Application of Big Data, Blockchain, and Internet of Things for Education Informatization

The five-volume set LNICST 658-662 constitutes the proceedings of the 4th EAI International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2024, held in Beihai, China, during August 18–20, 2024. 

The 271 full papers included in these volumes were carefully reviewed and selected from 669 submissions. They are organized in the following topical sections: 

Part I: Application of Data Mining in Intelligence Education; Application of Ant Colony Algorithms in Intelligence Education; Application of Apriori Algorithm in Intelligence Education; and  Application of K-means clustering algorithm in intelligence education.

Part II: Application of K-means clustering algorithm in intelligence education; Application of Big Data in Intelligence Education; The Application of Computer in Intelligence Education; and Application of Model in Intelligence Education.

Part III: Application of Model in Intelligence Education; Application of Virtual Technology in Intelligence Education; Application of Network Platform in Intelligence Education; and The Application of Machine Learning in Intelligence Education.

Part IV: The Application of Machine Learning in Intelligence Education; Deep learning in Intelligence Education; Clouding Computing and blockchain in Intelligence Education; and Other intelligent algorithms in Intelligence Education.

Part V: Other intelligent algorithms in Intelligence Education.

.- Application of Model in Intelligence Education.

.- Construction of self-evaluation model of college media education based on deep learning.

.-  Construction of comprehensive quality evaluation model of college undergraduate education based on convolution neural network.

.- Combined with the support vector machine algorithm, the construction of student learning style classification and teaching strategy recommendation model.

.- A method for assessing the postural balance of martial arts athletes based on Higuchi’s analysis.

.- Application of Virtual Technology in Intelligence Education.

.- Research on the security and privacy protection of Virtual reality technologys in practice in teaching.

.- Design of algorithm immersive English teaching system based on VR technology.

.- Research on the construction of virtual simulation experimental teaching platform for economics and management in colleges and universities.

.- Practical Application of Virtual Reality Technology in Oral English Teaching.

.- Algorithmic immersive English teaching system based on VR technology.

.- The application of 3D virtual simulation training in vocational and technical education.

.- Development of the mining virtual reality teaching system based on Maya and Virtools.

.- Design analysis of intelligent English pronunciation training system based on Android platform.

.- Music Teaching Innovation Based on Artificial Intelligence Technology.

.- The Integration Path and Impact of Artificial Intelligence and Physical Education Curriculum Development Technology.

.- Research on the reform and practice of physical education teaching in colleges and universities based on artificial intelligence technology.

.-  Application analysis of artificial intelligence in the development of intelligent teaching system in colleges and universities.

.- Intelligent teaching system based on mobile terminal for legal education scenario simulation.

.- Optimization of College Physical Education Curriculum Management System and the Construction of Service Functions Based on Artificial Intelligence.

.- Knowledge graph construction and visualization technology of online courses for intelligent education.

.- The improvement of English teaching content through the cross-cultural iterative approach.

.- The design of the information talent training system of applied undergraduate engineering management based on knowledge embedding.

.- Application of Network Platform in Intelligence Education.

.- Design and implementation of the network education resource database system in colleges and universities.

.-  Scientific Research Construction and Management Based on Network Platform.

.- Research and implementation of web-based foreign language learning system platform.

.- Research on the Construction of University English Course Service Platform in Network Environment.

.- Research on the application of neural network in the analysis of college students’ mental health.

.- Research on the application of ANN algorithm in the construction of intelligent student management assessment information system.

.- Construction of intelligent evaluation system of college physical education based on multi-scale feature fusion network.

.- Application of personalized collaborative filtering recommendation algorithm in adult education network training course resources.

.- A Study on Promoting Deep Learning of Vocational Students by Online Peer Review Based on Cognitive Networks and Lag Sequence Analysis.

.- Research on the application of BP algorithm of neural network in teaching quality evaluation.

.- Research on English teaching in colleges and universities based on multimedia network technology combined with task teaching method.

.- Design of teaching system of college general writing course based on network information technology.

.- Research on the Design of Management Platform of Training Room of Higher Vocational Colleges Based on BP Neural Network.

.- Design and implementation of a Web-based quality evaluation system for the cultivation of diversified grassroots talents.

.- Design of Athletes’ Sports State Monitoring System Based on Artificial Neural Network Algorithm.

.- Research and application of higher education quality assessment algorithm by the Neural-like network architecture.

.- The evaluation algorithm of higher vocational industry-education integration based on convolution neural network.

.- Higher Vocational Preschool Education Teaching Evaluation System Based on BP Neural Network.

.- Evaluation of Physical Education Level in Higher Education Based on PCA-AHP-GABP Algorithm.

.- Evaluation and Improvement of Human Resources Training Effect Based on Basic Network Technology.

.- English pronunciation error detection and correction system based on artificial neural network.

.- English Network Independent Learning for College Students Based on ID3 Algorithm.

.- Design and implementation of intelligent platform for university cybersquatting training based on Django framework.

.- Design and development of college students’ English network self-learning based on decision tree algorithm.

.- Construction of Chinese graded reading resources based on network corpus.

.- Art teaching quality evaluation system based on convolution neural network.

.- Research on the application of smart education platform in classroom teaching.

.- Design And Implementation Of University English Self-Learning Platform Based On Constructive Teaching Mode.

.- Research on the Application of New Media Technology in Japanese Language Teaching.

.- Design and implementation of online dance teaching system.

.- Construction of a multi-dimensional dynamic college students’ innovation and entrepreneurship platform based on school-enterprise cooperation.

.- The Application of Machine Learning in Intelligence Education.

.- Design and Application of English Multi Modal Learning System Based on Machine Learning.

.- Architecture and Implementation of Intelligent English Speaking Evaluation System Based on Machine Learning.

.- Theoretical and practical discussion of machine learning algorithms in Japanese language teaching.

.- Teaching Research and Analysis of Intelligent Robot CNC Technology in Mechanical Manufacturing.

.- Research on early warning of comprehensive quality assessment of college students based on machine learning.

.- Personalized Assessment Algorithm For Preschool Education Based On Machine Learning.

.- Analysis Of College Students’ Mental Health Education Based On Machine Learning.

.- Research on English speech recognition based on deep machine learning.

.- Chinese word segmentation system based on statistical machine learning algorithm.

.- Automatic Error Recognition of Machine English Translation Based on Multi-feature Fusion.