DBIS

In our recently started project tech4comp, we focus on scalable mentoring processes. To support mentors with the tools they need to provide adaptive and personalized tutoring, a set of learning services was developed and is currently under development. With the multisensor data fusion framework we aim at capturing learner experiences beyond Web-based solutions. Therefore, we use augmented reality learning experience models (ARLEM) to enhance the learning process by tracking user activities with different sensors. A second application, called the Distributed Noracle is used as a learner reflection tool, realized as a distributed, question-based dialog framework for inquiry-based learning. All of these services utilize our flagship peer-to-peer community platform las2peer as technical foundation. It comes with build-in social bot support, enabling both students and mentors to create customized bots that interact with the learning services. Finally, the whole learning experience can be monitored using las2peer’s service evaluation suite called MobSOS.

Currently, all of these services display their data individually. The combination of the available multimodal data should provide an aggregated view on the student’s progress, supporting the mentor with the information needed to guide and nudge the student into the right direction. The goal of this thesis is thus to develop a mentoring cockpit for multimodal mentoring tool support.