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.

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.