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An artificial intelligence machine learning experiment skill scoring system

A machine learning and artificial intelligence technology, applied in the field of artificial intelligence, can solve problems such as the workload pressure of unified work, different scoring scales, and heavy workload of manual scoring, so as to reduce demand, ensure effectiveness, and improve accuracy.

Pending Publication Date: 2019-05-07
SHANGHAI ZHONGKE EDUCATION EQUIP GROUP
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

During the experimental operation, when the scoring points are reached, the on-site grading teacher needs to confirm one by one. The manual grading workload on the site is huge, and different grading teachers have different grading scales, which makes the grading results unable to achieve good objectivity. At the same time, the test paper adopts The traditional paper test paper form cannot carry out informatized management of the students' test paper information. There is also a huge workload pressure in the unified scoring work after the scoring is over. The experimental operation process cannot be recorded. When candidates have disputes over the experimental scoring results, they cannot Able to effectively conduct dispute inquiry and settlement

Method used

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  • An artificial intelligence machine learning experiment skill scoring system

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Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0026] An artificial intelligence machine learning experiment skill scoring system according to an embodiment of the present invention may include a hardware architecture and a software architecture.

[0027] Refer to the attached figure 1 , the hardware architecture of the artificial intelligence machine learning experimental skill scoring system of this embodiment includes laboratory end equipment and server room equipment.

[0028] The laboratory end equip...

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Abstract

The invention discloses an artificial intelligence machine learning experiment skill scoring system, and particularly relates to the technical field of artificial intelligence. The artificial intelligence machine learning experiment skill scoring system comprises a hardware architecture and a software architecture, the hardware architecture is composed of a laboratory end device and a server machine room device, and the software architecture is set as a distributed micro-service hierarchical architecture. According to the invention, the cameras with multiple visual angles are adopted to acquire experimental operation video data of students; artificial intelligence technologies such as deep learning, Pattern recognition, Image processing, natural language processing, special intelligent experiment equipment and informationized electronic test paper are matched to achieve automated scoring, meanwhile, the system stores the experiment operation video and the scoring result; A teacher canlog in the system through the Internet to manually recheck an intelligent scoring result error, an automatic scoring result can be autonomously learned through a deep learning algorithm, the accuracyof automatic scoring is improved, and students can carry out score query and dispute processing through the Internet.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, and more specifically, the present invention relates to an artificial intelligence machine learning experiment skill scoring system. Background technique [0002] Experiment is an important teaching method to test students' mastery of theoretical knowledge. The current scoring methods for experimental skills are based on the scoring points required by certain experimental operations, and the scoring teacher conducts subjective scoring. The experimental operation in the scoring process involves fine operation, operation sequence and judgment of experimental conclusions, which requires a large number of professional disciplines The teacher can complete the evaluation of the experiment. During the experimental operation, when the scoring points are reached, the on-site grading teacher needs to confirm one by one. The manual grading workload on the site is huge, and different...

Claims

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Application Information

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IPC IPC(8): G06Q50/20G09B7/02
Inventor 王重阳
Owner SHANGHAI ZHONGKE EDUCATION EQUIP GROUP
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