高校素质教育实践的大数据应用探析  

Research on the Big Data Application for Practice of Quality Education in Colleges and Universities

作　　者：王秀芝[1] 宋迎法[1] 

机构地区：[1]中国矿业大学高等教育研究所,江苏徐州221116

出　　处：《教师教育论坛》2016年第7期38-42,共5页Teacher Education Forum

基　　金：中国高等教育学会大学素质教育研究分会立项课题"煤炭行业特色高校素质教育案例研究--中国矿业大学素质教育实践"(编号:CALE201665)研究成果

摘　　要：由于当前高校素质教育实践仍不全面、不系统、不深入,在素质教育决策、素质教育课程建设、校园文化活动和社会实践活动组织上仍面临诸多困境与挑战,在教育等多领域蓬勃发展的大数据可为素质教育实践的突破发展提供新的思路和技术支撑。本研究试图运用数据挖掘、人工智能、相关性预测等方法促使素质教育决策增加回应性和科学性,提高素质教育课程的新颖性和系统性,规避校园文化和社会实践活动的功利性,并建构一条体制机制完善、项目配套的大数据应用路径。Since the current practice of quality education in universities and colleges is still incomplete, unsystematic, and superficial. There are still many difficulties and challenges in quality education decision-making, curriculum, campus activities and social practice activities. Big Data may provide new ideas and technical support for the breakthrough in the develownent of quality education practice. This study attempts to use data mining, artificial intelligence, correlation forecasting methods to increase response of quality education scientific decision-making, improve novelty and systemic of curriculum, avoid social practice utilitarianism, and construct a sound institutional mechanism and a supporting big data application path.

关 键 词：素质教育 实践 大数据 数据 

分 类 号：G642[文化科学—高等教育学]