行为投入是最重要的投入因素之一，在虚拟现实（VR）环境中，学习者的深度学习效果是否受到行为投入的影响、如何检视其影响机制与影响程度都值得深入探究，也备受学界关注。深度学习效果评价模式的构建是以新知理解为基础，并细化出内部关联迁移和外部拓展迁移。将虚拟现实学习环境Avatar作为研究背景，采用眼动行为研究与认知行为研究相结合的研究范式，可以用眼动行为实验解释深度学习机制，并用认知行为实验测量深度学习效果，实验结果呈现出行为投入对深度学习效果中的内部关联迁移与外部拓展迁移，产生了显著促进作用。这一研究成果，为设计符合深度学习需求的学习环境与学习媒体提供了依据。%Behavior engagement is one of the most important input factors in the learning engagement, which directly affected deep learning effect. The evaluation model of deep learning effect is established to refine internal related transfer and external extend-ed transfer based on new knowledge comprehension. The empirical study was based on the virtual reality learning environment Avatar classroom. The paradigms in the empirical study combined the eye movement experiments and the cognitive behavior experiments. The eye movement experiments explained deep learning mechanisms and the cognitive behavior experiments measured the deep learning effects of these subjects who learned with different levels of behavioral engagement. Research results showed that deep learning effect including internal related transfer and external extended transfer can be promoted by behavior engagemented. The results of this study provided the basis for designing the learning environment and learning medium which could meet the needs of deep learning.
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