Recognizing student emotions using software agent technology

The issue of recognizing emotions and measuring the intensity of it imposed on many applications, as well as the procedures attached to compute it pose a major challenge. In this book, we explore the significance of recognizing embedded emotions with intensity in agent-based systems and deploy it to a lecturer evaluation process. In particular, the research investigates an accurate and effective approach to support the recognizing of students' emotions and its intensity towards their lecturer performance. We begin the research by conducting questionnaires on the student-lecturer domain to collect data in accordance with multiple emotions, from which the emotions of stakeholders in the domain are studied. A proof-of-concept prototype of an effective interface is developed and evaluated in terms of affectivity of the students' emotions in this domain. In this research, we study the control-value theory of achievement emotions that applied in a questionnaire design and BDI model that presented in JACK agent platform to develop the prototype.