基于翻转课堂的大学生课前学习行为与学习效果研究--以《算法与数据结构》为例

Research on College Students’Learning Behavior and Learning Effect before Class Based on Flipped Classroom——A Case Study of Algorithm and Data Structure

本研究聚焦学生在翻转课堂的课前学习行为,旨在探究课前学习行为的特点及其与学业成就的关系。该研究以某大学《算法与数据结构》为目标课程,进行一学期的翻转课堂教学。研究发现,学生课前学习态度较端正,能认真完成学习任务;偏向于使用移动设备学习,有时间规划意识,但自控力较差;学习态度、自我控制、时间管理等因素对学习成绩影响较大。由此提出建议:学会制订学习计划、增强自控力,重视自主导学单,灵活运用学习策略等。

The research focuses on the students’learning behavior before class in the flipped classroom,aiming to explore the characteristics of learning behavior before class and its relationship with scholastic achievements.This research takes a college’s Algorithm and Data Structure as target course,and does a semester’s flipped classroom teaching.The research has found that:students have a rather proper learning attitude before class,and can finish learning tasks seriously;students are partial to use mobile equipment to study,and have time planning awareness,but their selfcontrol is rather weak;the elements like learning attitude,self-control and time management have a great influence on their learning results.Hence,some suggestions are put forward:learn to make learning plans,strengthen self-control,focus on autonomous guidance list,use learning strategies flexibly and etc.