CN113240961A - Training system and method for improving problem solving ability based on deep learning - Google Patents
Training system and method for improving problem solving ability based on deep learning Download PDFInfo
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- 238000012549 training Methods 0.000 title claims abstract description 85
- 238000013135 deep learning Methods 0.000 title claims abstract description 23
- 238000000034 method Methods 0.000 title claims abstract description 21
- 230000003340 mental effect Effects 0.000 claims description 12
- 238000013461 design Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 7
- 125000004122 cyclic group Chemical group 0.000 claims description 6
- 238000011156 evaluation Methods 0.000 claims description 6
- 210000004556 brain Anatomy 0.000 claims description 5
- 230000002452 interceptive effect Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000012552 review Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
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Abstract
The invention discloses a training system and method for improving problem solving ability based on deep learning. The invention comprises the following steps: the system instruction control module is used for judging each operation instruction, controlling different modules according to different instructions, managing different user information, reading different training information after a user logs in personal information, and selecting the content to be trained; the problem enumerating module is used for enumerating different problem types for different users, can be enumerated by a trainer by self, and exercises the trainer to organize the problems in a thinking mode.
Description
Technical Field
The invention relates to the technical field of learning ability training, in particular to a training system and a method for improving problem solving ability based on deep learning.
Background
The quality education with innovative spirit as the core is comprehensively promoted, is an urgent task of each educator, is an object which is struggled by each teacher for creation and teaching, and the important point of implementing the quality education is to develop the problem solving capability of students, and the problem solving capability is not only suitable for mathematic homework. Logical thinking and problem solving capabilities are also applicable to many industries such as accounting, computer programming, reconnaissance, and even some creative works such as art, performance, and writing; however, the existing training system is weak in targeted training, cannot meet the use requirements of different trainees, and is low in matching training degree, so that the training effect is poor.
Disclosure of Invention
The present invention provides a training system and method for improving problem solving ability based on deep learning, so as to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a training system for improving problem solving ability based on deep learning, comprising:
the system instruction control module is used for judging each operation instruction, controlling different modules according to different instructions, managing different user information, reading different training information after a user logs in personal information, and selecting the content to be trained;
the problem listing module is used for listing different problem types for different users, can be listed by a trainer, and trains the trainer to organize the problems in a thinking mode;
the problem selection module is used for selecting different problems by a trainer, and can provide a selection mode of selecting five from ten, selecting three from five and selecting one from two, so that the trainer can determine the problems to be solved;
the thinking design module is used for automatically collecting relevant information of the problems after the problems are determined, so that the thinking of the trainers is clearer, and meanwhile, the background system provides different types of data for the trainers to arrange so as to design the thinking for solving the problems;
and the idea implementation module is used for implementing the designed idea, analyzing and checking the listed idea and selecting the most appropriate and effective idea for solving the problem.
Further, the system comprises a problem thinking module which is used for implementing the designed idea one by one, thinking is conducted according to the evaluation result after implementation, a trainer is assisted to form a habit of cyclic solution, the trainer reviews unsuitable schemes again, attempts to adjust and modify the idea, puts into practice and reviews the result until the problem is finally solved.
Further, the training system also comprises a result feedback module which is used for recording and uploading the training condition of the trainer and feeding back the whole process.
Furthermore, the brain training module is used for developing the brain of the trainer and exercising the capability of solving problems.
Furthermore, the mental training module comprises a mental game library unit, an interactive operation unit and a training data recording unit.
Furthermore, the system instruction control module comprises an instruction receiving unit, an instruction processing unit, an instruction sending unit, a user login unit and a user training matching unit.
Further, the result feedback module comprises a data uploading unit, a data sending unit and an internet of things unit.
According to another aspect of the present invention, there is provided a training method for improving problem solving capability based on deep learning, which is used in a training system for improving problem solving capability of deep learning, and includes the following steps:
s1: a user login unit in the system instruction control module is used for user login, and after the user training matching unit reads user information, the user training matching unit screens the problems in the problem listing module according to the user information instruction processing unit;
s2: different problem types are listed for different users, so that the problems can be listed by the trainer, the trainer can be exercised to organize the problems in a self thinking mode and select different problems, a selection mode of selecting five from ten, three from five and one from two can be provided, and the trainer can determine the problems to be solved;
s3: after the problem is determined, the relevant information of the problem is automatically collected, so that the thinking of a trainer is clearer, meanwhile, a background system provides different types of data for the trainer to arrange, the thinking for solving the problem is designed, the designed thinking is implemented, the listed thinking is analyzed and checked, and the most appropriate and effective thinking for solving the problem is selected;
s4: implementing the designed thinking one by one, conducting a countering according to the implemented evaluation result, assisting a trainer to develop a habit of cyclic solution, reviewing an unsuitable scheme, trying to adjust and modify the thinking, putting into practice and reviewing the result until the problem is finally solved, recording and uploading the training condition of the trainer, and feeding back the whole process;
s5: the training condition of the trainer is recorded and uploaded, the whole process is fed back, and the mental training module is started, so that a plurality of types of training games can be provided, the agile thinking can be cultured, and the problem solving ability can be exercised.
Compared with the prior art, the invention has the beneficial effects that:
the training system for improving the problem solving capability can provide matched training modes and training contents according to the conditions of different users, the training pertinence is stronger, the training system can train the problem solving capability of a trainer step by step, the training effect is better, and the problems that the existing training system is weak in targeted training, cannot meet the use requirements of different trainers, is low in matching training degree and poor in training effect are solved.
Drawings
FIG. 1 is a block diagram of a training system for improving problem solving ability based on deep learning according to the present invention;
FIG. 2 is a schematic block diagram of a mental training module of a training system for improving problem solving ability based on deep learning according to the present invention;
FIG. 3 is a schematic block diagram of a system command control module of the training system for improving the problem solving capability based on deep learning according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, a training system for improving problem solving capability based on deep learning includes:
the system instruction control module is used for judging each operation instruction, controlling different modules according to different instructions, managing different user information, reading different training information after a user logs in personal information, and selecting the content to be trained;
the problem listing module is used for listing different problem types for different users, can be listed by a trainer, and trains the trainer to organize the problems in a thinking mode;
the problem selection module is used for selecting different problems by a trainer, and can provide a selection mode of selecting five from ten, selecting three from five and selecting one from two, so that the trainer can determine the problems to be solved;
the thinking design module is used for automatically collecting relevant information of the problems after the problems are determined, so that the thinking of the trainers is clearer, and meanwhile, the background system provides different types of data for the trainers to arrange so as to design the thinking for solving the problems;
and the idea implementation module is used for implementing the designed idea, analyzing and checking the listed idea and selecting the most appropriate and effective idea for solving the problem.
The system also comprises a problem thinking reversing module which is used for implementing the designed thinking one by one, reversing according to the evaluation result after implementation, assisting the trainer to form the habit of cyclic solution, reviewing the unsuitable scheme again, trying to adjust and modify the thinking, putting into practice and reviewing the result until the problem is finally solved.
The training system also comprises a result feedback module which is used for recording and uploading the training condition of the trainer and feeding back the whole process.
The brain training module is used for developing the brain of the trainer and training the ability of solving problems.
The mental training module comprises a mental game library unit, an interactive operation unit and a training data recording unit.
The system instruction control module comprises an instruction receiving unit, an instruction processing unit, an instruction sending unit, a user login unit and a user training matching unit.
The result feedback module comprises a data uploading unit, a data sending unit and an Internet of things unit.
According to another aspect of the present embodiment, there is provided a training method for improving problem solving capability based on deep learning, which is used in a training system for improving problem solving capability of deep learning, and includes the following steps:
s1: a user login unit in the system instruction control module is used for user login, and after the user training matching unit reads user information, the user training matching unit screens the problems in the problem listing module according to the user information instruction processing unit;
s2: different problem types are listed for different users, so that the problems can be listed by the trainer, the trainer can be exercised to organize the problems in a self thinking mode and select different problems, a selection mode of selecting five from ten, three from five and one from two can be provided, and the trainer can determine the problems to be solved;
s3: after the problem is determined, the relevant information of the problem is automatically collected, so that the thinking of a trainer is clearer, meanwhile, a background system provides different types of data for the trainer to arrange, the thinking for solving the problem is designed, the designed thinking is implemented, the listed thinking is analyzed and checked, and the most appropriate and effective thinking for solving the problem is selected;
s4: implementing the designed thinking one by one, conducting a countering according to the implemented evaluation result, assisting a trainer to develop a habit of cyclic solution, reviewing an unsuitable scheme, trying to adjust and modify the thinking, putting into practice and reviewing the result until the problem is finally solved, recording and uploading the training condition of the trainer, and feeding back the whole process;
s5: the training condition of the trainer is recorded and uploaded, the whole process is fed back, and the mental training module is started, so that a plurality of types of training games can be provided, the agile thinking can be cultured, and the problem solving ability can be exercised.
The working principle is as follows: the user login unit in the system instruction control module is used for user login, the user training matching unit reads the user information, the problems in the problem listing module are screened according to the user information instruction processing unit, different types of problems are listed for different users, the problems can be listed by a trainer, the trainer can organize the problems in a self thinking mode for the trainer to select different problems, a selection mode of selecting five from ten, three from five and two is provided, the trainer can determine the problems to be solved, after the problems are determined, the relevant information of the problems is collected automatically, the thinking of the trainer is clearer, meanwhile, the background system provides different types of data for the trainer to arrange, the thinking for solving the problems is designed, the designed thinking is implemented, the listed thinking is analyzed and checked, and the most appropriate and effective thinking for solving the problems is selected, the thought that designs is carried out the implementation one by one, carry out the backstep according to the aassessment success after implementing, and the supplementary training person nourishes the custom of circulation solution, examine unsuitable scheme again, try to adjust the thought and modify, put into practice and examine the achievement, until the problem finally solves, record and upload the training condition of training person, and make the feedback with whole flow, open mental training module simultaneously, can provide the training recreation of a plurality of kind, help cultivating agile thinking, temper the ability of solving the problem.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A training system for improving problem solving ability based on deep learning, comprising:
the system instruction control module is used for judging each operation instruction, controlling different modules according to different instructions, managing different user information, reading different training information after a user logs in personal information, and selecting the content to be trained;
the problem listing module is used for listing different problem types for different users, can be listed by a trainer, and trains the trainer to organize the problems in a thinking mode;
the problem selection module is used for selecting different problems by a trainer, and can provide a selection mode of selecting five from ten, selecting three from five and selecting one from two, so that the trainer can determine the problems to be solved;
the thinking design module is used for automatically collecting relevant information of the problems after the problems are determined, so that the thinking of the trainers is clearer, and meanwhile, the background system provides different types of data for the trainers to arrange so as to design the thinking for solving the problems;
and the idea implementation module is used for implementing the designed idea, analyzing and checking the listed idea and selecting the most appropriate and effective idea for solving the problem.
2. The training system for improving the problem solving ability based on deep learning as claimed in claim 1, further comprising a problem thinking module for implementing the designed idea one by one, thinking according to the evaluation result after implementation, assisting the trainer to develop the habit of cyclic solution, reviewing the unsuitable scheme again, trying to adjust and modify the idea, putting into practice and reviewing the result until the problem is finally solved.
3. The training system for improving the problem solving ability based on the deep learning as claimed in claim 1, further comprising a result feedback module for recording and uploading the training situation of the trainer and feeding back the whole process.
4. The training system for improving the problem solving ability based on the deep learning as claimed in claim 1, further comprising a mental training module for developing the brain of the trainer to exercise the problem solving ability.
5. The deep learning-based training system for improving the problem solving capability of the user according to claim 1, wherein the mental training module comprises a mental game library unit, an interactive operation unit and a training data recording unit.
6. The deep learning-based training system for improving problem solving capability of the user, according to claim 1, wherein the system command control module comprises a command receiving unit, a command processing unit, a command sending unit, a user login unit and a user training matching unit.
7. The deep learning-based training system for improving problem solving capability of the utility model as claimed in claim 1, wherein the result feedback module comprises a data uploading unit, a data sending unit and an internet of things unit.
8. A training method for improving problem solving ability based on deep learning, which is used for the training system for improving problem solving ability based on deep learning of claim 7, and comprises the following steps:
s1: a user login unit in the system instruction control module is used for user login, and after the user training matching unit reads user information, the user training matching unit screens the problems in the problem listing module according to the user information instruction processing unit;
s2: different problem types are listed for different users, so that the problems can be listed by the trainer, the trainer can be exercised to organize the problems in a self thinking mode and select different problems, a selection mode of selecting five from ten, three from five and one from two can be provided, and the trainer can determine the problems to be solved;
s3: after the problem is determined, the relevant information of the problem is automatically collected, so that the thinking of a trainer is clearer, meanwhile, a background system provides different types of data for the trainer to arrange, the thinking for solving the problem is designed, the designed thinking is implemented, the listed thinking is analyzed and checked, and the most appropriate and effective thinking for solving the problem is selected;
s4: implementing the designed thinking one by one, conducting a countering according to the implemented evaluation result, assisting a trainer to develop a habit of cyclic solution, reviewing an unsuitable scheme, trying to adjust and modify the thinking, putting into practice and reviewing the result until the problem is finally solved, recording and uploading the training condition of the trainer, and feeding back the whole process;
s5: the training condition of the trainer is recorded and uploaded, the whole process is fed back, and the mental training module is started, so that a plurality of types of training games can be provided, the agile thinking can be cultured, and the problem solving ability can be exercised.
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Citations (6)
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| CN105833525A (en) * | 2016-04-25 | 2016-08-10 | 武汉智普天创科技有限公司 | Game system |
| CN108416708A (en) * | 2018-02-08 | 2018-08-17 | 佛山市三盟新能源有限公司 | A kind of design method of primary school education multimedia interactive teaching system |
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| CN109447407A (en) * | 2018-09-21 | 2019-03-08 | 河源职业技术学院 | A kind of Construct question guiding-Distributed Learning control system and method |
| CN111681479A (en) * | 2020-06-24 | 2020-09-18 | 中国科学院自动化研究所 | Self-adaptive situational artificial intelligence teaching system, method and device |
| CN112419111A (en) * | 2020-11-25 | 2021-02-26 | 安徽新锐控股集团有限公司 | Multifunctional remote education platform and process |
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- 2021-05-19 CN CN202110544749.2A patent/CN113240961A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105833525A (en) * | 2016-04-25 | 2016-08-10 | 武汉智普天创科技有限公司 | Game system |
| CN108416708A (en) * | 2018-02-08 | 2018-08-17 | 佛山市三盟新能源有限公司 | A kind of design method of primary school education multimedia interactive teaching system |
| CN109447407A (en) * | 2018-09-21 | 2019-03-08 | 河源职业技术学院 | A kind of Construct question guiding-Distributed Learning control system and method |
| CN109255998A (en) * | 2018-10-25 | 2019-01-22 | 杭州数理大数据技术有限公司 | A kind of student performance diagnosis lifting system |
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Application publication date: 20210810 |