Confused, Bored, Excited? An Emotion Based Approach to the Design of Online Learning Systems

Abstract

Technology has somewhat challenged typically conservative higher education systems to change and move with the times. Current popular methods of classroom delivery technology or systems include MOOCs, Clickers, learning analytics and dashboard systems. Some systems now form basic building blocks of electronic learning such as Moodle, Blackboard etc. While online learning has taken higher education by storm, its effectiveness is arguable. Interestingly, many researchers believe that the holy grail of technologically enhanced tools in higher education lies in the replication of actual human aspects in the classroom. This paper attempts to address one of the missing but crucial natural elements in the online learning environment – emotion. While most current online teaching and learning systems often process user data through simple decisions using true or false processes i.e. understand or do not understand input, natural human communication is far more complex and rich. Communication involves emotions that can range from bored, excited, interested, confused, distracted, frustrated, angry, etc. In a classroom environment, scanning and assessing student behaviour and expressions enable a teacher to quickly change teaching strategies or pinpoint individuals who need special attention. This paper argues for emotion based online learning systems by discussing the merits of emotion based learning systems, highlighting current key research and advancements in emotion recognition systems, and outlining a proposed methodology and model for the study and implementation of such a system in higher education.