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Expanding Eye-Tracking Methods to Explain the Socio-Cognitive Effects of Shared Annotations

Publications associées (86)

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Federated and decentralized learning have become key building blocks for privacy-preserving machine learning. Participation in these opaque federations may be better incentivized by transparent communication of each user's contribution. For real-world appl ...

2021

Desenvolvimento do capital social comunitário em assentamentos vulneráveis: a experiência da organização Teto (Techo) na Colômbia e no Brasil

Vitor Pessoa Colombo

This chapter describes the intervention model of the Latin American organization TECHO in vulnerable settlements through experiences in different communities: Altos Del Pino (Colombia), Jardim Gramacho (Brazil), and Malvinas (Brazil). In these diverse soci ...

Editora da Universidade Estadual da Paraíba2021

Predicting learners' effortful behaviour in adaptive assessment using multimodal data

Kshitij Sharma, Jennifer Kaitlyn Olsen

Many factors influence learners' performance on an activity beyond the knowledge required. Learners' on-task effort has been acknowledged for strongly relating to their educational outcomes, reflecting how actively they are engaged in that activity. Howeve ...

ASSOC COMPUTING MACHINERY2020

Binary dielectric metasurfaces are arrays of sub-wavelength structures that act as a thin layer of artificial material. They are generally lossless and relatively simple to fabricate since only a single structuring step is required. By carefully designing ...

EPFL2020

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 user ...

SPRINGER HEIDELBERG2020

Short-term field study programmes for developing interdisciplinary skills in engineering education

Florence Graezer Bideau, Roland John Tormey, Marc Laperrouza, Johanna Susette Gonçalves Martin, Eric Hoesli

Short-term field study involves groups of students working in an off-campus (sometimes international) setting, and often involves working on realistic, open-ended problems, in interaction with a host community. Such learning experiences are intended to dev ...

2019

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

Pierre Dillenbourg, Kshitij Sharma

IEEE2019

Learning a discriminative voice embedding allows speaker turns to be compared directly and efficiently, which is crucial for tasks such as diarization and verification. This paper investigates several transfer learning approaches to improve a voice embeddi ...

2019

A Deep Learning Approach for Robust Head Pose Independent Eye Movements Recognition from Videos

Jean-Marc Odobez, Rémy Alain Siegfried, Yu Yu

Recognizing eye movements is important for gaze behavior understanding like in human communication analysis (human-human or robot interactions) or for diagnosis (medical, reading impairments). In this paper, we address this task using remote RGB-D sensors ...

ACM2019

Interactive Teaching Algorithms for Inverse Reinforcement Learning

Volkan Cevher, Kamalaruban Parameswaran

We study the problem of inverse reinforcement learning (IRL) with the added twist that the learner is assisted by a helpful teacher. More formally, we tackle the following algorithmic question: How could a teacher provide an informative sequence of demonst ...

2019