Artificial intelligence education interaction system

Abstract

The invention relates to the technical field of college education, in particular to an artificial intelligence education interaction system which comprises a main control processing unit, a network communication module, a real-time data analysis module, a remote server terminal, a multi-mode interaction interface, a software framework module and a power module. The learning pertinence and effectiveness are improved through AI intelligent recommendation and personalized learning paths, education is more immersive and interesting through interactive technologies such as virtual reality and the like, students are helped to comprehensively master knowledge based on a dynamic evaluation and feedback mechanism of artificial intelligence, and the learning efficiency is improved through big data analysis. And a precise learning trend and strategy optimization scheme is provided.

Description

Technical Field

[0001] The present invention relates to the field of university education technology, and in particular to an artificial intelligence educational interactive system. Background Art

[0002] Traditional education generally has the following problems: 1. Single teaching method: mainly based on classroom lectures and document learning, lacking interactivity and immersive experience.

[0003] 2. Lack of personalization: It is difficult to provide personalized education based on the cognitive levels, interests and needs of different students.

[0004] 3. Low resource utilization: Educational resources are scattered, lacking a unified intelligent management and efficient recommendation mechanism.

[0005] 4. Difficulty in evaluating learning outcomes: Lack of effective means of tracking and analyzing learning outcomes makes it impossible to dynamically adjust the learning process.

[0006] With the development of artificial intelligence (AI), technologies such as deep learning, natural language processing, and intelligent recommendation systems are increasingly being applied in education. However, there is still a lack of systematic solutions to effectively apply AI to higher education and achieve highly interactive and personalized learning. Therefore, an AI-based interactive educational system is needed to address this issue. Summary of the Invention

[0007] The purpose of the present invention is to provide an artificial intelligence educational interactive system to solve the problems raised in the above background technology.

[0008] To achieve the above-mentioned object, the present invention provides the following technical solutions: an artificial intelligence educational interactive system, comprising a main control processing unit, a network communication module, a real-time data analysis module, a remote server terminal, a multimodal interactive interface, a software architecture module, and a power supply module; The main control processing unit is connected to the network communication module, the network communication module is connected to the real-time data analysis module, the real-time data analysis module is connected to the remote server terminal, the main control processing unit is connected to the main control processing unit, the main control processing unit is connected to the software architecture module, and the software architecture module is connected to the power supply module.

[0009] As the preferred technical solution of the present invention, the software architecture module is divided into an AI intelligent recommendation module, a virtual classroom module and a natural language processing interactive module. The AI intelligent recommendation module can analyze user interests, historical learning behaviors and knowledge mastery through deep learning algorithms, and intelligently recommend matching learning content. The virtual classroom module can combine virtual reality technology to provide an immersive educational experience. The natural language processing interactive module can support voice / text input, and can answer users' questions about knowledge in real time, realizing intelligent question-and-answer interaction.

[0010] As the preferred technical solution of the present invention, the software architecture module is divided into a speech recognition and synthesis module, a learning effect evaluation module, a personalized learning path planning module and a big data analysis module. Among them, the speech recognition and synthesis module can support voice interaction and improve user operation convenience. The learning effect evaluation module dynamically tracks learning progress, analyzes learning effects, and provides improvement suggestions through machine learning algorithms. The personalized learning path planning module can dynamically adjust the learning content and sequence according to the user's learning habits and evaluation results to achieve differentiated education. The big data analysis module can provide learning data reports to university managers based on big data analysis for optimizing education strategies.

[0011] As a preferred technical solution of the present invention, the multimodal interactive interface is divided into a touch screen display, a voice recognition microphone, a VR head display and an interactive feedback device.

[0012] As a preferred technical solution of the present invention, the main control processing unit is connected to the biometric module, and the biometric module is connected to the account login module, wherein the main control processing unit is an integrated high-performance computing chip that supports real-time reasoning and analysis of deep learning models, and the biometric module can be used for user identity authentication, and verification is performed through face recognition and fingerprint recognition to improve the personalized learning experience.

[0013] As a preferred technical solution of the present invention, the main control processing unit is connected to the supervision optimization module, wherein the supervision optimization module can provide rich learning resources and provide personalized learning paths through intelligent analysis. At the same time, it can also assist in service supervision to ensure the quality and effectiveness of various services, and evaluate the use effect of the system through data analysis, and continuously optimize based on feedback.

[0014] As a preferred technical solution of the present invention, the real-time data analysis module is connected to the visualization technology module, wherein the visualization technology module can convert data into a chart form to facilitate understanding and decision-making.

[0015] As the preferred technical solution of the present invention, the remote server terminal is respectively connected to the data storage module and the storage encryption module, wherein the data storage module is used to store learning resources, user data and learning records, and the storage encryption module can encrypt the stored data to prevent leakage.

[0016] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention is an artificial intelligence educational interactive system. The present invention provides exclusive learning plans based on students' personalized needs through a deep learning model, improves learning efficiency and interest, adopts integrated voice, touch and virtual reality technology to provide an immersive interactive experience, enhances the fun and participation of learning, analyzes learning effects in real time through intelligent algorithms and dynamically optimizes learning resource push, improves learning outcomes, and provides global and dynamic learning trend analysis and strategy support for colleges and universities.

[0017] (2) The present invention is an artificial intelligence educational interactive system. The present invention improves the pertinence and effectiveness of learning through AI intelligent recommendations and personalized learning paths, and makes education more immersive and interesting through interactive technologies such as virtual reality.

[0018] The present invention is an artificial intelligence educational interactive system. Based on the dynamic evaluation and feedback mechanism of artificial intelligence, the present invention helps students fully master knowledge and provides accurate learning trends and strategy optimization solutions through big data analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 1 is a block diagram of an artificial intelligence educational interactive system according to an embodiment of the present invention; Figure 2 This is a composition diagram of a software architecture module of an artificial intelligence educational interactive system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] The invention is further described below with reference to the accompanying drawings and specific embodiments: Example

[0022] refer to Figure 1 Example 1 is described, comprising a main control processing unit, a network communication module, a real-time data analysis module, a remote server terminal, a multimodal interactive interface, a software architecture module and a power supply module; The main control processing unit is connected to the network communication module, which is connected to the real-time data analysis module, which is connected to the remote server terminal. The main control processing unit is connected to the main control processing unit, which is connected to the software architecture module, which is connected to the power module. The multimodal interactive interface is divided into a touch screen display, a voice recognition microphone, a VR headset, and an interactive feedback device. The main control processing unit is connected to the biometric module, which is connected to the account login module. The main control processing unit is an integrated high-performance computing chip that supports real-time reasoning and analysis of deep learning models. The biometric module can be used for user authentication, and verification through facial recognition and fingerprint recognition improves the personalized learning experience. The main control processing unit is connected to the supervision and optimization module, which can provide rich learning resources and provide personalized learning paths through intelligent analysis. It can also assist in service supervision to ensure the quality and effectiveness of various services, evaluate the system's usage effectiveness through data analysis, and continuously optimize based on feedback. The real-time data analysis module is connected to the visualization technology module. The remote server terminal is connected to the data storage module and the storage encryption module respectively. In this embodiment, the visualization technology module can convert data into a graphical form to facilitate understanding and decision-making. The data storage module is used to store learning resources, user data and learning records. The storage encryption module can encrypt the stored data to prevent leakage. Example

[0023] refer to Figure 1 Example 2 is described. This embodiment further illustrates Example 1, including a software architecture module divided into an AI intelligent recommendation module, a virtual classroom module, and a natural language processing interaction module. The AI intelligent recommendation module can analyze user interests, historical learning behaviors, and knowledge mastery through deep learning algorithms, and intelligently recommend matching learning content. The virtual classroom module can combine virtual reality technology to provide an immersive educational experience. The natural language processing interaction module can support voice / text input, and can answer users' questions about knowledge in real time, realizing intelligent question-and-answer interaction. The software architecture module is divided into a speech recognition and synthesis module, a learning effect evaluation module, a personalized learning path planning module, and a big data analysis module. In this embodiment, the voice recognition and synthesis module can support voice interaction and improve user operation convenience. The learning effect evaluation module dynamically tracks learning progress, analyzes learning effects, and provides improvement suggestions through machine learning algorithms. The personalized learning path planning module can dynamically adjust the learning content and sequence according to user learning habits and evaluation results to achieve differentiated education. The big data analysis module can provide learning data reports to university administrators based on big data analysis for optimizing education strategies.

[0024] In the description of the present invention, it should be noted that the terms "top", "bottom", "one side", "the other side", "front", "back", "middle", "inside", "top", "bottom", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are only for the convenience of describing the present invention and simplifying the description. They do not indicate or imply that the devices or components referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore should not be understood as limiting the present invention. The terms "first", "second", and "third" are used for descriptive purposes only and should not be understood as indicating or implying relative importance. In addition, unless otherwise expressly specified or limited, the terms "mounted", "connected", and "connected" should be understood in a broad sense, for example, they can be fixedly connected, detachably connected, or integrally connected; they can be mechanically connected or electrically connected; they can be directly connected or indirectly connected through an intermediate medium, or they can be internal communication between two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0025] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. An artificial intelligence educational interactive system, characterized in that: It includes a main control processing unit, a network communication module, a real-time data analysis module, a remote server terminal, a multimodal interactive interface, a software architecture module and a power supply module; The main control processing unit is connected to the network communication module, the network communication module is connected to the real-time data analysis module, the real-time data analysis module is connected to the remote server terminal, the main control processing unit is connected to the main control processing unit, the main control processing unit is connected to the software architecture module, and the software architecture module is connected to the power supply module.

2. The artificial intelligence educational interactive system according to claim 1, characterized in that: The software architecture modules are divided into AI intelligent recommendation module, virtual classroom module and natural language processing interaction module. The AI intelligent recommendation module can analyze user interests, historical learning behaviors and knowledge mastery through deep learning algorithms, and intelligently recommend matching learning content. The virtual classroom module can combine virtual reality technology to provide an immersive educational experience. The natural language processing interaction module can support voice / text input, and can answer users' questions about knowledge in real time, realizing intelligent question-and-answer interaction.

3. The artificial intelligence educational interactive system according to claim 1, characterized in that: The software architecture modules are divided into a speech recognition and synthesis module, a learning effect evaluation module, a personalized learning path planning module and a big data analysis module. The speech recognition and synthesis module can support voice interaction and improve user operation convenience. The learning effect evaluation module dynamically tracks learning progress, analyzes learning effects and provides improvement suggestions through machine learning algorithms. The personalized learning path planning module can dynamically adjust learning content and sequence according to user learning habits and evaluation results to achieve differentiated education. The big data analysis module can provide learning data reports to university managers based on big data analysis for optimizing education strategies.

4. The artificial intelligence educational interactive system according to claim 1, characterized in that: The multimodal interactive interface is divided into a touch screen display, a voice recognition microphone, a VR head display and an interactive feedback device.

5. The artificial intelligence educational interactive system according to claim 1, characterized in that: The main control processing unit is connected to the biometric module, and the biometric module is connected to the account login module. The main control processing unit is an integrated high-performance computing chip that supports real-time reasoning and analysis of deep learning models. The biometric module can be used for user identity authentication, and verification is performed through face recognition and fingerprint recognition to improve the personalized learning experience.

6. The artificial intelligence educational interactive system according to claim 1, characterized in that: The main control processing unit is connected to the supervision and optimization module, which can provide rich learning resources and personalized learning paths through intelligent analysis. It can also assist in service supervision to ensure the quality and effectiveness of various services, and evaluate the system's usage effect through data analysis, and continuously optimize based on feedback.

7. The artificial intelligence educational interactive system according to claim 1, characterized in that: The real-time data analysis module is connected to the visualization technology module, wherein the visualization technology module can convert data into a chart form to facilitate understanding and decision-making.

8. The artificial intelligence educational interactive system according to claim 1, characterized in that: The remote server terminal is connected to a data storage module and a storage encryption module respectively, wherein the data storage module is used to store learning resources, user data and learning records, and the storage encryption module can encrypt the stored data to prevent leakage.

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