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 III

Buch | Softcover

XVII, 526 Seiten

2024
Springer International Publishing (Verlag)
9783031631351 (ISBN)

Artikel merken

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.

.- Exploration of the application of computer-aided technology in intelligent translation.

.- The Application of Computer Intelligent Proofreading System in English Phrase Translation.

.- Machine translation based on neural network: a case study of est translation.

.- Modal Verbs in Learner Corpus Based on Feature Extraction Algorithm.

.- Design of English translation model for intelligent recognition of Fu tea culture based on improved GLR algorithm.

.- Accuracy Correction of English Translation Based on Fuzzy Clustering Algorithm.

.- Construction and Optimization of English Machine Translation Model Based on Hybrid Intelligent Algorithm.

.- Computer-assisted Korean translation is used in translation practice.

.- Design of vocabulary query system in computer aided English translation teaching.

.- Research on "online and offline" translation teaching mode based on Internet.

.- Research on English Chinese Translation System for Tourism Based on Globish.

.- Design of english translation model based on recurrent neural network.

.- Research on the application of computer aided translation in EST.

.- Research on the Construction of Computer Technology in English Translation Simulation Training Class.

.- Construction of business english translation teaching model in higher vocational colleges based on web-based learning platform.

.- Analysis Model of Learning Chinese as a Foreign Language Based on Random Forest Algorithm.

.- The application of neural network algorithms in intelligent teaching.

.- Research on the development of Japanese MOOC system based on BP neural algorithm.

.- Construction and evaluation of College Students' psychological education evaluation model based on joint neural network.

.- Human action recognition based on LSTM neural network algorithm.

.- Piano performance evaluation system based on neural network and its application in Piano Teaching.

.- Prediction method of College Students' negative emotion based on GA-BP neural network.

.- Application of ant colony algorithm in physical education teaching evaluation.

.- Design and implementation of college students' psychological prediction system based on BP algorithm.

.- Research on the application of BP neural network algorithm in the practical teaching of Public Physical Education in Colleges and Universities.

.- Research on the Prediction Model of Off campus Training Base in Fuzzy Neural Network Algorithm.

.- Construction of basic education informatization evaluation model based on deep neural network.

.- Construction of Virtual Simulation Teaching Resources for Tourism Major Based on Neural Network Algorithm.

.- Development and utilization of mathematics curriculum resources in primary school based on cyclic neural network.

.- Evaluation Algorithm of New Media Computer-aided Instruction System Based on BP Neural Network.

.- Optimization analysis of higher mathematics resources based on convolution neural network algorithm.

.- Research on remote dance motion capture evaluation system and dance Injury prevention based on intelligent terminal.

.- Comprehensive evaluation of students' self realization ability based on BP algorithm.

.- System Design of Student Self-Realization Ability Platform of P algorithm.

.- Application of artificial intelligence algorithms in the field of smart education.

.- Computer art pattern creation and p-filling algorithm.

.- Computer simulation of sports and design of auxiliary training system.

.- Applicati

Erscheinungsdatum	02.07.2024
Reihe/Serie	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Zusatzinfo	XVII, 526 p. 195 illus., 108 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-13	9783031631351 / 9783031631351
Zustand	Neuware