基于深度学习的高职混合式教学模式研究

Research on the Blended Teaching Mode in Higher Vocational Colleges Based on Deep Learning

伴随着信息技术的快速发展,结合当前后疫情时代的特点,目前各高职院校均已开展混合式教学。混合式教学融合了线上线下教学的优点,但是“伪学习”现象普遍存在。文章研究了深度学习视角下混合式教学设计及教学实施情况,提炼出基于深度学习的混合式教学模式——以岗位任务为驱动,课前进行线上自主学习,课中进行任务展示评价、问题研讨,课后进行任务拓展巩固、多元评价、反思修正。调查分析结果表明,课堂效率得到了提升,减少了“伪学习”现象,实现了预期的教学目标。

With the rapid development of information technology,combined with the characteristics of the current post-epidemic era,at present,higher vocational colleges have carried out blended teaching which integrates the advantages of online teaching and offline teaching,but the phenomenon of“pseudo-learning”is widespread.This paper studies how to carry out the teaching design and teaching activities of blended teaching from the perspective of deep learning,refines a blended teaching mode based on deep learning,which is divided into three stages of before class,in class,and after class driven by job tasks,that is online autonomous learning before class,display and evaluation of tasks and discussion of problems in class,and expansion of tasks for knowledge consolidation,pluralistic evaluation and reflection after class.Through the investigation and analysis of the experimental results,it shows that classroom efficiency has been improved,pseudo-learning has been reduced,and the expected goal has been achieved.