Data Mining in Teaching Quality Analysis: A Case Study in College English Teaching

2009 ◽  
Author(s):  
Yang Wu ◽  
Hailiang Huang
2020 ◽  
Vol 13 (3) ◽  
pp. 77 ◽  
Author(s):  
Cao Meng-yue ◽  
Li Dan ◽  
Wang Jun

College English teaching is supposed to cover both language acquisition and culture learning due to the close relationship between language and culture, taking cultural teaching as an indispensible part of college English courses. With the rapid integration of information technology and English curriculum, artificial intelligence has brought new opportunities to college English teaching, and college English cultural teaching methods are now faced with new innovations. In the age of intelligence, to promote teaching quality and learning effect, artificial intelligence technology can be embedded in English teaching practice, exerting its technical advantages and frontier characteristics. In consideration of integrated developing tendency of college English cultural teaching model and modern information technology, the paper is aimed to design and build up an intelligence-aided system so as to extend the depth and width of the application of modern information technology in college English cultural teaching as well as to exploit the great application potential of modern information technology in college English cultural teaching, thus opening a new way and presenting a direction for college English cultural teaching.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Shengfen Wang ◽  
Wei Hu ◽  
Yuan Lei

The current college English online teaching mode is mainly based on the traditional online MOOC teaching, which has some problems such as poor interaction. Under the mixed background, this paper studies the online college English teaching model based on the Gaussian mutation genetic algorithm and neural network algorithm. Firstly, it briefly introduces the general situation of network English teaching and the hybrid application of the Gaussian mutation genetic algorithm. Through the investigation and test analysis of students before and after class, the experiment evaluates students’ network teaching quality in many aspects. On this basis, a better teaching quality evaluation model is proposed. Finally, the practical application shows that the model in this paper is very feasible. In the end, students have higher enthusiasm and seriousness in the hybrid context of college English online teaching based on the dual algorithm. English teaching quality can make use of each student’s test scores in English classroom. This paper realizes the overall teaching through real-time dynamic tracking. Quantitative indicators are used to sort the influence degree of English classroom teaching indicators, which can effectively evaluate the quality of English classroom teaching.


2020 ◽  
Vol 4 (7) ◽  
Author(s):  
Haiyan Zhao

This paper first makes an overview of blended teaching mode, and then analyzes the impact of the epidemic on college English teaching and the necessity of carrying out online live teaching. Finally, taking the current situation of online teaching in Universities in X city as an example, this paper puts forward some suggestions on Blended college English teaching based on online live teaching during the epidemic period, hoping to contribute to the improvement of teaching quality with a modest effort.


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