An artificial intelligence-based computer information education and teaching system

Abstract

This invention proposes an artificial intelligence-based computer information education and teaching system that uses AI to provide auxiliary guidance for teachers' teaching and students' completion of learning tasks. On one hand, by equipping the student module with separate AI-assisted processing modules for receiving teaching information and reporting course-inspired information, dynamic monitoring of students' course completion is achieved, while also covering inspirational education for students' learning and the regulation and sharing of self-study information within the same course. On the other hand, by establishing AI-assisted teaching groups, the system achieves group management of the student module and intelligent configuration of teaching tasks. Simultaneously, by setting up a teaching regulation module that complements the teacher module, this invention systematically collects inspirational information from students during the learning process and receives teachers' suggestions for configuring teaching content, thereby achieving a three-way feedback update of the teaching content. Finally, this application also utilizes an intelligent education and teaching central platform to undertake the dual-layer system management functions of overall system control and intelligent processing of learning information. Through secondary processing of the first type of learning information, the system achieves structured information processing and platform-based management, enhancing the intelligence level of computer information education and teaching, and effectively promoting the application of AI and other information technology-related technologies in the education field.

Description

Technical Field

[0001] This invention is applied to computer-based information teaching scenarios and belongs to the new generation of information technology. In particular, it relates to a computer information education and teaching system based on artificial intelligence. Background Technology

[0002] With the application of large-scale models and artificial intelligence technologies in daily life, intelligent data processing in scenarios such as venue exhibitions, electronic ticketing, travel cloud map analysis, and information-based teaching is becoming increasingly mature. Artificial intelligence (AI) is a cutting-edge technology system that simulates human intelligent behavior and thinking patterns. It aims to endow machines with the ability to learn autonomously, reason, make decisions, and solve problems through interdisciplinary research in computer science, mathematical modeling, and neuroscience. Its core architecture is based on a complex algorithm framework. Deep learning technology, by constructing multi-layered neural networks, simulates the connection and information transmission mechanisms of neurons in the human brain, enabling automatic extraction of data features and pattern recognition. For example, in the field of image recognition, convolutional neural networks (CNNs), through learning from massive amounts of image data, can accurately identify object contours and texture features, achieving high-precision image classification and object detection. Furthermore, AI relies on reinforcement learning technology, enabling machines to optimize their 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, through semantic analysis and contextual understanding, enable smooth human-machine interaction and are widely used in fields such as intelligent customer service and language translation. Artificial intelligence's efficient parallel computing and data processing capabilities enable it to demonstrate enormous application potential in complex scenarios such as medical diagnosis, financial risk prediction, and autonomous driving, driving various industries toward intelligence and efficiency and becoming an important driving force for modern technology.

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

[0004] In information-based teaching, the teacher's role shifts from traditional knowledge transmitter to learning facilitator and resource integrator. Through multimedia courseware, online course platforms, and virtual laboratories, teachers can present abstract knowledge to students in an intuitive and interactive way, breaking through the limitations of time and space and enabling diversified and dynamic teaching content. For example, using virtual reality technology, students can explore historical scenes or scientific experiments in an immersive way, enhancing their understanding and retention of knowledge. Simultaneously, information-based teaching emphasizes data-driven instructional decisions. With the help of learning management systems and intelligent analytics tools, teachers can collect real-time data on students' learning behavior, including homework completion, online learning time, and mastery of knowledge points. Through in-depth analysis of this data, teachers can accurately identify students' learning difficulties, adjust teaching strategies, and achieve individualized instruction. Furthermore, intelligent tutoring systems can provide personalized learning paths and practice questions based on students' learning progress, meeting the diverse learning needs of different students.

[0005] In terms of interactive teaching, information-based teaching promotes communication and collaboration between teachers and students, as well as among students themselves, through online discussion forums, instant messaging tools, and collaborative platforms. Students can ask questions at any time after class, and teachers can provide timely feedback, forming an efficient learning and interactive ecosystem. Simultaneously, network-based collaborative projects allow students to work in teams in a virtual environment, cultivating their communication skills and teamwork spirit. Information-based teaching also emphasizes resource sharing and openness. Through online educational resource platforms, teachers can access high-quality teaching resources globally, such as open courses, academic papers, and multimedia materials, and integrate them into their local teaching. This resource-sharing model not only enriches teaching content but also promotes educational equity, enabling students in remote areas to enjoy high-quality educational resources. In conclusion, information-based teaching, through technological empowerment, achieves innovation and optimization of teaching models, provides strong support for the modernization of education, and promotes the development of education from traditional models towards intelligent and personalized approaches.

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

[0007] This invention proposes an artificial intelligence-based computer information education and teaching system that uses AI to provide auxiliary guidance for teachers' teaching and students' completion of learning tasks. On one hand, by equipping the student module with separate AI-assisted processing modules for receiving teaching information and reporting course-inspired information, dynamic monitoring of students' course completion is achieved, while also covering inspirational education for students' learning and the regulation and sharing of self-study information within the same course. On the other hand, by establishing AI-assisted teaching groups, the system achieves group management of the student module and intelligent configuration of teaching tasks. Simultaneously, by setting up a teaching regulation module that complements the teacher module, this invention systematically collects inspirational information from students during the learning process and receives teachers' suggestions for configuring teaching content, thereby achieving a three-way feedback update of the teaching content. Finally, this application also utilizes an intelligent education and teaching central platform to undertake the dual-layer system management functions of overall system control and intelligent processing of learning information. Through secondary processing of the first type of learning information, the system achieves structured information processing and platform-based management, enhancing the intelligence level of computer information education and teaching, and effectively promoting the application of AI and other information technology-related technologies in the education field. Summary of the Invention

[0008] The present invention aims to provide an artificial intelligence-based computer information education and teaching system that is superior to existing technologies.

[0009] To achieve the above objectives, the technical solution of the present invention is as follows: A computer information education and teaching system based on artificial intelligence, the system comprising: Each AI-assisted teaching group includes at least a student module, an uplink intelligent teaching assistance module, and a downlink intelligent teaching assistance module. The student module is used to receive and execute the decomposed teaching tasks through the downlink intelligent teaching assistance module, collect the first type of learning information of students, and receive the uplink teaching inspiration information of students and send it to the uplink intelligent teaching assistance module of the AI-assisted teaching group. The downlink intelligent teaching assistance module receives 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. The uplink intelligent teaching assistance module receives teaching inspiration information and first-type learning information sent uplink by the student module and sends them to the AI-assisted teaching group to which it belongs. The teaching inspiration information is configured as an information data structure, including at least the following fields: Course information represents the courses to which the teaching inspiration information is adapted; The inspirational content is an informational text that represents the specific inspirational feedback that students receive during the course learning process. The AI-assisted teaching group will also send teaching inspiration information unidirectionally to the teaching regulation module through the intelligent education and teaching central platform, and at the same time send the first type of learning information unidirectionally to the teacher module through the intelligent education and teaching central platform. The intelligent education and teaching central platform is used to manage the computer information education and teaching system, perform information transmission between modules, and provide users with a visual user interface. The intelligent education and teaching central platform also provides an artificial intelligence-based homework grading function, thereby updating the first type of learning information to the second type of learning information before it is sent up. 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 teaching inspiration information, determines whether the teaching inspiration information should be shared based on the information contained in the teaching inspiration information, and implements regulations on the corresponding courses. The regulation of the corresponding courses includes at least: based on feedback and suggestions from the teacher module, determining whether the inspirational content contained in the relevant teaching inspiration information should be added to the corresponding course in the teaching task and updating the relevant course notes information, which will be issued together with the subsequent teaching tasks.

[0010] Preferably, the teaching task includes teaching course type information, which is used to characterize the course information and type information that need to be taught; The teaching schedule data table includes at least: a semester schedule, which includes at least available teaching time, i.e., the time when students can be taught; available teaching time, i.e., the time when teachers can teach; and information on the occupancy of the information technology classrooms, i.e., the available time of the information technology classrooms.

[0011] Preferably, the course information and type information to be taught include at least: Course name information, course hours information, course remarks information; course priority information, which is used to indicate the importance of the course.

[0012] as well as, The type information should include at least: required courses and elective courses.

[0013] Preferably, 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 AI-based computer information education and teaching system.

[0014] Preferably, the inspirational content refers to specific inspirational feedback received by students during the course learning process, specifically including at least: The heuristic text entered by the student; The word segmentation character dictionary is used by the upstream intelligent teaching auxiliary module to perform word segmentation during the artificial intelligence text recognition process. as well as, The sharing flag, set by the student sending the message upstream, indicates whether the information should be shared among multiple student modules learning the corresponding course.

[0015] Preferably, the first type of learning information includes: Students learn from on-site image information; Information on the completion of electronic tasks.

[0016] Preferably, the second type of learning information includes: Students learn from on-site image information; Electronic assignments corrected by the intelligent education and teaching central platform based on artificial intelligence image recognition; The feedback suggestion for the teacher module is to allow or disallow joining.

[0017] At the same time, the present invention also proposes a computer program product, which includes computer instructions, which execute the corresponding functions of the artificial intelligence-based computer information education and teaching system described above when the processor is running.

[0018] Meanwhile, the present invention also proposes a computer-readable storage medium storing a processor-executable program, characterized in that the processor-executable program, when executed by a processor, is used to perform the corresponding functions of the artificial intelligence-based computer information education and teaching system described above.

[0019] Meanwhile, the present invention also proposes a device including a memory and a processor, the device being used to perform corresponding functions of the artificial intelligence-based computer information education and teaching system as described above through the processor.

[0020] This invention proposes an artificial intelligence-based computer information education and teaching system that uses AI to provide auxiliary guidance for teachers' teaching and students' completion of learning tasks. On one hand, by equipping the student module with separate AI-assisted processing modules for receiving teaching information and reporting course-inspired information, dynamic monitoring of students' course completion is achieved, while also covering inspirational education for students' learning and the regulation and sharing of self-study information within the same course. On the other hand, by establishing AI-assisted teaching groups, the system achieves group management of the student module and intelligent configuration of teaching tasks. Simultaneously, by setting up a teaching regulation module that complements the teacher module, this invention systematically collects inspirational information from students during the learning process and receives teachers' suggestions for configuring teaching content, thereby achieving a three-way feedback update of the teaching content. Finally, this application also utilizes an intelligent education and teaching central platform to undertake the dual-layer system management functions of overall system control and intelligent processing of learning information. Through secondary processing of the first type of learning information, the system achieves structured information processing and platform-based management, enhancing the intelligence level of computer information education and teaching, and effectively promoting the application of AI and other information technology-related technologies in the education field. Attached Figure Description

[0021] Figure 1 This is a basic example diagram of a computer information education and teaching system based on artificial intelligence, as shown in this invention. Figure 2 This is another basic example diagram of an AI-assisted teaching group in a computer information education and teaching system based on artificial intelligence, as shown in this invention; Figure 3 This is an example diagram illustrating the interconnection between the teacher module and the teaching regulation module in an artificial intelligence-based computer information education and teaching system for which the present invention is claimed. Figure 4 This is one of the embodiments of the interconnection between the intelligent education and teaching central platform and the AI-assisted teaching group in the computer information education and teaching system based on artificial intelligence, which is claimed in this invention; Figure 5 This is one of the specific embodiments of the interconnection between the intelligent education and teaching central platform and the teacher module and teaching regulation module of the computer information education and teaching system based on artificial intelligence that is claimed in this invention. Detailed Implementation

[0022] 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 this invention, in order to facilitate a more detailed examination and breakdown of this invention.

[0023] To better understand the technical solution of the present invention, the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0024] It should be understood that the described embodiments are merely some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0025] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “a,” “the,” and “the” as used in the embodiments of this invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.

[0026] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0027] It should be understood that although terms such as "first," "second," etc., may be used to describe methods and corresponding apparatus in embodiments of the present invention, these keywords should not be limited to these terms. These terms are only used to distinguish keywords from each other. For example, without departing from the scope of embodiments of the present invention, first type of learning information, etc., may also be referred to as second type of learning information, and vice versa.

[0028] Depending on the context, the word "if" as used herein can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrases "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination" or "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0029] As per the instruction manual Figure 1 - Appendix Figure 5 The diagram shown illustrates the interconnection relationships between modules of the AI-based computer information education system claimed in this invention. As a preferred embodiment that can be overlaid, each main node can preferably interconnect with other main nodes for data and instruction transmission. Of course, as another preferred embodiment that can be overlaid, some nodes may not have interconnection with some other nodes, or may be allowed to disable or enable interconnection with other nodes.

[0030] Instruction manual attached Figure 1 The diagram illustrates the overall workflow of the AI-based computer information education and teaching system for which this invention is claimed.

[0031] The system includes: Each AI-assisted teaching group includes at least a student module, an uplink intelligent teaching assistance module, and a downlink intelligent teaching assistance module. Instruction manual attached Figure 2 - Appendix Figure 3 This diagram illustrates an example of 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 in this invention.

[0032] The student module is used to receive and execute the decomposed teaching tasks through the downlink intelligent teaching assistance module, collect the first type of learning information of students, and receive the uplink teaching inspiration information of students and send it to the uplink intelligent teaching assistance module of the AI-assisted teaching group. The downlink intelligent teaching assistance module receives 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. The uplink intelligent teaching assistance module receives teaching inspiration information and first-type learning information sent uplink by the student module and sends them to the AI-assisted teaching group to which it belongs. The teaching inspiration information is configured as an information data structure, including at least the following fields: Course information represents the courses to which the teaching inspiration information is adapted; The inspirational content is an informational text that represents the specific inspirational feedback that students receive during the course learning process. The AI-assisted teaching group will also send teaching inspiration information unidirectionally to the teaching regulation module through the intelligent education and teaching central platform, and at the same time send the first type of learning information unidirectionally to the teacher module through the intelligent education and teaching central platform. Instruction manual attached Figure 4 This invention demonstrates one embodiment of the interconnection between the intelligent education and teaching central platform and the AI-assisted teaching group in the computer information education and teaching system based on artificial intelligence, as claimed in this invention.

[0033] The intelligent education and teaching central platform is used to manage the computer information education and teaching system, perform information transmission between modules, and provide users with a visual user interface. The intelligent education and teaching central platform also provides an artificial intelligence-based homework grading function, thereby updating the first type of learning information to the second type of learning information before it is sent up. 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 teaching inspiration information, determines whether the teaching inspiration information should be shared based on the information contained in the teaching inspiration information, and implements regulations on the corresponding courses. The regulation of the corresponding courses includes at least: based on feedback and suggestions from the teacher module, determining whether the inspirational content contained in the relevant teaching inspiration information should be added to the corresponding course in the teaching task and updating the relevant course notes information, which will be issued together with the subsequent teaching tasks.

[0034] As a preferred embodiment that can be overlaid, the teaching task includes teaching course type information, which is used to characterize the course information and type information that need to be taught; The teaching schedule data table includes at least: a semester schedule, which includes at least available teaching time, i.e., the time when students can be taught; available teaching time, i.e., the time when teachers can teach; and information on the occupancy of the information technology classrooms, i.e., the available time of the information technology classrooms.

[0035] Instruction manual attached Figure 5 This invention demonstrates one specific embodiment of the interconnection between the intelligent education and teaching central platform, the teacher module, and the teaching regulation module of the artificial intelligence-based computer information education and teaching system claimed in this invention.

[0036] As a preferred, superimposed embodiment, the downlink intelligent teaching assistance module receives teaching tasks and schedules forwarded by the intelligent education and teaching central platform, performs intelligent task decomposition based on the teaching task and schedule data table, and sends the decomposed teaching tasks to the student module, including at least: The downstream intelligent teaching assistance module, based on the teaching course type information of the teaching task, and according to the course information and type information that need to be taught, from high to low priority, matches the class time and information technology classroom of each course in the teaching schedule data table based on available teaching time, available teaching teacher time, and information technology classroom occupancy information, and generates the decomposed teaching task and sends it to the student module.

[0037] As a preferred embodiment that can be superimposed, the course information and type information to be taught include at least: Course name information, course hours information, course remarks information; course priority information, which is used to indicate the importance of the course.

[0038] as well as, The type information should include at least: required courses and elective courses.

[0039] As a preferred embodiment that can be superimposed, 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 executed by the teaching regulation module during the initialization process of the computer information education and teaching system based on artificial intelligence.

[0040] As a preferred embodiment that can be superimposed, the inspirational content refers to the specific inspirational feedback received by the student module during the course learning process, specifically including at least: The heuristic text entered by the student; The word segmentation character dictionary is used by the upstream intelligent teaching auxiliary module to perform word segmentation during the artificial intelligence text recognition process. as well as, The sharing flag, set by the student sending the message upstream, indicates whether the information should be shared among multiple student modules learning the corresponding course.

[0041] As a preferred embodiment that allows for overlay, the first type of learning information includes: Students learn from on-site image information; Information on the completion of electronic tasks.

[0042] As a preferred embodiment that allows for overlay, the second type of learning information includes: Students learn from on-site image information; Electronic assignments corrected by the intelligent education and teaching central platform based on artificial intelligence image recognition; The feedback suggestion for the teacher module is to allow or disallow joining.

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

[0044] Meanwhile, the present invention also proposes a computer-readable storage medium storing a processor-executable program, characterized in that the processor-executable program, when executed by a processor, is used to perform the corresponding functions of the artificial intelligence-based computer information education and teaching system described above.

[0045] Meanwhile, the present invention also proposes a device including a memory and a processor, the device being used to perform corresponding functions of the artificial intelligence-based computer information education and teaching system as described above through the processor.

[0046] This invention proposes an artificial intelligence-based computer information education and teaching system that uses AI to provide auxiliary guidance for teachers' teaching and students' completion of learning tasks. On one hand, by equipping the student module with separate AI-assisted processing modules for receiving teaching information and reporting course-inspired information, dynamic monitoring of students' course completion is achieved, while also covering inspirational education for students' learning and the regulation and sharing of self-study information within the same course. On the other hand, by establishing AI-assisted teaching groups, the system achieves group management of the student module and intelligent configuration of teaching tasks. Simultaneously, by setting up a teaching regulation module that complements the teacher module, this invention systematically collects inspirational information from students during the learning process and receives teachers' suggestions for configuring teaching content, thereby achieving a three-way feedback update of the teaching content. Finally, this application also utilizes an intelligent education and teaching central platform to undertake the dual-layer system management functions of overall system control and intelligent processing of learning information. Through secondary processing of the first type of learning information, the system achieves structured information processing and platform-based management, enhancing the intelligence level of computer information education and teaching, and effectively promoting the application of AI and other information technology-related technologies in the education field.

[0047] In all the above embodiments, in order to achieve certain special data transmission and read / write function requirements, the above methods and corresponding devices can be expanded by adding devices, modules, components, hardware, pin connections or memory, processor differences during operation.

[0048] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the methods, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0049] In the embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of method steps is only a logical or functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the couplings or direct couplings or communication connections shown or discussed may be indirect couplings or communication connections through some interfaces, apparatuses, or units, and may be electrical, mechanical, or other forms.

[0050] The units described as steps in the method and separate components of the apparatus may or may not be logically or physically separate, and may not be physical units. That is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0051] Furthermore, the method steps and their implementations, as well as the functional units, in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit described above can be implemented in hardware or in the form of hardware plus software functional units.

[0052] The above-described methods and apparatus can be implemented as integrated units in the form of software functional units, which can be stored in a computer-readable storage medium. These software functional units, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute some steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), NVRAM, magnetic disks, or optical disks.

[0053] 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 within the scope of protection of the present invention.

[0054] It should be noted that the above embodiments are only used to more clearly explain and illustrate the technical solutions of the present invention, and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate 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 uplink intelligent teaching assistance module, and a downlink intelligent teaching assistance module, for performing intelligent assisted teaching; and an intelligent education and teaching central platform, which provides grading functions to update the first type of learning information to the second type of learning information before uplink transmission. In addition, there is a teacher module and a teaching regulation module for two-way feedback with the teacher module; 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 student module is used to receive and execute the decomposed teaching tasks through the downlink intelligent teaching assistance module, collect the first type of learning information of students, and receive the teaching inspiration information sent by the student module uplink, and send it to the uplink intelligent teaching assistance module of the AI-assisted teaching group. The uplink intelligent teaching assistance module receives teaching inspiration information and first-type learning information sent uplink by the student module, and sends them to the AI-assisted teaching group to which it belongs; The teaching inspiration information is configured as an information data structure, including at least the following fields: Course information represents the courses to which the teaching inspiration information is adapted; The inspirational content represents the specific inspirational feedback that students receive during the course learning process, and the inspirational content is informational text. The heuristic content includes at least: the heuristic information text input by the student; and a word segmentation character dictionary, used for word segmentation during the artificial intelligence text recognition process performed by the upstream intelligent teaching assistance module. Additionally, a sharing flag, set by the student sending the message upstream, indicates whether the information should be shared across multiple student modules learning the corresponding course; The first type of learning information includes: on-site image information of students learning and information on the completion of electronic assignments; The second type of learning information includes: image information of students learning on-site; The intelligent education and teaching central platform is based on artificial intelligence image recognition to grade electronic assignments; The AI-assisted teaching group will also send teaching inspiration information unidirectionally to the teaching regulation module through the intelligent education and teaching central platform, and at the same time send the second type of learning information unidirectionally to the teacher module through the intelligent education and teaching central platform. The downlink intelligent teaching assistance module receives 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. The teaching regulation module receives teaching inspiration information, determines whether the teaching inspiration information should be shared based on the information contained in the teaching inspiration information, and implements regulations on the corresponding courses. The regulation of the corresponding courses includes at least: based on feedback and suggestions from the teacher module, determining whether the inspirational content contained in the relevant teaching inspiration information should be added to the corresponding course in the teaching task and updating the relevant course notes information, which will be issued together with the subsequent teaching tasks; The feedback suggestion for the teacher module is to allow or disallow joining.

2. The computer information education and teaching system based on artificial intelligence as described in claim 1, wherein: The intelligent education and teaching central platform is used to manage the computer information education and teaching system, perform information transmission between modules, and provide users with a visual user interface.

3. The computer information education and teaching system based on artificial intelligence as described in claim 2, characterized in that: The teaching task includes teaching course type information, which is used to characterize the course information and type information that needs to be taught; The teaching schedule data table includes a semester schedule, available teaching time, and information on the occupancy of computer classrooms; the semester schedule includes at least available teaching time, i.e., the time when students can be taught. Available teaching time refers to the time that teachers can teach; information on the occupancy of the information technology classroom refers to the available time of the information technology classroom.

4. The computer information education and teaching system based on artificial intelligence as described in claim 3, wherein, The course information to be taught includes at least the following: Course name information, course hours information, course notes information, and course priority information; as well as, The type information includes at least: required courses and elective courses; The course priority information is used to characterize the importance of a course; The course priority information is configured from high to low as priority 5-1, with priority 5 being the highest and priority 1 being the lowest, and the configuration is executed by the teaching regulation module during the initialization process of the AI-based computer information education and teaching system.

5. A computer program product comprising computer instructions, wherein the computer instructions, when executed by a processor, perform corresponding functions of the artificial intelligence-based computer information education and teaching system as described in any one of claims 1-4.

6. A computer-readable storage medium storing a processor-executable program, characterized in that, The processor-executable program, when executed by the processor, is used to perform the corresponding functions of the artificial intelligence-based computer information education and teaching system as described in any one of claims 1-4.

7. An apparatus comprising a memory and a processor, the apparatus being configured to perform, via the processor, a corresponding function of the artificial intelligence-based computer information education and teaching system as described in any one of claims 1-4.

Images