摘要
为探究VR学习环境下学习者交互行为的差异,文章从学习者特征分析和学习活动设计出发,设计了桌面式VR教学应用;同时,文章采用数据挖掘技术中的关联规则算法,以初中物理课程"电与磁"的教学为例,开展了VR应用交互实验。实验结果表明:不同体验度、性别和成绩表现的学生在交互行为上都存在差异,即高体验度的学生容易产生高拖拽、高点击和高场景转换的交互行为,男生在拖拽、点击和场景转换的交互行为方面比女生的频率高,高拖拽、高点击和高场景转换的交互行为容易导致学生成绩下降;数据挖掘技术的使用有助于更好地分析学生的交互行为。桌面式VR教育应用和学生交互行为的研究,可为提升虚拟现实教育应用的交互设计提供参考,并能在基于VR教育应用的课堂教学中给予学生更好的学习指导,从而让学生获得更好的学习体验、取得更好的学习效果。
In order to explore the differences of learners’interactive behaviors in the virtual reality(VR)learning environment,the paper designed the desktop VR teaching application from the learner characteristics analysis and the learning activity design.At the same time,using the association rule algorithm in data mining technology and taking the physics teaching of"electricity and magnetism"in the junior high school as the example,this paper carried out the VR application interactive experiments.The experimental results showed that there were differences in the interactive behaviors of students with different experience levels,genders and performances.That was,students with high experience levels were prone to generate interactive behaviors of high dragging,high clicking and high scene switching.Meanwhile,it was found that boys were more frequent than girls in interactive behaviors of dragging,clicking and scene switching.And the interactive behaviors of high dragging,high clicking and high scene switching could easily lead to the decline in students’performances.The use of data mining technology helped to better analyze students’interaction behaviors.The research of the desktop VR education application and student interaction behaviors could provide reference for improving the interactive design of the virtual reality education application,and give students better learning guidance in classroom teaching based on the VR education application,thus enabling students to get better learning experience and receive better learning effect.
作者
王子
杨冬
周筠
马小芳
WANG Zi;YANG Dong;ZHOU Yun;MA Xiao-fang(College of Education,Shaanxi Normal University,Xi’an,Shaanxi,China 710062)
出处
《现代教育技术》
CSSCI
北大核心
2020年第12期98-104,共7页
Modern Educational Technology
基金
国家自然科学基金项目“在线学习自适应交互中认知负荷与学习情绪的脑电表征及认知状态的评估与调整”(项目编号:61703259)资助。
关键词
桌面式VR教育应用
数据挖掘技术
交互行为
VR技术
初中物理
desktop VR education application
data mining technology
interactive behavior
VR technology
junior high school physics