A computational system approach to develop student's based emotion system: An alternative feedback tool for lecturers to enhance teaching and learning

Abstract

In Higher Education learning environment, managing students learning means managing emotions. This paper presents the efforts in recognizing student's emotion to promote interactive teaching learning atmosphere in a Higher Education environment. As to now not many variety of tools provided to help lecturers to assess their teaching, our research suggests a new system to help lecturers to identify whether their teaching style has positive impact on students by recognizing student's emotion in the class. This system propose the positive class emotion (as result of positive student's emotion) to encourage lecturers to retain their teaching style or vice versa. This software is considered as Emotion Based System to enhance teaching and learning. In this paper we compare some of the existing works and identify how emotions can be modeled in order to enhance the system services and response by suggesting meaningful information to users. We also define and discuss the appropriate capacity of meaningful information to generate analysis and recommendations according to theory of teaching and learning. We do our experiments in INTI International University Malaysia involving approximately 300 students from various faculties.