managing the system.
Specifically, the teacher user terminal on the teacher side can control each function in the system through the operation control system on the cloud management layer.
Specifically, the account allocation system comprises an independent account data set, multivariate safety equipment data and network equipment data, and is used for classifying according to the safety equipment data and the network equipment data, establishing a safety log, and classifying and identifying data contents.
Specifically, the system further comprises a system administrator terminal, wherein the system administrator terminal is a system administrator user, the system administrator user can grant permission levels of the student user terminal and the teacher user terminal, and can arrange databases of the data interaction layer, including course arrangement, article content, announcement information release and the like.
A method for adjusting learning level and shift of intelligent cloud foreign language multimedia based on assessment results comprises the following steps:
firstly, a teacher initiates an assessment request to a teaching application layer, and simultaneously, the difficulty, confidence and coverage of a test paper are put forward in the teaching application layer;
secondly, the students extract examination papers from the examination questions in the teaching application layer to take examinations, and receive examination paper results returned by the students and transmit the examination papers to the data interaction layer, and the artificial intelligence module of the autonomous learning layer extracts examination results stored in the data interaction layer;
specifically, the artificial intelligence module is a neural network, and the neural network is a deep neural network, a convolutional neural network and a residual neural network.
Thirdly, extracting test paper sound or images for accurate recognition and automatic analysis by the voice recognition and the image recognition of the autonomous learning layer to obtain test paper information T;
step four, the artificial intelligence module passes the test paper information TiJudging the test scores, associated knowledge and special subject scoring conditions of the students for analysis to obtain student personal summary SiThe conditions of absolute scores and knowledge mastering conditions are included;
step five, the artificial intelligence module regularly performs the operation according to the student class model M (sigma S)i) Portraying the foreign language learning status of students HiObtaining a reasonable teaching scheme and giving a scientific learning plan P by continuously correcting artificial intelligencei；
Step six, the artificial intelligence module periodically updates the class model Mj(∑Si) And according to the artificial intelligence deviation algorithm, the students S which are not in the confidence interval K are judgediAdjusting to classes with different difficulty levels, e.g. the students above confidence interval K call into higher class, and updating Mj+1(∑Si) Students below confidence interval K call in lower class and update Mj-1(∑Si)；
Step seven, the artificial intelligence module is used for updating the class model Mj(∑Si) Calculating next class teaching plan Mj(∑Pi) The teacher side and the student side update and execute the teaching scheme M through the teaching application layerj(∑Pi) And a learning plan Pi。
Embodiment 2 discloses a computer, and the computer device of the present invention may be a device including a processor, a memory, and the like, for example, a single chip microcomputer including a central processing unit, and the like. And the processor is used for implementing the steps of the recommendation method capable of modifying the relationship-driven recommendation data based on the CREO software when executing the computer program stored in the memory.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Embodiment 3 computer-readable storage Medium
The computer readable storage medium of the present invention may be any form of storage medium that can be read by a processor of a computer device, including but not limited to non-volatile memory, ferroelectric memory, etc., and the computer readable storage medium has stored thereon a computer program that, when the computer program stored in the memory is read and executed by the processor of the computer device, can implement the above-mentioned steps of the CREO-based software that can modify the modeling method of the relationship-driven modeling data.
The computer program comprises computer program code which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
While the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of this description, will appreciate that other embodiments can be devised which do not depart from the scope of the invention as described herein. Furthermore, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. Accordingly, many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the appended claims. The present invention has been disclosed in an illustrative rather than a restrictive sense, and the scope of the present invention is defined by the appended claims.
Claims (3)
1. A method for adjusting learning grade and shift of intelligent cloud foreign language multimedia based on assessment results is characterized by comprising the following steps:
firstly, a teacher initiates an assessment request to students and simultaneously provides test paper difficulty, confidence coefficient and coverage range;
secondly, the students extract test paper from the test questions to take examinations and receive the test paper returned by the students;
thirdly, extracting test paper sound or images through voice recognition and image recognition to perform accurate recognition and automatic analysis, and obtaining test paper information T;
step four, passing the test paper information TiJudging the test scores, associated knowledge and special subject scoring conditions of the students for analysis to obtain student personal summary SiThe conditions of absolute scores and knowledge mastering conditions are included;
step fivePeriodically according to the student class model M (Sigma S)i) Portraying the foreign language learning status of students HiObtaining teaching plan and giving learning plan P by continuously correcting personi；
Step six, periodically updating the class model Mj(∑Si) And according to the artificial intelligence deviation algorithm, the students S which are not in the confidence interval K are judgediAdjusting to classes with different difficulty levels, e.g. the students above confidence interval K call into higher class, and updating Mj+1(∑Si) Students below confidence interval K call in lower class and update Mj-1(∑Si)；
Step seven, according to the updated class model Mj(∑Si) Calculating next class teaching plan Mj(∑Pi) Teacher and student update execution teaching plan Mj(∑Pi) And a learning plan Pi。
2. A computer, characterized in that it comprises a memory and a processor, the memory storing a computer program, the processor implementing the steps of the method of claim 1 when executing the computer program.
3. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of claim 1.
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