Recherche

Afficher tous les résultats pour

Accueil

Personne

Pierre Dillenbourg

À propos
Confidentialité
Mentions légales

Graph Chatbot

Publications associées (268)

Haptic-Enabled Handheld Mobile Robots: Design and Analysis

Francesco Mondada, Pierre Dillenbourg, Ayberk Özgür, Wafa Monia Benkaouar Johal

The Cellulo robots are small tangible robots that are designed to represent virtual interactive point-like objects that reside on a plane within carefully designed learning activities. In the context of these activities, our robots not only display autonom ...

ACM2017

Windfield: Demonstrating Wind Meteorology with Handheld Haptic Robots

Francesco Mondada, Pierre Dillenbourg, Ayberk Özgür, Wafa Monia Benkaouar Johal

One of the main issues with the acceptance of robotic tools in schools is the extracurricular aspect of the learning activities using these robots. In the Cellulo project, we developed a novel robotic platform that aims to provide a ubiquitous, versatile a ...

ACM2017

Developing Learning Scenarios to Foster Children's Handwriting Skills with the Help of Social Robots

Pierre Dillenbourg, Shruti Chandra, Ana Paiva

Social robots are being used to create better educationalscenarios, boosting children’s motivation and engagement.The focus of the research is to explore new ways to supportchildren in acquisition of their handwriting skills with thehelp of a social robot. ...

2017

Building Successful Long Child-Robot Interactions in a Learning Context

Pierre Dillenbourg, Ana Paiva, Séverin Lemaignan, Alexis David Jacq, Fernando Garcia

The CoWriter activity involves a child in a rich and complex interaction where he has to teach handwriting to a robot. The robot must convince the child it needs his help and it actually learns from his lessons. To keep the child engaged, the robot must le ...

IEEE2016

A gaze-based learning analytics model: in-video visual feedback to improve learner's attention in MOOCs

Pierre Dillenbourg, Patrick Jermann, Hamed Seiied Alavi, Kshitij Sharma

In the context of MOOCs, “With-me-ness” refers to the extent to which the learner succeeds in following the teacher, specifically in terms of looking at the area in the video that the teacher is explaining. In our previous works, we employed eye-tracking m ...

ACM2016

Semi-Markov model for simulating MOOC students

Pierre Dillenbourg, Louis Pierre Faucon, Lukasz Kidzinski

Large-scale experiments are often expensive and time consuming. Although Massive Online Open Courses (MOOCs) provide a solid and consistent framework for learning analytics, MOOC practitioners are still reluctant to risk resources in experiments. In this s ...

2016

Permanent Magnet-Assisted Omnidirectional Ball Drive

Pierre Dillenbourg, Ayberk Özgür, Wafa Monia Benkaouar Johal

We present an omnidirectional ball wheel drive design that utilizes a permanent magnet as the drive roller to generate the contact force. Particularly interesting for novel human-mobile robot interaction scenarios where the users are expected to physically ...

IEEE2016

Towards Predicting Success in MOOCs: Programming Assignments

Pierre Dillenbourg, Patrick Jermann, Kshitij Sharma, Lukasz Kidzinski

Students of programming languages in massive on-line open courses (MOOCs) solve programming assignments in order to internalize the concepts. Programming assignments also constitute the assessment procedure for such courses. Depending on their motivation a ...

Books on Demand GmbH, Norderstedt2016

Using Mobile Eye-Trackers to Unpack the Perceptual Benefits of a Tangible User Interface for Collaborative Learning

Guillaume Zufferey, Sébastien Cuendet, Pierre Dillenbourg, Bertrand Roland Schneider, Kshitij Sharma

In this study, we investigated the way users memorize, analyze, collaborate, and learn new concepts on a Tangible User Interface (TUI). Twenty-seven pairs of apprentices in logistics (N = 54) interacted with an interactive simulation of a warehouse. Their ...

Assoc Computing Machinery2016

Shaping learners’ attention in Massive Open Online Courses

Pierre Dillenbourg, Patrick Jermann, Himanshu Verma, Kshitij Sharma, Daniela Caballero Díaz

We present an eye-tracking study in the context of Massive Open Online Course (MOOC) videos. We propose to use a pre-test as a way of priming students about the video content before they watch the video. In this study, we used two versions of the same pre- ...

2016

How to quantify student's regularity?

Pierre Dillenbourg, Kshitij Sharma, Mina Shirvani Boroujeni, Lorenzo Lucignano, Lukasz Kidzinski

Studies carried out in classroom-based learning context, have consistently shown a positive relation between students' conscientiousness and their academic success. We hypothesize that time management and regularity are main constructing blocks of students ...

Springer2016

From Real-time Attention Assessment to “With-me-ness” in Human-Robot Interaction

Pierre Dillenbourg, Séverin Lemaignan, Alexis David Jacq, Fernando Garcia

Measuring ``how much the human is in the interaction'' -- the level of engagement -- is instrumental in building effective interactive robots. Engagement, however, is a complex, multi-faceted cognitive mechanism that is only indirectly observable. This art ...

Ieee2016

A Tutorial on Machine Learning in Educational Science

Pierre Dillenbourg, Lukasz Kidzinski

Popularity of massive online open courses (MOOCs) allowed educational researchers to address problems which were not accessible few years ago. Although classical statistical techniques still apply, large datasets allow us to discover deeper patterns and to ...

Springer-Verlag Singapore Pte Ltd2016

Visual Augmentation of Deictic Gestures in MOOC Videos

Pierre Dillenbourg, Kshitij Sharma

We present an eye-tracking study to compare different modalities for visual augmentations of the teacher’s explicit deictic gestures on a video lecture. We compared three visualizations: 1) hand gestures with a pointer, 2) gaze overlay, and 3) no-augmentat ...

2016

Semiautomatic Annotation of MOOC Forum Posts

Pierre Dillenbourg, Weizhe Liu, Lukasz Kidzinski

Massive online open courses' (MOOCs') students who use discussion forums have higher chances of finishing the course. However, little research has been conducted for understanding the underlying factors. One of the reasons which hinders the analysis is the ...

Springer-Verlag Singapore Pte Ltd2016

Detecting Collaborative Dynamics Using Mobile Eye-Trackers

Guillaume Zufferey, Sébastien Cuendet, Pierre Dillenbourg, Bertrand Roland Schneider, Kshitij Sharma

: Prior work has successfully described how low and high-performing dyads of students differ in terms of their visual synchronization (e.g., Barron, 2000; Jermann, Mullins, Nuessli & Dillenbourg, 2011). But there is far less work analyzing the diversity of ...

2016

Children’s Peer Assessment and Self-disclosure in the Presence of an Educational Robot

Pierre Dillenbourg, Shruti Chandra, Ana Paiva, Séverin Lemaignan

Research in education has long established how children mutually influence and support each other's learning trajectories, eventually leading to the development and widespread use of learning methods based on peer activities. In order to explore children's ...

2016

The symmetry of partner modelling

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

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

Child-Robot Spatial Arrangement in a Learning by Teaching Activity

Pierre Dillenbourg, Ana Paiva, Alexis David Jacq, Wafa Monia Benkaouar Johal

In this paper, we present an experiment in the context of a child-robot interaction where we study the influence of the child-robot spatial arrangement on the child’s focus of attention and the perception of the robot’s performance. In the “Co-Writer learn ...

Ieee2016

Real-Time High-Accuracy 2D Localization with Structured Patterns

Francesco Mondada, Pierre Dillenbourg, Lukas Oliver Hostettler, Séverin Lemaignan, Ayberk Özgür

Building over algorithms previously developed for digital pens, this article introduces a novel 2D localization technique for mobile robots, based on simple printed patterns. This method combines high absolute accuracy (below 0.3mm), unlimited scalability, ...

IEEE2016

Page 7 sur 14