Publications related to Temporal analysis of multimodal data to predict collaborative learning outcomes

Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

Machine learning models trained with passive sensor data from mobile devices can be used to perform various inferences pertaining to activity recognition, context awareness, and health and well-being. Prior work has improved inference performance through t ...

Assoc Computing Machinery2023

Temporal Pathways to Learning: How Learning Emerges in an Open-ended Collaborative Activity

Pierre Dillenbourg, Mortadha Abderrahim, Jauwairia Nasir, Aditi Kothiyal

The learning process depends on the nature of the learning environment, particularly in the case of open-ended learning environments, where the learning process is considered to be non-linear. In this paper, we report on the findings of employing a multimo ...

2022

Late Fusion of the Available Lexicon and Raw Waveform-based Acoustic Modeling for Depression and Dementia Recognition

Mathew Magimai Doss, Petr Motlicek, Subrahmanya Pavankumar Dubagunta, Julian David Fritsch

Mental disorders, e.g. depression and dementia, are categorized as priority conditions according to the World Health Organization (WHO). When diagnosing, psychologists employ structured questionnaires/interviews, and different cognitive tests. Although acc ...

ISCA-INT SPEECH COMMUNICATION ASSOC2021

Lifelong Machine Learning with Data Efficiency and Knowledge Retention

Fei Mi

Artificial intelligence (AI) and machine learning (ML) have become de facto tools in many real-life applications to offer a wide range of benefits for individuals and our society. A classic ML model is typically trained with a large-scale static dataset in ...

EPFL2021

Understanding teacher design practices for digital inquiry-based science learning: the case of Go-Lab

Denis Gillet, Maria Jesus Rodriguez Triana

Designing and implementing online or digital learning material is a demanding task for teachers. This is even more the case when this material is used for more engaged forms of learning, such as inquiry learning. In this article, we give an informed accoun ...

2021

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

Is There ‘ONE way’ of Learning? A Data-driven Approach

Pierre Dillenbourg, Jauwairia Nasir, Barbara Bruno

Intelligent Tutoring Systems (ITS) are required to intervene in a learning activity while it is unfolding, to support the learner. To do so, they often rely on performance of a learner, as an approximation for engagement in the learning process. However, i ...

2020

Multimodal person recognition in audio-visual streams

Do Hoang Nam Le

Multimedia databases are growing rapidly in size in the digital age. To increase the value of these data and to enhance the user experience, there is a need to make these videos searchable through automatic indexing. Because people appearing and talking in ...

EPFL2019

It is not either or: An initial investigation into combining collaborative and individual learning using an ITS

Jennifer Kaitlyn Olsen

Research on Computer-Supported Collaborative Learning (CSCL) has provided significant insights into why collaborative learning is effective and how we can effectively provide support for it. Building on this knowledge, we can investigate when collaboration ...

2019

Entity-based Classification of Twitter Messages

Karl Aberer, Surender Reddy Yerva, Zoltán Miklós

Twitter is a popular micro-blogging service on theWeb, where people can enter short messages, which then become visible to some other users of the service. While the topics of these messages varies, there are a lot of messages where the users express their ...

2012

Using Social Software for Teamwork and Collaborative Project Management in Higher Education

Denis Gillet, Sandy Ingram, Na Li

This paper discusses the potential role of social software in supporting teamwork and collaborative project management in higher education. Based on the fact that social software has been widely spread among young students nowadays, using it for collaborat ...

Springer2010

Tackling Engineering Education Research Challenges: Web 2.0 Social Software for Personal Learning

Denis Gillet

This paper focuses on Engineering Education Research on Technology Enhanced Learning carried out at the Swiss Federal Institute of Technology in Lausanne (EPFL), and on its current focus on personal and collaborative learning. After some thoughts on the di ...

Tempus Publications2010

The 3A Interaction Model and Relation-Based Recommender System : Adopting Social Media Paradigms in Designing Personal Learning Environments

Sandy Ingram

We live in a rapidly changing digital world marked by technological advances, and fraught with online information constantly growing thanks to the Internet revolution and the online social applications in particular. Formal learning acquired in traditional ...

EPFL2010

Automatic face analysis in static and dynamic environments

Matteo Sorci

Faces play a vital role in people's daily lives, as they are able to convey many different information and above all their behaviour and emotions. Therefore, for decades the face has been investigated by researchers in several fields such as computer scien ...

EPFL2009

Analysis of taste processing in rat gustatory cortex

Riccardo Accolla

Gustatory perception is a complex phenomenon involving the recognition of sensory properties of a food (taste modality and intensity, flavour, texture, fat content, temperature) as well as its reward value (pleasantness and nutritional value). The sense of ...

EPFL2007

Error handling in multimodal voice-enabled interfaces of tour-guide robots using graphical models

Plamen Prodanov

Mobile service robots are going to play an increasing role in the society of humans. Voice-enabled interaction with service robots becomes very important, if such robots are to be deployed in real-world environments and accepted by the vast majority of pot ...

EPFL2006