Information teaching resource intelligent pushing device and method based on big data

Abstract

The invention belongs to the technical field of education, and discloses a big-data-based informatization teaching resource method, which comprises the following steps: S1, establishing a big-data-based informatization teaching resource database, S2, establishing a big-data-based informatization teaching resource database, and S3, establishing a big-data-based informatization teaching resource database; demand analysis and business model building: the demand analysis and business model building is a key early stage step in informatization teaching resource development or project implementation, and lays a solid foundation for project success; s2, data acquisition and integration: data acquisition and integration are key links in big data analysis; the method has the advantages that when new teaching resources need to be submitted, the pushing device can actively remind the user to receive new information according to different types and importance of the transmitted information, so that the timeliness of acquiring the information by the user is improved; the information provided by the push service is customized according to the specific demand of the user, so that the personalized demand of the user is fully reflected, and the pertinence and purposiveness of information acquisition are realized.

Description

Technical Field

[0001] The present invention belongs to the field of pedagogy technology, and specifically relates to an intelligent push device and method for information-based teaching resources based on big data. Background Art

[0002] Big data information-based teaching resources refer to the use of modern information technology means such as big data and cloud computing to collect, store, analyze and apply educational and teaching resources to support teaching activities. These resources are diverse, convenient, interactive and personal, and can meet the learning needs of different learners.

[0003] The intelligent push device and method of information-based teaching resources based on big data have shown broad application potential in the field of education, but they are also accompanied by a series of challenges. Technical limitations are its primary problem. Although big data technology has strong analytical capabilities, it may be difficult to accurately match teaching resources with teaching needs in a specific subject context, resulting in a disconnect between the push content and teaching practice. In addition, the accuracy and integrity of data are crucial to intelligent push, and any omissions in the data collection, processing and storage process may affect the reliability of the push results. Ethical and privacy risks should not be ignored either. Intelligent push involves the collection and processing of personal data. If the data user uses it improperly, it is very easy to infringe on students' privacy. What's worse, the abuse of big data algorithms may encourage academic misconduct, such as academic plagiarism and cheating, and seriously damage academic integrity. Furthermore, the problem of biased education subjects is also worth vigilance. Over-reliance on big data technology may cause teachers to ignore their main position in teaching and weaken their autonomy and flexibility in teaching decisions. If teachers only rely on resources pushed by big data platforms and ignore students' actual needs and learning styles, it will directly affect teaching effectiveness and may even aggravate educational inequality. Summary of the invention

[0004] The purpose of the present invention is to provide a device and method for intelligently pushing information-based teaching resources based on big data.

[0005] To achieve the above purpose, the present invention provides the following technical solution: a method for informatization of teaching resources based on big data, the method steps are as follows:

[0006] S1, Demand analysis and business model building: Demand analysis and business model building are key preliminary steps in the development of information-based teaching resources or project implementation. They lay a solid foundation for the success of the project;

[0007] S2, Data collection and integration: Data collection and integration are key links in big data analysis, which provide the basis for further analysis and mining of data;

[0008] S3, Data processing and analysis: Data processing and analysis is one of the core technologies in the field of big data, which involves the collection, storage, retrieval, processing, transformation, transmission, and in-depth analysis and mining of data;

[0009] S4, Development and utilization of information-based teaching resources: Information-based teaching resources refer to various resources that can support teaching activities and are developed and utilized through information technology means such as computers and networks;

[0010] S5, Effect evaluation and feedback: Effect evaluation and feedback is an important part of project management, which involves the process of systematically evaluating the impact and results of a project or plan after implementation;

[0011] S6, Security and privacy protection: Security and privacy protection are important aspects that cannot be ignored in the development and utilization of information-based teaching resources.

[0012] Preferably, the push device based on the above-mentioned information-based teaching resource method is composed of a registration module, a demand analysis module, a database module and a push module.

[0013] Preferably, the specific steps of demand analysis and business model building in S1 are as follows:

[0014] A1, clarify teaching objectives and needs:

[0015] A11, clarify teaching objectives and needs: clarify teaching objectives and resource construction needs based on education policies, school development plans, and the needs of students and parents;

[0016] A12, sort out business processes: sort out business processes such as teaching, management, and evaluation, and determine the key links of big data applications;

[0017] A13, Building a business model: Based on demand analysis, build a business model for information-based teaching resources, including data flow and functional requirements;

[0018] Preferably, the specific steps of data collection and integration in S2 are as follows:

[0019] B1, Data Collection and Integration:

[0020] B11, determine the scope of data collection: collect basic data such as schools, students, teachers, courses, teaching facilities, and dynamic data during the teaching process;

[0021] B12, select data collection methods: adopt active data extraction, data reporting, and real-time data monitoring to ensure the comprehensiveness and accuracy of data;

[0022] B13, Data integration and storage: The collected data will be stored in a standardized format and a data center will be established to provide support for subsequent data analysis.

[0023] Preferably, the specific steps of data processing and analysis in S3 are as follows:

[0024] C1, Data processing and analysis:

[0025] C11, data processing and analysis: clean the collected data, remove redundant and erroneous data, and convert the data format to ensure data availability;

[0026] C12, Data Analysis and Mining: Apply big data analysis technology to conduct in-depth mining of integrated data to discover patterns, trends and problems in the teaching process;

[0027] C13, establish data model: Based on the analysis results, establish a data model to provide decision support for optimizing teaching resources and improving teaching methods.

[0028] Preferably, the specific steps of developing and utilizing information-based teaching resources in S4 are as follows:

[0029] D1, Development and utilization of information-based teaching resources:

[0030] D11, personalized learning resource push: Based on students’ learning data, analyze students’ learning characteristics and needs, and provide students with personalized learning resources and learning paths;

[0031] D12, construction of intelligent teaching system: using big data and artificial intelligence technology to build an intelligent teaching system to achieve real-time updating of teaching content and intelligent adjustment of teaching methods;

[0032] D13, Optimal allocation of teaching resources: Based on the results of data analysis, rationally allocate teaching resources to improve teaching efficiency and quality.

[0033] Preferably, the specific steps of effect evaluation and feedback in S5 are as follows:

[0034] E1, effect evaluation and feedback:

[0035] E11, teaching effect evaluation: evaluate the application effect of information-based teaching resources through comparative experiments and questionnaire surveys;

[0036] E12, Feedback and Improvement: Based on the evaluation results, feedback from students, teachers, and parents is collected to continuously improve and optimize information-based teaching resources.

[0037] Preferably, the specific steps of security assurance and privacy protection in S6 are as follows:

[0038] F1, Security and Privacy Protection:

[0039] F11, Data security assurance: Establish a comprehensive data security assurance system to ensure the safe storage and transmission of data;

[0040] F12, Privacy protection: Strictly abide by relevant laws and regulations to protect the personal privacy information of students and teachers from being leaked.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] The benefits of the present invention to users through this method are as follows: when new teaching resources need to be submitted, the push device will actively remind the user to receive new information based on the type and importance of the transmitted information, thereby improving the timeliness of the user's acquisition of information; the information provided by the push service is customized according to the specific needs of the user, which fully reflects the user's personalized needs, thereby achieving the pertinence and purpose of information acquisition; information personnel obtain information from various channels and in various ways, and process and integrate it, and then transmit it to the user, so that the information is more comprehensive and more accurate.

[0043] Significance to the education industry: It can intelligently push teaching resources suitable for students based on their learning progress, interest preferences and ability levels, thereby avoiding waste and duplication of resources, and achieving optimal allocation of educational resources; through intelligent push, students in remote areas can also obtain teaching resources of the same quality as urban students, which helps to narrow the education gap and promote educational equity; teachers can formulate more accurate teaching plans based on the teaching resources pushed intelligently, thereby improving teaching effectiveness and students' academic performance.

[0044] Promotion of technological development: Through this device and method, big data technology can be widely used in the field of education, thereby promoting the further development and improvement of big data technology; in order to meet the needs of intelligent push of teaching resources, it is necessary to continuously develop new information technology and devices, which will help promote the innovation and development of information technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of the steps of the teaching resource method of the present invention;

[0046] Figure 2 A schematic diagram of the specific steps of demand analysis and business model building in S1 of the present invention;

[0047] Figure 3 Schematic diagram of the specific steps of data collection and integration in S2 of the present invention;

[0048] Figure 4Schematic diagram of the specific steps of data processing and analysis in S3 of the present invention;

[0049] Figure 5 A schematic diagram of the specific steps of developing and utilizing information-based teaching resources in S4 of the present invention;

[0050] Figure 6 This is a flow chart of specific steps of effect evaluation and feedback in S5 of the present invention;

[0051] Figure 7 Schematic diagram of the specific steps of security assurance and privacy protection in S6 of the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] like Figure 1 As shown, the present invention provides an information-based teaching resource method based on big data, and the steps of the method are as follows:

[0054] S1, Demand analysis and business model building: Demand analysis and business model building are key preliminary steps in the development of information-based teaching resources or project implementation. They lay a solid foundation for the success of the project;

[0055] S2, Data collection and integration: Data collection and integration are key links in big data analysis, which provide the basis for further analysis and mining of data;

[0056] S3, Data processing and analysis: Data processing and analysis is one of the core technologies in the field of big data, which involves the collection, storage, retrieval, processing, transformation, transmission, and in-depth analysis and mining of data;

[0057] S4, Development and utilization of information-based teaching resources: Information-based teaching resources refer to various resources that can support teaching activities and are developed and utilized through information technology means such as computers and networks;

[0058] S5, Effect evaluation and feedback: Effect evaluation and feedback is an important part of project management, which involves the process of systematically evaluating the impact and results of a project or plan after implementation;

[0059] S6, Security and privacy protection: Security and privacy protection are important aspects that cannot be ignored in the development and utilization of information-based teaching resources.

[0060] Among them, the push device based on the above-mentioned information-based teaching resource method is composed of a registration module, a demand analysis module, a database module and a push module.

[0061] The specific steps for demand analysis and business model building in S1 are as follows:

[0062] A1, clarify teaching objectives and needs:

[0063] A11, clarify teaching objectives and needs: clarify teaching objectives and resource construction needs based on education policies, school development plans, and the needs of students and parents;

[0064] A12, sort out business processes: sort out business processes such as teaching, management, and evaluation, and determine the key links of big data applications;

[0065] A13, Building a business model: Based on demand analysis, build a business model for information-based teaching resources, including data flow and functional requirements;

[0066] The specific steps of data collection and integration in S2 are as follows:

[0067] B1, Data Collection and Integration:

[0068] B11, determine the scope of data collection: collect basic data such as schools, students, teachers, courses, teaching facilities, and dynamic data during the teaching process;

[0069] B12, select data collection methods: adopt active data extraction, data reporting, and real-time data monitoring to ensure the comprehensiveness and accuracy of data;

[0070] B13, Data integration and storage: The collected data will be stored in a standardized format and a data center will be established to provide support for subsequent data analysis.

[0071] The specific steps for data processing and analysis in S3 are as follows:

[0072] C1, Data processing and analysis:

[0073] C11, data processing and analysis: clean the collected data, remove redundant and erroneous data, and convert the data format to ensure data availability;

[0074] C12, Data Analysis and Mining: Apply big data analysis technology to conduct in-depth mining of integrated data to discover patterns, trends and problems in the teaching process;

[0075] C13, establish data model: Based on the analysis results, establish a data model to provide decision support for optimizing teaching resources and improving teaching methods.

[0076] Among them, the specific steps for the development and utilization of information-based teaching resources in S4 are as follows:

[0077] D1, Development and utilization of information-based teaching resources:

[0078] D11, personalized learning resource push: Based on students’ learning data, analyze students’ learning characteristics and needs, and provide students with personalized learning resources and learning paths;

[0079] D12, construction of intelligent teaching system: using big data and artificial intelligence technology to build an intelligent teaching system to achieve real-time updating of teaching content and intelligent adjustment of teaching methods;

[0080] D13, Optimal allocation of teaching resources: Based on the results of data analysis, rationally allocate teaching resources to improve teaching efficiency and quality.

[0081] The specific steps of effect evaluation and feedback in S5 are as follows:

[0082] E1, effect evaluation and feedback:

[0083] E11, teaching effect evaluation: evaluate the application effect of information-based teaching resources through comparative experiments and questionnaire surveys;

[0084] E12, Feedback and Improvement: Based on the evaluation results, feedback from students, teachers, and parents is collected to continuously improve and optimize information-based teaching resources.

[0085] The specific steps of security and privacy protection in S6 are as follows:

[0086] F1, Security and Privacy Protection:

[0087] F11, Data security assurance: Establish a comprehensive data security assurance system to ensure the safe storage and transmission of data;

[0088] F12, Privacy protection: Strictly abide by relevant laws and regulations to protect the personal privacy information of students and teachers from being leaked.

[0089] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0090] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for information-based teaching resources based on big data, characterized in that: The steps of this method are as follows: S1, Demand analysis and business model building: Demand analysis and business model building are key preliminary steps in the development of information-based teaching resources or project implementation. They lay a solid foundation for the success of the project; S2, Data collection and integration: Data collection and integration are key links in big data analysis, which provide the basis for further analysis and mining of data; S3, Data processing and analysis: Data processing and analysis is one of the core technologies in the field of big data, which involves the collection, storage, retrieval, processing, transformation, transmission, and in-depth analysis and mining of data; S4, Development and utilization of information-based teaching resources: Information-based teaching resources refer to various resources that can support teaching activities and are developed and utilized through information technology means such as computers and networks; S5, Effect evaluation and feedback: Effect evaluation and feedback is an important part of project management, which involves the process of systematically evaluating the impact and results of a project or plan after implementation; S6, Security and privacy protection: Security and privacy protection are important aspects that cannot be ignored in the development and utilization of information-based teaching resources.

2. The intelligent push device for information-based teaching resources based on big data according to claim 1 is characterized in that: The push device based on the above-mentioned information-based teaching resource method is composed of a registration module, a demand analysis module, a database module and a push module.

3. The device and method for intelligently pushing information-based teaching resources based on big data according to claim 1, characterized in that: The specific steps of demand analysis and business model building in S1 are as follows: A1, clarify teaching objectives and needs: A11, clarify teaching objectives and needs: clarify teaching objectives and resource construction needs based on education policies, school development plans, and the needs of students and parents; A12, sort out business processes: sort out business processes such as teaching, management, and evaluation, and determine the key links of big data applications; A13, building a business model: Based on demand analysis, build a business model for information-based teaching resources, including data flow and functional requirements.

4. The device and method for intelligently pushing information-based teaching resources based on big data according to claim 1, characterized in that: The specific steps of data collection and integration in S2 are as follows: B1, Data Collection and Integration: B11, determine the scope of data collection: collect basic data such as schools, students, teachers, courses, teaching facilities, and dynamic data during the teaching process; B12, select data collection methods: adopt active data extraction, data reporting, and real-time data monitoring to ensure the comprehensiveness and accuracy of data; B13, Data integration and storage: The collected data will be stored in a standardized format and a data center will be established to provide support for subsequent data analysis.

5. The device and method for intelligently pushing information-based teaching resources based on big data according to claim 1, characterized in that: The specific steps of data processing and analysis in S3 are as follows: C1, Data processing and analysis: C11, data processing and analysis: clean the collected data, remove redundant and erroneous data, and convert the data format to ensure data availability; C12, Data Analysis and Mining: Apply big data analysis technology to conduct in-depth mining of integrated data to discover patterns, trends and problems in the teaching process; C13, establish data model: Based on the analysis results, establish a data model to provide decision support for optimizing teaching resources and improving teaching methods.

6. The device and method for intelligently pushing information-based teaching resources based on big data according to claim 1, characterized in that: The specific steps for developing and utilizing information-based teaching resources in S4 are as follows: D1, Development and utilization of information-based teaching resources: D11, personalized learning resource push: Based on students’ learning data, analyze students’ learning characteristics and needs, and provide students with personalized learning resources and learning paths; D12, construction of intelligent teaching system: using big data and artificial intelligence technology to build an intelligent teaching system to achieve real-time updating of teaching content and intelligent adjustment of teaching methods; D13, Optimal allocation of teaching resources: Based on the results of data analysis, rationally allocate teaching resources to improve teaching efficiency and quality.

7. The device and method for intelligently pushing information-based teaching resources based on big data according to claim 1, characterized in that: The specific steps of effect evaluation and feedback in S5 are as follows: E1, effect evaluation and feedback: E11, teaching effect evaluation: evaluate the application effect of information-based teaching resources through comparative experiments and questionnaire surveys; E12, Feedback and Improvement: Based on the evaluation results, feedback from students, teachers, and parents is collected to continuously improve and optimize information-based teaching resources.

8. The device and method for intelligently pushing information-based teaching resources based on big data according to claim 1, characterized in that: The specific steps of security assurance and privacy protection in S6 are as follows: F1, Security and Privacy Protection: F11, Data security assurance: Establish a comprehensive data security assurance system to ensure the safe storage and transmission of data; F12, Privacy protection: Strictly abide by relevant laws and regulations to protect the personal privacy information of students and teachers from being leaked.

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