Cross-culture teaching management method, system and device and storage medium

Abstract

The embodiment of the invention relates to the technical field of education, and discloses a cross-culture teaching management method, system and device and a storage medium, and the method comprises the steps: collecting data in a cross-culture teaching activity; preprocessing the data in the cross-culture teaching activity; cross-culture behavior characteristics and an interaction mode in the online classroom are recognized, the cross-culture behavior characteristics are behavior characteristics displayed by students in a cross-culture learning environment, and the interaction mode is an interaction mode between the students and other students or teachers in the cross-culture learning environment; according to the cross-culture behavior characteristics and the interaction mode, making a personalized teaching strategy according with the culture adaptability of the student; according to learning characteristics and behaviors of the students and evaluation results of learning of the students in the cross-culture learning environment, personalized teaching feedback conforming to the culture background of the students is generated, powerful support is provided for teaching management in the cross-culture background environment, and more efficient and more personalized online education development is promoted.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of smart education technology, and in particular to a cross-cultural teaching management method, system, device and storage medium. Background Art

[0002] In recent years, the rapid development of technology has led us into the digital age, in which the concept of national borders has gradually blurred. As a significant product of this era, online education has opened an unprecedented door to learning for students around the world. It eliminates geographical and cultural barriers and allows every student to access the world's top course resources. Especially in a cross-cultural environment, online classes have become a bridge for interactive learning and communication between teachers and students, promoting mutual understanding and helping everyone integrate into a diverse cultural and knowledge system. However, how to efficiently manage this emerging cross-cultural teaching model and ensure its educational quality and effectiveness has become a topic of common concern for global education experts and researchers.

[0003] Cross-cultural teaching activities in online classes open a window to the world for students, allowing them to accept and deal with different cultures and ideas with a broader perspective. This cross-cultural exchange not only promotes students' personal development, but also builds a solid bridge for international educational cooperation and cultural exchange. By using scientific methods such as data mining to conduct systematic research on cross-cultural teaching activities, it can provide solid data support for educational managers and decision makers, helping them design and implement more accurate and efficient teaching plans. However, past cross-cultural teaching implementation plans often focus on theoretical exploration or traditional management strategies based on user learning behavior. These methods do not fully take into account the characteristics of large cultural differences between people in the online education environment, and it is difficult to solve the conflicts and problems caused by cultural differences. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a cross-cultural teaching management method, system, device and storage medium, which provide strong support for teaching management in a cross-cultural environment and promote the development of more efficient and personalized online education.

[0005] According to some embodiments of the present application, a first aspect of the embodiments of the present application provides a cross-cultural teaching management method, characterized in that data in cross-cultural teaching activities are collected; the data in the cross-cultural teaching activities are pre-processed; cross-cultural behavioral characteristics and interaction patterns in online classes are identified, wherein the cross-cultural behavioral characteristics are behavioral characteristics exhibited by students in a cross-cultural learning environment, and the interaction patterns are the ways in which users interact with other users in a cross-cultural learning environment; personalized teaching strategies that are consistent with the user's cultural adaptability are formulated based on the cross-cultural behavioral characteristics and interaction patterns; and personalized teaching feedback that is consistent with the user's cultural background is generated based on the user's learning characteristics and behaviors, as well as the evaluation results of the user's learning in the cross-cultural learning environment, wherein the learning characteristics and behaviors are common characteristics exhibited by users during the learning process.

[0006] According to some embodiments of the present application, a second aspect of the embodiments of the present application provides a cross-cultural teaching management system, including a collection module: collecting data in cross-cultural teaching activities; a preprocessing module: preprocessing the data in the cross-cultural teaching activities; an identification module: identifying cross-cultural behavioral characteristics and interaction patterns in online classes, wherein the cross-cultural behavioral characteristics are behavioral characteristics exhibited by users in a cross-cultural learning environment, and the interaction patterns are the ways in which users interact with other users in a cross-cultural learning environment; a strategy formulation module: formulating personalized teaching strategies that are consistent with the user's cultural adaptability based on the cross-cultural behavioral characteristics and interaction patterns; a feedback module: generating personalized teaching feedback that is consistent with the user's cultural background based on the user's learning characteristics and behaviors, as well as the evaluation results of the user's learning in the cross-cultural learning environment, wherein the learning characteristics and behaviors are common characteristics exhibited by users during the learning process.

[0007] According to some embodiments of the present application, a third aspect of the embodiments of the present application provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the cross-cultural teaching management method as described above.

[0008] According to some embodiments of the present application, a fourth aspect of the embodiments of the present application further provides a computer-readable storage medium, which, when instructions in the computer-readable storage medium are executed by a processor of an electronic device, performs the cross-cultural teaching management method as described above.

[0009] The technical solution provided in the embodiment of the present application has at least the following advantages:

[0010] By collecting data from users in cross-cultural teaching activities and pre-processing the data to remove noise and erroneous data, complete, accurate, and highly cross-culturally relevant data can be obtained to ensure that teachers can obtain users' learning status and participation in a timely manner, so as to adjust teaching strategies in a targeted manner and improve the overall teaching quality. Identify cross-cultural behavioral characteristics and interaction patterns in online classes, identify and resolve possible cultural barriers, and promote users' understanding and acceptance of multiculturalism. Analyze cross-cultural behaviors and interaction patterns in online classes, discover cultural differences in language, time concepts, communication methods, etc., and take measures to resolve conflicts, understand users' interest and cognition of different cultures, design more targeted teaching activities, understand students' learning styles and preferences, design more personalized teaching strategies, evaluate teaching results, and continuously improve teaching strategies based on evaluation results. Generate personalized teaching feedback that matches the user's cultural background based on the user's learning characteristics and behaviors, as well as the evaluation results, to make the learning experience more targeted and effective, and help users achieve better learning outcomes in a cross-cultural environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] One or more embodiments are exemplarily described by pictures in the corresponding drawings, and these exemplified descriptions do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0012] Figure 1 is a flow chart of a cross-cultural teaching management method according to an embodiment of the present application;

[0013] Figure 2 is a schematic diagram of a cross-cultural teaching management system according to an embodiment of the present application;

[0014] Figure 3 FIG. 1 is a schematic diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0015] In the prior art, teaching management methods include online learning analysis systems, which usually track students' normal learning behaviors, evaluate teaching effectiveness, and provide learning suggestions and feedback. However, they tend to ignore the cross-cultural differences in online education, which results in the online learning analysis system lacking valuable analysis data for students' cross-cultural characteristics.

[0016] In the prior art, teaching management methods also include personalized learning recommendation systems, which use artificial intelligence and big data to analyze students' learning behaviors and push personalized learning resources and paths to students. However, this type of personalized learning recommendation system only analyzes students' normal learning records and general behavior data, and does not take into account that online learning systems are aimed at students from all over the world, and students have great cultural differences. Therefore, it is impossible to integrate cross-cultural differences to provide students with real-time and adaptive learning suggestions.

[0017] Based on this, the embodiments of the present application provide a cross-cultural teaching management method, system, device and storage medium, which collect data in cross-cultural teaching activities; pre-process the data in the cross-cultural teaching activities; identify cross-cultural behavior characteristics and interaction patterns in online classes, wherein the cross-cultural behavior characteristics are the behavior characteristics exhibited by students in a cross-cultural learning environment, and the interaction patterns are the ways in which users interact with other users in a cross-cultural learning environment; formulate personalized teaching strategies that are consistent with the user's cultural adaptability based on the cross-cultural behavior characteristics and interaction patterns; generate personalized teaching feedback that is consistent with the user's cultural background based on the user's learning characteristics and behaviors, as well as the evaluation results of the user's learning in the cross-cultural learning environment, wherein the learning characteristics and behaviors are common characteristics exhibited by users during the learning process.

[0018] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings. However, it will be appreciated by those skilled in the art that in the present application, many technical details are proposed in order to enable the reader to better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical scheme claimed in the present application can also be implemented. The division of the following embodiments is for the convenience of description, and the specific implementation of the present application should not be construed as any limitation, and the various embodiments can be combined and referenced with each other under the premise of no contradiction.

[0019] One embodiment of the present invention relates to a cross-cultural teaching management method, which is applied to any electronic device, such as a mobile phone, a computer, a server, etc. The method includes: collecting data in cross-cultural teaching activities; pre-processing the data in the cross-cultural teaching activities; identifying cross-cultural behavioral characteristics and interaction patterns in online classrooms, wherein the cross-cultural behavioral characteristics are behavioral characteristics exhibited by students in a cross-cultural learning environment, and the interaction patterns are the ways in which users interact with other users in a cross-cultural learning environment; formulating personalized teaching strategies that are consistent with the user's cultural adaptability based on the cross-cultural behavioral characteristics and interaction patterns; generating personalized teaching feedback that is consistent with the user's cultural background based on the user's learning characteristics and behaviors, as well as the evaluation results of the user's learning in the cross-cultural learning environment, wherein the learning characteristics and behaviors are common characteristics exhibited by users during the learning process. The following is a specific description of the implementation details of the cross-cultural teaching management method based on the embodiment of the present invention. The following content is only the implementation details provided for easy understanding and is not necessary for the implementation of this solution. Figure 1 As shown, the following steps are included:

[0020] Step S11, collecting data from cross-cultural teaching activities.

[0021] The data in the cross-cultural teaching activities include interaction data, learning resource data and cultural background data in the cross-cultural teaching activities;

[0022] The interactive data includes the user's interactive frequency and duration, interactive content and interactive object; the learning resource data includes the access records of learning resources and the use of learning resources; the cultural background data includes user personal information and course information. The user may include teachers and / or students.

[0023] The frequency and duration of user interaction can be the frequency and duration of students' participation in classroom discussions, asking questions, and answering questions, which can be used to evaluate the user's interest in and participation in the course. In a cross-cultural context, users may show different characteristics in interaction due to language barriers, cultural differences, etc.; the content of user interaction can be the theme, language style, and expression of opinions of the student's interactive content, which can be used to understand the user's understanding of the course content, way of thinking, and cultural background. Users from different cultural backgrounds may have differences in expression, communication style, etc.; the user interaction object can be the object of student interaction, which can be used to understand the social network and cooperative relationship between users. In a cross-cultural context, users may be more inclined to interact with classmates from the same cultural background.

[0024] Learning resource access records can be records of the frequency, duration and type of users' access to learning resources, which can be used to understand the users' utilization of learning resources and learning habits. Users from different cultural backgrounds may have different preferences for and usage methods of learning resources. The usage of learning resources can be users' behaviors in using learning resources, such as reading, note-taking, and discussion, which can be used to understand the users' understanding and mastery of the learning content. In a cross-cultural context, users may show different characteristics in the utilization of learning resources due to language barriers, cultural differences, etc.

[0025] User personal information may include the student's age, gender, nationality, cultural background, etc., which can help analyze the impact of cultural differences on learning behavior; course information may include the type, content, teaching methods, etc. of the course, which can help analyze the impact of course design on cross-cultural teaching.

[0026] Course information can include course type, content, teaching methods, etc., which can help analyze the impact of course design on cross-cultural teaching.

[0027] Step S12, pre-processing the data in the cross-cultural teaching activity.

[0028] In an embodiment of the present application, preprocessing the data in the cross-cultural teaching activities includes: cleaning the data in the cross-cultural teaching activities to obtain cleaned data; performing text data conversion and dimensionality reduction processing on the cleaned data to obtain low-dimensional data; performing feature selection on the low-dimensional data, selecting features related to cross-cultural teaching evaluation, and eliminating features that are not related to the evaluation objectives.

[0029] Cleaning the data in the cross-cultural teaching activities includes processing missing values, filling or deleting missing data, and ensuring data integrity; cleaning the data in the cross-cultural teaching activities also includes processing outliers, identifying and processing outliers, such as outliers or erroneous data, to avoid affecting the analysis results; cleaning the data in the cross-cultural teaching activities also includes standardizing or normalizing the data, converting data of different dimensions or ranges into a unified standard to facilitate subsequent analysis and comparison.

[0030] The cleaned data is converted into text data, and the text data is converted into numerical data, and methods such as bag-of-words model or TF-IDF can be used; the data is subjected to dimensionality reduction processing; the dimensionality reduction processing can use methods such as principal component analysis (PCA) to reduce the data dimension, reduce the amount of calculation and retain the main information.

[0031] Feature selection is performed on the low-dimensional data; specifically, features related to cross-cultural teaching evaluation are selected, such as background information, learning style, cultural differences, etc., and features that are irrelevant to the evaluation objectives or redundant are eliminated to improve processing efficiency and accuracy.

[0032] By preprocessing the data in cross-cultural teaching activities, we can remove noise and erroneous data, ensure data integrity and accuracy, train models based on high-quality data, improve the accuracy of model prediction and evaluation, reduce the amount of calculation and memory consumption through data dimensionality reduction and feature selection, improve analysis efficiency, and reveal data patterns: through data cleaning and transformation, we can discover the hidden patterns and laws in the data and provide a basis for teaching decisions.

[0033] Step S13, identifying cross-cultural behavior characteristics and interaction patterns in the online classroom, wherein the cross-cultural behavior characteristics are the behavior characteristics exhibited by students in a cross-cultural learning environment, and the interaction pattern is the way in which a user interacts with other users in a cross-cultural learning environment.

[0034] The "cross-cultural behavioral characteristics" mentioned above refer to the behavioral characteristics that students display in a cross-cultural learning environment. These characteristics are related to factors such as students' cultural background, learning style, values, language ability, etc. For example: the degree of interest in certain cultural themes or content, such as preference for Western culture, Eastern culture, history, art, etc.; preference for independent learning or collaborative learning, preference for visual, auditory or kinesthetic learning methods, etc.; language expression habits, non-verbal communication methods (body language, facial expressions, etc.), communication style (direct / indirect), etc.; the degree of understanding and emphasis on concepts such as knowledge, education, success, etc.; cultural differences and conflicts encountered in the learning process, such as conflicts in values ​​and communication barriers, etc.

[0035] The interaction mode refers to the way students interact with other online students or online teachers in a cross-cultural learning environment. These modes are related to factors such as students' cultural background, learning style, and communication methods. For example: cooperating with students from different cultural backgrounds to complete learning tasks together; communicating with students from different cultural backgrounds in online discussion areas or forums to share views and experiences; seeking learning help from online teachers or online students from different cultural backgrounds; participating in online cultural exchange activities, such as cultural festivals and cultural salons, etc.

[0036] In an embodiment of the present application, identifying cross-cultural behavioral characteristics and interaction patterns in online classes through data mining includes: predicting user behavior and learning outcomes through predictive analysis technology; identifying user behavior patterns and preferences through machine learning technology; and understanding user cultural background and emotional state through natural language processing technology.

[0037] Predictive analysis mainly includes user behavior prediction, predicting whether users will participate in class discussions, complete homework, take exams, etc., and learning outcome prediction, predicting users' grades, learning progress, learning style, etc. It can also include dropout prediction, predicting whether users are at risk of dropping out. The predictive analysis technology includes but is not limited to linear regression, logistic regression, decision tree, random forest, and support vector machine.

[0038] The machine learning techniques include, but are not limited to, cluster analysis, association rule mining, and anomaly detection, and are used to identify user behavior patterns and preferences.

[0039] The natural language processing technology includes but is not limited to text classification, sentiment analysis, and topic models, which are used to analyze user text data, such as chat records, forum posts, etc., to understand the user's cultural background and emotional state.

[0040] Step S14, formulating a personalized teaching strategy that is consistent with the user's cultural adaptability based on the cross-cultural behavior characteristics and interaction patterns.

[0041] In the embodiment of the present application, the personalized teaching strategy that is consistent with the user's cultural adaptability is formulated according to the cross-cultural behavior characteristics and interaction patterns, including: identifying cultural conflicts and obstacles that users may encounter, such as conflicts in values, communication barriers, etc.; analyzing the differences in learning styles, values, communication methods, etc. of users with different cultural backgrounds, and adjusting online teaching strategies and online teaching methods accordingly; formulating personalized teaching strategies that are consistent with the user's cultural adaptability according to the cultural conflicts and obstacles that may be encountered, as well as the differences between users with different cultural backgrounds, such as recommending suitable learning resources, adjusting learning progress, providing targeted learning guidance, etc. Cultivate students' cultural adaptability through online teaching activities, such as cross-cultural communication skills, cultural understanding skills, cultural tolerance skills, etc.

[0042] Step S15, generating personalized teaching feedback that is consistent with the user's cultural background based on the user's learning characteristics and behaviors, as well as the evaluation results of the user's learning in a cross-cultural learning environment, wherein the learning characteristics and behaviors are common characteristics exhibited by the user during the learning process.

[0043] The user's learning characteristics refer to the general characteristics exhibited by students during the learning process, such as learning style, learning motivation, learning habits, etc.

[0044] In an embodiment of the present application, the personalized teaching feedback that is consistent with the user's cultural background includes: learning progress feedback: used to indicate the user's current learning progress and goal achievement; learning difficulty feedback: used to indicate the user's learning difficulties and weak links, and provide corresponding learning suggestions; learning style feedback: used to analyze the user's learning style and provide targeted learning methods and resources; learning motivation feedback: used to provide incentives and encouragement to help students maintain their interest and motivation in learning.

[0045] In an embodiment of the present application, generating personalized teaching feedback that is consistent with the user's cultural background based on the user's learning characteristics and behavior, and the evaluation results of the user's learning in a cross-cultural learning environment includes: collecting the user's learning data in the cross-cultural learning environment; identifying the user's learning characteristics and behavioral characteristics; analyzing the user's learning outcomes based on the learning characteristics and behavioral characteristics to obtain evaluation results; generating personalized teaching feedback that is consistent with the student's cultural background based on the user's learning characteristics, behavior, evaluation results and cultural background.

[0046] Optionally, the feedback can be in various forms, for example, text feedback can be automatically generated and provided to the user; voice feedback can use speech synthesis technology to convert the feedback content into voice and provide it to the user; video feedback can generate video feedback, such as playing students' learning videos and commenting and analyzing them; gamification feedback: the system can use gamification methods, such as setting learning tasks, challenges, rewards, etc., to stimulate students' interest and motivation in learning.

[0047] Optionally, personalized suggestions can be generated for users, including: learning plans. The system will automatically generate personalized learning plans based on students' learning characteristics and behaviors, as well as evaluation results; learning paths. It recommends appropriate learning paths for students, such as which modules need to be focused on and which modules can be skipped; learning resources. It recommends appropriate learning resources for students, such as videos, courseware, exercises, etc.; learning tools. It recommends appropriate learning tools for students, such as dictionaries, translation tools, etc.; learning strategies. It provides students with personalized learning strategies, such as how to study efficiently and how to overcome learning difficulties.

[0048] In the embodiments of the present application, by collecting the data of users in cross-cultural teaching activities, pre-processing the data, removing noise and erroneous data, complete, accurate and highly cross-culturally relevant data are obtained, ensuring that teachers can obtain the learning situation and participation level of users in a timely manner, so as to adjust the teaching strategy in a targeted manner and improve the overall teaching quality. Identify cross-cultural behavior characteristics and interaction patterns in online classes, identify and solve possible cultural barriers, and promote users' understanding and acceptance of multiculturalism. Analyze cross-cultural behaviors and interaction patterns in online classes, discover cultural differences in language, time concept, communication methods, etc., and take measures to resolve conflicts, understand users' interest and cognitive level in different cultures, design more targeted teaching activities, understand students' learning styles and preferences, design more personalized teaching strategies, evaluate teaching effects, and continuously improve teaching strategies based on evaluation results. According to the user's learning characteristics and behaviors, as well as the evaluation results, generate personalized teaching feedback that is consistent with the user's cultural background, so that the learning experience is more targeted and effective, and helps users achieve better learning outcomes in a cross-cultural environment.

[0049] The steps of the above method are divided only for the purpose of clear description. When implemented, they can be combined into one step or some steps can be split and decomposed into multiple steps. As long as they include the same logical relationship, they are all within the scope of protection of this patent; adding insignificant modifications to the algorithm or process or introducing insignificant designs without changing the core design of the algorithm and process are all within the scope of protection of this patent.

[0050] In addition, the examples mentioned in the above embodiments can be freely combined, and any combination can be understood as an embodiment. The "embodiment" or "example" appearing in various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It can be understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0051] Another embodiment of the present invention relates to a cross-cultural teaching management system 200, such as Figure 2 As shown, the system comprises:

[0052] Collection module 201: collecting data from cross-cultural teaching activities;

[0053] Preprocessing module 202: preprocessing the data in the cross-cultural teaching activity;

[0054] Identification module 203: Identify cross-cultural behavior characteristics and interaction patterns in the online classroom, wherein the cross-cultural behavior characteristics are the behavior characteristics exhibited by users in a cross-cultural learning environment, and the interaction patterns are the ways in which users interact with other users in a cross-cultural learning environment;

[0055] Strategy formulation module 204: formulating a personalized teaching strategy that is consistent with the user's cultural adaptability according to the cross-cultural behavior characteristics and interaction patterns;

[0056] Feedback module 205: Generates personalized teaching feedback that is consistent with the user's cultural background based on the user's learning characteristics and behaviors, as well as the evaluation results of the user's learning in a cross-cultural learning environment. The learning characteristics and behaviors are common characteristics exhibited by the user during the learning process.

[0057] In some embodiments, the data in the cross-cultural teaching activities include interaction data, learning resource data and cultural background data in the cross-cultural teaching activities; wherein the interaction data includes the user's interaction frequency and duration, interaction content and interaction object; the learning resource data includes access records to learning resources and usage of learning resources; the cultural background data includes user personal information and course information.

[0058] In some embodiments, the preprocessing of the data in the cross-cultural teaching activities includes: cleaning the data in the cross-cultural teaching activities to obtain cleaned data; performing text data conversion and dimensionality reduction processing on the cleaned data to obtain low-dimensional data; performing feature selection on the low-dimensional data, selecting features related to cross-cultural teaching evaluation, and eliminating features that are not related to the evaluation objectives.

[0059] In some embodiments, identifying cross-cultural behavioral characteristics and interaction patterns in online classes through data mining includes: predicting user behavior and learning outcomes through predictive analysis technology; identifying user behavior patterns and preferences through machine learning technology; and understanding user cultural background and emotional state through natural language processing technology.

[0060] In some embodiments, formulating a personalized teaching strategy that is consistent with the user's cultural adaptability based on the cross-cultural behavioral characteristics and interaction patterns includes: identifying cultural conflicts and obstacles that the user may encounter; analyzing differences between users from different cultural backgrounds; and formulating a personalized teaching strategy that is consistent with the user's cultural adaptability based on the cultural conflicts and obstacles that may be encountered, as well as differences between users from different cultural backgrounds.

[0061] In some embodiments, the personalized teaching feedback that is consistent with the user's cultural background includes: learning progress feedback: used to indicate the user's current learning progress and goal achievement; learning difficulty feedback: used to indicate the user's learning difficulties and weak links, and provide corresponding learning suggestions; learning style feedback: used to analyze the user's learning style and provide targeted learning methods and resources; learning motivation feedback: used to provide incentives and encouragement to help students maintain their interest and motivation in learning.

[0062] In some embodiments, generating personalized teaching feedback that is consistent with the user's cultural background based on the user's learning characteristics and behaviors, and the evaluation results of the user's learning in a cross-cultural learning environment includes: collecting the user's learning data in the cross-cultural learning environment; identifying the user's learning characteristics and behavioral characteristics; analyzing the user's learning outcomes based on the learning characteristics and behavioral characteristics to obtain evaluation results; generating personalized teaching feedback that is consistent with the student's cultural background based on the user's learning characteristics, behavior, evaluation results and cultural background.

[0063] In the embodiments of the present application, by collecting the data of users in cross-cultural teaching activities, pre-processing the data, removing noise and erroneous data, complete, accurate and highly cross-culturally relevant data are obtained, ensuring that teachers can obtain the learning situation and participation level of users in a timely manner, so as to adjust the teaching strategy in a targeted manner and improve the overall teaching quality. Identify cross-cultural behavior characteristics and interaction patterns in online classes, identify and solve possible cultural barriers, and promote users' understanding and acceptance of multiculturalism. Analyze cross-cultural behaviors and interaction patterns in online classes, discover cultural differences in language, time concept, communication methods, etc., and take measures to resolve conflicts, understand users' interest and cognitive level in different cultures, design more targeted teaching activities, understand students' learning styles and preferences, design more personalized teaching strategies, evaluate teaching effects, and continuously improve teaching strategies based on evaluation results. According to the user's learning characteristics and behaviors, as well as the evaluation results, generate personalized teaching feedback that is consistent with the user's cultural background, so that the learning experience is more targeted and effective, and helps users achieve better learning outcomes in a cross-cultural environment.

[0064] It is not difficult to find that this embodiment is a device embodiment corresponding to the above method embodiment, and this embodiment can be implemented in conjunction with the above method embodiment. The relevant technical details mentioned in the above method embodiment are still valid in this embodiment, and in order to reduce repetition, they are not repeated here. Accordingly, the relevant technical details mentioned in this embodiment can also be applied in the above method embodiment.

[0065] It is worth mentioning that all modules involved in this embodiment are logic modules. In practical applications, a logic unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, this embodiment does not introduce units that are not closely related to solving the technical problem proposed by the present invention, but this does not mean that there are no other units in this embodiment.

[0066] Another embodiment of the present application relates to an electronic device 300, see Figure 3, including: a processor 301, a memory 302, and a computer program stored in the memory 302 and executable on the processor 301, such as a data processing program. When the processor 301 executes the computer program, the steps in the above-mentioned cross-cultural teaching management method embodiments are implemented, such as Figure 1 Steps S11-S15 are shown.

[0067] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory 302 and executed by the processor 301 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program in the electronic device.

[0068] The electronic device may be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The electronic device may include, but is not limited to, a processor 301 and a memory 302. Those skilled in the art will appreciate that the schematic diagram is merely an example of an electronic device and does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown in the diagram, or may combine certain components, or different components. For example, the electronic device may also include an input / output device, a network access device, a bus, etc.

[0069] The processor 301 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor 301 may also be any conventional processor, etc. The processor 301 is the control center of the electronic device, and uses various interfaces and lines to connect various parts of the entire electronic device.

[0070] The memory 302 can be used to store the computer program and / or module, and the processor 301 realizes various functions of the electronic device by running or executing the computer program and / or module stored in the memory 302, and calling the data stored in the memory 302. The memory 302 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory 302 can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0071] Wherein, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor 301. Wherein, the computer program includes a computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), an electrical carrier signal, a telecommunication signal, and a software distribution medium.

[0072] Another embodiment of the present application provides a computer-readable storage medium, which stores programs or instructions. When the programs or instructions are executed by a processor, the various processes of the embodiments of the cross-cultural teaching management method as described above are implemented, and the same technical effects can be achieved. To avoid repetition, they will not be described here.

[0073] Computer readable media include permanent and non-permanent, removable and non-removable media, and can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0074] Another embodiment of the present application further provides a computer program product, including computer instructions, which, when executed by a processor, implement the above Figure 1 Each process of any one of the cross-cultural teaching management method embodiments shown can achieve the same technical effect, and will not be described here to avoid repetition.

[0075] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0076] It should be noted that the collection, collection, updating, analysis, processing, use, transmission, storage and other aspects of user personal information involved in the technical solution of this disclosure are in compliance with the provisions of relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. Necessary measures are taken for user personal information to prevent illegal access to user personal information data and maintain the security of user personal information and network security.

[0077] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0078] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a service classification device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0079] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A cross-cultural teaching management method, characterized in that: The method comprises: Collect data from cross-cultural teaching activities; Preprocessing the data in the cross-cultural teaching activities; Identify cross-cultural behavioral characteristics and interaction patterns in online classes, wherein the cross-cultural behavioral characteristics are behavioral characteristics exhibited by students in a cross-cultural learning environment, and the interaction patterns are the ways in which users interact with other users in a cross-cultural learning environment; Develop personalized teaching strategies that match the user's cultural adaptability based on the cross-cultural behavioral characteristics and interaction patterns; According to the user's learning characteristics and behaviors, as well as the evaluation results of the user's learning in a cross-cultural learning environment, personalized teaching feedback consistent with the user's cultural background is generated. The learning characteristics and behaviors are common characteristics exhibited by the user in the learning process.

2. The cross-cultural teaching management method according to claim 1, characterized in that: The data in the cross-cultural teaching activities include interaction data, learning resource data and cultural background data in the cross-cultural teaching activities; Among them, the interaction data includes the user's interaction frequency and duration, interaction content and interaction object; Learning resource data includes records of access to learning resources and usage of learning resources; Cultural background data includes user personal information and course information.

3. The cross-cultural teaching management method according to claim 1, characterized in that: The preprocessing of the data in the cross-cultural teaching activity includes: Cleaning the data in the cross-cultural teaching activity to obtain cleaned data; Performing text data conversion and dimensionality reduction processing on the cleaned data to obtain low-dimensional data; Feature selection is performed on the low-dimensional data to select features related to cross-cultural teaching evaluation and eliminate features irrelevant to the evaluation objectives.

4. The cross-cultural teaching management method according to claim 1, characterized in that: The identification of cross-cultural behavioral characteristics and interaction patterns in online classes through data mining includes: Predict user behavior and learning outcomes through predictive analytics technology; Identify user behavior patterns and preferences through machine learning technology; Understand users’ cultural background and emotional state through natural language processing technology.

5. The cross-cultural teaching management method according to claim 1, characterized in that: The method of formulating a personalized teaching strategy that is consistent with the user's cultural adaptability based on the cross-cultural behavioral characteristics and interaction patterns includes: Identify cultural conflicts and barriers that users may encounter; Analyze the differences among users from different cultural backgrounds; Based on the possible cultural conflicts and obstacles mentioned above, as well as the differences between users from different cultural backgrounds, develop personalized teaching strategies that are consistent with the users' cultural adaptability.

6. The cross-cultural teaching management method according to claim 1, characterized in that: The personalized teaching feedback that is consistent with the user's cultural background includes: Learning progress feedback: used to indicate the user's current learning progress and goal achievement; Learning difficulty feedback: used to indicate the learning difficulties and weak links of users and provide corresponding learning suggestions; Learning style feedback: used to analyze the user's learning style and provide targeted learning methods and resources; Learning motivation feedback: used to provide motivation and encouragement to help students maintain their interest and motivation in learning.

7. The cross-cultural teaching management method according to claim 1, characterized in that: The generating of personalized teaching feedback that is consistent with the user's cultural background based on the user's learning characteristics and behaviors and the evaluation results of the user's learning in a cross-cultural learning environment includes: Collect users’ learning data in cross-cultural learning environments; Identify users’ learning and behavioral characteristics; Analyze the user's learning outcomes according to the learning characteristics and behavior characteristics to obtain evaluation results; Generate personalized teaching feedback that is consistent with the students' cultural background based on the users' learning characteristics, behaviors, assessment results, and cultural background.

8. A cross-cultural teaching management system, characterized in that: The system comprises: Collection module: collect data from cross-cultural teaching activities; Preprocessing module: preprocessing the data in the cross-cultural teaching activities; Identification module: Identify cross-cultural behavior characteristics and interaction patterns in online classes, wherein the cross-cultural behavior characteristics are the behavior characteristics exhibited by users in a cross-cultural learning environment, and the interaction patterns are the ways in which users interact with other users in a cross-cultural learning environment; Strategy formulation module: formulate personalized teaching strategies that are consistent with the user's cultural adaptability based on the cross-cultural behavioral characteristics and interaction patterns; Feedback module: Generates personalized teaching feedback that is consistent with the user's cultural background based on the user's learning characteristics and behaviors, as well as the evaluation results of the user's learning in a cross-cultural learning environment. The learning characteristics and behaviors are common characteristics exhibited by the user during the learning process.

9. An electronic device, characterized in that: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: When the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to perform the method as claimed in any one of claims 1 to 7.

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