关键词: E-Learning, 情感模型, 情感计算, 推荐策略

Abstract:

This thesis divides learners' learning affect based on dimensional affective model, and introduces the method of affective semantics to quantitatively show learning affect and learners' character, and then recommends that the content should be studied and increases the interaction between learners and computers after the process of combining affective computing value and the degree of knowledge difficulty. This thesis also puts forward the plan of affective semantics based on affective model, to develop the existing learning system and diversify the recommendation of characteristic strategy, so as to improve the interaction of the system, and thus the effectiveness of the system is improved. In the end, the goal of serving the learners is fulfilled.

Key words: E-Learning, affective model, affective computing, recommendation strategy