摘要
虚拟仿真实验平台利用计算机技术模拟实际操作场景,在工程实践教学中得到了广泛应用并取得了卓越成效。分析学生在虚拟仿真实验平台上的学习行为,探究学习行为与学习成就之间的潜在联系,对于发现个体差异、理解认知过程和提高工程实践教学效果均有重要意义。本研究以"数字电路"虚拟仿真课程为例,基于虚拟仿真实验平台记录的学生学习行为数据,采用统计、相关分析等方法,对虚拟仿真实验环境下学生学习行为特征进行定量分析,并采用回归分析法探讨了虚拟仿真实验环境下学生学习行为与学习成绩之间的关联,以期为教育教学提供一定参考。研究结果表明,在课程的大部分学习行为上学习者之间均存在着差异,且学习者Diagram、FSM、Properties、Study、Text Editor五种学习行为参与程度与学习成绩存在显著的正相关关系。其中,Properties是影响学习成绩的主要因素,教师可以根据Properties学习行为参与频次在一定程度上预估学生最终取得的学习成绩并及时进行干预。
Computer technology has been widely and effectively used to simulate actual operation in virtual simulation laboratories for practical engineering instruction.In order to identify individual differences,understand cognitive processes and improve effectiveness in practical engineering instruction,it is of great significance for learner behaviors to be analyzed in virtual simulation laboratory platforms,and for therelationshiptobeexploredbetweenlearnerbehaviorsandlearningresults.Usingresearch instruments of statistics,correlation analysis,qualitative analysis and regression analysis,and taking the case of a virtual simulation course Digital Circuits,this study focused on the learner behaviors in the virtual platform and their characteristics,analyzing the correlation between learner behaviors and learning results.The results show that learner behaviors vary very much,and there is a significant positive correlation between learners'five types of participation(Diagram,FSM,Properties,Study,Text Editor)and learning results.Properties are the key factor affecting learning results,through which teachers can monitor and intervene learner participation.
出处
《中国远程教育》
CSSCI
北大核心
2017年第9期11-18,共8页
Chinese Journal of Distance Education
基金
国家自然科学基金项目"基于多目标稀疏优化的多视图聚类方法"(项目编号:61503340)
浙江省自然科学基金项目"多视图聚类的进化多目标优化"(项目编号:LQ16F030008)的阶段性研究成果