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Artificial Intelligence and Edge Computing Technology Promote the Design and Optimization of Flipped Classroom Teaching Models for Higher Vocational, Ideological, and Political Courses

Authors :
Lu Zhang
Pingping Wei
Yawei Zhang
Na Wang
Source :
Mobile Information Systems.
Publication Year :
2022
Publisher :
Hindawi, 2022.

Abstract

Technology has made life simpler for every human being, irrespective of educational qualifications and sector of work. The education sector in the current modern era is revolutionized by technology. Teaching and understanding theoretical subjects like ideological and pedagogical education (IaPE) has become simple with technologies like artificial intelligence (AI), edge computing (EC), and flipped classrooms. These are unique technologies in the education sector to make classroom learning more manageable by creating concepts in digitization and visualization with audiovisual technologies. In recent research, many authors have proposed models for IaPE through ideological and pedagogical teaching (IaPT) for different courses in vocational colleges and universities. Some researchers have designed a hybrid model with IaPT and analyzed the results as an extension to this teaching method. This research work introduced AI and EC technologies to the flipped classroom to promote higher vocational education in colleges and universities for IaPE. With digitization and visualization in course material preparation, AI aids in an interactive classroom study. On the other hand, EC aids in the easy storage and accessing of the resources prepared through AI. The analysis work is performed on the dataset from the unique client identifier (UCI) repository by proposing a novel optimization algorithm for flipped classrooms.

Details

Language :
English
ISSN :
1574017X
Database :
OpenAIRE
Journal :
Mobile Information Systems
Accession number :
edsair.doi.dedup.....e997a076b2ccb6d79b1e3d15e119815d
Full Text :
https://doi.org/10.1155/2022/5385386