Big data and artificial intelligence teaching training platform based on computer

Abstract

The invention discloses a big data and artificial intelligence teaching practical training platform based on a computer, and relates to the field of practical training teaching, and the platform comprises a teaching unit which is used for teaching students; a teaching interaction unit which is connected with the teaching unit, can provide an experiment scene for students through the teaching interaction unit, and is used for consolidating the learning content of the teaching unit; the data processing unit is connected with the teaching interaction unit and is used for recording the practical training data of the students and analyzing the recorded data; according to the big data and artificial intelligence teaching training platform based on the computer, learning tasks completed by students can be evaluated, the knowledge mastering and applying degree of the students can be known, and meanwhile, according to the performance, including the cooperation ability, the contribution degree, the communication skill and the like, of the students in group cooperation, the knowledge mastering and applying degree of the students can be known. And evaluation and subsequent learning progress are given.

Description

Technical Field

[0001] This invention relates to practical training technology, specifically to a computer-based big data and artificial intelligence teaching and training platform. Background Technology

[0002] Currently, artificial intelligence (AI) is a new technological science that studies and develops methods to simulate, extend, and expand human intelligence. AI is a branch of computer science that attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can react in a way similar to human intelligence. Research in this field includes robotics, speech recognition, image recognition, natural language processing, and expert systems. With the development of social technology, AI education is being widely used.

[0003] Existing big data and artificial intelligence teaching and training platforms are inconvenient to adjust the display components of AI teaching interactive devices, making them unsuitable for most students' learning habits. Furthermore, students cannot evaluate their learning progress after interaction, preventing them from promptly identifying their shortcomings. Therefore, a computer-based big data and artificial intelligence teaching and training platform was developed. Summary of the Invention

[0004] The purpose of this invention is to provide a computer-based big data and artificial intelligence teaching and training platform to address the aforementioned shortcomings in the existing technology.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a computer-based big data and artificial intelligence teaching and training platform, comprising teaching units, through which students are taught;

[0006] The interactive teaching unit is connected to the teaching unit and can provide students with experimental scenarios to reinforce the content learned in the teaching unit.

[0007] A data processing unit, connected to the teaching interaction unit, is used to record student training data and analyze the recorded data.

[0008] The data evaluation unit, which is connected to the data processing unit, evaluates students' knowledge acquisition through tests or quizzes.

[0009] As a further optimization of the present invention, the teaching interaction unit can help students understand the teaching content through questioning or discussion, while promoting students' thinking.

[0010] As a further optimization of the present invention, the data processing unit receives various data of student interaction within the teaching interaction unit and marks the prominent parts of the student's data.

[0011] As a further optimization of the present invention, the data evaluation unit provides timely feedback and suggestions based on the data marked by the data processing unit, allowing students to understand their learning situation and providing opportunities for improvement.

[0012] As a further optimization of the present invention, it also includes a display screen, one end of which is connected to an adjustment component. The adjustment component includes a substrate, an adjustment rod is rotatably mounted on the upper end of the substrate, and a rotating block is rotatably mounted on the end of the adjustment rod. A support rod is provided on the upper end of the rotating block.

[0013] As a further optimization of the present invention, a snap-fit ​​plate is rotatably mounted on the upper end of the support rod, a column is provided on the upper end of the snap-fit ​​plate, and a fixing block is provided on the outer surface of the column.

[0014] As a further optimization of the present invention, a limiting plate is provided on one side of the fixing block, and a telescopic member is rotatably installed on the end of the limiting plate away from the fixing block.

[0015] As a further optimization of the present invention, a movable plate is rotatably mounted at the middle position of one side of the limiting plate, and the end of the movable plate away from the limiting plate is connected to the output end of the telescopic member.

[0016] Compared with existing technologies, the present invention provides a computer-based big data and artificial intelligence teaching and training platform that can assess students' learning tasks to understand their level of knowledge mastery and application. At the same time, it can evaluate students' performance in group cooperation, including their cooperation ability, contribution and communication skills, and provide evaluation and subsequent learning progress.

[0017] When students adjust the angle of the adjustment lever, they can also adjust the height of the entire display screen to suit students of different heights, thus avoiding eye damage caused by prolonged use due to differences in the angle and height of the display screen. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0019] Figure 1This is a schematic diagram of the overall process provided for an embodiment of the present invention;

[0020] Figure 2 This is a first schematic diagram of the adjustment component structure provided in an embodiment of the present invention;

[0021] Figure 3 This is a second schematic diagram of the adjustment component structure provided in an embodiment of the present invention.

[0022] Explanation of reference numerals in the attached figures:

[0023] 1. Teaching Unit; 2. Teaching Interaction Unit; 3. Data Processing Unit; 4. Data Evaluation Unit; 5. Adjustment Components; 51. Base Plate; 52. Adjustment Rod; 53. Rotating Block; 531. Support Rod; 54. Snap-fit ​​Plate; 55. Column; 56. Fixing Block; 57. Limiting Plate; 58. Movable Plate; 59. Telescopic Components. Detailed Implementation

[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. The terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Furthermore, unless otherwise explicitly specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal communication of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0026] Example 1:

[0027] Please see Figure 1 A computer-based big data and artificial intelligence teaching and training platform, including teaching unit 1, through which students are taught;

[0028] This program establishes foundational knowledge to ensure students have an understanding of the topics to be taught before starting AI instruction. Through project-based learning, students explore and solve problems in a series of real-world issues and tasks, while emphasizing active student participation and the development of practical skills.

[0029] Teaching Interaction Unit 2 is connected to Teaching Unit 1. It can also provide students with experimental scenarios to consolidate the content learned in Teaching Unit 1. Teaching Interaction Unit 2 can help students understand the teaching content through questioning or discussion, and at the same time promote students' thinking.

[0030] In this embodiment, students can be provided with a real-world case study to analyze the problem and propose solutions, while also discussing and sharing their findings; this can cultivate students' problem-solving abilities and critical thinking skills.

[0031] Interactive games related to the learned content can also be designed to help students consolidate and apply their knowledge through games. At the same time, through interactive teaching unit 2, students can vote and conduct surveys to collect their opinions and feedback. The relevant opinions and feedback can be explained to ensure that students fully understand the parts they have opinions about.

[0032] Furthermore, the data processing unit 3, which is connected to the teaching interaction unit 2, is used to record and analyze the student's practical training data; the data processing unit 3 receives various data from student interactions within the teaching interaction unit 2 and marks the prominent parts of the student's data.

[0033] Specifically, during the teaching process, teachers can address students' questions or confusion to ensure their understanding of the teaching content. Through specific cases or examples, teachers can help students better understand and apply the knowledge they have learned, deepening their understanding of concepts and principles. Teachers can also guide students to conduct case studies, allowing them to use their knowledge to analyze and solve real-world cases, thereby consolidating their knowledge and cultivating their practical application skills.

[0034] Appropriate methods can be selected based on different subjects and teaching content, taking into account students' age, interests, and learning characteristics; through diversified teaching processing units, students' learning interest can be better stimulated, and the digestion and application of knowledge can be promoted.

[0035] Furthermore, the data assessment unit 4, which is connected to the data processing unit 3, assesses students' knowledge acquisition through tests or quizzes; based on the data marked by the data processing unit 3, the data assessment unit 4 provides timely feedback and suggestions, allowing students to understand their learning progress and providing opportunities for improvement.

[0036] Specifically, assessments can be conducted by evaluating students' completed learning tasks to understand their level of knowledge mastery and application, as well as by evaluating their performance in group collaborations, including their collaborative abilities, contributions, and communication skills. Assessments can also be carried out through observation, listening to group reports, or evaluating group outcomes.

[0037] At the same time, timely feedback and suggestions are provided based on the students' actual situation, so that students can understand their learning progress and are given opportunities for improvement; questionnaires can also be used to collect students' feedback on teaching content and methods in order to improve teaching quality.

[0038] Example 2:

[0039] Please see Figure 2 - Figure 3 A computer-based big data and artificial intelligence teaching and training platform also includes a display screen. One end of the display screen is connected to an adjustment component 5. The adjustment component 5 includes a base plate 51. An adjustment rod 52 is rotatably mounted on the upper end of the base plate 51, and a rotating block 53 is rotatably mounted on the end of the adjustment rod 52. A support rod 531 is provided on the upper end of the rotating block 53.

[0040] In this solution, one end of the substrate 51 is fixedly connected to the upper end of the teaching and training platform. When the student adjusts the angle of the adjustment rod 52, the height of the entire display screen can also be adjusted to suit students of different heights. This avoids damage to students' eyes due to the different angles and heights of the display screen during long-term use.

[0041] Furthermore, a snap-fit ​​plate 54 is rotatably mounted on the upper end of the support rod 531, and a column 55 is provided on the upper end of the snap-fit ​​plate 54. A fixing block 56 is provided on the outer surface of the column 55. A limiting plate 57 is provided on one side of the fixing block 56, and a telescopic member 59 is rotatably mounted on the end of the limiting plate 57 away from the fixing block 56. A movable plate 58 is rotatably mounted at the middle position of one side of the limiting plate 57, and the end of the movable plate 58 away from the limiting plate 57 is connected to the output end of the telescopic member 59.

[0042] Specifically, when the display screen is not in use, the adjusting rod 52 can be rotated downwards to keep it horizontal with the substrate 51, and simultaneously drive the support rod 531 and the column 55 to rotate around the rotating block 53, so that they are completely retracted into the interior of the adjusting rod 52, thereby retracting the display screen. At the same time, the telescopic member 59 is driven to drive the movable plate 58, which is rotatably installed at the output end of the telescopic member 59, to rotate around the limiting plate 57, so that the display screen is horizontal with the substrate 51 after folding, while reducing the space occupied by the display screen.

[0043] The telescopic component 59 is a device with power output, such as an electric telescopic pole, and is connected to an external control device, which can also be connected to a teaching and training platform.

[0044] The control device can be a microcontroller as the control terminal. In this embodiment, the microcontroller is a typical embedded microcontroller unit, consisting of an arithmetic logic unit (ALU), a controller, memory, input / output devices, etc., equivalent to a miniature computer. Compared with the general-purpose microprocessors used in personal computers, it emphasizes self-sufficiency (no external hardware required) and cost savings. Its biggest advantage is its small size, which can be placed inside the instrument, but it has small storage capacity, simple input / output interfaces, and low power consumption.

[0045] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A computer-based big data and artificial intelligence teaching and training platform, characterized in that, It includes a teaching unit (1) through which students are taught; The teaching interaction unit (2) is connected to the teaching unit (1). At the same time, the teaching interaction unit (2) can provide students with experimental scenarios to consolidate the content learned in the teaching unit (1). The data processing unit (3), which is connected to the teaching interaction unit (2), is used to record student training data and analyze the recorded data; The data evaluation unit (4), which is connected to the data processing unit (3), evaluates the students' knowledge mastery through tests or quizzes.

2. The computer-based big data and artificial intelligence teaching and training platform according to claim 1, characterized in that, The teaching interaction unit (2) can help students understand the teaching content through questioning or discussion, while also promoting students' thinking.

3. The computer-based big data and artificial intelligence teaching and training platform according to claim 1, characterized in that, The data processing unit (3) receives various data from student interactions within the teaching interaction unit (2) and marks the prominent parts of each student's data.

4. The computer-based big data and artificial intelligence teaching and training platform according to claim 1, characterized in that, The data evaluation unit (4) provides timely feedback and suggestions based on the data marked by the data processing unit (3), allowing students to understand their learning situation and providing opportunities for improvement.

5. The computer-based big data and artificial intelligence teaching and training platform according to claim 1, characterized in that, It also includes a display screen, one end of which is connected to an adjustment component (5). The adjustment component (5) includes a base plate (51), an adjustment rod (52) is rotatably mounted on the upper end of the base plate (51), and a rotating block (53) is rotatably mounted on the end of the adjustment rod (52). A support rod (531) is provided on the upper end of the rotating block (53).

6. The computer-based big data and artificial intelligence teaching and training platform according to claim 5, characterized in that, The upper end of the support rod (531) is rotatably mounted with a snap-fit ​​plate (54), and the upper end of the snap-fit ​​plate (54) is provided with a column (55), and the outer surface of the column (55) is provided with a fixing block (56).

7. The computer-based big data and artificial intelligence teaching and training platform according to claim 6, characterized in that, A limiting plate (57) is provided on one side of the fixing block (56), and a telescopic member (59) is rotatably installed on the end of the limiting plate (57) away from the fixing block (56).

8. The computer-based big data and artificial intelligence teaching and training platform according to claim 7, characterized in that, A movable plate (58) is rotatably mounted at the middle position of one side of the limiting plate (57), and the end of the movable plate (58) away from the limiting plate (57) is connected to the output end of the telescopic member (59).

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