试析大数据思维与案例教学的耦合性

The Interconnection between Big Data Thinking and Case Teaching

大数据思维是一种发现信息、获取属性、洞悉关联和快速决策、预测事物发展并具有系统性和整体性特征的新型思维方式。案例教学是一种通过对某种现实情况的模拟与假设,使学生身临其境地融入案例设计的场景和问题之中,并通过广泛讨论去思考和解决问题的教学方法。大数据思维不仅有助于选择合适的案例、帮助案例教学形成系统的逻辑链,提升案例教学的效果,而且为案例教学带来了全新的思维方法,二者具有内在的耦合性。对这一耦合性的分析能拓展大数据思维的应用领域和空间,也极大地提升了案例教学的质量和效果,形成相互耦合、相互促进的整体性逻辑。

Big data thinking is a new systematic and global way of thinking that helps to discover information,acquire attributes,gain insight into correlations,make rapid decisions,and forecast developing trend.Case teaching is a teaching method that enables students to be immersed in the scenarios designed through simulation and assumptions of a real situation,and to reflect and eventually find solutions to problems through extensive discussion.Both are interconnected with each other.The former not only helps to select appropriate cases and form a systematic logic chain so as to improve the teaching quality,but also blazes a trail in the latter.The analysis of their interconnection,on the one hand,can expand fields of the application of big data thinking,and on the other hand greatly improve the quality and effect of case teaching,forming a global logic of mutual interconnection and promotion.