User Study of Emotional Visualization Dashboard for Educational Software

Abstract

This paper describes a user study on the MADE Dashboard, our proposed data visualization dashboard that supports educators to inspect and reflect on the emotional states of students using web learning applications. Our goal was to support the system designer, and indirectly also teachers and students. Our dashboard follows affective learning models, and monitors online learner emotions. It uses an open source library that supports tracking of facial features and detection of emotions in real time, identifying six different emotions. We present a user study to determine whether the data visualization graph can be interpreted properly.

Course complexity in engineering education using E-learner's affective-state prediction

“…In a conventional classroom, the learners' emotions, lack of focus or inspiration and interest in a particular topic can be monitored dynamically. On the other hand, sentiment analysis becomes a major issue in digital learning platforms (GhasemAghaei et al, 2016). Even though E-learning platforms like Coursera offer convenient learning ways and plentiful qualitative courses around the globe, low completion rates and high enrollment are the major issues in this learning style (Liyanagunawardena et al, 2014).…”