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Pierre Dillenbourg

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Publications associées (268)

BloomGraph: Graph-Based Exploration of Bouquet Designs for Florist Apprentices

Pierre Dillenbourg, Kevin Gonyop Kim, Catharine Regina Monika Maria Oertel Genannt Bierbach

Exploring design space is an important process in finding solutions to a design task. In this paper, we present BloomGraph, an online application developed for florist apprentices to explore the space of bouquet designs. BloomGraph provides a graph-based i ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

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

Orchestration of Robotic Activities in Classrooms: Challenges and Opportunities

Pierre Dillenbourg, Wafa Monia Benkaouar Johal, Stian Haklev, Jennifer Kaitlyn Olsen, Sina Shahmoradi, Jauwairia Nasir, Utku Norman

Bringing robots into classrooms presents a new set of challenges for classroom management and teacher support compared to traditional technology-enhanced learning and has been left almost unexplored by the research community. In this paper, we present the ...

Springer, Cham2019

Designing Configurable Arm Rehabilitation Games: How Do Different Game Elements Affect User Motion Trajectories?

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Ayberk Özgür, Arzu Güneysu Özgür, Wafa Monia Benkaouar Johal, Friedhelm Christoph Hummel, Maximilian Jonas Wessel, Jennifer Kaitlyn Olsen

For successful rehabilitation of a patient after a stroke or traumatic brain injury, it is crucial that rehabilitation activities are motivating, provide feedback and have a high rate of repetitions. Advancements in recent technologies provide solutions to ...

IEEE2019

Towards an Adaptive Upper Limb Rehabilitation Game with Tangible Robots

Pierre Dillenbourg, Ayberk Özgür, Arzu Güneysu Özgür, Louis Pierre Faucon, Pablo Maceira Elvira, Wafa Monia Benkaouar Johal, Friedhelm Christoph Hummel, Maximilian Jonas Wessel, Andéol Geoffroy Cadic-Melchior

A key feature of a successful game is its ability to provide the player with an adequate level of challenge. However, the objective of difficulty adaptation in serious games is not only to maintain the player’s motivation by challenging, but also to ensure ...

2019

TIP: Tangible e-Ink Paper Manipulatives for Classroom Orchestration

Pierre Dillenbourg, Ayberk Özgür, Wafa Monia Benkaouar Johal, Hala Khodr, Alex The Duy Tran

While digital tools are more and more used in classrooms, teachers' common practice remains to use photocopied paper documents to share and collect learning exercises from their students. With the Tangible e-Ink Paper (TIP) system, we aim to explore the us ...

ACM2019

Discovery and Temporal Analysis of MOOC Study Patterns

Pierre Dillenbourg, Mina Shirvani Boroujeni

The large-scale and granular interaction data collected in online learning platforms such as massive open online courses (MOOCs) provide unique opportunities to better understand individuals' learning processes and could facilitate the design of personaliz ...

2019

Iterative Classroom Teaching

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Volkan Cevher, Louis Pierre Faucon, Shuqing Teresa Yeo, Kamalaruban Parameswaran

We consider the machine teaching problem in a classroom-like setting wherein the teacher has to deliver the same examples to a diverse group of students. Their diversity stems from differences in their initial internal states as well as their learning rate ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2019

Applying IDC theory to education in the Alps region: A response to Chan et al.’s contribution

Pierre Dillenbourg, Kevin Gonyop Kim, Shuqing Teresa Yeo, Jennifer Kaitlyn Olsen, Jauwairia Nasir

In this paper, we present a response to the Interest-Driven Creator (IDC) Theory from a European perspective. Specifically, we raise six questions intended to start a dialogue with respect to IDC Theory’s placement in existing learning theories, its adopti ...

2019

CoWriting Kazakh: Transitioning to a New Latin Script using Social Robots

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Wafa Monia Benkaouar Johal

In the Republic of Kazakhstan, the transition from Cyrillic towards Latin alphabet raises challenges to teach the whole population in writing the new script. This paper presents a CoWriting Kazakh system that aims to implement an autonomous behavior of a s ...

IEEE2019

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

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Laila Abdelsalam El-Hamamsy, Wafa Monia Benkaouar Johal, Jauwairia Nasir

This paper presents the design of a novel and engaging collaborative learning activity for handwriting where a group of participants simultaneously tutor a Nao robot. This activity was intended to take advantage of both collaborative learning and the learn ...

2019

A Comparison between Two Automatic Assessment Approaches for Programming: An Empirical Study on MOOCs

Pierre Dillenbourg, Patrick Jermann

Computer-graders have been in regular use in the context of MOOCs (Massive Open Online Courses). The automatic grading of programs presents an opportunity to assess and provide tailored feedback to large classes, while featuring at the same time a number o ...

2018

Discovery and Temporal Analysis of Latent Study Patterns from MOOC Interaction Sequences

Pierre Dillenbourg, Mina Shirvani Boroujeni

Capturing students' behavioral patterns through analysis of sequential interaction logs, is an important task in educational data mining to enable more effective personalized support during the learning process. This study aims at discovery and temporal an ...

2018

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

Iterative Design of an Upper Limb Rehabilitation Game with Tangible Robots

Francesco Mondada, Pierre Dillenbourg, Kshitij Sharma, Ayberk Özgür, Arzu Güneysu Özgür, Wafa Monia Benkaouar Johal, Friedhelm Christoph Hummel, Maximilian Jonas Wessel

2018

Multimodal teaching analytics: Automated extraction of orchestration graphs from wearable sensor data

Pierre Dillenbourg, Kshitij Sharma, Luis Pablo Prieto Santos, Maria Jesus Rodriguez Triana, Lukasz Kidzinski

2018

NONSTATIONARY MODELLING OF TAIL DEPENDENCE OF TWO SUBJECTS' CONCENTRATION

Valérie Chavez, Pierre Dillenbourg, Kshitij Sharma

2018

Orchestration Load Indicators and Patterns: n-the-Wild Studies Using Mobile Eye-Tracking

Pierre Dillenbourg, Kshitij Sharma, Luis Pablo Prieto Santos, Lukasz Kidzinski

2018

Do Children Perceive Whether a Robotic Peer is Learning or Not?

Pierre Dillenbourg, Hang Yin, Shruti Chandra, Ana Paiva

Social robots are being used to create better educational scenarios, thereby fostering children's learning. In the work presented here, we describe an autonomous social robot that was designed to enhance children's handwriting skills. Exploiting the benefi ...

ASSOC COMPUTING MACHINERY2018

Sensitivity To Perceived Mutual Understanding In Human-Robot Collaborations

Pierre Dillenbourg, Ana Paiva, Alexis David Jacq

In order to collaborate with humans, robots are often provided with a Theory of Mind (ToM) architecture. Such architectures can be evaluated by humans perception of the robot's adaptations. However, humans sensitivities to these adaptations are not the one ...

ASSOC COMPUTING MACHINERY2018

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