E-learning, e-education, and online training : 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9-10, 2022, proceedings. Part II

E-learning, e-education, and online training : Part II / 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9-10, 2022, proceedings. Weina Fu, Guanglu Sun (eds.).

The two-volume set, LNICST 453 and 454 constitutes the proceedings of the 8th EAI International Conference on e-Learning, e-Education, and Online Training, eLEOT 2022, held in Harbin, China, in July 2022. The 111 papers presented in this volume were carefully reviewed and selected from 226 submissio...

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Bibliographic Details
Corporate Author: International Conference on e-Learning, e-Education, and Online Training Harbin, China
Other Authors: Fu, Weina (Editor), Sun, Guanglu (Editor)
Format: eBook
Language:English
Published: Cham : Springer, [2022]
Series:Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ; 454.
Subjects:
Internet in higher education > Congresses.
Educational technology > Congresses.
Educational technology
Internet in higher education
Electronic books.
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Description
Summary:The two-volume set, LNICST 453 and 454 constitutes the proceedings of the 8th EAI International Conference on e-Learning, e-Education, and Online Training, eLEOT 2022, held in Harbin, China, in July 2022. The 111 papers presented in this volume were carefully reviewed and selected from 226 submissions. This conference has brought researchers, developers and practitioners around the world who are leveraging and developing e-educational technologies as well as related learning, training, and practice methods. The theme of eLEOT 2022 was New Trend of Information Technology and Artificial Intelligence in Education. They were organized in topical sections as follows: IT promoted Teaching Platforms and Systems; AI based Educational Modes and Methods; Automatic Educational Resource Processing; Educational Information Evaluation. .
Item Description:International conference proceedings.
Includes author index.
Physical Description:1 online resource (xxii, 713 pages) : illustrations (some color).
Bibliography:References -- In Depth Mining Method of Online Higher Education Resources Based on K-Means Clustering -- 1 Introduction -- 2 Design of Deep Mining Method for Online Higher Education Resources based on k-mean Clustering -- 2.1 Mining Algorithm Operation Framework and Mining Tool -- 2.2 Data Preprocessing -- 2.3 Deep Excavation of Resources -- 3 Experimental Test -- 3.1 Test Environment -- 3.2 Training-Mining Dataset -- 3.3 Mining Performance Test -- 3.4 Excavation Time Test -- 3.5 Robustness Test -- 4 Conclusion -- References
ISBN:9783031211645
3031211642
Source of Description, Etc. Note:Print version record.

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