Abstract
In order to improve the effect of college English classroom teaching, this paper combines optical recognition to improve machine vision algorithms and uses computer optical vision technology to process teaching images. The system designed in this paper can be applied to philosophical teaching in college English classrooms. Moreover, the system can optimize teaching resources, manage teaching classrooms through the improved machine vision algorithm in this paper, and have a formative evaluation effect. In addition, taking into account the psychological activities of students in the classroom, this paper integrates the emotional recognition of college students in the construction of the system. Furthermore, it combines the actual teaching process to build a college English classroom teaching system based on constructivism. Finally, this paper designs an experiment to analyze the effect of the teaching model. From the research results, it can be known that the teaching system meets the demands of teaching.
Highlights
Under the background of the integration of the world economy, the role of English for college students is selfevident. e continuous advancement of information technology promotes the change of English teaching methods
Conclusion e current English teaching method is relatively single. e teaching process still uses the traditional teaching mode, so the teaching mode still has certain drawbacks. is paper uses computer-assisted technology in college English classrooms to construct an efficient teaching system based on constructivism
It can be used for college English teaching and conducts system performance analysis through experimental research. e proposed model is mainly used for font recognition in network teaching, so it needs to apply image recognition technology
Summary
Received 27 May 2021; Revised 16 July 2021; Accepted 24 July 2021; Published 2 August 2021. In order to improve the effect of college English classroom teaching, this paper combines optical recognition to improve machine vision algorithms and uses computer optical vision technology to process teaching images. E system designed in this paper can be applied to philosophical teaching in college English classrooms. The system can optimize teaching resources, manage teaching classrooms through the improved machine vision algorithm in this paper, and have a formative evaluation effect. Taking into account the psychological activities of students in the classroom, this paper integrates the emotional recognition of college students in the construction of the system. It combines the actual teaching process to build a college English classroom teaching system based on constructivism. This paper designs an experiment to analyze the effect of the teaching model. It can be known that the teaching system meets the demands of teaching
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