651 pages, 230,000 words, top-level design and construction plan of smart education big data informatization WORD

Guide: The original "651-page 230,000-word smart education big data informatization top-level design and construction plan WORD" (see the end of the article for the source), this article selects the essence and structure part, with clear logic and complete content, in order to quickly form a pre-sales plan for reference.

Table of contents

1. Program Background

1.1 Support national modernization with education modernization

1.2 Educational informatization is an important content and symbol of educational modernization

1.3 Big data drives the development of educational informatization

1.4 Policy Guidance Big Data Promotes Educational Reform

1.5 Educational big data application ecological service education modernization

2. Construction needs

2.1 The regional education system urgently needs information sharing and system integration

2.2 The new teaching environment requires innovative teaching content and methods

2.3 The change of educational elements requires an update of the educational evaluation model

2.4 The new social form prompts an urgent need to change the talent training model

3. Design ideas

3.1 Focus on data value

3.2 Adhere to integration and innovation

3.3 Improving the quality of teachers and students

3.4 Transform thinking mode

4. Construction goals

4.1 Build an educational big data platform to guide educational applications

4.2 Provide personalized teaching services

4.3 Change the teaching and learning development model and improve the data literacy of teachers and students

4.4 Promote the development of school education informatization and solve development problems

4.5 Mining big data to promote the transformation of educational research

4.6 Promote scientific decision-making in education based on big data

4.7 Carry out educational big data services to benefit all educational participants

5. Top-level design

5.1 Design principles

5.1.1 Standardization and normative principles

5.1.2 Principles of Openness and Extensibility

5.1.3 Ease of use principle

5.2 General framework

5.2.1 Basic environment

5.2.2  Big Data Control Center

5.2.3  Educational big data application services

5.3 Technical route

5.3.1 Big data technology

5.3.2 Data fusion technology

5.3.3 Big data analysis and visualization

5.3.4  Microservice architecture

6. Construction content

6.1 Standard system construction

6.1.1 Terms and Definitions

6.1.2 Data element structure

6.1.3 Standard specification

6.2 Database construction

6.2.1 Student metadata directory

6.2.2 Teacher (staff) metadata directory

6.2.3 School metadata directory

6.2.4 Resource metadata directory

6.3 Regional construction (city/district/county)

6.3.1 Regional Big Data Decision Support Service Platform

6.3.2 Application of teaching quality big data

6.3.3 Big data application in teaching development

6.3.4  Campus Security Big Data Application

6.4 School-level construction

6.4.1  Campus Big Data Center Platform

6.4.2 Application of teaching quality big data

6.4.3 Big data application in teaching process

6.4.4  New college entrance examination application

6.4.5 Intelligent management equipment

7. Teaching service

7.1 Teaching and Research Activities Services

7.2 Teaching process service

7.2.1  Educational Big Data Platform Services

7.2.2  Teaching Quality Big Data Application Services

7.2.3 Big data in the teaching process and application services for the new college entrance examination

8. Construction mode

8.1 Capital investment

8.2 Construction period

8.2.1 Phase construction

8.2.2 Phase application

9. Expected effect

10. Project implementation management plan

10.1 Project Organization Management

10.1.1 Establish project organization and management organization

10.1.2 Determining project division roles and responsibilities

10.1.3 Establish project organization-related management systems

10.2 Project Management Plan

10.2.1 Comprehensive management plan

10.2.2 Comprehensive Change Control

10.3 Scope Control Plan

10.3.1 Scope Definition and Tracking

10.3.2 Change Management

10.3.3 Change Control Tools

10.4 Progress control plan

10.4.1 Project Progress Tracking

10.4.2 Project Progress Analysis

10.4.3 Project progress control

10.5 Organizational structure and personnel management plan

10.5.1 Human resource planning

10.5.2 Project team building

10.5.3 Project Team Management

10.6 Quality Assurance Plan

10.6.1 Quality assurance objectives

10.6.2 Quality Assurance Roles and Responsibilities

10.6.3 Quality Assurance Process

10.6.4 Quality assurance activities

10.7 Communications Management Plan

10.7.1 Communication Plan

10.7.2 Reporting format

10.7.3 Related Tool Documentation

10.8 Configuration management plan

10.8.1 Configuration Management Objectives

10.8.2 Configuration Management Roles and Responsibilities

10.8.3 Configuration Management Process

10.8.4 Configuration item definition

10.8.5 Configuration management activities

10.8.6 Configuration Management Tools

10.9 Risk Control Plan

10.9.1 Risk identification

10.9.2 Risk Analysis

10.9.3 Risk Control

10.10 Change Management Plan

10.10.1 Change management approach

10.10.2 Key strategies for successful change management

10.11 Project Schedule

10.11.1 Factors Affecting Project Schedule

10.11.2 Principles of Project Schedule Development

10.11.3 Project Implementation Schedule

10.11.4 Project Milestones

10.12 Security and Confidentiality Plan

10.13 Documentation plan

10.13.1 Project Management Class

10.13.2 Software Engineering

10.13.3 Project support classes

10.14 Quality Assurance Plan

10.14.1 Determining quality assurance objectives

10.14.2 Quality Assurance Roles and Responsibilities

10.14.3 Quality Assurance Process

10.14.4 Quality assurance activities

10.15 Product delivery plan

10.15.1 Background introduction

10.15.2 Customer Management

10.15.3 Service personnel management

10.15.4 Service Process Management

10.15.5 Serving Physical Facilities

10.15.6 Detailed Product Delivery Plan

10.16 Project Training Plan

10.16.1 Training organization management

10.16.2 Training Team Requirements

10.16.3 Training object

10.16.4 Training content and requirements

10.17 Implement risk management

10.17.1 Risk plan

10.17.2 Risk Monitoring

10.17.3 Risk Management

11. After-sales service and training

11.1 Description of after-sales service

11.1.1 After-sales service and response level

11.1.2 Regular on-site inspection service

11.1.3 Personal on-duty service

11.1.4 Localization service

11.2 Guarantee measures for operation and maintenance services

11.2.1 Project Operation and Maintenance Organization and Responsibilities

11.2.2 Operation and maintenance risk prevention measures

11.2.3 Emergency measures for O&M emergencies

11.3 Service Quality Assurance Measures

11.3.1 Perfect after-sales service system

11.3.2 Establishment of operation and maintenance system

11.3.3 Operation and maintenance knowledge base system

11.3.4 Construction of operation and maintenance team

11.3.5 Closed-loop service

11.3.6 Service Monitoring Mechanism

11.3.7 Operation and maintenance guarantee during trial operation

11.3.8 Operation and maintenance guarantee during the free warranty period

11.3.9 Operation and maintenance after the free warranty period

11.4 Scope of Warranty

11.5 After-sales service commitment

11.6 List of outlets and service telephone numbers of after-sales service agencies

11.6.1 Staffing of after-sales service

11.6.2 Personnel training plan

12. Design scheme of construction organization

12.1 Construction organization design

12.1.1 Comprehensive description, quality, service, safe and civilized construction goals

12.1.2 Main construction methods; application of new technology, new material, new process and new equipment

12.1.3 The main materials and construction machinery and equipment input into the project, and the entry plan of the main construction machinery

12.1.4 Construction equipment entry plan

12.1.5 Entry plan of products used in the project

12.1.6 Technical organizational measures to ensure project quality

12.1.7 Technical and organizational measures to ensure safe production

12.1.8 Technical and organizational measures to ensure civilized construction

12.1.9 Schematic diagram of construction sequence, overall schedule and overall image progress

12.2 Project Management Agency Configuration

12.3 Quality and warranty service

12.3.1 Warranty period and scope

12.3.2 Warranty obligations

12.3.3 After-sales training

12.3.4 After-sale maintenance service

12.3.5 Interface docking service

12.4 Organizational Management

12.4.1 Project Management Methodology

12.4.2 Project Quality Management

12.4.3 System Test Plan

12.4.4 Test scheme

12.4.5 Test Management

12.5 Project Risk Management

12.5.1 List of main risks

12.5.2 Risk Impact Analysis

12.5.3 Key Risk Analysis

12.5.4 Risk Control Plan

12.5.5 Risk response measures

12.5.6 Project Communications Management

12.5.7 Project decision-making system

12.5.8 Issues and Dispute Management Measures

12.6 Support period after launch

12.7 Overall layout of construction

12.7.1 Construction deployment principles

12.7.2 2 Construction preparation stage

12.7.3 Construction phase

12.7.4 Commissioning handover phase

12.8 Construction sequence and process arrangement

12.8.1 Construction method

12.8.2 Quality Standards

12.8.3 Operating process

12.8.4 Quality issues that should be paid attention to

12.8.5 Equipment Installation Requirements

12.8.6 Construction Wiring Specification Requirements

12.9 Project Workflow

12.9.1 Distribution Engineering

12.9.2 Antistatic and dustproof treatment

12.9.3 Covert Engineering

12.9.4 Ceiling works

12.9.5 Color steel plate wall project

12.9.6 Construction preparation for anti-static floor

12.9.7 Anti-static grounding and lightning protection

12.9.8 Relocation of fire protection system

12.9.9 Computer room environmental power monitoring system engineering

12.9.10 Relocation, installation and commissioning of precision air conditioners in computer rooms

12.9.11 Equipment relocation

12.9.12 DLP system

12.9.13 Call Center System

12.9.14 Sound system

12.9.15 Smart Security System IMOS

13. Measures to ensure safety, civilization and civilized construction

13.1 Objectives of safe and civilized construction

13.2 Management measures for safe and civilized construction

13.2.1 Safety Education

13.2.2 Security Check

13.2.3 Technical measures

13.2.4 Investigation and Handling of Safety Accidents

13.3 Safety Production Responsibilities of Personnel at All Levels

13.4 Safety and Fire Prevention Measures

13.5 Emergency assurance measures

13.6 Measures to ensure civilized construction management

13.6.1 Civilized Construction Principles

13.6.2 Civilized Construction Management Responsibilities

13.6.3 On-site civilized construction management content

13.6.4 Inspection and assessment

13.7 Management measures to ensure construction safety

13.7.1 Security Management

13.7.2 Construction site

13.7.3 Construction equipment

13.7.4 Fire Safety and Fire Prevention Regulations

13.7.5 Safe use of electricity

1. General framework

Based on meeting the requirements of big data platforms, applications, and service construction, integrate existing hardware and software resources, and construct data computer room computing, storage, network, disaster recovery, security and other software and hardware infrastructure environments; construction covers core basic databases, data acquisition, Data sharing, data mining, data control, data service data processing center big data management and control platform and data standards, data security and other management systems; aggregate the built application management system, create a new type of big data application service system, and build a teaching service system. The whole region, the whole school, the whole school period, and the whole process collect the data units of each link of education, integrate the content of education metadata to form an education data set, break through the data barriers between education application systems and management ports, and form an education data chain. Analyze, mine, and early-warning education decision-making information, cluster, extract, and discover various behavioral data of teaching, learning, and management, and comprehensively guide education business management with data; improve the quality of education with precision and intelligence; cultivate teaching and learning with intelligence and personalization. Learn behavior habits.

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Top-level design architecture diagram

1.1 Basic environment

The basic environment provides the required basic network environment, hardware platform environment, virtualization environment, and basic security environment for the core platform of educational big data and various application systems. It mainly includes software and hardware infrastructure such as cloud platform, network facilities, security facilities, professional operation and maintenance team, and the data center security system established to ensure the stable, efficient and reliable operation of the basic environment.

1.1 Big data control center

The big data management and control center is located above the basic environment layer, responsible for storing and managing education-related core big data content, establishing standard data sources with "one account for one person" and "one code for one school", controlling data sources, and providing data application services Various information resources and data services.

The basic database construction is composed of a core database composed of basic educational metadata such as organization, teaching status, student status, and school, and a subject database composed of educational process data such as teaching conditions, learning conditions, examinations, and resources.

Data control includes data standard management, data code set management, data process and data quality management, etc., and strictly traces every trace of data change in the whole process of data collection, cleaning, adoption, and update to ensure that the system data quality is efficient, stable, and available.

Data collection, sharing, and mining respectively represent the three core circulation processes of data. Collecting data follows "one count, one source", sharing data extraction "one source for multiple purposes", and mining data analysis "one count and multiple chains". Strictly control the inflow of data and the relationship between data in each link. Let the data content be transparent, the data relationship be clarified, and the data performance decision-making.

The establishment of data security and data standard system is a specific measure to ensure the normal development, supervision and assessment of all work in the big data management and control center.

1.1.3 Educational big data application services

Application service is not only the collection input layer of educational data, but also the service output layer of educational data. Carrying all levels and types of information application systems of the education big data center, as the execution unit of specific businesses, the education big data application service layer is an important carrier to realize the digitization of business processes such as education management, teaching services, and education benefits.

Big data application services adopt a cloud architecture with centralized deployment and multi-level applications. Centralized construction reduces the workload of system maintenance, data interoperability avoids data islands in system construction, multi-terminal and multi-source data collection, centralized and unified application authority control, convenient and fast unified authentication management, and unified provision of diverse and rich applications.

Management units such as education bureaus and schools rely on cloud platforms at all levels to build various business application systems in a unified manner. Data exchange management is carried out between platforms, and business work is carried out between systems relying on platforms to build regional education portraits, school development evaluations, Educational management and decision-making applications and data services such as teaching quality monitoring. Teachers, students, and parents, as application units, select corresponding service systems according to the needs of teaching, learning, and tracking. The system automatically collects the daily use data of each role, analyzes and mines useful data to form teacher portraits, student portraits, teaching warnings, and home-school cooperation. class information services.

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Origin blog.csdn.net/zuoan1993/article/details/132351766