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

Third EAI International Conference, BigIoT-EDU 2023, August 29-31, 2023, Liuzhou, China, Proceedings, Part I

Buch | Softcover

XIX, 648 Seiten

2024
Springer International Publishing (Verlag)
978-3-031-63129-0 (ISBN)

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The five-volume set LNICST 580-584 constitutes the proceedings of the Third EAI International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2023, held in Liuzhou, China, during August 29-31, 2023.

The 272 full papers presented in these proceedings were carefully reviewed and selected from 718 submissions. With a primary focus on research fields such as Digitization of education, Smart classrooms and Massive Online Open Courses (MOOCs), these papers are organized in the following topical sections across the five volumes:

Part I: Application of data mining in smart education; Application of intelligent algorithms in English teaching.

Part II: Application of decision tree algorithm in intelligent management system of universities; Research on the application of Big data in smart teaching.

Part III: Exploration of the application of computer-aided technology in intelligent translation; Application of neural network algorithms in intelligent teaching; Application of artificial intelligence algorithms in the field of smart education.

Part IV: Research on smart teaching in deep learning; Research and application of recommendation algorithms in personalized intelligent education; Application of cloud computing in intelligent teaching resource library; Application research of computer-aided online intelligent teaching.

Part V: Application and practice of new media in smart teaching; Application of clustering algorithm in intelligent education resource library; Application of association rule algorithm in intelligent education system.

.- The Application of Data Mining in Smart Education.

.- Resource integration of university students' ideological and political schooling website based on data mining technique.

.- Design of creative writing courses in colleges and universities based on big data mining technology.

.- Student service group clustering and community model construction based on data mining technology.

.- The Application of Data Mining Algorithm in College Student Management.

.- Boosting algorithm and its Application in Secondary Chemistry Data Mining.

.- Research on the application of data mining technology in college teaching quality monitoring and evaluation system.

.- Data Mining Technology-Based Algorithms for Evaluating English Language Teaching Indicators.

.- Research on "Online and Offline" Intelligent Teaching Mode of Preschool Education Based on Data Mining Technology.

.- Design and application of teaching platform for foreign students' characteristic culture course based on Data Mining Technology.

.- Intelligent teaching mode of creative writing course in Colleges and Universities Based on Data Mining Technology.

.- Application of data mining simulation algorithm in physical education teaching evaluation.

.- Applied Analysis of Probability Theory and Mathematical Statistics in Data Mining.

.- The Application study of data mining technology in education management.

.- Exploration and Research on the diversified reform of experimental teaching methods of animal pathology in Applied Undergraduate Colleges.

.- Analysis on the teaching effect of college students based on data mining algorithm.

.- Application of Data Mining of Preschool Teachers' Information Literacy Based on Fuzzy Clustering.

.- College student reader model and its reading recommendation algorithm based on Data Mining.

.- Construction and Application of Digital College English Teaching Resources on the Basis of Data Mining.

.- Analysis and research of emotional education on College Students' Education Management under data mining technology.

.- Construction of Higher Vocational English autonomous learning information system based on Data Mining.

.- Design of college students management information system based on data mining technology.

.- Comparison of Students' Personality Differences based on Data Mining and its Application in the Innovation of Physical Education Teaching Methods.

.- Data Construction of Music Culture Communication Based on Data Mining Technology.

.- Data Mining of Chinese Language and Literature Education Based on Diversified Constraint Model.

.- Application of Data Mining in Physical Education experiment Teaching Guidance.

.- Research on data mining algorithm in university management informatization level evaluation model.

.- Research on the application of data mining technology in the quality data of technical college students in Higher vocational colleges.

.- Design and Implementation of Innovation and Entrepreneurship Experience System for College Students Based on Support Vector Machine.

.- The Construction of the Improvement System of Ideological, Political and Educational Effects of College Physical Education Courses Based on Data Discovery.

.- The Application of Intelligent Algorithms in English Teaching.

.- Implementation of Online+Offline Hybrid System for Tourism English Teaching Based on Sparse Clustering Algorithm.

.- Design and Implementation of Key Modules of English Teaching System Based on J2EE.

.- Design of higher vocational public English teaching platform based on genetic algorithm.

.- Evaluation of Business English Teaching Mode in the Context of Large Model Sample.

.- Evaluation of College English Teaching Quality Based on

Erscheinungsdatum	18.07.2024
Reihe/Serie	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Zusatzinfo	XIX, 648 p. 251 illus., 117 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Netzwerke
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Artificial Intelligence • Association Rules • Computer Hardware • Computer Networks • Computer Science • Computer systems • Curricula • Databases • Data Mining • Education • E-Learning • Engineering • information systems • Information Technology • Internet • learning • machine learning • Mathematics • Signal Processing • Teaching Practices
ISBN-10	3-031-63129-3 / 3031631293
ISBN-13	978-3-031-63129-0 / 9783031631290
Zustand	Neuware