Person

Mirweis Sangin

This person is no longer with EPFL

Related publications (12)

The symmetry of partner modelling

Pierre Dillenbourg, Nicolas Nova, Séverin Lemaignan, Mirweis Sangin, Gaëlle Molinari

Collaborative learning has often been associated with the construction of a shared understanding of the situation at hand. The psycholinguistics mechanisms at work while establishing common grounds are the object of scientific controversy. We postulate tha ...

Springer2016

Facilitating peer knowledge modeling: Effects of a knowledge awareness tool on collaborative learning outcomes and processes

Pierre Dillenbourg, Mirweis Sangin, Marc-Antoine Nüssli

We report an empirical study where we investigated the effects, on the collaborative outcomes and processes, of a cognition-related awareness tool providing learners with cues about their peer’s level of prior knowledge. Sixty-four university students part ...

Elsevier2011

Learning from animation enabled by collaboration

Pierre Dillenbourg, Mirweis Sangin

Animated graphics are extensively used in multimedia instructions explaining how natural or artificial dynamic systems work. As animation directly depicts spatial changes over time, it is legitimate to believe that animated graphics will improve comprehens ...

2010

Peer knowledge modeling in computer supported collaborative learning

Mirweis Sangin

Learners benefit from collaboration because it triggers effective interaction processes such as externalization, elicitation and negotiation of knowledge. In order to communicate effectively, learners need to have a certain representation of their peers' k ...

EPFL2009

Knowledge interdependence with the partner, accuracy of mutual knowledge model and computer-supported collaborative learning

Pierre Dillenbourg, Mirweis Sangin, Gaëlle Molinari

The present study is part of a project aiming at empirically investigating the process of modeling the partner’s knowledge (Mutual Knowledge Modeling or MKM) in Computer-Supported Collaborative Learning (CSCL) settings. In this study, a macro-collaborative ...

2009

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In this paper, we analyze complex gaze tracking data in a collaborative task and apply machine learning models to automatically predict skill-level differences between participants. Specifically, we present findings that address the two primary challenges ...

IEEE Press2009

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This study aims to explore the possibility of using machine learning techniques to build predictive models of performance in collaborative induction tasks. More specifically, we explored how signal-level data, like eye-gaze data and raw speech may be used ...

International Society of the Learning Sciences2009

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In an empirical study, we provided (or not) pairs of students working in a remote collaborative learning situation with a knowledge awareness tool that provided learner A with learner B’s level of knowledge measured through a pre-test. We analyzed the effe ...

Springer2008

The effects of animations on verbal interaction in computer supported collaborative learning

Pierre Dillenbourg, Mirweis Sangin, Gaëlle Molinari

This paper focuses on the interaction patterns of learners studying in pairs who were provided with multimedia learning material. In a previous article, we reported that learning scores were higher for dyads of an ‘animations’ condition than for dyads of a ...

2008

When Co-learners Work on Complementary Texts: Effects on Outcome Convergence

Pierre Dillenbourg, Mirweis Sangin

In this paper, we examined the effect of knowledge interdependence among co-learners on knowledge convergence outcomes. Prior to collaboration, two partners read the same text in the independent condition while each of them read one of two complementary te ...

Springer2008

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