Innovation and entrepreneurship education teaching method and system based on artificial intelligence

Abstract

The invention is applicable to the technical field of intelligent education, and particularly relates to an innovation and entrepreneurship education teaching method and system based on artificial intelligence, applied to electronic equipment, the electronic equipment is in communication connection with a first terminal of each student of a first class, and the method comprises the following steps: the electronic equipment responds to completion instruction information sent by a teacher; sending the test content to the first terminal of each student of the first class; receiving a test result sent by the first terminal of each student of the first class; inputting the test result into the innovation and entrepreneurship education model to obtain corresponding first evaluation information; determining one-to-one corresponding second evaluation information based on the first evaluation information of each student of the first class; and sending the same simultaneous information to the first terminal and the second terminal corresponding to the first evaluation information and the second evaluation information in one-to-one correspondence. According to the innovation and entrepreneurship education teaching method based on artificial intelligence, communication can be promoted, and then the learning effect of innovation and entrepreneurship courses is improved.

Description

Technical Field

[0001] The present application belongs to the field of intelligent education technology, and in particular, relates to an innovative entrepreneurship education and teaching method and system based on artificial intelligence. Background Art

[0002] The innovative and entrepreneurial education and teaching method is an educational and teaching activity with the core goal of cultivating students' innovative spirit, entrepreneurial awareness and innovative and entrepreneurial ability.

[0003] Innovation and entrepreneurship education generally targets college students as the main target group. Colleges and universities generally offer compulsory or elective courses on innovation and entrepreneurship and integrate them into the talent training system. However, the traditional teaching method of innovation and entrepreneurship education is usually that teachers explain the theoretical knowledge and then ask students to write a plan or business book. Students lack communication with like-minded students, cannot listen to other students' ideas, and cannot exchange ideas with other students. As a result, their interest decreases, resulting in poor learning effects of innovation and entrepreneurship. Summary of the invention

[0004] The embodiment of the present application provides an innovation and entrepreneurship education and teaching method and system based on artificial intelligence, which can solve the problem of decreased interest and poor learning effect caused by the inability to communicate with other students and listen to opinions.

[0005] In a first aspect, an embodiment of the present application provides an innovation and entrepreneurship education and teaching method based on artificial intelligence, which is applied to an electronic device, wherein the electronic device is communicatively connected to a first terminal of each student in a first class, and the method includes: The electronic device sends the test content to the first terminal of each student in the first class in response to the completion instruction information sent by the teacher; wherein the completion instruction information is used to indicate that the teacher has completed the explanation of theoretical knowledge; Receiving test results sent by the first terminals of the students in the first class; wherein the test results are obtained after the students in the first class answer the test content; Inputting the test results into the innovation and entrepreneurship education model to obtain corresponding first evaluation information; Determine one-to-one corresponding second evaluation information based on the first evaluation information of each student in the first class; wherein the second evaluation information is evaluation information corresponding to students in the second class whose similarity to the corresponding first evaluation information is higher than a preset value; The same joint information is sent to the first terminal and the second terminal corresponding to the first evaluation information and the second evaluation information which have a one-to-one correspondence; the joint information is used to remotely connect the first terminal and the second terminal corresponding to the first evaluation information and the second evaluation information which have a one-to-one correspondence. The invention provides an innovation and entrepreneurship education and teaching method based on artificial intelligence. The electronic device responds to the completion instruction information sent by the teacher and sends the test content to the first terminal of each student in the first class. The test content is sent after the theoretical knowledge is explained, so that students can take the test on the basis of theoretical knowledge before the test. The test results are more representative, which can reduce the situation that students answer questions randomly due to insufficient theoretical knowledge. The test results sent by the first terminal of each student in the first class are received, and the test results are input into the innovation and entrepreneurship education model to obtain the corresponding first evaluation information, so as to accurately evaluate each student in the first class and understand the characteristics of each student, so as to accurately locate the problem and understand the strengths and weaknesses of the students. , in order to better lay the foundation for subsequent student matching; based on the first evaluation information of each student in the first class, determining the one-to-one corresponding second evaluation information can provide learning reference, educational resource sharing and exchange, which is conducive to establishing an educational resource sharing and exchange mechanism between different classes; sending the same joint information to the first terminal and the second terminal corresponding to the first evaluation information and the second evaluation information that have a one-to-one correspondence, through the joint connection, two like-minded students can communicate and exchange ideas, be exposed to different ways of thinking, innovative ideas and methods of solving problems, obtain new learning ideas and inspiration, help break the limitations of their own thinking, improve innovation and entrepreneurship capabilities, and enhance students' learning effects of innovation and entrepreneurship.

[0006] In a second aspect, an embodiment of the present application provides an innovation and entrepreneurship education and teaching system based on artificial intelligence, which is applied to an electronic device, wherein the electronic device is communicatively connected to a first terminal of each student in a first class, and the system includes: A response unit, configured for the electronic device to send test content to the first terminal of each student in the first class in response to the completion instruction information sent by the teacher; A receiving unit, configured to receive a test result sent by a first terminal of each student in the first class; A processing unit, configured to input the test result into an innovation and entrepreneurship education model to obtain corresponding first evaluation information; A determining unit, configured to determine one-to-one corresponding second evaluation information based on the first evaluation information of each student in the first class; The result unit is configured to send the same joint information to a first terminal and a second terminal corresponding to the first evaluation information and the second evaluation information which have a one-to-one correspondence.

[0007] In a third aspect, an embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements a method as described in any one of the first aspects above.

[0008] In a fourth aspect, an embodiment of the present application provides a computer program product. When the computer program product is run on an electronic device, the electronic device executes the innovation and entrepreneurship education and teaching method based on artificial intelligence as described in any one of the first aspects above.

[0009] It can be understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0011] Figure 1 It is a flowchart of an innovation and entrepreneurship education and teaching method based on artificial intelligence provided by an embodiment of the present application; Figure 2 It is a schematic diagram of the implementation process of step S200 in the innovation and entrepreneurship education and teaching method based on artificial intelligence provided by an embodiment of the present application; Figure 3 It is a schematic diagram of the implementation process of step S300 in the innovation and entrepreneurship education and teaching method based on artificial intelligence provided by an embodiment of the present application; Figure 4 It is a schematic diagram of the implementation process of step S303 in the innovation and entrepreneurship education and teaching method based on artificial intelligence provided by an embodiment of the present application; Figure 5 It is a schematic diagram of the implementation process of step S400 in the innovation and entrepreneurship education and teaching method based on artificial intelligence provided by an embodiment of the present application; Figure 6 It is a structural diagram of an innovation and entrepreneurship education and teaching system based on artificial intelligence provided by an embodiment of the present application; Figure 7 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0012] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0013] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0014] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0015] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0016] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0017] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0018] In related technologies, innovation and entrepreneurship education generally targets college students as the main target group. Colleges and universities generally offer compulsory or elective courses on innovation and entrepreneurship and integrate them into the talent training system. However, the traditional teaching method of innovation and entrepreneurship education is usually for teachers to explain the theoretical knowledge and then let students write a plan or business book, etc. Moreover, although students in the same class can discuss and communicate, they learn the same professional knowledge and skills. Students' thinking will be constrained by their professional background and lack interdisciplinary perspectives and innovative thinking, resulting in a single solution. Therefore, students lack communication with other like-minded students, cannot listen to other students' ideas, and cannot collide with other students' ideas. Students' interest decreases, resulting in poor learning effects of innovation and entrepreneurship.

[0019] To solve the above problems, the embodiment of the present application provides an innovation and entrepreneurship education and teaching method and system based on artificial intelligence. In this method, the electronic device responds to the completion instruction information sent by the teacher, sends the test content to the first terminal of each student in the first class, and sends the test content after the theoretical knowledge is explained, so that students can take the test on the basis of theoretical knowledge before the test, and the test results are more representative, which can reduce the situation where students answer questions randomly due to insufficient theoretical knowledge; receive the test results sent by the first terminal of each student in the first class, and input the test results into the innovation and entrepreneurship education model to obtain the corresponding first evaluation information, which can accurately evaluate each student in the first class, understand the characteristics of each student, accurately locate the problem, understand the strengths and weaknesses of the students, and better provide guidance for subsequent learning. Based on the first evaluation information of each student in the first class, the corresponding second evaluation information is determined, which can provide learning reference, sharing and exchange of educational resources, and is conducive to establishing a mechanism for sharing and exchange of educational resources between different classes; the same joint information is sent to the first terminal and the second terminal corresponding to the first evaluation information and the second evaluation information that have a one-to-one correspondence. Through the joint information, two like-minded students can communicate and exchange ideas, be exposed to different ways of thinking, innovative ideas and methods of solving problems, obtain new learning ideas and inspiration, help break the limitations of their own thinking, improve their innovation and entrepreneurship capabilities, and enhance the learning effect of students' innovation and entrepreneurship.

[0020] The innovation and entrepreneurship education and teaching method based on artificial intelligence provided in the embodiment of the present application can be applied to electronic devices. In this case, the electronic device is the executor of the innovation and entrepreneurship education and teaching method based on artificial intelligence provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of electronic device.

[0021] For example, the electronic device can be a laptop computer, a desktop computer, a smart screen, a smart TV and a computer, and can also be a teacher's computer or a computer in the classroom; the first terminal and the second terminal can be computers equipped for students in the classroom, students' own mobile phones or students' own computers.

[0022] In order to better understand the innovative entrepreneurship education and teaching method based on artificial intelligence provided in the embodiment of the present application, the specific implementation process of the innovative entrepreneurship education and teaching method based on artificial intelligence provided in the embodiment of the present application is exemplarily introduced below.

[0023] Figure 1 A schematic flow chart of an innovative entrepreneurship education and teaching method based on artificial intelligence provided in an embodiment of the present application is shown. The innovative entrepreneurship education and teaching method based on artificial intelligence includes: S100, the electronic device sends test content to the first terminal of each student in the first class in response to the completion instruction information sent by the teacher; wherein the completion instruction information is used to indicate that the teacher has completed the explanation of theoretical knowledge.

[0024] It can be understood that the test content includes test questions and test videos. The test questions include questions corresponding to the theoretical knowledge that teachers have completed, questions related to professional knowledge, questions from other majors, and common sense questions related to innovation and entrepreneurship. Among them, common sense questions related to innovation and entrepreneurship include questions on basic concepts of innovation and entrepreneurship, innovation theories and methods, market analysis and marketing, business models and operations, policies and laws, and industry dynamics and trends; among them, questions from other majors are systematic questions from other majors. Test videos include communication style test videos, decision-making scenario test videos, interest test videos in different innovation and entrepreneurship fields (different innovation and entrepreneurship fields include science and technology, cultural creativity, agriculture, service industry, etc.), and test videos presenting entrepreneurial project cases.

[0025] With such a configuration, the electronic device can send the test content to the first terminal of each student in the first class, that is, send the test content to the first terminal such as the mobile phone, tablet or computer of each student in the first class; wherein the mobile phone, tablet or computer of each student in the first class is communicatively connected with the electronic device.

[0026] S200, receiving test results sent by the first terminals of the students in the first class; wherein the test results are obtained after the students in the first class answer the test content.

[0027] Exemplarily, the electronic device receives the test result by receiving the test result sent by the first terminal; wherein, after the student completes the test on his / her terminal, the student sends the answer to the electronic device through the first terminal.

[0028] In one possible implementation, see Figure 2The test results in S200 include basic information of students in the first class, a first test result, and a second test result. The basic information is used to reflect the majors and colleges corresponding to each student in the first class. The first test result is obtained by the students in the first class after answering the test questions on the first terminal, and the second test result is obtained by the students in the first class after answering the test video on the first terminal.

[0029] It can be understood that the majors and colleges corresponding to the students in the first class can be input by the students through the electronic device. After the students in the first class answer the test questions on the first terminal, what is obtained is the answers of the students in the first class to the questions corresponding to theoretical knowledge, questions related to professional knowledge, questions of other majors and common sense questions related to innovation and entrepreneurship, that is, the answers of the students in the first class to the basic concepts of innovation and entrepreneurship, the answers of the students in the first class to the innovation theory and method, the answers of the students in the first class to market analysis and marketing, the answers of the students in the first class to the business model and operation, and the answers of the students in the first class to the questions on policies and laws and industry dynamics and trends. After students answer the test videos on the first terminal, they will obtain the video browsing and operation of the communication style test video, decision-making scenario test video, interest test videos in different innovation and entrepreneurship fields (different innovation and entrepreneurship fields include science and technology, cultural creativity, agriculture, service industry, etc.) and test videos presented by entrepreneurial project cases by each student in the first class. Based on the video browsing and operation, the browsing time and operation results of the communication style test video, the browsing time and operation results of the decision-making scenario test video, the browsing time and operation results of the interest test video and the browsing time and operation results of the test video presented by entrepreneurial project cases are obtained. The browsing time can be the time spent on this video and the number of times the student modifies the operation results during the stay time. The stay time and the number of modifications can reflect the student's interests and personality. Among them, the more modifications, the more uncertain he is, which can show that his personality is decisive, hesitant or pertinent. The stay time on the video can show the student's interest. If the stay time is very short (for example, it is only 1 second or 2 seconds), it proves that he is not interested in it. On the contrary, the longer the stay time, the more interested he is in other things or the less proficient he is in this field. Two types can be clearly identified, and then combined with other video results to judge the situation of each student.

[0030] Input the test results into the innovation and entrepreneurship education model to obtain the corresponding first evaluation information, including: The basic information, the first test result and the second test result are input into the innovation and entrepreneurship education model to obtain the first evaluation information.

[0031] It can be understood that the basic information, the first test result and the second test result are used as input data, and the first evaluation information output by the innovation and entrepreneurship education model is used as output data.

[0032] In one possible implementation, see Figure 2 The first test result includes knowledge ability information and amateur knowledge information. The knowledge ability information is the degree of mastery of professional knowledge by each student in the first class after answering the professional knowledge part on the first terminal. The amateur knowledge information is the degree of understanding of knowledge in other fields by each student in the first class after answering the knowledge part in other fields on the first terminal.

[0033] Input the basic information, the first test results and the second test results into the innovation and entrepreneurship education model to obtain the first evaluation information, including: The basic information, knowledge and ability information, amateur knowledge information and the second test result are input into the innovation and entrepreneurship education model to obtain the first evaluation information.

[0034] It can be understood that the professional knowledge part is the professional course knowledge corresponding to the first class. The professional knowledge part of the test questions is tested by each student in the first class, and the answers of each student in the first class to the professional knowledge part of the test questions are obtained. The answers are compared with the standard answers to obtain the correct rate, and the mastery level value corresponding to the correct rate is matched according to the correct rate. The knowledge part of other fields includes questions of other majors and common sense questions related to innovation and entrepreneurship. The students in the first class answered questions of other majors and common sense questions related to innovation and entrepreneurship, and obtained answers corresponding to questions of other majors and answers to common sense questions related to innovation and entrepreneurship. The answers corresponding to questions of other majors were compared with the standard answers of questions of other majors to obtain comparison results, and the comparison results were determined as the degree of understanding of questions of other majors. Then, the answers to common sense questions related to innovation and entrepreneurship were matched with the reference answers to common sense questions related to innovation and entrepreneurship based on keywords or core points (keywords can be two-word or four-word keywords in a sentence, and the accuracy rate of four-word keywords is greater than the accuracy rate of two-word keywords, and the core points can be correct in direction, similar in meaning, and different in description) to obtain the degree of understanding of common sense questions related to innovation and entrepreneurship. The degree of understanding of questions of other majors and the degree of understanding of common sense questions related to innovation and entrepreneurship were weighted, with the weight of the degree of understanding of questions of other majors being 35%, and the weight of the degree of understanding of common sense questions related to innovation and entrepreneurship being 65%. After weight calculation, the total test value was obtained, and the total test value was determined as amateur knowledge information.

[0035] With such a setting, by testing the professional knowledge part and the knowledge part in other fields, a better basis can be laid for subsequent matching, the matched students can be more reasonable, the differences between students can be reduced, and the complementarity between the two can be improved as much as possible.

[0036] In one possible implementation, see Figure 2 The second test result includes personality information and interest information. The personality information is the introverted personality or extroverted personality obtained after the students in the first class answer the personality part on the first terminal. The interest information is the interest type of each student in the first class obtained after the students in the first class answer the interest part on the first terminal.

[0037] Input the basic information, the first test results and the second test results into the innovation and entrepreneurship education model to obtain the first evaluation information, including: The basic information, the first test result, the personality information and the interest information are input into the innovation and entrepreneurship education model to obtain the first evaluation information.

[0038] Exemplarily, each student in the first class takes a test on a communication style test video and a decision-making situation test video in the test video, wherein the student's communication style is judged by the answer in the communication style test video, and the decision content and decision speed of the student are obtained in the decision-making situation test, and the student is determined to be an introvert or an extrovert according to the communication style and the decision speed; the decision condition may be, for example, that student A has a humorous communication style, a long communication time, and a fast decision-making speed (a fast decision-making speed may be made within 5 seconds or less), so the student may be judged to be an extrovert; on the contrary, student B has a more implicit and tactful communication style, a short communication time, and a slow decision-making speed (the normal decision-making time is 1 minute, while the slow speed may be to make a decision in the last 5 seconds or 1 second), so the student may be judged to be an introvert.

[0039] The students in the first class browse and operate the technology test videos, cultural and creative test videos, agricultural test videos, service industry test videos and other test videos respectively, and then operate the test videos presented by the entrepreneurial project cases. Among them, when the students in the first class browse and operate the technology test videos, cultural and creative test videos, agricultural test videos, service industry test videos and other test videos respectively, the students in the first class can choose to skip the technology test videos, cultural and creative test videos, agricultural test videos, service industry test videos that they are not interested in, or directly browse and operate the one they are interested in, so as to directly determine the student's interest information; those who browse and operate all the technology test videos, cultural and creative test videos, agricultural test videos, service industry test videos and other test videos are students in the first class who are not sure which one they are interested in, and they can browse and operate all the test videos one by one. First, browse and operate. During the browsing and operation, the interest information is still determined according to the browsing time, that is, the dwell time and the number of modifications; after browsing and operating all the test videos, the dwell time and the number of modifications of each test video are obtained, and the test video with the longest dwell time and the least number of modifications is selected; each student in the first class then operates the test video presenting the entrepreneurial project case to obtain which direction the effect of the entrepreneurial project case presentation is more inclined to (directions include science and technology, cultural creativity, agriculture, service industry, etc.), and determine the direction of interest; then determine the direction of the test video with the longest dwell time and the least number of modifications, and combine the determined direction of interest to obtain interest information.

[0040] With this setting, students who are not sure what they are interested in can accurately determine their areas of interest through multiple test videos. It can also help students who know their areas of interest to determine them more conveniently and quickly, saving the time needed for browsing and testing everything, allowing for more communication time, which is helpful for subsequent matching and collaboration.

[0041] S300, input the test results into the innovation and entrepreneurship education model to obtain corresponding first evaluation information.

[0042] It can be understood that the innovation and entrepreneurship education model is trained by machine learning using multiple sets of data, taking basic information, knowledge and ability information, amateur knowledge information, personality information and interest information as input, and taking the first evaluation information of the answers to the test results as output; the innovation and entrepreneurship education model is trained by testing questions in the input test results (the test questions include the answers of the first class students to the basic concepts of innovation and entrepreneurship, the answers of the first class students to innovation theories and methods, the answers of the first class students to market analysis and marketing, the answers of the first class students to business models and operations, and the answers of the first class students to questions on policies and laws and industry dynamics and trends), as well as test videos in the test results (the test videos include the operation results of communication style test videos, decision-making scenario test videos, interest test videos in different innovation and entrepreneurship fields, and test video operation results of entrepreneurial project case presentations).

[0043] In one possible implementation, see Figure 3 , S300, inputting the test results into the innovation and entrepreneurship education model, and obtaining the corresponding first evaluation information, including: S301, obtaining course information in the course system; wherein the course information is used to reflect the arrangement of innovation and entrepreneurship courses for other classes of the same grade as the first class.

[0044] It can be understood that the course system can be a system in the school teaching system; the course system is a system used to store all class course arrangements.

[0045] S302, determining multiple class information based on the course information; wherein the class information is used to indicate the second class taking the innovation and entrepreneurship course at the same time at the current time, the major corresponding to the second class, and the college where the second class is located.

[0046] Exemplarily, multiple course information is obtained in the course system, and the second class taking the innovation and entrepreneurship course at the current time is obtained from the multiple course information; it can be achieved by comparing all classes taking the innovation and entrepreneurship course at the current time, and then determining the class with the same grade as the first class from all classes of the innovation and entrepreneurship course, and then determining the second class from the classes with the same grade.

[0047] S303, determining a class-linked class information from a plurality of class information.

[0048] Exemplarily, first obtain all classes with the same grade but different colleges that take the innovation and entrepreneurship course at the same time, obtain the major of each class, associate the obtained majors with the major of the first class, and obtain multiple correlation values; then compare the number of students in each class of all classes with the same grade that take the innovation and entrepreneurship course at the same time with the number of students in the first class to obtain multiple number comparison results, compare the multiple correlation values ​​and the multiple number comparison results with preset values ​​respectively, and determine the class that meets the preset values ​​as the second class, that is, determine the class information of a classroom joint.

[0049] In one possible implementation, see Figure 4 S303, determining a class joint class information from multiple class information, including: S3031, respectively obtain the major corresponding to the second class indicated by each class information.

[0050] Exemplarily, it can be obtained according to the class name of the second class, according to the college corresponding to the second class, or according to the major corresponding to the enrollment code of the second class, etc., but it is not limited to this.

[0051] S3032, professionally associate the major of the first class with the major corresponding to the second class indicated by each class information to determine multiple association information; wherein the association information is used to indicate the skill complementarity degree value and knowledge complementarity degree value between the major of the first class and the major corresponding to each second class.

[0052] It can be understood that skill complementarity refers to the mutual complementation and cooperation between different individuals in various practical operation capabilities and technical capabilities, so as to achieve the effect of better completing tasks or achieving goals; for example, in a software development project, programmers have the skills to write code and can implement the functional logic of the software; designers are good at interface design and can make the software have a beautiful and easy-to-use user interface, which together ensures the smooth progress of the software development project. Knowledge complementarity refers to the differences in knowledge reserves and knowledge fields among different people, and the sharing and integration of knowledge can be achieved through mutual communication and cooperation.

[0053] For example, the major of the first class is associated with the major of the second class indicated by each class information, and the skill complementarity value can be obtained by using the skill complementarity value calculation formula, and the knowledge complementarity value can be obtained by using the knowledge complementarity value calculation formula. The skill complementarity value calculation formula is: ; Two majors in skills The weight value on is the importance weight of the skill in the target scenario; The closer it is to 1, the greater the skill complementarity value; the formula corresponding to the knowledge complementarity value is: + ; and It is a professional feature point; The possible value is 0.4. The possible value is 0.6. The knowledge graph is used to associate subject areas, and the semantic similarity (for example, the Word2Vec model) and path distance of the two majors in the knowledge graph are calculated; the knowledge graph is a structured semantic knowledge base that organizes and represents knowledge in the form of a graph structure; semantic similarity is a measure of the semantic similarity between two words, phrases or texts; in the knowledge graph, the path distance refers to the number of hops of the shortest path between two entities, for example, directly connected: the distance is 1 (for example, "cat→belongs to→animal"); indirectly connected: the distance is the number of edges in the path (for example, "cat→belongs to→animal→contains→mammal", the distance is 2).

[0054] S3033, determining priority associated information from multiple associated information according to a first priority condition; wherein the first priority condition is that the skill complementarity degree value and the knowledge complementarity degree value indicated by any associated information are greater than the skill complementarity degree value and the knowledge complementarity degree value indicated by any other associated information.

[0055] Exemplarily, a method for determining priority associated information from multiple associated information, for example, there are 3 associated information A, B and C, among which the skill complementarity value in the A associated information is 0.9 and the knowledge complementarity value is 0.8, the skill complementarity value in the B associated information is 0.85 and the knowledge complementarity value is 0.73, and the skill complementarity value in the C associated information is 0.8 and the knowledge complementarity value is 0.3, and then the average value of the A associated information, the average value of the B associated information and the average value of the C associated information are calculated respectively, that is, the average value of the A associated information is greater than the average value of the B associated information, and the average value of the B associated information is greater than the average value of the C associated information, then the A associated information is determined as the priority associated information.

[0056] S3034, obtaining the number of students in the second class indicated by each class information.

[0057] Exemplarily, it can be input by the teacher based on the actual number of people, or it can be obtained from the system information of the class; the system information of the class can be established by the class, and the system information of the class includes the class name, number of people, positions, majors, colleges, course information and courses studied in the class, but is not limited to this.

[0058] S3035, compare the number of students in the first class with the number of students in the second class indicated by each class information to obtain multiple number of students information; wherein the number of students information is used to indicate the ratio between the number of students in the first class and the number of students in the second class indicated by the class information, and the ratio is X:Y, X is the number of students in the first class, and Y is the number of students in the second class indicated by the class information.

[0059] Exemplarily, the number of students in the first class is taken as X, and the number of students in the second class indicated by each class information is taken as Y, so there are multiple number information, that is, X:Y (there are multiple); for example, the number of students in the first class is 35, there are 5 Ys, and the number of people is 15, 30, 45, 35 and 60, then the ratios indicated by each number information are 35:15, 35:30, 35:45, 35:35 and 35:60.

[0060] S3036, determining priority number of people information from multiple number of people information according to a second priority condition; wherein the second priority condition is that X is equal to or greater than Y, and X equal to Y takes precedence over X greater than Y.

[0061] Exemplarily, according to the example in step S3035, the priority number information is determined from 35:15, 35:30, 35:45, 35:35 and 35:60. According to the second priority condition, it can be known that 35:35 is the priority number information. In addition, if the priority number information is determined from 35:15, 35:30, 35:45 and 35:60, 35:45 will be used as the priority number information. If there are only 35:15 and 35:30, then a prompt message is obtained, that is, the prompt message is used to indicate that there is no class that meets the requirements for joint establishment.

[0062] S3037, determining a class-related class information based on the priority association information and the priority number of people information.

[0063] Exemplarily, the second class to which the skill complementarity degree value and the knowledge complementarity degree value indicated by the priority association information and the X:Y ratio indicated by the priority number of people information jointly correspond is determined as the class information.

[0064] With this setting, the system can automatically generate the optimal interdisciplinary combination through skill complementarity and knowledge complementarity; complementary joint classrooms can produce a synergistic effect, match the most advantageous combination of class majors, improve the learning effect of innovation and entrepreneurship, facilitate thinking and communication among students, and provide students with diversified teaching methods.

[0065] S304, the electronic device sends a remote classroom joint request message to the second class indicated by the determined class information.

[0066] It can be understood that the request information in sending the remote classroom joint request information can be a notification, a pop-up window in the application, or an interactive interface, but is not limited to this.

[0067] S305, after completing sending the remote classroom joint request information, detecting the operation information of the class taking the innovation and entrepreneurship course at the current time; wherein the operation information includes the first operation information and the second operation information, the first operation information is used to indicate that the class taking the innovation and entrepreneurship course at the current time agrees to the remote classroom joint request, and the second operation information is used to indicate that the class taking the innovation and entrepreneurship course at the current time does not agree to the remote classroom joint request.

[0068] Exemplarily, after completing the sending of the remote classroom linkage request information, the operation status of the sent request by the classes taking the innovation and entrepreneurship course at the same time is detected in real time; that is, after the first class sends a classroom linkage request to the second class indicated by the determined class information, the options operated by the second class are detected through the background system.

[0069] S306: If the operation information is the first operation information, remote classroom linkage is performed.

[0070] For example, if the background system detects that the option operated by the second class is the first operation information, it proves that the class taking the innovation and entrepreneurship course at the same time agrees to the remote classroom joint request, so that the first class and the class taking the innovation and entrepreneurship course at the same time can be connected to the remote classroom.

[0071] In a possible implementation, the method further includes: If the operation information is the second operation information, a remote classroom joint request message is sent to other classes taking the innovation and entrepreneurship course at the same time, or the operation of sending the remote classroom joint request is stopped.

[0072] Exemplarily, if the background system detects that the option operated by the second class is the second operation information, it proves that the class taking the innovation and entrepreneurship course at the current time has rejected the remote classroom joint request, so that according to the actual situation, the first class continues to determine the second class taking the innovation and entrepreneurship course at the current time as indicated by the class information, and sends the remote classroom joint request information to the second class, or the first class stops determining the second class taking the innovation and entrepreneurship course at the current time as indicated by the class information.

[0073] Such a setting can cultivate students' adaptability and innovative consciousness. Students from different classes, majors and colleges can interact and communicate in the remote classroom, share their ideas, experiences and opinions, which helps to stimulate innovative thinking, cultivate teamwork and communication skills, and allow students to look at innovation and entrepreneurship issues from different perspectives and improve their problem-solving ability, which helps to improve students' interest in and learning effects of innovation and entrepreneurship courses.

[0074] S400, determining one-to-one corresponding second evaluation information based on the first evaluation information of each student in the first class; wherein the second evaluation information is evaluation information corresponding to students in the second class whose similarity with the corresponding first evaluation information is higher than a preset value.

[0075] Exemplarily, the first class has multiple students, and the test results of each student are obtained by using multiple first evaluation information obtained by the innovation and entrepreneurship education model. The test results of each student in the second class also obtain multiple second evaluation information through the innovation and entrepreneurship education model. The multiple first evaluation information and the multiple second evaluation information are compared for similarity, so that the first evaluation information of each student in the first class can be obtained to determine the corresponding second evaluation information; wherein, the method for determining a single second evaluation information from a single first evaluation information can be that, if the similarity value of the first evaluation information and the second evaluation information is 80%, and the preset value is 75%, then 80% is greater than 75%, so the similarity between the first evaluation information and the second evaluation information is higher than the preset value, and then the second evaluation information is determined.

[0076] In one possible implementation, see Figure 5 S400, before determining the one-to-one corresponding second evaluation information based on the first evaluation information of each student in the first class, including: S400A, sending the test content to the second terminal of each student in the second class.

[0077] Exemplarily, the test content includes test questions and test videos; the electronic device of the second class sends the test content to the second terminal of each student of the second class in response to the completion instruction information sent by the teacher, and the test content sent to the second terminal of each student of the second class is roughly the same as the test content sent to the first class, only the professional knowledge part and the questions of other majors are different from the test content of the first class, and the rest are the same test questions; the test video is the same as the test video of the first class; that is, the test questions include questions corresponding to the theoretical knowledge completed by the teacher, questions related to professional knowledge, questions of other majors and common sense questions related to innovation and entrepreneurship, among which the common sense questions related to innovation and entrepreneurship include questions on basic concepts of innovation and entrepreneurship, innovation theories and methods, market analysis and marketing, business models and operations, policies and laws, and industry dynamics and trends. The test videos include communication style test videos, decision-making scenario test videos, interest test videos in different innovation and entrepreneurship fields (different innovation and entrepreneurship fields include science and technology, cultural creativity, agriculture, service industry, etc.) and test videos presenting entrepreneurial project cases.

[0078] S400B, receiving the test results sent by the second terminals of the students in the second class; wherein the test results are obtained after the students in the second class answer the test content.

[0079] Exemplarily, the method is the same as step S200, that is, the electronic device receives the test result through an online learning management system; wherein, after the student completes the test on his or her terminal, the student submits the answer to the electronic device through his or her terminal.

[0080] S400C, input the test results into the innovation and entrepreneurship education model to obtain corresponding second evaluation information.

[0081] It can be understood that the innovation and entrepreneurship education model is trained by machine learning using multiple sets of data, taking basic information, knowledge and ability information, amateur knowledge information, personality information and interest information as input, and taking the second evaluation information of the answers to the test results as output; the innovation and entrepreneurship education model is trained by testing questions in the input test results (the test questions include the answers of the students in the second class to the basic concepts of innovation and entrepreneurship, the answers of the students in the second class to innovation theories and methods, the answers of the students in the second class to market analysis and marketing, the answers of the students in the second class to business models and operations, and the answers of the students in the second class to questions on policies and laws and industry dynamics and trends), as well as test videos in the test results (the test videos include the operation results of communication style test videos, decision-making scenario test videos, interest test videos in different innovation and entrepreneurship fields, and test video operation results of entrepreneurial project case presentations).

[0082] S500, sending the same joint information to the first terminal and the second terminal corresponding to the first evaluation information and the second evaluation information in a one-to-one correspondence; the joint information is used to remotely connect the first terminal and the second terminal corresponding to the first evaluation information and the second evaluation information in a one-to-one correspondence.

[0083] It can be understood that the joint information is used to enable the first terminal and the second terminal corresponding to the first evaluation information and the second evaluation information that have a one-to-one correspondence to be remotely connected through different software; for example, the software can be Tencent Conference, video software, WeChat voice or telephone, etc., but not limited to this. In addition, each class has electronic equipment, the first class's electronic equipment (teacher's computer or multimedia computer in the classroom, etc.), and the first terminal (students' mobile phones, tablets or computers), the second class's electronic equipment (teacher's computer or multimedia computer in the classroom, etc.), and the second terminal (students' mobile phones, tablets or computers), so the microcomputer teacher's switchboard computer (also called teacher's computer or main control computer) can also be the electronic equipment, and the other computers, that is, the computers used by students, are controlled computers or student computers, etc.; the linkage process can be: the main control computer in the first class sends a classroom linkage invitation to the main control computer of the second class, and the main control computer of the second class agrees or refuses according to the opinions of the students and / or the teacher; after agreeing, the main control computer of the second class sends the information of each controlled computer to the main control computer of the first class one by one, and the main control computer of the first class then matches each student of the second class with each student in the first class one by one, and links the students of the second class with the students of the first class one by one.

[0084] To sum up, the innovation and entrepreneurship education and teaching methods based on artificial intelligence can increase students' interest in innovation and entrepreneurship courses, promote communication between students of different majors or colleges, and help improve problem-solving skills while listening to other students' ideas and colliding with other students' ideas, thereby improving students' innovation and entrepreneurship learning effects.

[0085] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0086] Corresponding to the innovation and entrepreneurship education and teaching method based on artificial intelligence described in the above embodiment, the embodiment of the present application also provides an innovation and entrepreneurship education and teaching system based on artificial intelligence, and each unit of the system can implement each step of the innovation and entrepreneurship education and teaching method based on artificial intelligence. Figure 6 A structural block diagram of an innovation and entrepreneurship education and teaching system based on artificial intelligence provided by an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0087] Reference Figure 6 The innovation and entrepreneurship education and teaching system based on artificial intelligence is applied to an electronic device, and the electronic device is connected to a first terminal of each student in a first class in communication. The system includes: A response unit, used for the electronic device to send the test content to the first terminal of each student in the first class in response to the completion instruction information sent by the teacher; A receiving unit, used for receiving the test results sent by the first terminal of each student in the first class; A processing unit, used to input the test results into the innovation and entrepreneurship education model to obtain corresponding first evaluation information; A determining unit, configured to determine one-to-one corresponding second evaluation information based on the first evaluation information of each student in the first class; The result unit is used to send the same joint information to the first terminal and the second terminal corresponding to the first evaluation information and the second evaluation information which have a one-to-one correspondence.

[0088] It should be noted that the information interaction, execution process, etc. between the above-mentioned systems / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0089] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0090] The embodiment of the present application also provides an electronic device, Figure 7 This is a schematic diagram of the structure of an electronic device provided by an embodiment of the present application. Figure 7 As shown, the electronic device 6 of this embodiment includes: at least one processor 60 ( Figure 7 Only one is shown), at least one memory 61 ( Figure 7 Only one is shown in the figure) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the electronic device 6 implements the steps in any of the above-mentioned embodiments of the innovation and entrepreneurship education and teaching method based on artificial intelligence, or implements the functions of each module / unit in the above-mentioned system embodiments.

[0091] Exemplarily, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 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 62 in the electronic device 6.

[0092] The electronic device 6 may be a computing device such as a desktop computer or a notebook. The electronic device may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will appreciate that Figure 7 It is only an example of the electronic device 6 and does not constitute a limitation on the electronic device 6. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, buses, etc.

[0093] The processor 60 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 any conventional processor, etc.

[0094] In some embodiments, the memory 61 may be an internal storage unit of the electronic device 6, such as a hard disk or memory of the electronic device 6. In other embodiments, the memory 61 may also be an external storage device of the electronic device 6, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the electronic device 6. The memory 61 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0095] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0096] An embodiment of the present application provides a computer program product. When the computer program product is executed on an electronic device, the electronic device implements the steps in any of the above method embodiments.

[0097] If the integrated unit 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 this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to an electronic device, a recording medium, a computer memory, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), an electric carrier signal, a telecommunication signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0098] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0099] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0100] In the embodiments provided in the present application, it should be understood that the disclosed innovation and entrepreneurship education and teaching system, electronic device and method based on artificial intelligence can be implemented in other ways. For example, the above-described embodiments of the innovation and entrepreneurship education and teaching system and electronic device based on artificial intelligence are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0101] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0102] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. An innovative and entrepreneurial education and teaching method based on artificial intelligence, characterized in that: Applied to an electronic device, the electronic device is communicatively connected to a first terminal of each student in a first class, the method comprising: The electronic device sends the test content to the first terminal of each student in the first class in response to the completion instruction information sent by the teacher; wherein the completion instruction information is used to indicate that the teacher has completed the explanation of theoretical knowledge; Receiving test results sent by the first terminals of the students in the first class; wherein the test results are obtained after the students in the first class answer the test content; Inputting the test results into the innovation and entrepreneurship education model to obtain corresponding first evaluation information; Determine one-to-one corresponding second evaluation information based on the first evaluation information of each student in the first class; wherein the second evaluation information is evaluation information corresponding to students in the second class whose similarity to the corresponding first evaluation information is higher than a preset value; The same joint information is sent to the first terminal and the second terminal corresponding to the first evaluation information and the second evaluation information which have a one-to-one correspondence; the joint information is used to remotely connect the first terminal and the second terminal corresponding to the first evaluation information and the second evaluation information which have a one-to-one correspondence.

2. The innovation and entrepreneurship education and teaching method based on artificial intelligence as claimed in claim 1 is characterized by: The test result includes basic information of the students in the first class, a first test result, and a second test result, wherein the basic information is used to reflect the major and college of each student in the first class, the first test result is obtained after the students in the first class answer the test questions on the first terminal, and the second test result is obtained after the students in the first class answer the test video on the first terminal; The step of inputting the test result into the innovation and entrepreneurship education model to obtain corresponding first evaluation information includes: The basic information, the first test result and the second test result are input into the innovation and entrepreneurship education model to obtain the first evaluation information.

3. The innovation and entrepreneurship education and teaching method based on artificial intelligence as claimed in claim 2 is characterized by: The first test result includes knowledge ability information and amateur knowledge information, wherein the knowledge ability information is a value of the mastery degree of professional knowledge of each student in the first class obtained after the students in the first class answer the professional knowledge part on the first terminal, and the amateur knowledge information is a value of the understanding degree of knowledge of other fields obtained after the students in the first class answer the knowledge part of other fields on the first terminal; Inputting the basic information, the first test result and the second test result into the innovation and entrepreneurship education model to obtain the first evaluation information includes: The basic information, the knowledge and ability information, the amateur knowledge information and the second test result are input into the innovation and entrepreneurship education model to obtain the first evaluation information.

4. The innovation and entrepreneurship education and teaching method based on artificial intelligence as claimed in claim 2 is characterized by: The second test result includes personality information and interest information, wherein the personality information is the introverted personality or extroverted personality obtained after the students of the first class answer the personality part on the first terminal, and the interest information is the interest type of each student of the first class obtained after the students of the first class answer the interest part on the first terminal; Inputting the basic information, the first test result and the second test result into the innovation and entrepreneurship education model to obtain the first evaluation information includes: The basic information, the first test result, the personality information and the interest information are input into the innovation and entrepreneurship education model to obtain the first evaluation information.

5. The innovation and entrepreneurship education and teaching method based on artificial intelligence as claimed in claim 1 is characterized in that: After inputting the test result into the innovation and entrepreneurship education model to obtain the corresponding first evaluation information, the method includes: Obtaining course information in a course system; wherein the course information is used to reflect the arrangement of innovation and entrepreneurship courses for other classes of the same grade as the first class; Determine multiple class information based on the course information; wherein the class information is used to indicate the second class taking the innovation and entrepreneurship course at the same time at the current time, the major corresponding to the second class and the college where the second class is located; Determine the class information associated with a class from a plurality of class information; The electronic device sends a remote classroom joint request message to the second class indicated by the determined class information; After sending the remote classroom joint request information, detecting operation information of the class taking the innovation and entrepreneurship course at the current time; wherein the operation information includes first operation information and second operation information, the first operation information is used to indicate that the class taking the innovation and entrepreneurship course at the current time agrees to the remote classroom joint request, and the second operation information is used to indicate that the class taking the innovation and entrepreneurship course at the current time does not agree to the remote classroom joint request; If the operation information is the first operation information, remote classroom linkage is performed.

6. The innovation and entrepreneurship education and teaching method based on artificial intelligence as claimed in claim 5 is characterized by: The method further comprises: If the operation information is the second operation information, a remote classroom joint request message is sent to other classes taking the innovation and entrepreneurship course at the same time, or the operation of sending the remote classroom joint request is stopped.

7. The innovation and entrepreneurship education and teaching method based on artificial intelligence as claimed in claim 1 is characterized by: Before determining the one-to-one corresponding second evaluation information based on the first evaluation information of each student in the first class, the method includes: Sending the test content to the second terminal of each student in the second class; Receiving test results sent by the second terminals of the students in the second class; wherein the test results are obtained after the students in the second class answer the test content; The test result is input into the innovation and entrepreneurship education model to obtain the corresponding second evaluation information.

8. The innovation and entrepreneurship education and teaching method based on artificial intelligence as claimed in claim 5 is characterized by: The step of determining the class information associated with a class from the plurality of class information includes: Respectively obtain the major corresponding to the second class indicated by each of the class information; Associating the major of the first class with the major corresponding to the second class indicated by each of the class information to determine a plurality of association information; wherein the association information is used to indicate the skill complementarity degree value and the knowledge complementarity degree value between the major of the first class and the major corresponding to each of the second classes; Determine priority association information from the plurality of association information according to a first priority condition; wherein the first priority condition is that the skill complementarity degree value and the knowledge complementarity degree value indicated by any one of the association information are greater than the skill complementarity degree value and the knowledge complementarity degree value indicated by any other one of the association information; Obtaining the number of students in the second class indicated by each of the class information; Compare the number of students in the first class with the number of students in the second class indicated by each of the class information to obtain a plurality of number of students information; wherein the number of students information is used to indicate the ratio between the number of students in the first class and the number of students in the second class indicated by the class information, and the ratio is X:Y, where X is the number of students in the first class and Y is the number of students in the second class indicated by the class information; Determine the priority number of people information from the plurality of number of people information according to a second priority condition; wherein the second priority condition is that X is equal to or greater than Y, and X being equal to Y takes precedence over X being greater than Y; The class information associated with a class is determined based on the priority association information and the priority number of people information.

9. An innovation and entrepreneurship education and teaching system based on artificial intelligence, characterized in that: Applied to an electronic device, the electronic device is communicatively connected to a first terminal of each student in a first class, and the system includes: A response unit, configured for the electronic device to send test content to the first terminal of each student in the first class in response to the completion instruction information sent by the teacher; A receiving unit, configured to receive a test result sent by a first terminal of each student in the first class; A processing unit, configured to input the test result into an innovation and entrepreneurship education model to obtain corresponding first evaluation information; A determining unit, configured to determine one-to-one corresponding second evaluation information based on the first evaluation information of each student in the first class; The result unit is configured to send the same joint information to a first terminal and a second terminal corresponding to the first evaluation information and the second evaluation information which have a one-to-one correspondence.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 8 is implemented.

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