Collaborative Creation and Training of Social Bots in Learning Communities The interaction between instructors and students is one of the key concepts to improve the studentu0027s learning process. To personalize learning on a massive scale, social bots can be used as supporting technology. However, their development for virtual learning environments currently requires deep technical knowledge. This leaves learner communities relying on highlyskilled developers to generate and tailor these social bots. Participatory design, enduser development and modeldriven principles bear the potential to close this technical gap. In this paper, we propose a modeldriven approach for creating social bots. Using our framework, learners can create, train and utilize these for selfhosted virtual learning environments relying on OpenAPI specifications offered, e.g. by Blackboard. We support both retrievalbased bots that react to certain events in predefined ways, as well as generative bots by utilizing open source deep learning technologies. Our first evaluation shows the usefulness of modeldriven generation and utilization of social bots. We see the potential of this approach to move the development closer to the actual learner.

Machine Education: Designing semantically ordered and ontologically guided modular neural networks The literature on machine teaching, machine education, and curriculum design for machines is in its infancy with sparse papers on the topic primarily focusing on data and model engineering factors to improve machine learning. In this paper, we first discuss selected attempts to date on machine teaching and education. We then bring theories and methodologies together from human education to structure and mathematically define the core problems in lesson design for machine education and the modelling approaches required to support the steps for machine education. Last, but not least, we offer an ontologybased methodology to guide the development of lesson plans to produce transparent and explainable modular learning machines, including neural networks.