根据在学习中可能产生的情感提取了5个情感特征,引入心理学理论生成情绪感受性矩阵,通过学习者不同的气质类型向量得出个性化的情感向量,更真实地体现了学习者的情感状态,根据学习者不同的情感及情感强度推荐学习不同难度的知识,使得学习更人性化.气质类型是基于希波克拉底的体液理论发展而来的气质学说,气质类型可以良好的表达人的人格基础.将气质类型引入E-Learning中的情感计算,可以更好地对学习者的性格、学习状态进行分类,切实做到因材施教.%This paper extracts five emotional features according to the emotions that may affect in learning, and introduces psychological theory to generate emotional susceptibility matrix and to draw personalized emotion vector by different learners' temperament type vectors,which all reflect the emotional state of the learners more realistically. This paper also recommends learners of different emotions and emotional intensity to learn the knowledge of different levels of difficulty, making learning more humane. Temperament type is a temperament doctrine evolved based on the Hippocratic humoral theory and can be a good expression of human personality foundation. Temperament type has been introduced into affective computing in the E-Learning in this paper so that computer can be better on the classification of the learners personality and learning state and realistically be individualized.
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