Title : Self-teaching robots

Presenter Kyrre Glette
Abstract Future robots will have more complex tasks and will be built of more complex materials than we see for today's robots. We envision that robots will make use of automatic design and learning processes to adapt to new and unforeseen situations. For example, maybe future robots may be able to 3D print body parts for repairing themselves, or for adjusting to a new environment. At the Robotics and Intelligent Systems group at the University of Oslo, we are interested in how we can apply evolutionary algorithms and other bio-inspired methods to tackle these challenges, and I will present some work we have done on automatically co-designing robot bodies and shapes.

Title : Assessing learner-constructed conceptual models and simulations of dynamic systems

Presenter Bert Bredeweg
Abstract Learning by conceptual modeling is seeing uptake in secondary and higher education. However, assessment of conceptual models is underdeveloped. This paper proposes a assessment method for conceptual models. The method is based on a metric that includes 36 types of issues that diminish model features. The approach was applied by educators and positively evaluated. It was considered useful and the derived grades corresponded with their intuitions about the models quality.