Publications associées à Imitation Learning in Discounted Linear MDPs without exploration assumptions

Small Variance Asymptotics for Non-Parametric Online Robot Learning

Small variance asymptotics is emerging as a useful technique for inference in large scale Bayesian non-parametric mixture models. This paper analyses the online learning of robot manipulation tasks with Bayesian non-parametric mixture models under small va ...

2019

Stimuli-based Gaze Analytics to Enhance Motivation and Learning in MOOCs

Pierre Dillenbourg, Kshitij Sharma

The interaction with the various learners in a Massive Open Online Course (MOOC) is often complex. Contemporary MOOC learning analytics relate with click-streams, keystrokes and other user-input variables. Such variables however, do not always capture lear ...

IEEE2019

A Blueprint for a Blockchain-Based Architecture to Power a Distributed Network of Tamper-Evident Learning Trace Repositories

Denis Gillet, Maria Jesus Rodriguez Triana, Juan Carlos Farah, Andrii Vozniuk

The need to ensure privacy and data protection in educational contexts is driving a shift towards new ways of securing and managing learning records. Although there are platforms available to store educational activity traces outside of a central repositor ...

2018

Discovering Interaction Patterns in Online Learning Environments : A Learning Analytics Research

Mina Shirvani Boroujeni

The increasing amount of data collected in online learning environments provides unique opportunities to better understand the learning processes in different educational settings. Learning analytics research aims at understanding and optimizing learning a ...

EPFL2018

Learner-Computer Interaction

Pierre Dillenbourg, Kshitij Sharma

Learner-Computer Interaction (LCI) research addresses the design, development and use of interactive technologies to support and amplify human learning. LCI is based on the rationale that learning while interacting with technology is a complex, multi-layer ...

ASSOC COMPUTING MACHINERY2018