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Analysis of Political and Ideological Systems in Education With Lightweight Deep Learning
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Author(s): Angela Diaz-Cadena (University of Guayaquil, Ecuador)and Miguel Botto-Tobar (Eindhoven University of Technology, The Netherlands)
Copyright: 2023
Pages: 18
Source title:
Convergence of Deep Learning and Internet of Things: Computing and Technology
Source Author(s)/Editor(s): T. Kavitha (New Horizon College of Engineering (Autonomous), India & Visvesvaraya Technological University, India), G. Senbagavalli (AMC Engineering College, Visvesvaraya Technological University, India), Deepika Koundal (University of Petroleum and Energy Studies, Dehradun, India), Yanhui Guo (University of Illinois, USA)and Deepak Jain (Chongqing University of Posts and Telecommunications, China)
DOI: 10.4018/978-1-6684-6275-1.ch012
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Abstract
As China's population grows, the country places a greater focus on the value of cultural education. A successful instructional approach includes ideological and political content within the context of cultural training. Students would do well to observe the facial expressions used by their lecturers in class to completely appreciate the themes being discussed and the strategies being used. A group of high school seniors from a Shanghai high school will take part in experimental research to determine the model's viability. The objective is to assess the effectiveness of education in the classroom is to conduct a poll with students and instructors to get a sense of their thoughts on the topic. More than half of the student body prefers competitions and lectures to other sorts of intellectual and political involvement in the classroom. This model's expression recognition accuracy is more than 2.9% greater than that of other models, and the model's improvement effect is incredible. The authors also investigated the influence of including experimentation in the quality evaluation process.
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