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.
Table of Contents:
.- Other intelligent algorithms in Intelligence Education.
.- The Application of Decision Tree Algorithm in the Employment Analysis of College Graduates.
.- Teaching Resource Storage Management and Its Search Algorithm Based on Grid Algorithm.
.- Optimal allocation of innovation and entrepreneurship education resources in colleges and universities based on PSO algorithm.
.- Health management evaluation algorithm for college students based on distributed multi-agent system.
.- Employment analysis and prediction of higher vocational students based on decision tree classification algorithm.
.- Data analysis of teaching management in higher vocational colleges based on decision tree algorithm.
.- Application of Depth-First Search Algorithm in Teaching Quality Monitoring and Management System of Colleges and Universities.
.- Analysis of the rational application of college English teaching to situation construction under association rule mining algorithm.
.- An Improved ID3 Algorithm and Its Application in University Public Physical Education.
.- Adaptive learning recommendation algorithm for vocational education under the background of artificial intelligence.
.- Analysis of the optimization algorithm in the thought of art education and the development direction of image AI.
.- Analysis on the rational application of English teaching in college construction under the correlation rule mining algorithm.