Title: Improving Online Education Systems Based on the Emotions and Personal Type

Issue Number: Vol. 5, No. 2
Year of Publication: Jun - 2019
Page Numbers: 36-47
Authors: Azade Mohammadi, Mohammad Kazemifard, Jahangir karami
Journal Name: The International Journal of E-Learning and Educational Technologies in the Digital Media (IJEETDM)
- Hong Kong

Abstract:


With fast development of technology, e-learning has become one of the most popular education models and everyone can employ it without time and spatial constraints; but this type of education is not sufficiently dynamic because the system only plays the role of a simple media for transferring knowledge. While psychological studies show that personal characteristics like emotion and personal type play an important role in all aspects of life including learning. Thus, in order to increase efficiency of this type of education, these two important factors should be considered in electronic education. In this study, we try to identify user emotion from touching behavior of the user on touch devices like tablets or smartphones. In addition to ability to detect emotion, online education system should be able to improve negative emotions of users. This is not as easy as showing a few images or playing a music but it is a professional task which is different for different users which have their own characteristics. One of the important personal characteristics of human is personal type. In this study touching behavior patterns of the user is used to specify the user’s emotion then the negative emotions is improved considering of their personal type. Statistical results show that we detect boredom, frustration and anxiety with 90%, 79% and 65% Precision and also improve the user efficiency significantly with our proposed method. Statistical sample includes 51 men and women from Razi University of Kermanshah between 2016-2017.