多模式智能教学系统教学模式选择自适应策略

Research of instruction pattern selecting adaptive tactic in multi-instruction-pattern ITS

多模式智能教学系统中教学模式的选择是非常重要的问题,提出了一种教学模式选择的自适应策略,用教学模式相适度算法取得适度值,并制订一系列规则微调原先的相适度,根据确定的有限自动机理论,构建了一个自适应决策系统,实现了教学模式选择的自适应。实验表明该策略是提高智能教学系统自适应性的一种有效方法。

It is one of critical issues to select a instruction pattern in multi-instruction-pattern ITS.An adaptive tactic on instruction pattern selecting is proposed,using adaptive algorithm of instruction pattern to obtain adaptive-values,and a series of rule is established to adjust the previous of adaptive-values.According to the theory of Deterministic Finite Automata,an adaptive decision-making system is set up,which can change the selection of instruction pattern dynamically.The experiment show that the tactic is a valid method on improving the adaptation in ITS.