虚拟实验系统的自适应调节机制研究

Computerized Self-Adaptive Adjustment for Virtual Systems Laboratory Settings

为了提高学习效率,在虚拟实验系统中增加自适应调节功能,以便于根据实验参与者的学习能力自动调节教学实验情境和难度。将虚拟实验的教学应用以两方面界定,即强调知识准确积累的学习型系统和能力综合运用的培养型系统。结合各自特征,将学习者实验操作的正确率和时间间隔等反馈信息映射到沉浸理论中,分别提出相应的自适应调节策略,以实现基于反馈的动态平衡,对改善学习者在不同水平上的学习体验具有研究意义。

To increase the efficiency of learning, we describe the instructional application of virtual experi- ment by focusing on two types of learning systems which are knowledge-based learning system and ability-based training system. Feedbacks of learners,such as experimental operation accuracy and time intervals are mapped to flow theory. At last,we suggest self-adaptive adjustment strategies toward each learning systems which learners perceive significantly higher level of learning satisfaction.