Mood-Driven Pervasive and Personal Learning Environment Model for Autistic Learners

With the emerging e-learning technologies, learning models are being developed to help us understand the integration of technologies in the learning process and how technology serves to enhance learning effectiveness. Each models provide a structure to the learning experience and a context in which learning material can be presented, enabling the learner to achieve optimal experience. Recognizing and interpreting a human's facial expressions or mood are an important challenge for computer vision in learning environment perspective today. Mood or emotions can have enormous effects on learning and play a vital role in decision making, managing learning activities, timing, and reflecting on the studies. The introduction of mood as context of a user opens up many opportunities for the design and development of learning system for autistic child. Children with cognitive disorders, such as autism or Asperger's syndrome (ASD) has been thought to be characterized by dysfunction in emotion, socially impaired and usually do not attend to the people around them. Thus, a special model to support learning of special children particularly the autistic learners is considered for their optimal engagement in any learning material in e-learning platform.