Computer information education teaching system based on artificial intelligence

Abstract

The invention provides a computer information education teaching system based on artificial intelligence. Artificial intelligence is adopted to provide auxiliary guidance for teacher teaching and student learning task completion. On one hand, the student module is provided with a separate teaching information receiving and course heuristic information reporting corresponding artificial intelligence auxiliary processing module, so that the dynamic supervision on the course learning completion condition of the student is realized, and the heuristic education of the student learning, the regulation of the self-learning information and the sharing of the same course are covered at the same time. And on the other hand, grouping management of student modules and intelligent configuration of teaching tasks are realized by establishing an AI auxiliary teaching group. Meanwhile, the teaching regulation module complementary with the teacher module is arranged, heuristic information of students in the learning process is systematically collected, configuration suggestions of teachers on the teaching content are also received, and therefore three-way feedback type updating of the teaching content is achieved. And finally, the intelligent education teaching central platform is used for undertaking a double-layer system management function of system general control and learning information intelligent processing, system information structured processing and platform management are realized through secondary processing of the first type of learning information, the intelligence degree of computer information education teaching is improved, and the teaching efficiency is improved. And application of related informatization technologies such as artificial intelligence and the like in the education field is effectively promoted.

Description

Technical Field

[0001] The present invention is applied to computer information-based teaching scenarios, belongs to the field of new generation information technology, and particularly relates to a computer information education and teaching system based on artificial intelligence. Background Art

[0002] With the application of large models and artificial intelligence technology in daily life, intelligent data processing in scenarios such as venue exhibitions, electronic ticket purchases, travel cloud map analysis, and information-based teaching has become increasingly mature. Artificial intelligence (AI for short) is a cutting-edge technology system that simulates human intelligent behavior and thinking patterns. It aims to give machines the ability to learn autonomously, make inferences and decisions, and solve problems through multidisciplinary cross-disciplinary research such as computer science, mathematical modeling, and neuroscience. Its core architecture is based on a complex algorithm framework, in which deep learning technology can automatically extract data features and perform pattern recognition by building multi-layer neural networks to simulate the connection and information transmission mechanism of human brain neurons. For example, in the field of image recognition, convolutional neural networks (CNNs) can accurately identify object contours and texture features by learning massive image data, and achieve high-precision image classification and target detection. In addition, artificial intelligence also relies on reinforcement learning technology to enable machines to optimize behavioral strategies through trial and error and feedback mechanisms in specific environments, thereby making optimal decisions in dynamic scenarios. Its powerful natural language processing capabilities achieve smooth interaction between humans and machines through semantic analysis and context understanding, and are widely used in intelligent customer service, language translation and other fields. Artificial intelligence's efficient parallel computing and data processing capabilities enable it to demonstrate huge application potential in complex scenarios such as medical diagnosis, financial risk prediction, and autonomous driving. It is driving various industries to develop in the direction of intelligence and efficiency, and has become an important driving force for modern science and technology.

[0003] In the process of computer information-based teaching, the introduction of related technologies represented by artificial intelligence is also gaining momentum. Information-based teaching is an innovative teaching model that deeply integrates modern information technology with educational and teaching concepts. It aims to optimize the teaching process and improve teaching effects and learning experience through digital tools, network platforms and intelligent systems. Its core lies in building a student-centered personalized learning environment and using information technology to achieve efficient integration and precise delivery of teaching resources.

[0004] In information-based teaching, the role of teachers has changed from traditional knowledge transmitters to learning guides and resource integrators. Through tools such as multimedia courseware, online course platforms, and virtual laboratories, teachers can present abstract knowledge to students in an intuitive and interactive form, breaking through the limitations of time and space and realizing the diversification and dynamicization of teaching content. For example, using virtual reality technology, students can explore historical scenes or scientific experiments in an immersive way to enhance their understanding and memory of knowledge. At the same time, information-based teaching emphasizes data-driven teaching decisions. With the help of learning management systems and intelligent analysis tools, teachers can collect students' learning behavior data in real time, including homework completion, online learning time, and knowledge mastery. Through in-depth analysis of these data, teachers can accurately identify students' learning difficulties, adjust teaching strategies, and implement teaching in accordance with their aptitude. In addition, the intelligent tutoring system can provide personalized learning paths and exercises based on students' learning progress to meet the learning needs of different students.

[0005] In terms of teaching interaction, information-based teaching promotes communication and cooperation between teachers and students and between students through online discussion areas, instant messaging tools and collaborative platforms. Students can ask questions at any time after class, and teachers can provide timely feedback to form an efficient learning interactive ecology. At the same time, network-based collaborative projects allow students to work in teams in a virtual environment to cultivate their communication skills and teamwork spirit. Information-based teaching also focuses on the sharing and openness of resources. Through the online education resource platform, teachers can obtain high-quality teaching resources from around the world, such as open courses, academic papers and multimedia materials, and integrate them into local teaching. This resource sharing model not only enriches the teaching content, but also promotes educational equity, so that students in remote areas can also enjoy high-quality educational resources. In short, information-based teaching has achieved innovation and optimization of teaching models through technology empowerment, provided strong support for educational modernization, and promoted the development of education from traditional models to intelligent and personalized directions.

[0006] However, in the current information-based teaching scenarios, there is insufficient local intelligent support for student modules, and there is no combination of group learning and simulation assistance. At the same time, there is no in-depth consideration of the data feedback and sorting of student learning information, and there is a lack of regulation and control of teaching information, making it impossible to supervise the work of teacher modules and integrate information.

[0007] The present invention proposes a computer information education and teaching system based on artificial intelligence, which uses artificial intelligence to provide auxiliary guidance for teachers' teaching and students' completion of learning tasks. On the one hand, by equipping the student module with a separate teaching information receiving and course inspiration information reporting corresponding artificial intelligence auxiliary processing module, dynamic supervision of students' course completion is realized, while covering the inspiration education of students' learning and the regulation of self-study information and the same course sharing. On the other hand, by establishing an AI-assisted teaching group, the group management of student modules and the intelligent configuration of teaching tasks are realized. At the same time, the present invention not only systematically collects the inspiration information of students in the learning process, but also receives the configuration suggestions of teachers on teaching content by setting a teaching regulation module that complements the teacher module, thereby realizing the three-way feedback update of teaching content. Finally, the present application also uses the intelligent education and teaching central platform to undertake the dual-layer system management function of system overall control and intelligent processing of learning information. Through the secondary processing of the first type of learning information, the system information structured processing and platform management are realized, the intelligence of computer information education and teaching is improved, and the application of information-related technologies such as artificial intelligence in the field of education is effectively promoted. Summary of the invention

[0008] The present invention aims to provide a computer information education and teaching system based on artificial intelligence that is superior to the prior art.

[0009] In order to achieve the above object, the technical solution of the present invention is as follows:

[0010] A computer information education and teaching system based on artificial intelligence, the system comprising:

[0011] AI-assisted teaching groups, each of which includes at least a student module, an uplink intelligent teaching auxiliary module, and a downlink intelligent teaching auxiliary module;

[0012] A student module, which is used to receive and execute the decomposed teaching tasks through the downlink intelligent teaching auxiliary module, collect the first type of learning information of the students, and receive the uplink teaching inspiration information of the students, and send it to the uplink intelligent teaching auxiliary module of the AI-assisted teaching group;

[0013] A downstream intelligent teaching auxiliary module, which receives the teaching tasks and teaching schedules forwarded by the intelligent education and teaching central platform, performs intelligent task decomposition based on the teaching tasks and teaching schedules, and sends the decomposed teaching tasks to the student module;

[0014] An upstream intelligent teaching auxiliary module, which receives the teaching inspiration information and the first type of learning information sent upstream by the student module and sends it to the AI-assisted teaching group;

[0015] The teaching inspiration information is configured as an information data structure, including at least the following fields:

[0016] Course information, representing the course to which the teaching inspiration information is adapted;

[0017] Inspirational content is information text that represents the specific inspirational feedback received by students during the course learning process;

[0018] The AI-assisted teaching group also sends the teaching inspiration information to the teaching regulation module through the intelligent education and teaching central platform in one direction, and sends the first type of learning information to the teacher module through the intelligent education and teaching central platform in one direction;

[0019] An intelligent education and teaching central platform, which is used to manage the computer information education and teaching system, perform information transmission between modules, provide users with a visual user interaction interface, and;

[0020] The intelligent education and teaching central platform also provides an artificial intelligence-based homework correction function, so that the first type of learning information is updated to the second type of learning information before being sent uplink;

[0021] A teacher module, wherein the teacher module sends teaching tasks to the student module through the intelligent education and teaching central platform, and receives the second type of learning information;

[0022] A teaching regulation module, wherein the teaching regulation module receives the teaching inspiration information, determines whether the teaching inspiration information should be shared based on the information contained in the teaching inspiration information, and performs regulation on the corresponding course;

[0023] The regulation of the corresponding course execution at least includes: determining whether the inspiration content contained in the relevant teaching inspiration information should be added to the corresponding course in the teaching task and updating the relevant course note information based on the feedback suggestions of the teacher module, and issuing it together with the subsequent teaching tasks.

[0024] Preferably, the teaching task includes teaching course type information, which is used to represent the course information and type information to be taught;

[0025] The teaching schedule data table includes at least: a semester schedule, which includes at least available teaching time, that is, the time when students can be taught; available teaching teacher time, that is, the time when teachers can teach; and information classroom occupancy information, that is, the available time of the information classroom.

[0026] Preferably, the course information and type information to be taught include at least:

[0027] Course name information, course class information, course notes information; course priority information, the course priority information is used to represent the importance of the course.

[0028] as well as,

[0029] The type information shall at least include: required courses and elective courses.

[0030] Preferably, the course priority information is configured from high to low as priority 5-1, wherein priority 5 is the highest and priority 1 is the lowest, and the configuration is performed by the teaching regulation module during the initialization process of the computer information education and teaching system based on artificial intelligence.

[0031] Preferably, the inspiration content is the specific inspiration feedback received by the student module during the course learning process, specifically including at least:

[0032] Heuristic information text entered by students;

[0033] The word segmentation character dictionary is used for word segmentation in the process of artificial intelligence text recognition performed by the upstream intelligent teaching auxiliary module;

[0034] as well as,

[0035] The sharing flag is set by the student sending the upstream message, indicating whether the information is shared among multiple student modules studying the corresponding course.

[0036] Preferably, the first type of learning information includes:

[0037] Students learn on-site image information;

[0038] Electronic job completion information.

[0039] Preferably, the second type of learning information includes:

[0040] Students learn on-site image information;

[0041] Electronic homework graded by the intelligent education and teaching central platform based on artificial intelligence image recognition;

[0042] The feedback suggestion of the teacher module is to allow joining or not to allow joining.

[0043] At the same time, the present invention also proposes a computer program product, which includes computer instructions, and when the computer instructions are run by a processor, they execute the corresponding functions of the computer information education and teaching system based on artificial intelligence as described above.

[0044] At the same time, the present invention also proposes a computer-readable storage medium, which stores a program executable by a processor, characterized in that the program executable by the processor is used to execute the corresponding functions of the computer information education and teaching system based on artificial intelligence as described above when executed by the processor.

[0045] At the same time, the present invention also proposes a device, including a memory and a processor, and the device is used to execute the corresponding functions of the computer information education and teaching system based on artificial intelligence as described above through the processor.

[0046] The present invention proposes a computer information education and teaching system based on artificial intelligence, which uses artificial intelligence to provide auxiliary guidance for teachers' teaching and students' completion of learning tasks. On the one hand, by equipping the student module with a separate teaching information receiving and course inspiration information reporting corresponding artificial intelligence auxiliary processing module, dynamic supervision of students' course completion is realized, while covering the inspiration education of students' learning and the regulation of self-study information and the same course sharing. On the other hand, by establishing an AI-assisted teaching group, the group management of student modules and the intelligent configuration of teaching tasks are realized. At the same time, the present invention not only systematically collects the inspiration information of students in the learning process, but also receives the configuration suggestions of teachers on teaching content by setting a teaching regulation module that complements the teacher module, thereby realizing the three-way feedback update of teaching content. Finally, the present application also uses the intelligent education and teaching central platform to undertake the dual-layer system management function of system overall control and intelligent processing of learning information. Through the secondary processing of the first type of learning information, the system information structured processing and platform management are realized, the intelligence of computer information education and teaching is improved, and the application of information-related technologies such as artificial intelligence in the field of education is effectively promoted. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a basic example diagram of a computer information education and teaching system based on artificial intelligence shown in the present invention;

[0048] Figure 2 It is another basic example diagram of an AI-assisted teaching group in a computer information education and teaching system based on artificial intelligence shown in the present invention;

[0049] Figure 3 It is an example diagram of the interconnection between the teacher module and the teaching regulation module in the computer information education and teaching system based on artificial intelligence claimed by the present invention;

[0050] Figure 4 It is one of the embodiments of the interconnection between the intelligent education and teaching central platform and the AI-assisted teaching group of the computer information education and teaching system based on artificial intelligence claimed by the present invention;

[0051] Figure 5It is one of the specific embodiments of the interconnection between the intelligent education and teaching central platform, the teacher module and the teaching regulation module of the computer information education and teaching system based on artificial intelligence that is requested to be protected by the present invention. DETAILED DESCRIPTION

[0052] The following describes in detail several embodiments and beneficial effects of the artificial intelligence-based computer information education and teaching system and method claimed in the present invention, so as to facilitate a more detailed review and analysis of the present invention.

[0053] In order to better understand the technical solution of the present invention, the embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0054] It should be clear that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms "a", "said" and "the" used in the embodiments of the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0056] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0057] It should be understood that although the terms first, second, etc. may be used to describe the method and the corresponding device in the embodiments of the present invention, these keywords should not be limited to these terms. These terms are only used to distinguish the keywords from each other. For example, without departing from the scope of the embodiments of the present invention, the first type of learning information, etc. may also be referred to as the second type of learning information, and conversely, the second type of learning information, etc. may also be referred to as the first type of learning information.

[0058] The word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0059] As the instruction manual Figure 1 -Attached Figure 5 As shown, it is an example diagram of the interconnection relationship between the modules of the computer information education and teaching system based on artificial intelligence claimed by the present invention. As a superimposable preferred embodiment, preferably, each main node can be interconnected with other main nodes for data and instruction transmission. Of course, as another superimposable preferred embodiment, some nodes may not have the interconnection with some other nodes or may be allowed to close or open the interconnection with other nodes.

[0060] Instructions attached Figure 1 The overall flow diagram of the computer information education and teaching system based on artificial intelligence that the present invention claims for protection is shown.

[0061] The system comprises:

[0062] AI-assisted teaching groups, each of which includes at least a student module, an uplink intelligent teaching auxiliary module, and a downlink intelligent teaching auxiliary module;

[0063] Instructions attached Figure 2 -Attached Figure 3 An example diagram showing the interconnection between the AI-assisted teaching group, the teacher module and the teaching regulation module of the artificial intelligence-based computer information education and teaching system claimed for protection by the present invention.

[0064] A student module, which is used to receive and execute the decomposed teaching tasks through the downlink intelligent teaching auxiliary module, collect the first type of learning information of the students, and receive the uplink teaching inspiration information of the students, and send it to the uplink intelligent teaching auxiliary module of the AI-assisted teaching group;

[0065] A downstream intelligent teaching auxiliary module, which receives the teaching tasks and teaching schedules forwarded by the intelligent education and teaching central platform, performs intelligent task decomposition based on the teaching tasks and teaching schedules, and sends the decomposed teaching tasks to the student module;

[0066] An upstream intelligent teaching auxiliary module, which receives the teaching inspiration information and the first type of learning information sent upstream by the student module and sends it to the AI-assisted teaching group;

[0067] The teaching inspiration information is configured as an information data structure, including at least the following fields:

[0068] Course information, representing the course to which the teaching inspiration information is adapted;

[0069] Inspirational content is information text that represents the specific inspirational feedback received by students during the course learning process;

[0070] The AI-assisted teaching group also sends the teaching inspiration information to the teaching regulation module through the intelligent education and teaching central platform in one direction, and sends the first type of learning information to the teacher module through the intelligent education and teaching central platform in one direction;

[0071] Instructions attached Figure 4 One of the embodiments of the interconnection between the intelligent education and teaching central platform of the computer information education and teaching system based on artificial intelligence and the AI-assisted teaching group claimed in the present invention is demonstrated.

[0072] An intelligent education and teaching central platform, which is used to manage the computer information education and teaching system, perform information transmission between modules, provide users with a visual user interaction interface, and;

[0073] The intelligent education and teaching central platform also provides an artificial intelligence-based homework correction function, so that the first type of learning information is updated to the second type of learning information before being sent uplink;

[0074] A teacher module, wherein the teacher module sends teaching tasks to the student module through the intelligent education and teaching central platform, and receives the second type of learning information;

[0075] A teaching regulation module, wherein the teaching regulation module receives the teaching inspiration information, determines whether the teaching inspiration information should be shared based on the information contained in the teaching inspiration information, and performs regulation on the corresponding course;

[0076] The regulation of the corresponding course execution at least includes: determining whether the inspiration content contained in the relevant teaching inspiration information should be added to the corresponding course in the teaching task and updating the relevant course note information based on the feedback suggestions of the teacher module, and issuing it together with the subsequent teaching tasks.

[0077] As a superimposable preferred embodiment, the teaching task includes teaching course type information, which is used to represent the course information and type information to be taught;

[0078] The teaching schedule data table includes at least: a semester schedule, which includes at least available teaching time, that is, the time when students can be taught; available teaching teacher time, that is, the time when teachers can teach; and information classroom occupancy information, that is, the available time of the information classroom.

[0079] Instructions attached Figure 5 The present invention shows one of the specific embodiments of the interconnection between the intelligent education and teaching central platform, the teacher module and the teaching regulation module of the computer information education and teaching system based on artificial intelligence for which protection is requested by the present invention.

[0080] As a superimposable preferred embodiment, the downlink intelligent teaching auxiliary module receives the teaching tasks and teaching schedule forwarded by the intelligent education and teaching central platform, performs intelligent task decomposition based on the teaching tasks and teaching schedule data table, and sends the decomposed teaching tasks to the student module, which at least includes:

[0081] The downstream intelligent teaching assistance module is based on the teaching course type information of the teaching task, and matches the class time and informationized classroom of each course in the teaching schedule data table based on the available teaching time, available teaching teacher time, and informationized classroom occupancy information, from high to low priority, according to the course information and type information to be taught, and generates the decomposed teaching tasks and sends them to the student module.

[0082] As a superimposable preferred embodiment, the course information and type information to be taught at least include:

[0083] Course name information, course class information, course notes information; course priority information, the course priority information is used to represent the importance of the course.

[0084] as well as,

[0085] The type information shall at least include: required courses and elective courses.

[0086] As a superimposable preferred embodiment, the course priority information is configured from high to low as priority 5-1, where priority 5 is the highest and priority 1 is the lowest, and the configuration is performed by the teaching regulation module during the initialization process of the artificial intelligence-based computer information education and teaching system.

[0087] As a superimposable preferred embodiment, the inspiration content is the specific inspiration feedback received by the student module during the course learning process, specifically including at least:

[0088] Heuristic information text entered by students;

[0089] The word segmentation character dictionary is used for word segmentation in the process of artificial intelligence text recognition performed by the upstream intelligent teaching auxiliary module;

[0090] as well as,

[0091] The sharing flag is set by the student sending the upstream message, indicating whether the information is shared among multiple student modules studying the corresponding course.

[0092] As a superimposable preferred embodiment, the first type of learning information includes:

[0093] Students learn on-site image information;

[0094] Electronic job completion information.

[0095] As a superimposable preferred embodiment, the second type of learning information includes:

[0096] Students learn on-site image information;

[0097] Electronic homework graded by the intelligent education and teaching central platform based on artificial intelligence image recognition;

[0098] The feedback suggestion of the teacher module is to allow joining or not to allow joining.

[0099] At the same time, the present invention also proposes a computer program product, which includes computer instructions, and when the computer instructions are run by a processor, they execute the corresponding functions of the computer information education and teaching system based on artificial intelligence as described above.

[0100] At the same time, the present invention also proposes a computer-readable storage medium, which stores a program executable by a processor, characterized in that the program executable by the processor is used to execute the corresponding functions of the computer information education and teaching system based on artificial intelligence as described above when executed by the processor.

[0101] At the same time, the present invention also proposes a device, including a memory and a processor, and the device is used to execute the corresponding functions of the computer information education and teaching system based on artificial intelligence as described above through the processor.

[0102] The present invention proposes a computer information education and teaching system based on artificial intelligence, which uses artificial intelligence to provide auxiliary guidance for teachers' teaching and students' completion of learning tasks. On the one hand, by equipping the student module with a separate teaching information receiving and course inspiration information reporting corresponding artificial intelligence auxiliary processing module, dynamic supervision of students' course completion is realized, while covering the inspiration education of students' learning and the regulation of self-study information and the same course sharing. On the other hand, by establishing an AI-assisted teaching group, the group management of student modules and the intelligent configuration of teaching tasks are realized. At the same time, the present invention not only systematically collects the inspiration information of students in the learning process, but also receives the configuration suggestions of teachers on teaching content by setting a teaching regulation module that complements the teacher module, thereby realizing the three-way feedback update of teaching content. Finally, the present application also uses the intelligent education and teaching central platform to undertake the dual-layer system management function of system overall control and intelligent processing of learning information. Through the secondary processing of the first type of learning information, the system information structured processing and platform management are realized, the intelligence of computer information education and teaching is improved, and the application of information-related technologies such as artificial intelligence in the field of education is effectively promoted.

[0103] In all the above embodiments, in order to realize some special data transmission and read / write function requirements, the above method operation process and its corresponding device can add devices, modules, components, hardware, pin connections or memory, processor differences to expand functions.

[0104] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the methods, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0105] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the method steps is only a logical or functional division. There may be other division methods in actual implementation. For example, 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.

[0106] The units described as the various steps of the method and the separated components of the device may or may not be logically or physically separated, and may not be physical units, that is, they may be located in one place, or they may be 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.

[0107] In addition, the method steps and their implementations and functional units in the various embodiments of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0108] The above method and device can be implemented as an integrated unit in the form of a software functional unit, which can be stored in a computer-readable storage medium. The above software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (Processor) to perform some steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), NVRAM, disk or optical disk and other media that can store program codes.

[0109] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

[0110] It should be noted that the above embodiments are only used to more clearly explain and illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these 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 invention.

Claims

1. A computer information education and teaching system based on artificial intelligence, the system comprising: AI-assisted teaching groups, each of which includes at least a student module, an upstream intelligent teaching auxiliary module, and a downstream intelligent teaching auxiliary module, for performing intelligent-assisted teaching; an intelligent education and teaching central platform, wherein the intelligent education and teaching central platform also provides a correction function, so as to update the first type of learning information to the second type of learning information before sending it upstream; As well as, a teacher module and a teaching regulation module for providing two-way feedback with the teacher module.

2. The computer information education and teaching system based on artificial intelligence as claimed in claim 1, wherein: The student module is used to receive and execute the decomposed teaching tasks through the downlink intelligent teaching auxiliary module, collect the first type of learning information of the students, and receive the uplink teaching inspiration information of the students, and send it to the uplink intelligent teaching auxiliary module of the AI-assisted teaching group; The downlink intelligent teaching auxiliary module receives the teaching tasks and teaching schedule forwarded by the intelligent education and teaching central platform, performs intelligent task decomposition based on the teaching tasks and teaching schedule, and sends the decomposed teaching tasks to the student module.

3. The computer information education and teaching system based on artificial intelligence as claimed in claim 2, wherein: The uplink intelligent teaching auxiliary module receives the teaching inspiration information and the first type of learning information sent uplink by the student module, and sends it to the AI-assisted teaching group; The teaching inspiration information is configured as an information data structure, including at least the following fields: Course information, representing the course to which the teaching inspiration information is adapted; Inspirational content is information text that represents the specific inspirational feedback received by students during the course learning process; The AI-assisted teaching group also sends the teaching inspiration information to the teaching regulation module through the intelligent education and teaching central platform in one direction, and sends the first type of learning information to the teacher module through the intelligent education and teaching central platform in one direction; The intelligent education and teaching central platform is used to manage the computer information education and teaching system, and to perform information transmission between modules, providing users with a visual user interaction interface.

4. The computer information education and teaching system based on artificial intelligence as claimed in claim 3, wherein: The teacher module sends teaching tasks to the student module through the intelligent education and teaching central platform, and receives the second type of learning information; The teaching regulation module receives the teaching inspiration information, determines whether the teaching inspiration information should be shared based on the information contained in the teaching inspiration information, and implements regulation on the corresponding course; The regulation of the corresponding course execution at least includes: determining whether the inspiration content contained in the relevant teaching inspiration information should be added to the corresponding course in the teaching task and updating the relevant course note information based on the feedback suggestions of the teacher module, and issuing it together with the subsequent teaching tasks.

5. The computer information education and teaching system based on artificial intelligence as claimed in claim 4, characterized in that: The teaching task includes teaching course type information, which is used to represent the course information and type information to be taught; The teaching schedule data table includes at least: a semester schedule, which includes at least available teaching time, that is, the time when students can be taught; available teaching teacher time, that is, the time when teachers can teach; and information classroom occupancy information, that is, the available time of the information classroom.

6. The computer information education and teaching system based on artificial intelligence as claimed in claim 4, wherein: The course information and type information required for teaching at least include: Course name information, course time information, course notes information; course priority information, the course priority information is used to represent the importance of the course; as well as, The type information shall at least include: required courses, optional courses; The course priority information is configured from high to low as priority 5-1, where priority 5 is the highest and priority 1 is the lowest, and the configuration is performed by the teaching regulation module during the initialization process of the computer information education and teaching system based on artificial intelligence.

7. The computer information education and teaching system based on artificial intelligence as claimed in claim 5, wherein: The inspiration content is the specific inspiration feedback received by the student module during the course learning process, which includes at least: Heuristic information text entered by students; The word segmentation character dictionary is used for word segmentation in the process of artificial intelligence text recognition performed by the upstream intelligent teaching auxiliary module; as well as, The sharing flag is set by the student sending the information upstream, indicating whether the information is shared among multiple student modules studying the corresponding course; The first type of learning information includes: Students learn on-site image information; Electronic job completion information; The second type of learning information includes: Students learn on-site image information; Electronic homework graded by the intelligent education and teaching central platform based on artificial intelligence image recognition; The feedback suggestion of the teacher module is to allow joining or not to allow joining.

8. A computer program product, comprising computer instructions, which, when executed by a processor, execute the corresponding functions of the computer information education and teaching system based on artificial intelligence as described in any one of claims 1 to 7.

9. A computer-readable storage medium storing a program executable by a processor, characterized in that: The processor-executable program is used to execute the corresponding functions of the artificial intelligence-based computer information education and teaching system as described in any one of claims 1 to 7 when executed by the processor.

10. A device comprising a memory and a processor, wherein the device is used to execute the corresponding functions of the artificial intelligence-based computer information education and teaching system as described in any one of claims 1 to 7 through the processor.

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