CN111612408A - Cloud resource management system for big data experiment training - Google Patents
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Abstract
The invention discloses a cloud resource management system for big data experiment training, which comprises a login unit, wherein the login unit is sequentially connected with a training course creating module and a newly-built experiment module, the training course creating module and the newly-built experiment module are sequentially connected with a data platform, the data platform is used for collecting and storing training data and respectively transmitting the collected and stored information to the training course creating module and the newly-built experiment module, the training course creating module is sequentially connected with a training course management module and a management project group module in a signal mode, and the training course management module is composed of a training outline module, a training guidance module, a training review module, a data sharing module, a course announcement module and a score management module. The invention solves the problems of large data volume, difficult management, blindness, complex process and high cost of supporting lessons, teaching, operation, experiments and the like in the actual network teaching management process.
Description
Technical Field
The invention relates to the technical field of network teaching, in particular to a cloud resource management system for big data experiment training.
Background
The QSTE big data experiment training system is a practice platform of a big data laboratory, supports big data experiments and training projects, adopts teaching modes such as double-project driven teaching and swimming pool training, can jump to a big data experiment environment one by one in a visual interface, task decomposition and other modes, and realizes scene teaching.
In the actual network teaching management process, the cloud resource management system for the big data experiment practical training is huge in data volume for supporting lessons, teaching, homework, experiments and the like, is difficult to manage, has blindness, complicated process, high cost and low efficiency, especially cannot meet the requirements of different students on learning, is difficult to manage, is not convenient for timely inquiring and knowing the teaching condition of a teacher and the homework completion condition of the students, and cannot perform practical training guidance and intelligent teaching.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a cloud resource management system for big data experimental training, which has the characteristics of convenience in management, low cost and convenience in learning.
In order to achieve the purpose, the invention adopts the following technical scheme:
a cloud resource management system for big data experiment training comprises a login unit, wherein the login unit is sequentially connected with a training course creation module and a newly-built experiment module, the training course creation module and the newly-built experiment module are sequentially connected with a data platform, the data platform is used for collecting and storing training data and respectively transmitting the collected and stored information to the training course creation module and the newly-built experiment module, the training course creation module is sequentially connected with a training course management module and a management project group module in a signal mode, the training course management module is composed of a training outline module, a guiding training module, a training review module, a data sharing module, a course announcement module and a score management module, the training course creation module is used for a training instructor to create training content and realize interaction of students and training teachers, the newly-built experiment module is connected with the experiment management module.
Preferably, the practical training guidance module is used for a practical training teacher to check or edit task contents in the practical training guidance module, and the practical training teacher can control whether task contents, task guidance and tasks are opened for students according to the contents in the practical training guidance module, and can control one or more task contents to be opened independently.
Preferably, the practical training review module comprises a practical training teacher review module and a practical training review interface module, the practical training teacher review module is used for creating review, viewing review details and total scores of the review, the practical training review interface module is used for increasing score release, and the practical training review interface module is used for increasing the time of submission, ranking of scores and editing scores.
Preferably, the data sharing module comprises an upload file module and a download file module, the upload file module is used for uploading the shared file to the practical training students, and the practical training students can view the content in the shared file through the content in the download file module.
Preferably, the course announcement module is used for editing and issuing the course related announcement, and the student reminds of receiving the content in the course related announcement through the message popup window.
Preferably, the score management module consists of a score management module and a total score page module, and the total score page module is used for checking the total evaluation scores of the students, the scores of the classes, the submission evaluation conditions of the students and the reading conditions of the specific students.
Preferably, the newly-built experiment module comprises a task issuing module and an experiment manual uploading module, the task issuing module is used for the practical training teacher to issue common experiment tasks, check student submission information, states and specific student experiments, and the experiment manual uploading module is used for re-uploading the experiment manual.
The invention has the beneficial effects that: by arranging the login unit, the data platform, the training course establishing module and the newly-built experiment module, a teacher can issue, instruct and evaluate training experiment tasks, can give out guidance opinions according to different learning conditions of students and improve training scores, and the arranged data sharing module is used for sharing teacher courseware data to the students, so that the students can check and learn the data, intelligent management and sharing of professional teaching resources are realized, the learning of the students is facilitated, the learning enthusiasm of the students can be fully mobilized, meanwhile, the score management module is used for collecting, analyzing and comparing the learning scores, the training and experiment states of the students and the details of the training and the experiment of specific students can be known through analyzing the scores, the intelligent teaching quality is improved, the teaching is realized, the teaching burden and the working pressure of teachers are relieved, and the resources can be effectively and reasonably and efficiently utilized, the problems of large data volume, difficulty in management, blindness, complex process and high cost in the process of supporting lessons, teaching, operation, experiments and the like in the actual network teaching management process are solved.
Drawings
Fig. 1 is a schematic structural diagram of a cloud resource management system for big data experimental training provided by the invention;
fig. 2 is a schematic structural diagram of a training course management module in a cloud resource management system for big data experiment training provided by the 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.
Referring to fig. 1-2, a cloud resource management system for big data experimental training, comprising a login unit, the login unit is sequentially connected with a training course creation module and a new experiment module, the training course creation module and the new experiment module are sequentially connected with a data platform, wherein the data platform is used for collecting and storing training data and respectively transmitting the collected and stored information to the training course creation module and the new experiment module, the training course creation module is sequentially connected with a training course management module and a management project group module by signals, the training course management module is composed of a training outline module, a training guidance module, a training review module, a data sharing module, a course announcement module and a training management module, the training course creation module is used for a training instructor to create training scores, the interaction between the practical training students and the practical training teachers is realized, and the newly-built experiment module is connected with the experiment management module.
In this embodiment, the practical training guidance module is used for a practical training teacher to check or edit task contents in the practical training guidance module, and the practical training teacher can control task contents, task guidance and whether tasks are opened to students according to the contents in the practical training guidance module, and can also control one or more task contents to be opened independently; the practical training review module comprises a practical training teacher review module and a practical training review interface module, the practical training teacher review module is used for creating review, checking review details and total scores of the review, the practical training review interface module is used for increasing score release, and the practical training review interface module is used for increasing the score sorting and editing scores according to the submission time and the scores; the data sharing module comprises an uploading file module and a downloading file module, the uploading file module is used for uploading the shared file to the practical training students, and the practical training students can check the content in the shared file through the content in the downloading file module; the course bulletin module is used for editing and issuing the course related bulletin, and the students remind of receiving the contents in the course related bulletin through the message popup window; the score management module consists of a score management module and a total score page module, and the total score page module is used for checking the total scores of the students, the scores of classes, the submitting and reviewing conditions of the students and the reviewing conditions of specific students; the newly-built experiment module is by release task module and experiment manual upload module, and the release task module is used for the training teacher to release ordinary experiment task, looks over student and submits information, state and concrete student's experiment, and experiment manual upload module is used for uploading the experiment manual again.
In the embodiment, the login unit supports three modes of account login (account, mobile phone and mailbox), short message login and learning number login, a practical training teacher or a practical training student completes login through the login unit, and a pop-up frame prompts to bind the mobile phone after login; if the mobile phone number is filled, the mobile phone number can be prompted to be verified, bound, and conveniently logged in and password can be retrieved for the mobile phone, the mobile phone can respectively enter the practical training course creating module and the newly-built experiment module according to requirements after logging is completed, the data platform is used for collecting and storing practical training data and respectively transmitting the collected and stored information to the practical training course creating module and the newly-built experiment module, a teacher can respectively enter the practical training course creating module and the newly-built experiment module and issues different tasks to students or modifies the existing practical training and experiment contents, the teacher receives and completes the tasks after issuing the tasks, the teacher can enter the experiment management module or the practical training management module on line or after class, the practical training management module can be used for creating a group and selecting a group leader (project manager) to complete group creation, the group leader has the authority to add and delete the members in the group, the students can resubmit the experimental report and the achievements and check the submission condition of all the students on the experimental score page before the teacher scores in the experimental management module, thereby carrying out practical training and experimental review, the teacher can create the review, check the review details and the total score of the review through the practical training review, the teacher can effectively reflect the practical training effect and the practical training progress, the teacher can conveniently check the score of the students on line, and can also give out guidance opinions aiming at different learning conditions of the students to improve the practical training score, the set data sharing module can share the teacher document to the students, the students can check and learn the data, thereby realizing the intelligent management and sharing of professional teaching resources, facilitating the learning of the students, fully mobilizing the learning enthusiasm of the students, and the teacher can check the total score page module, increase paper score, issue the score, set up the proportion of reviewing, derive total score, be convenient for collect, analysis and comparison to the academic score, through the analysis to the score, can know student's real standard and experimental state and the details of concrete student's real standard and experiment, improved the quality of teaching, realized the wisdom teaching, not only alleviateed teacher's teaching burden and operating pressure, can also effectually utilize the resource rationally high-efficiently.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
1. A cloud resource management system for big data experiment training comprises a login unit and is characterized in that the login unit is sequentially connected with a training course creation module and a new experiment module, the training course creation module and the new experiment module are sequentially connected with a data platform, the data platform is used for collecting and storing training data and respectively transmitting the collected and stored information to the training course creation module and the new experiment module, the training course creation module is sequentially connected with a training course management module and a management project group module in a signal mode, the training course management module is composed of a training outline module, a training guidance module, a training review module, a data sharing module, a course announcement module and a score management module, and the training course creation module is used for a training guide to create training content, the interaction between the practical training students and the practical training teachers is realized, and the newly-built experiment module is connected with the experiment management module.
2. The cloud resource management system for big data experimental practical training according to claim 1, wherein the practical training guidance module is used for a practical training teacher to check or edit task contents in the practical training guidance module, and the practical training teacher can control whether task contents, task guidance and tasks are opened to students according to the contents in the practical training guidance module, and can control one or more task contents to be opened independently.
3. The cloud resource management system for big data experiment training according to claim 1, wherein the training review module comprises a training teacher review module and a training review interface module, the training teacher review module is used for creating review, checking review details and total scores of the review, the training review interface module is used for increasing score release, and the training review interface module is used for increasing the score sorting and editing scores according to the submission time and the scores.
4. The cloud resource management system for big data experiment practical training according to claim 1, wherein the data sharing module comprises an upload file module and a download file module, the upload file module is used for uploading a shared file to a practical training student, and the practical training student checks the content in the shared file by downloading the content in the file module.
5. The cloud resource management system for big data experimental training according to claim 1, wherein the course bulletin module is configured to edit and issue a course-related bulletin, and the student reminds of receiving contents in the course-related bulletin through a message popup window.
6. The cloud resource management system for big data experimental training as claimed in claim 1, wherein the score management module is composed of a score management module and a total score page module, and the total score page module is used for checking the total scores of the students, the scores of the classes, the submission and review conditions of the students and the review conditions of a specific student.
7. The cloud resource management system for big data experiment practical training according to claim 1, wherein the newly-built experiment module comprises a task issuing module and an experiment manual uploading module, the task issuing module is used for a practical training teacher to issue a common experiment task, check student submission information, status and specific student experiments, and the experiment manual uploading module is used for re-uploading an experiment manual.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114005325A (en) * | 2021-11-16 | 2022-02-01 | 浪潮卓数大数据产业发展有限公司 | Teaching training method, device and medium based on big data |
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| CN107038917A (en) * | 2017-06-07 | 2017-08-11 | 赵蓉 | A kind of architectural engineering virtual teaching system |
| CN108665396A (en) * | 2018-05-14 | 2018-10-16 | 有时数联科技（北京）有限公司 | A kind of big data education practical training method and system |
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Patent Citations (5)
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| CN105336233A (en) * | 2015-11-24 | 2016-02-17 | 华中科技大学 | Virtual simulation teaching application platform |
| CN105869086A (en) * | 2016-04-05 | 2016-08-17 | 池州职业技术学院 | Computer network simulation training teaching system |
| CN106409055A (en) * | 2016-12-01 | 2017-02-15 | 武汉大思想信息股份有限公司 | Teaching simulated practical training system based on cloud platform |
| CN107038917A (en) * | 2017-06-07 | 2017-08-11 | 赵蓉 | A kind of architectural engineering virtual teaching system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114005325A (en) * | 2021-11-16 | 2022-02-01 | 浪潮卓数大数据产业发展有限公司 | Teaching training method, device and medium based on big data |
| CN114005325B (en) * | 2021-11-16 | 2024-03-29 | 浪潮卓数大数据产业发展有限公司 | Teaching training method, device and medium based on big data |
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Address after: No.325, Guangbo Road, hi tech Zone, Qingdao, Shandong Province Applicant after: Qingruan Innovation Technology Group Co.,Ltd. Address before: No.325, Guangbo Road, hi tech Zone, Qingdao, Shandong Province Applicant before: Qingdao soft training education Polytron Technologies Inc. |
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Application publication date: 20200901 |