人工智能驱动下探索的理工科高校教育教学融合的路径
Paths to Explore the Integration of Education and Teaching in Science and Engineering Colleges Driven by Artificial Intelligence

人工智能的高速发展冲击着高校传统教学方式的变革。人工智能技术赋能于高校教育，为高校带来技术红利的同时也面临着诸多问题。理工科高校作为为国家输送科技人才的重要领地，探索“人工智能 教育”的新兴教学模式具有重要意义。然而，由于价值认知存在偏差、师资数字素养存在偏差、教育实践与理想效果存在偏差等问题阻碍着高校教育教学的融合发展。基于此，本文对理工科高校在人工智能时代教育教学的融合中存在的问题进行分析，提出需在认知层面提出打破传统偏差，慎思问题、全面提升教师数字素养与技能和创新技术发展，从实践教学到理想模式的措施，为理工科高校更好的将人工智能融入教育教学中。
The rapid development of artificial intelligence has impacted the transformation of traditional teaching methods in colleges and universities. Artificial intelligence technology empowers college education and brings technological dividends to colleges and universities, but it also faces many problems. As an important territory for delivering scientific and technological talents to the country, science and engineering universities are of great significance to explore the emerging teaching model of “artificial intelligence education”. However, problems such as deviations in value perception, deviations in teachers’ digital literacy, and deviations between educational practice and ideal effects hinder the integrated development of education and teaching in colleges and universities. Based on this, this article analyzes the problems existing in the integration of education and teaching in the era of artificial intelligence in science and engineering universities, and proposes that it is necessary to break traditional biases at the cognitive level, think carefully about issues, and comprehensively improve teachers’ digital literacy and skills and the development of innovative technologies, so as to Measures from practical teaching to ideal models will help science and engineering colleges better integrate artificial intelligence into education and teaching.