Towards to Ubiquitous Affective Learning

Abstract

With the development of computer science, cognitive science and psychology, a new paradigm, affective learning, has emerged into e-learning/ubiquitous learning domain. Although scientists and researchers have achieved fruitful outcomes in exploring the ways of detecting and understanding learners affect, e.g. eyes motion, facial expression etc. in ubiquitous environment, it sounds still necessary to deepen the recognition of learners affect in learning procedure with innovative methodologies. Our research focused on using bio-signals based methodology to explore learner’s affect and the study was primarily made on Electroencephalography (EEG). For the purpose of evaluating our findings, we also developed an ubiquitous affective learning prototype. The result of experiment was encouraging and more theoretical and practical work should be investigated in this subject.