Framework of Hurdle Technology Teaching Mode Based on “Internet+” Platform

Author(s):  
Dengfeng Zhang ◽  
Xinkai Zhang
2013 ◽  
Vol 373-375 ◽  
pp. 1231-1236
Author(s):  
Shan Bin Wang

Command ships driving simulation system based on existing virtual reality technology teaching conditions, mentioned about "teachers, students, simulation system" for the characteristics of ship driving command interactive teaching mode, built a simulation system, Simulation, computer network and multimedia technology etc as the foundation, connected to the innovative teaching mode of teaching and learning.


2020 ◽  
Vol 4 (10) ◽  
Author(s):  
Baoxun Wang

With the rapid development of information technology, the impact of the internet on education reformation is growing. Various courses in colleges and universities have gradually applied the combination of internet platform and course teaching to explain knowledge for students. In this context, literary psychology should also introduce information technology, and keep pace with the times, actively carry out practical teaching.


ASHA Leader ◽  
2011 ◽  
Vol 16 (11) ◽  
Author(s):  
Lisa Luna DeCurtis ◽  
Dawn Ferrer
Keyword(s):  

2020 ◽  
Vol 39 (4) ◽  
pp. 5699-5711
Author(s):  
Shirong Long ◽  
Xuekong Zhao

The smart teaching mode overcomes the shortcomings of traditional teaching online and offline, but there are certain deficiencies in the real-time feature extraction of teachers and students. In view of this, this study uses the particle swarm image recognition and deep learning technology to process the intelligent classroom video teaching image and extracts the classroom task features in real time and sends them to the teacher. In order to overcome the shortcomings of the premature convergence of the standard particle swarm optimization algorithm, an improved strategy for multiple particle swarm optimization algorithms is proposed. In order to improve the premature problem in the search performance algorithm of PSO algorithm, this paper combines the algorithm with the useful attributes of other algorithms to improve the particle diversity in the algorithm, enhance the global search ability of the particle, and achieve effective feature extraction. The research indicates that the method proposed in this paper has certain practical effects and can provide theoretical reference for subsequent related research.


2012 ◽  
Vol 3 (8) ◽  
pp. 173-176
Author(s):  
Ankita Ankita ◽  
◽  
Singh Rongen ◽  
Nayansi Nayansi

2020 ◽  
Vol 2 (4) ◽  
pp. 93-98
Author(s):  
Wang Jingyuan ◽  
Yuan Hongwei ◽  
Du Hua ◽  
Yu Huiling ◽  
Liu Xiulan
Keyword(s):  

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