The development of Internet information technology has opened up new potential for the education sector, encouraging the development of innovative teaching and learning methods as well as the optimal use of available educational resources. In this environment, the online plus offline mixed teaching model emerged, which can not only get around time and space restrictions and link smoothly inside and outside the classroom but also enhance the form of teaching and learning and strengthen teacher-student relationships. However, to assure the quality of instruction, this research first examines the successful ways of developing an online plus offline hybrid teaching mode from the perspective of college English professors. Second, in this paper, the support vector machine and particle swarm method are used to build an evaluation model of the English teaching effect. The model has the potential to increase the accuracy and efficiency of English teaching impact evaluation while also meeting the standards of English teaching effect evaluation. The experimental findings show that, while evaluating the effects of college English instruction, the technique beats the comparison algorithm in terms of evaluation accuracy and algorithm time consumption.

中文翻译：

---

计算机技术环境下的英语教学模式

互联网信息技术的发展为教育部门开辟了新的潜力，鼓励创新教学方法的发展以及现有教育资源的优化利用。在这样的环境下，线上+线下的混合教学模式应运而生，不仅可以绕过时间和空间的限制，实现课堂内外的顺畅衔接，还可以提升教与学的形式，加强师生关系。然而，为了保证教学质量，本研究首先从大学英语教授的角度考察了发展线上+线下混合教学模式的成功途径。其次，在本文中，采用支持向量机和粒子群方法建立英语教学效果评价模型。该模型有可能提高英语教学效果评价的准确性和效率，同时满足英语教学效果评价的标准。实验结果表明，在评估大学英语教学效果时，该技术在评估准确率和算法耗时方面均优于对比算法。