摘要/Abstract

《教育部关于推进高等职业教育改革创新引领职业教育科学发展的若干意见》（教职成〔2011〕12号）文件提出，鼓励和支持高等职业学校加强国际交流与合作，积极参与职业教育国际标准和规则的研究与制定，积极开展中外合作办学，引进优质教育资源，提升办学水平。本文基于中外合作跨境“2+2”双文凭项目（会计）的建立与认证课题，通过将数据挖掘技术应用于大学英语教学质量分析之中，试图发现、显化隐藏在教学过程中影响大学英语教学质量的重要因素群，为教学质量分析和有针对性改进教学提供一种新的思路和方法，以期构建大数据背景下更为科学

《The Ministry of Education document about suggestion on promoting higher occupational education reform & innovation as well as leading occupational education development》（occupational〔adult〕education〔2011〕No. 12）indicates that international communication and cooperation should be encouraged and supported among higher educational school so as to take part in setting its international standards & rules, increase its international influence, introduce high-quality educational resources, and improve education quality. The thesis is based on the Project of Sino-foreign Certificate Award, utilizing data mining to discover and display the elements groups that affect English teaching quality, further providing a new pattern in quality analysis & teaching improvement to construct a more scientific, objective & specific quality evaluation system under the background of “Big Data Era”.