首页|Studies from Sichuan College of Architectural Technology Yield New Data on Intel ligent Systems (Research on the construction and reform path of online and offli ne mixed English teaching model in the internet era)
Studies from Sichuan College of Architectural Technology Yield New Data on Intel ligent Systems (Research on the construction and reform path of online and offli ne mixed English teaching model in the internet era)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New study results on intelligent systems have bee n published. According to news reporting from Deyang,People's Republic of China ,by NewsRx journalists,research stated,"The Internet era resulted in the rise and advancement of MOOK,WeChat,and mobile networks,making it possible to exp and English teaching methods." Our news journalists obtained a quote from the research from Sichuan College of Architectural Technology: "However,the English teaching industry has the proble m of not valuing students' personalized cognition,and the accuracy of teaching resource delivery is low. Therefore,the research uses the noise gate analysis m ethod to design a cognitive diagnostic model for students and designs an English teaching resource recommendation model in view of a convolutional joint probabi lity matrix (JPM) decomposition algorithm. The research results showed that the cognitive diagnostic model designed in the study had a higher accuracy. Compared to traditional algorithms,the overall recommendation effect of the English tea ching resource recommendation model had an average improvement of 11.63% and compared to the JPM algorithm combined with cognitive diagnosis (CD),the ov erall recommendation effect value had an average improvement of 1.977% . When recommending complex teaching resources,the recommendation effect value had an average improvement of 11.54% compared to traditional algor ithms,and the overall average improvement was 1.877% compared to the JPM algorithm combined with CD."
Sichuan College of Architectural Technol ogyDeyangPeople's Republic of ChinaAlgorithmsIntelligent SystemsMach ine Learning
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