Research on the Automation Integration Terminal of the Education Management Platform Based on Big Data Analysis

Abstract

Education is a dynamic system by which students perceive the factors necessary to fit them into the society. Education is mainly intentional learning that grooms individuals to achieve success in their adult lives. Evaluation of teaching techniques, course management (CM), communication, and student monitoring are the main characteristics of today’s education system. The aim to plan the curriculum of education management in both schools and colleges leads to the implementation of an MS-BDA. The development process for evaluation of teaching techniques and CM includes the use of the sentiment analysis method, which assesses the emotional feelings of students studying the course by managing curriculum quality. The big data analysis with MNN is developed by considering the communication and student monitoring system. This system evaluates the monitoring model provided in MS-BDA for assessing student communication on merging the voice-over with the communication language processing system. The simulation analysis is performed based on accessibility, adaptability, and efficiency, proving the proposed framework’s reliability. Therefore, the system outputs an accuracy of 99.1% when compared to the existing methods.

Implementing the Dynamic Feedback-Driven Learning Optimization Framework: A Machine Learning Approach to Personalize Educational Pathways

“…Another significant application of ML in education is the automation of administrative tasks [11]. Tasks such as grading and assessment traditionally consume considerable time, and resources are now being streamlined through ML algorithms.…”

Research on Visualization Platform of University Student Management under the Background of Big Data

“…In addition to information inquiry, browsing and classified statistics, a large number of statistical reports are used to study students' school behavior, assist students' management, and help other school administrators to carry out related management, as shown in Figure 3, such as monitoring the rationality and balance of network utilization rate, fault points and signal points through network behavior statistics, and supervising the layout and setting rationality of network infrastructure. In addition, the work is simplified and the efficiency is improved, which successfully solves the management problem that the number of college students is so large that it is out of balance with the grass-roots student managers year-on-year, overcomes some blind spots in management, and also provides decision support for the school leadership to optimize teaching resources and formulate a work plan in line with the actual situation of the school [10] .…”

International Law Protection of Cross-Border Transmission of Personal Information Based on Cloud Computing and Big Data

“…From the analysis of the international legal protection of cross-border transmission of personal information in digital trade from the three levels of bilateral norms, regional norms, and global norms, we can see that among the bilateral norms, the bilateral privacy agreement between Europe and the United States reflects a higher level of personal information protection [19]. In the regional norms, the relevant norms formulated by the EU and APEC give full play to their geographical advantages and form a joint force in the region to effectively regulate the crossborder transmission of information [20]; in the global norms, the personal information protection formulated by the WTO and the UN Norms is the most representative, providing a framework and model for national legislation [19,21]. ere are many deficiencies in the existing international protection methods for personal information.…”

“…e cross-border transmission of personal information has been paid more and more attention; firstly, China's efforts in cross-border information protection cannot be ignored. In recent years, China has used the Boao Forum, the Asian infrastructure open bank, the BRICs countries, and the Belt and Road initiative to carry out regional cooperation or rule negotiation on cross-border information flow, so as to enhance China's voice in this field [21]. But compared with other digital trading countries in the world, China lacks cooperation in cross-border information protection, unable to integrate with the international protection model.…”