Adaptive E-learning for Supporting Motivation in the Context of Engineering Science

Current e-learning environments rely on adaptive user-centered approaches rather than static learning material, that is presented to the learner in a linear way, to maintain motivation and prevent learning blocks. The goal of the research project "SensoMot - Sensor Measures of Motivation for Adaptive Learning" is to detect critical motivational incidents based on sensor data and self-reports. By deriving suitable adaptation mechanisms, the learning process should be controlled to match the learner's motivation. Learning blocks should be detected at an early stage by means of unobtrusive, non-reactive sensors and the learning contents should be adapted accordingly. The focus of the present study is especially on the adaptation in e-learning for supporting motivation in the context of engineering science.