Animatas is a H2020 MCS International Training Network involving 8 insitutions from Europe and several international partners (amoong which UNSW). The goal of the project is to investigate social learning and embodiement of autonomous agents in learning contexts.

Three aspects are investigated at EPFL with some collaborators:

  • Modelling Engagement in Collaborative Learning Scenario - Jauwairia

How can we build a group model of engagement? Can we quantify engagement with regard to learning and find the optimal engagement for the group of learners?

  • Mutual Understanding in Learner-Robot Interaction - Utku

Can we build an agent able to detect mis-understanding? to repair them or create them (for the sake of learning)?

  • Orchestration of Robot Populated Classroom - Sina

How to enable teachers to manage and monitor their classroom during robotics practical? What are the advantages and drawbacks of robots in the classroom in terms of teacher’s orchestration?


Learning By Collaborative Teaching: An Engaging Multi-Party CoWriter Activity

This paper presents the design of a novel and engaging collaborative learning activity for handwriting where a group of participants …

Orchestration of Robotic Activities in Classrooms: Challenges and Opportunities

Bringing robots into classrooms presents a new set of challenges for classroom management and teacher support compared to traditional …

Robot Analytics: What Do Human-Robot Interaction Traces Tell Us About Learning?

In this paper, we propose that the data generated by educational robots can be better used by applying learning analytics methods and …

The near future of children's robotics

Robotics is a multidisciplinary and highly innovative field. Recently, multiple and often minimally connected sub-communities of …