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Smart Environments and Analytics on Video-Based Learning

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MOOCs are More Social than You Believe

Pierre Dillenbourg, Nan Li, Himanshu Verma, Afroditi Skevi

We report about two ongoing studies, which challenge the individualistic model of MOOC based learning. MOOC usage is embedded in the context of collocated study groups. The ability to pause a lecture and discuss its contents with peers creates learning opp ...

eLearning Papers2013

Personal Learning Environments as Enablers for Connectivist MOOCs

Denis Gillet

This paper presents how platforms initially designed to enable the construction of personal learning environments can help teachers and learners to aggregate their own MOOCs from resources freely available in the Cloud under Creative Commons licenses. Comp ...

2013

Leveraging over prior knowledge for online learning of visual categories

Barbara Caputo, Tatiana Tommasi, Mohsen Kaboli

Open ended learning is a dynamic process based on the continuous analysis of new data, guided by past experience. On one side it is helpful to take advantage of prior knowledge when only few information on a new task is available (transfer learning). On th ...

2012

Distributed learning via Diffusion adaptation with application to ensemble learning.

Ali H. Sayed

We examine the problem of learning a set of parameters from a distributed dataset. We assume the datasets are collected by agents over a distributed ad-hoc network, and that the communication of the actual raw data is prohibitive due to either privacy cons ...

2012

Mapping biological ideas: Concept maps as knowledge integration tools for evolution education

Beat Adrian Schwendimann

Many students leave school with a fragmented understanding of biology that does not allow them to connect their ideas to their everyday lives (Wandersee, 1989; Mintzes, Wandersee, & Novak, 1998; Mintzes, Wandersee, & Novak, 2000a). Understanding evolution ...

University of California, Berkeley2011

Open-Ended Learning of Visual and Multi-Modal Patterns

Jie Luo

A common trend in machine learning and pattern classification research is the exploitation of massive amounts of information in order to achieve an increase in performance. In particular, learning from huge collections of data obtained from the web, and us ...

EPFL2011

Open-ended Learning of Visual and Multi-modal Patterns

Jie Luo

Ecole polytechnique fédérale de Lausanne2011

Technology for Classroom Orchestration

Pierre Dillenbourg, Patrick Jermann

We use different criteria to judge teaching methods and learning environments as researchers and teachers. As researchers, we tend to rely on learning gains measured in controlled conditions. As teacher, the skilled management of classroom constraints resu ...

Springer Science+Business Media2010

Low-Resolution Ambient Awareness Tools for Educational Support

Pierre Dillenbourg, Frédéric Kaplan, Hamed Seiied Alavi, Khaled Bachour

We examine an approach in technology-enhanced learning that avoids deviation from existing pedagogical practices as these are often reluctant to change. This is accomplished by designing technology to augment learning activities that are already in common ...

2010

Enhancement of Geomatics Education by Using Internet Based Techniques

Pierre-Yves Gilliéron, Bertrand Merminod, Arnaud Deshogues

The Swiss Federal Institute of Technology in Lausanne (EPFL) has introduced the Moodle Learning Management System (LMS) in 2005. Since then, the number of teachers and users has increased rapidly. With more than 350 active courses hosted on Moodle for this ...

2010