Moodle and affective computing : knowing who´s on the other side
Manuel Rodrigues, Florentino Fdez‐Riverola, Paulo Nováis · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2011
In traditional learning, teachers can easily get an insight into how their students work and learn, and how they interact in the classroom. However, in online learning, it is more difficult for teachers to see how individual students behave and learn, and very important, their mood to do it. Student’s emotions like self-esteem, motivation, commitment, and others that are believed to be determinant in student’s performance can not be ignored, as they are known (affective states and also learning styles) to greatly influence student´s learning. This paper deals with the student’s behavioural and affective aspects in virtual learning environments to enhance the students’ learning, gain and experience. The goal is to achieve a similar performance to a skilled teacher that can modify the learning path and his teaching style according to the feedback signals provided by the students - which include cognitive, emotional and motivational aspects. This can be done through the recognition of students actual mood, and we propose a framework to implement and address such issues in Moodle.