“人工智能+教育”背景下地方高校双语课程智慧课堂建设路径研究

Research on the Construction Method of Bilingual Curriculum in Local Universities under the Background of "Artificial Intelligence+Education"

随着5G时代的来临,大数据、人工智能必将迎来一轮更大的发展。人工智能技术在教育领域中得到了广泛应用,推动了教学的变革。目前,我国中外合作办学项目开展得如火如荼,已经成为国内高等教育不可或缺的组成部分。双语教学质量是关系到地方高校中外合作办学项目生存和发展的关键因素。该文从大数据、人工智能的角度出发,对如何在人工智能时代下提高地方高校中外合作办学双语教学的质量进行了探讨。该文提出了基于全面质量管理PDCA循环理论的教学质量提高框架。基于这个框架,分“教学计划”“教学实施”“教学评估”“教学改进”这4个阶段分别探讨了人工智能在教学当中的一些可能的应用,并对如何利用其提高教学质量提出了一些对策。

With the advent of the 5G era, big data and artificial intelligence are bound to usher in a round of greater development. Artificial intelligence technology has been widely used in the field of education, which has promoted the reform of teaching. At present, China’s Sino foreign cooperative education projects are in full swing and have become an indispensable part of domestic higher education. The quality of bilingual teaching is a key factor for the survival and development of Sino foreign cooperative education projects in local universities. From the perspective of big data and artificial intelligence, this paper discusses how to improve the quality of bilingual teaching in local universities in the era of artificial intelligence. This paper puts forward a teaching quality improvement framework based on PDCA cycle theory of total quality management. Based on this framework, this paper discusses some possible applications of artificial intelligence in teaching in four stages of "teaching plan", "teaching implementation", "teaching evaluation" and "teaching improvement", and puts forward some countermeasures on how to use it to improve teaching quality.