基于云模型的5E在线学习情感体验分析方法

Yumin Zheng, Chaowang Shang, Cheng Feng, Han Yue
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引用次数: 0

摘要

5E在线学习是整合教学的主要形式,5E在线学习的情感体验是学习者学习投入的重要体现。本文以Ekman理论模型为基础,以云的面积为主要参数,设计并开发了以“快乐、放松、焦虑、惊讶、悲伤、无聊”六个维度的5E在线学习情感体验云模型。确定表征学习者情感体验的特征向量和观察函数,对学习者的5E在线学习情感体验进行评价。提高学习者的5E在线学习能力,优化在线教学过程的评价。本文以mooc为例,运用云模型对学生情绪进行评价,并通过具体数据验证其有效性。该方法丰富了在线学习者的情感计算和表征方法,为当前的多模态情感分析研究提供了参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Analysis Method of 5E Online Learning Emotional Experience based on Cloud Model
5E Online learning is the main form of integrated teaching, and the emotional experience of 5E online learning is an important embodiment of learners’ learning input. Based on the Ekman theoretical model, this paper designs and develops a cloud model of 5E online learning emotional experience with the six dimensions of “happy, relaxed, anxious, surprised, sad, and boredom which takes the area of the cloud as the main parameter. It determines the characteristic vectors and observation functions that characterize the learner’s emotional experience and evaluates the learner’s 5E online learning emotional experience. Otherwise, it promotes the learner’s 5E online learning ability and optimizes the evaluation of the online teaching process. Taking MOOCS as an example, this paper applies the cloud model to evaluate students’ emotions and verifies its effectiveness through specific data. This method enriches the methods of emotion calculation and characterization for online learners and provides a reference for the current multi-modal sentiment analysis research.
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