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.

中文翻译：

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建构主义下计算机辅助技术在英语学习中的创新应用

为了提高大学英语课堂教学的效果，本文结合光学识别改进机器视觉算法，利用计算机光学视觉技术对教学图像进行处理。本文设计的系统可以应用于大学英语课堂的哲学教学。此外，该系统可以通过本文改进的机器视觉算法优化教学资源，管理教学课堂，并具有形成性评价效果。此外，考虑到学生在课堂上的心理活动，本文将大学生的情感认知融入到系统的构建中。进一步结合实际教学过程，构建了基于建构主义的大学英语课堂教学体系。最后，本文设计了一个实验来分析该教学模式的效果。从研究结果可以看出，该教学系统满足了教学需求。