数据驱动下的线上线下混合式一流课程建设探究

Research on the Construction of Online and Offline Blended First-Class Based on Data

课程建设作为提高教学水平和人才培养质量的重要措施,既是教学改革的深水区,亦是人才培养的发力点。利用数据驱动,从更新教学内容、创新教学模式和重构课程评价等核心环节探讨一流课程建设。更新教学内容应遵循“由外向内”的反向设计原则;借助学习平台可创新使用TIL“讲授+自主”、TIP“讲授+自主+项目”、SIL“研讨+自主”和PBL“项目式”四种典型的混合式教学模式;依据学情数据重构课程多元评价体系并建立课程学业预警。在此基础上,结合课程实施案例探索一流课程建设,以期为课程建设提供有益的实践经验。

As an important measure to improve the teaching level and talent training quality,First-Class construction is not only the deep end of teaching reform,but also the starting point of talent training.This study is a data-driven exploration of curriculum construction from the core links of updating curriculum teaching content,innovating teaching mode and reconstructing curriculum evaluation.Firstly,teaching content is updated under the principle of the“outside-in”reverse design;Secondly,four typical blended teaching modes aided by the network platform are innovated:TIL“Teaching+Independent Learning”,TIP“Teaching+Independent learning+Project”,SIL“Seminar+Independent Learning”and PBL“Project-based Leaching”;Finally,based on learning data,the curriculum multi-evaluation system is rebuilt and learning early warning is established.Through practical cases of specific courses,it is expected to provide some useful exploration and practical experience for relevant curriculum construction.