CN117153005A - Teaching method, device, computer equipment and storage medium based on English word teaching platform - Google Patents
Teaching method, device, computer equipment and storage medium based on English word teaching platform Download PDFInfo
- Publication number
- CN117153005A CN117153005A CN202211668381.1A CN202211668381A CN117153005A CN 117153005 A CN117153005 A CN 117153005A CN 202211668381 A CN202211668381 A CN 202211668381A CN 117153005 A CN117153005 A CN 117153005A
- Authority
- CN
- China
- Prior art keywords
- learning
- word
- student
- teaching
- english
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000011156 evaluation Methods 0.000 claims abstract description 35
- 230000000694 effects Effects 0.000 claims abstract description 21
- 238000004590 computer program Methods 0.000 claims description 18
- 238000004458 analytical method Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 description 6
- 238000012552 review Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000002354 daily effect Effects 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 230000003203 everyday effect Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 235000019800 disodium phosphate Nutrition 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000007786 learning performance Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
Classifications
-
- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
-
- 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
- G09B19/00—Teaching not covered by other main groups of this subclass
- G09B19/06—Foreign languages
-
- 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
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
-
- 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
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
- G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Primary Health Care (AREA)
- Human Resources & Organizations (AREA)
- General Business, Economics & Management (AREA)
- General Health & Medical Sciences (AREA)
- Economics (AREA)
- Marketing (AREA)
- Animal Behavior & Ethology (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Electrically Operated Instructional Devices (AREA)
Abstract
The application relates to a teaching method, a device, computer equipment and a storage medium based on an English word teaching platform, wherein the method comprises the following steps: acquiring uploaded word textbook content, creating a class, and associating the class with a corresponding English textbook; according to the English textbook, a universal English word learning task is established regularly according to the teaching plan; generating a personalized word learning scheme for each student according to the universal English word learning task, the learning ability evaluation level of the student, the English word knowledge graph and the student ID; acquiring learning data of students on a personalized word learning scheme; and analyzing the learning condition of the students according to the learning data, and evaluating the learning effect. The application divides the online English word learning into a teacher end and a student end, helps the teacher master the English word learning condition of the students, enhances the association between the teacher and the students in the online English word learning, and further improves the quality and the efficiency of the online English word learning.
Description
Technical Field
The application relates to the technical field of English word teaching, in particular to a teaching method, a teaching device, computer equipment and a storage medium based on an English word teaching platform.
Background
The current popular English word learning software on the market is mainly oriented to students from students and senior grades, and does not accord with the learning characteristics of poor self-made ability of the students in the obligation education stage. In addition, when the related words are recommended for students, the words conforming to the learning ability of the learner are not recommended for the learner from the learning ability of the learner, and the teaching in accordance with the material cannot be achieved.
Disclosure of Invention
The application aims to overcome the defects of the prior art and provides a teaching method, a teaching device, computer equipment and a storage medium based on an English word teaching platform.
In order to solve the technical problems, the application adopts the following technical scheme:
in a first aspect, the present embodiment provides a teaching method based on an english word teaching platform, including the following steps:
acquiring uploaded word textbook content, creating a class, and associating the class with a corresponding English textbook;
according to the English textbook, a universal English word learning task is established regularly according to the teaching plan;
generating a personalized word learning scheme for each student according to the universal English word learning task, the learning ability evaluation grade of the student, the English word knowledge graph and the student I D;
acquiring learning data of students on a personalized word learning scheme;
and analyzing the learning condition of the students according to the learning data, and evaluating the learning effect.
The further technical scheme is as follows: the learning ability evaluation level of the student is calculated according to the time spent by the student for learning words, the task amount of the student for learning words and the word amount actually learned by the student.
The further technical scheme is as follows: in the step of acquiring the learning data of the student on the personalized word learning scheme, when the student learns a certain word, the associated memory word related to the word is displayed.
The further technical scheme is as follows: the step of analyzing the learning condition of the student according to the learning data and evaluating the learning effect further comprises the following steps: and adjusting the learning ability evaluation grade of the student according to the learning effect.
In a second aspect, this embodiment provides a teaching device based on english word teaching platform, including: the method comprises the steps of acquiring a creation association unit, a creation unit, a generation unit, an acquisition unit and an analysis and evaluation unit;
the acquiring and creating association unit is used for acquiring the uploaded word textbook content, creating a class and associating the class with the corresponding English textbook;
the creation unit is used for regularly creating a universal English word learning task according to the teaching plan according to the English textbook;
the generating unit is used for generating a personalized word learning scheme for each student according to the universal English word learning task, the learning ability evaluation level of the student, the English word knowledge graph and the student ID;
the acquisition unit is used for acquiring learning data of the students on the personalized word learning scheme;
the analysis and evaluation unit is used for analyzing the learning condition of the students according to the learning data and evaluating the learning effect.
The further technical scheme is as follows: the learning ability evaluation level of the student is calculated according to the time spent by the student for learning words, the task amount of the student for learning words and the word amount actually learned by the student.
The further technical scheme is as follows: in the acquisition unit, when a student learns a certain word, an associative memory word associated with the word is presented.
The further technical scheme is as follows: the apparatus further comprises: and the adjusting unit is used for adjusting the learning ability evaluation grade of the student according to the learning effect.
In a third aspect, the present embodiment provides a computer device, where the computer device includes a memory and a processor, where the memory stores a computer program, and the processor implements the teaching method based on the english word teaching platform when executing the computer program.
In a fourth aspect, the present embodiment provides a storage medium storing a computer program comprising program instructions which, when executed by a processor, implement the teaching method based on the english word teaching platform as described above.
Compared with the prior art, the application has the beneficial effects that: the online English word learning is divided into a teacher end and a student end, so that a teacher is helped to master the English word learning condition of students, the association between the teacher and the students in the online English word learning is enhanced, and the quality and the efficiency of the online English word learning are improved.
The application is further described below with reference to the drawings and specific embodiments.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a teaching method based on an english word teaching platform according to an embodiment of the application;
FIG. 2 is a schematic diagram of a single word knowledge point model provided by an embodiment of the application;
FIG. 3 is a schematic diagram of a knowledge point network model according to an embodiment of the present application;
FIG. 4 is a schematic block diagram of a teaching device based on an English word teaching platform provided by an embodiment of the present application;
fig. 5 is a schematic block diagram of a computer device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
Referring to the specific embodiment shown in fig. 1, the application discloses a teaching method based on an English word teaching platform, which comprises the following steps:
s1, acquiring uploaded word textbook content, creating a class, and associating the class with a corresponding English textbook;
specifically, a teacher firstly uploads the content of the word textbook to an intelligent English word teaching platform, then creates classes according to the information of grades, textbooks and the like, and the teaching platform can automatically associate the corresponding English textbook for the classes.
S2, creating a universal English word learning task regularly according to the teaching plan according to the English textbook;
specifically, the teaching platform will automatically create a generic english word learning task (daily or weekly) according to the teaching plan at regular time, and the number of words of the task can be set by the teacher control.
Further, the teaching plan refers to learning the order and number of words.
Further, the general english word learning task includes the number of words, the part of speech of the words, pronunciation, meaning of the words, pictures of the words, and the like.
Specifically, all students can be managed through the teaching platform, and the students are organized by taking class as a unit, so that a teacher can conveniently manage the students.
The teaching platform can also provide functions of word management, class management, student management, word task management, etc., involving a plurality of tables such as book, word detail, class, class student, class word, task, task word, order, order word, etc.
Specifically, the book is a detailed textbook information table, words are managed by means of textbooks, and teachers teach words according to the textbooks when teaching, and the table comprises all fields for describing detailed textbook information, and specifically comprises the following contents: ID of textbook, this field is the field of self-increasing; version of textbook; the grade to which textbooks belong; the number of books, such as upper book or lower book; the storage address of the textbook cover picture.
word_detail is a detailed information table of words, and is the most important table by associating the ID of the textbook with the detailed information table of the textbook. The specific contents are as follows: ID of word, self-increment field; a word; chinese description of the word; phonetic symbols of words; which book the word belongs to.
Task is a word Task table in which word Task information automatically generated for each class every day is stored. The specific contents are as follows: word task ID, which is a self-increment field; class ID to which the word task belongs; creation time of the word task, this field is used to create a task order when the student learns the word task.
Order is a learning Order table, and task Order information created by students according to general English word learning tasks is stored. When a student starts a daily learning task, an order is created, and the learning progress of the student is recorded. The specific contents are as follows: order ID; task ID corresponding to the order; creation time of the order; whether the order has been completed by the student; order completion time, which is used for review plans created from the Ebinos forget curve; student ID corresponding to the order; class ID corresponding to the order.
S3, generating a personalized word learning scheme for each student according to the universal English word learning task, the learning ability evaluation level of the student, the English word knowledge graph and the student ID;
specifically, the student ID has uniqueness, and the word learning character and the learning progress of the student are bound by the ID.
In one embodiment, the learning ability evaluation level of the student refers to a level calculated according to the time taken by the student to learn words, the task amount of the student to learn words, and the word amount actually learned by the student.
Specifically, the calculation formula is as follows:
wherein C represents learning ability score, t represents time (in minutes) taken by students to learn words, n 0 Representing the task amount of the student to learn words, n representing the word amount actually learned by the student, and alpha and beta being weights. Here, n may be greater than n 0 Possibly smaller than n 0 .0 < C < = 11 is primary, 12 < C < = 22 is intermediate, and C > 23 is advanced. Wherein a=2 and β=10, n can be set 0 Generally 20.
Specifically, referring to fig. 2 to 3, the english word knowledge graph includes two parts, i.e., a single word knowledge point and a knowledge point network, where the single word knowledge point uses triples: k (k) n ＝{c n ，e n ，r n Represented by, wherein c n Is the Chinese paraphrasing of the word; e, e n English, which is a word; r is (r) n Is the pre-category to which the word belongs. The knowledge point network is based on single word knowledge points and based on ternaryGroup k n R in (2) n And extracting the connection of the knowledge points of the single word, and finally constructing a knowledge point network conceptual model.
Specifically, the English word knowledge graph model aims at carrying out standardized representation on teaching resources mainly comprising word knowledge points on the basis of covering all English words, and further constructing an English word knowledge graph with resource integration and personalized recommendation functions. The English word knowledge graph takes each word as an independent knowledge point, and takes the words with association relations as a knowledge point network. The core task of knowledge graph construction is to extract concepts, entities and relations thereof from objective world mass data and describe the concepts, entities and relations thereof in a structured form, and prototype realization is carried out on English word knowledge graphs through knowledge extraction and knowledge representation technology.
S4, learning data of the students on the personalized word learning scheme are obtained;
specifically, when a student performs a personalized word learning scheme, the teaching platform presents an associative memory word associated with a word as the student learns the word. Mainly depends on the knowledge graph. When a student learns a word, the most relevant 3-5 words are derived according to the structural relation of the knowledge graph and used for expanding the word quantity.
Specifically, after the students complete the study of the personalized word learning scheme, the students enter a review page generated by the teaching platform, and the teaching platform automatically generates a personalized review scheme which accords with the Aibinoes forgetting curve according to the study condition of the students (mainly aiming at the words with learning errors).
Specifically, during the learning process, the teaching platform can randomly present words, and students judge the meaning of the words, if the students judge the meaning to be correct, the students are the academic; otherwise, the misjudged word is repeated until the student learns.
S5, analyzing the learning condition of the students according to the learning data, and evaluating the learning effect.
Specifically, each item of learning data generated by the student in the learning process is collected and analyzed, and the data analysis mainly relates to two tables of class_info and student_info, which are respectively used for calculating class learning data and student learning data. Wherein the class_info table contains: class ID; class ranking; the average time for a class to complete a word task; the average learning ability assessment level of students in the class; statistics in the class and the last period change. The student_info table contains: student ID; ranking the students; average time to complete each task; average accuracy when finishing the review task; and the percentage change of the last cycle.
Further, multi-dimensional data such as the number of words learned by students every day, the time length of the students completing the word tasks, the number of words correctly answered by the students in the review tasks, the number of associated words correctly answered by the students in the review tasks and the like are counted, learning performance of the students is evaluated, the ranking of the students in a class, the data change of the students in the last period of the statistical period, data comparison information among the students, the ranking of the class in the whole teaching platform, the data of the class in the data change of the statistical period of the class compared with the last period and the like are calculated, and data support is provided for teachers to adjust teaching plans, and one statistical period is one week generally.
In one embodiment, after step S5, the method further includes: and adjusting the learning ability evaluation grade of the student according to the learning effect.
Specifically, at the end of the statistical period, the data analysis adjusts the learning ability evaluation level of the student according to the data change of the student in the period above the period, the set two thresholds are-10% and 20% respectively, the learning ability evaluation level of the student is reduced by one step for the student whose learning data is reduced by 10% or less in the statistical period, and the learning ability evaluation level of the student whose learning ability is improved by 20% or more is improved by one step.
Further, the adjusted learning ability evaluation level of the student is used for the subsequent establishment of personalized word learning schemes so as to adapt to the learning requirements of different students, and English word learning schemes conforming to the learning conditions of the students are established for the students according to the learning ability of the students, so that the teaching is performed according to the materials.
The application divides the online English word learning into a teacher end and a student end, helps a teacher master the English word learning condition of students, enhances the association between the teacher and the students in the online English word learning, thereby improving the quality and the efficiency of the online English word learning, also supports managing the students according to textbooks and classes, supports formulating an English word learning scheme conforming to the learning condition of the students according to the learning capability of the students, and further realizes the teaching of the students in accordance with the regulations.
Referring to fig. 4, the application also discloses a teaching device based on the english word teaching platform, which comprises: acquisition creation-association unit 10, creation unit 20, generation unit 30, acquisition unit 40, and analysis evaluation unit 50;
the acquiring and creating association unit 10 is configured to acquire uploaded word textbook content, create a class, and associate an english textbook corresponding to the class;
the creating unit 20 is configured to periodically create a universal english word learning task according to a teaching plan according to an english textbook;
the generating unit 30 is configured to generate a personalized word learning scheme for each student according to the universal english word learning task, the learning ability evaluation level of the student, the english word knowledge graph, and the student I D;
the acquiring unit 40 is configured to acquire learning data of a student on a personalized word learning scheme;
the analysis and evaluation unit 50 is used for analyzing the learning condition of the students according to the learning data and evaluating the learning effect.
In one embodiment, the learning ability evaluation level of the student refers to a level calculated according to the time taken by the student to learn words, the task amount of the student to learn words, and the word amount actually learned by the student.
In one embodiment, the obtaining unit 40 displays the associated memory word associated with a word when the student learns the word.
In an embodiment, the device further comprises: and the adjusting unit is used for adjusting the learning ability evaluation grade of the student according to the learning effect.
It should be noted that, as those skilled in the art can clearly understand, the specific implementation process of the teaching device and each unit based on the english word teaching platform can refer to the corresponding description in the foregoing method embodiment, and for convenience and brevity of description, the description is omitted here.
The teaching apparatus based on the english word teaching platform described above may be implemented in the form of a computer program that can be run on a computer device as shown in fig. 5.
Referring to fig. 5, fig. 5 is a schematic block diagram of a computer device according to an embodiment of the present application; the computer device 500 may be a terminal or a server, where the terminal may be an electronic device with a communication function, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a personal digital assistant, and a wearable device. The server may be an independent server or a server cluster formed by a plurality of servers.
With reference to FIG. 5, the computer device 500 includes a processor 502, memory, and a network interface 505 connected by a system bus 501, where the memory may include a non-volatile storage medium 503 and an internal memory 504.
The non-volatile storage medium 503 may store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions that, when executed, cause the processor 502 to perform a teaching method based on an english word teaching platform.
The processor 502 is used to provide computing and control capabilities to support the operation of the overall computer device 500.
The internal memory 504 provides an environment for the execution of a computer program 5032 in the non-volatile storage medium 503, which computer program 5032, when executed by the processor 502, causes the processor 502 to perform a teaching method based on the english word teaching platform.
The network interface 505 is used for network communication with other devices. It will be appreciated by those skilled in the art that the architecture shown in fig. 5 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting of the computer device 500 to which the present inventive arrangements may be implemented, as a particular computer device 500 may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
Wherein the processor 502 is configured to execute a computer program 5032 stored in a memory to implement the steps of:
acquiring uploaded word textbook content, creating a class, and associating the class with a corresponding English textbook; according to the English textbook, a universal English word learning task is established regularly according to the teaching plan; generating a personalized word learning scheme for each student according to the universal English word learning task, the learning ability evaluation grade of the student, the English word knowledge graph and the student I D; acquiring learning data of students on a personalized word learning scheme; and analyzing the learning condition of the students according to the learning data, and evaluating the learning effect.
In one embodiment, the learning ability evaluation level of the student refers to a level calculated according to the time taken by the student to learn words, the task amount of the student to learn words, and the word amount actually learned by the student.
In one embodiment, in the step of obtaining learning data of the student on the personalized word learning scheme, when the student learns a certain word, an associated memory word associated with the word is displayed.
In an embodiment, the step of analyzing the learning condition of the student according to the learning data and evaluating the learning effect further includes: and adjusting the learning ability evaluation grade of the student according to the learning effect.
It should be appreciated that in an embodiment of the application, the processor 502 may be a central processing unit (Central Processing Unit, CPU), the processor 502 may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSPs), application specific integrated circuits (Application Specific Integrated Circuit, ASICs), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Those skilled in the art will appreciate that all or part of the flow in a method embodying the above described embodiments may be accomplished by computer programs instructing the relevant hardware. The computer program comprises program instructions, and the computer program can be stored in a storage medium, which is a computer readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
Accordingly, the present application also provides a storage medium. The storage medium may be a computer readable storage medium. The storage medium stores a computer program, wherein the computer program comprises program instructions which, when executed by a processor, implement the teaching method based on the english word teaching platform described above. The storage medium stores a computer program comprising program instructions which, when executed by a processor, implement the method described above. The program instructions include the steps of:
acquiring uploaded word textbook content, creating a class, and associating the class with a corresponding English textbook; according to the English textbook, a universal English word learning task is established regularly according to the teaching plan; generating a personalized word learning scheme for each student according to the universal English word learning task, the learning ability evaluation grade of the student, the English word knowledge graph and the student I D; acquiring learning data of students on a personalized word learning scheme; and analyzing the learning condition of the students according to the learning data, and evaluating the learning effect.
In one embodiment, the learning ability evaluation level of the student refers to a level calculated according to the time taken by the student to learn words, the task amount of the student to learn words, and the word amount actually learned by the student.
In one embodiment, in the step of obtaining learning data of the student on the personalized word learning scheme, when the student learns a certain word, an associated memory word associated with the word is displayed.
In an embodiment, the step of analyzing the learning condition of the student according to the learning data and evaluating the learning effect further includes: and adjusting the learning ability evaluation grade of the student according to the learning effect.
The storage medium may be a U-disk, a removable hard disk, a Read-only Memory (ROM), a magnetic disk, or an optical disk, or other various computer-readable storage media that can store program codes.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed.
The steps in the method of the embodiment of the application can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the application can be combined, divided and deleted according to actual needs. In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The integrated unit may be stored in a storage medium if implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a terminal, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application.
The foregoing embodiments are preferred embodiments of the present application, and in addition, the present application may be implemented in other ways, and any obvious substitution is within the scope of the present application without departing from the concept of the present application.
Claims (10)
1. The teaching method based on the English word teaching platform is characterized by comprising the following steps of:
acquiring uploaded word textbook content, creating a class, and associating the class with a corresponding English textbook;
according to the English textbook, a universal English word learning task is established regularly according to the teaching plan;
generating a personalized word learning scheme for each student according to the universal English word learning task, the learning ability evaluation level of the student, the English word knowledge graph and the student ID;
acquiring learning data of students on a personalized word learning scheme;
and analyzing the learning condition of the students according to the learning data, and evaluating the learning effect.
2. The teaching method based on the english word teaching platform according to claim 1, wherein the learning ability evaluation level of the student is calculated according to the time spent learning words by the student, the task amount of learning words by the student, and the word amount actually learned by the student.
3. The teaching method based on english word teaching platform according to claim 1, wherein in the step of obtaining learning data of the student on the personalized word learning scheme, when the student learns a certain word, the student displays an associated memory word associated with the certain word.
4. The teaching method based on the english word teaching platform according to claim 1, wherein after the step of analyzing the learning condition of the student according to the learning data and evaluating the learning effect, the method further comprises: and adjusting the learning ability evaluation grade of the student according to the learning effect.
5. Teaching device based on english word teaching platform, its characterized in that includes: the method comprises the steps of acquiring a creation association unit, a creation unit, a generation unit, an acquisition unit and an analysis and evaluation unit;
the acquiring and creating association unit is used for acquiring the uploaded word textbook content, creating a class and associating the class with the corresponding English textbook;
the creation unit is used for regularly creating a universal English word learning task according to the teaching plan according to the English textbook;
the generating unit is used for generating a personalized word learning scheme for each student according to the universal English word learning task, the learning ability evaluation level of the student, the English word knowledge graph and the student ID;
the acquisition unit is used for acquiring learning data of the students on the personalized word learning scheme;
the analysis and evaluation unit is used for analyzing the learning condition of the students according to the learning data and evaluating the learning effect.
6. The teaching device based on the english word teaching platform according to claim 5, wherein the learning ability evaluation level of the student is calculated according to the time spent learning words by the student, the task amount of learning words by the student, and the word amount actually learned by the student.
7. The teaching device based on the english word teaching platform according to claim 5, wherein the acquiring unit displays the associated memory word associated with a certain word when the student learns the word.
8. The teaching device based on english word teaching platform according to claim 5, further comprising: and the adjusting unit is used for adjusting the learning ability evaluation grade of the student according to the learning effect.
9. A computer device, characterized in that the computer device comprises a memory and a processor, the memory stores a computer program, and the processor implements the teaching method based on the english word teaching platform according to any one of claims 1-4 when executing the computer program.
10. A storage medium storing a computer program comprising program instructions which, when executed by a processor, implement the teaching method of any of claims 1-4 based on an english word teaching platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211668381.1A CN117153005A (en) | 2022-12-23 | 2022-12-23 | Teaching method, device, computer equipment and storage medium based on English word teaching platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211668381.1A CN117153005A (en) | 2022-12-23 | 2022-12-23 | Teaching method, device, computer equipment and storage medium based on English word teaching platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117153005A true CN117153005A (en) | 2023-12-01 |
Family
ID=88885539
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211668381.1A Pending CN117153005A (en) | 2022-12-23 | 2022-12-23 | Teaching method, device, computer equipment and storage medium based on English word teaching platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117153005A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016040591A (en) * | 2014-08-12 | 2016-03-24 | 株式会社アドラック | Learning ability development system using smart phone |
| CN107085803A (en) * | 2017-03-31 | 2017-08-22 | 弘成科技发展有限公司 | The individualized teaching resource recommendation system of knowledge based collection of illustrative plates and capability comparison |
| US20180293912A1 (en) * | 2017-04-11 | 2018-10-11 | Zhi Ni | Vocabulary Learning Central English Educational System Delivered In A Looping Process |
| CN110083840A (en) * | 2019-05-06 | 2019-08-02 | 沈千万 | A kind of word learning system, method and the application of system understanding English word meaning |
| CN110276005A (en) * | 2019-06-05 | 2019-09-24 | 北京策腾教育科技集团有限公司 | A kind of personalized recommendation method and system based on the online English word interaction data of user |
| KR102146433B1 (en) * | 2019-10-02 | 2020-08-20 | 변용준 | Method for providing context based language learning service using associative memory |
| CN114187148A (en) * | 2021-12-17 | 2022-03-15 | 北京唯佳未来教育科技有限公司 | English teaching system |
-
2022
- 2022-12-23 CN CN202211668381.1A patent/CN117153005A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016040591A (en) * | 2014-08-12 | 2016-03-24 | 株式会社アドラック | Learning ability development system using smart phone |
| CN107085803A (en) * | 2017-03-31 | 2017-08-22 | 弘成科技发展有限公司 | The individualized teaching resource recommendation system of knowledge based collection of illustrative plates and capability comparison |
| US20180293912A1 (en) * | 2017-04-11 | 2018-10-11 | Zhi Ni | Vocabulary Learning Central English Educational System Delivered In A Looping Process |
| CN110083840A (en) * | 2019-05-06 | 2019-08-02 | 沈千万 | A kind of word learning system, method and the application of system understanding English word meaning |
| CN110276005A (en) * | 2019-06-05 | 2019-09-24 | 北京策腾教育科技集团有限公司 | A kind of personalized recommendation method and system based on the online English word interaction data of user |
| KR102146433B1 (en) * | 2019-10-02 | 2020-08-20 | 변용준 | Method for providing context based language learning service using associative memory |
| CN114187148A (en) * | 2021-12-17 | 2022-03-15 | 北京唯佳未来教育科技有限公司 | English teaching system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2575123A1 (en) | Customized question paper generation | |
| CN113590956B (en) | Knowledge point recommendation method, knowledge point recommendation device, knowledge point recommendation terminal and computer readable storage medium | |
| CN109816265B (en) | Knowledge characteristic mastery degree evaluation method, question recommendation method and electronic equipment | |
| WO2022170985A1 (en) | Exercise selection method and apparatus, and computer device and storage medium | |
| CN109637238B (en) | Method, device, equipment and storage medium for generating exercise questions | |
| CN110400117A (en) | A kind of based reminding method, electronic equipment and the storage medium of wrong topic | |
| CN117150151A (en) | Wrong question analysis and test question recommendation system and method based on large language model | |
| CN116796802A (en) | Learning recommendation method, device, equipment and storage medium based on error question analysis | |
| Beron et al. | Oral language and reading success: A structural equation modeling approach | |
| CN113779345B (en) | Teaching material generation method and device, computer equipment and storage medium | |
| CN111639485A (en) | Course recommendation method based on text similarity and related equipment | |
| CN107430824B (en) | Semi-automatic system and method for evaluating responses | |
| JP2007226460A (en) | Data processor and data processing method | |
| Puspitasari et al. | Smartphone Learning Media Prototype Model Based on SAC (Smart Apps Creator) For 4.0 Learning | |
| CN110648086A (en) | Online teaching student grouping method and device | |
| CN113886580A (en) | Emotion scoring method and device and electronic equipment | |
| CN113569112A (en) | Tutoring strategy providing method, system, device and medium based on question | |
| CN111915463A (en) | Management method of test question knowledge points | |
| CN112598286A (en) | Crowdsourcing user cheating behavior detection method and device and electronic equipment | |
| CN109189766B (en) | Teaching scheme acquisition method and device and electronic equipment | |
| CN111831919A (en) | Course planning method, device, storage medium and system | |
| CN111861820A (en) | Learning plan generation method and device | |
| CN115952908A (en) | Learning path planning method, system, device and storage medium | |
| CN117153005A (en) | Teaching method, device, computer equipment and storage medium based on English word teaching platform | |
| CN113254752B (en) | Lesson preparation method and device based on big data and storage medium |
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 |