Learning Analytics (Uni Analytics)

We believe that machines can help humans teach and learn better. That is why we combine artificial intelligence and machine learning with insights from the learning sciences to better understand what people know and how they learn.

The CHILI lab (Computer-Human Interaction in Learning and Instruction) follows two approaches: developing new learning technologies that produce novel sources of data on how people teach and learn, and using machine learning and statistical methods to unlock the insights that are hidden in these sources of data.

CHILI develops novel technologies designed to support teaching and learning, with a focus on learning in team settings. Many of the technologies created provide the ability to capture novel sources of data on how individuals teach and learn together. In addition to traditional statistical methods, the use of Learning Analytics helps making sense of the data.

By using state-of-the-art methods from machine learning and artificial intelligence, CHILI uncovers insights about how people teach, how people learn, and how technologies are best able to support teaching and learning. These methods have helped us understand the learning process across a wide variety of educational settings and with a variety of different technologies, including with educational robotics, in online learning environments, and when using tangible user interfaces.

 

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Learning Analytics (Uni Analytics)

We believe that machines can help humans teach and learn better. That is why we combine artificial intelligence and machine learning with insights from the learning sciences to better understand what people know and how they learn.

The CHILI lab (Computer-Human Interaction in Learning and Instruction) follows two approaches: developing new learning technologies that produce novel sources of data on how people teach and learn, and using machine learning and statistical methods to unlock the insights that are hidden in these sources of data.

CHILI develops novel technologies designed to support teaching and learning, with a focus on learning in team settings. Many of the technologies created provide the ability to capture novel sources of data on how individuals teach and learn together. In addition to traditional statistical methods, the use of Learning Analytics helps making sense of the data.

By using state-of-the-art methods from machine learning and artificial intelligence, CHILI uncovers insights about how people teach, how people learn, and how technologies are best able to support teaching and learning. These methods have helped us understand the learning process across a wide variety of educational settings and with a variety of different technologies, including with educational robotics, in online learning environments, and when using tangible user interfaces.

 

Want to find out more?

Analyse de l’apprentissage (Uni Analytics)

Nous pensons que les machines peuvent aider les humains à mieux enseigner et apprendre. C’est pourquoi nous combinons l’intelligence artificielle et l’apprentissage automatique avec les connaissances des sciences de l’apprentissage pour mieux comprendre ce que les gens savent et comment ils apprennent.

Le laboratoire CHILI (interaction homme-machine dans l’apprentissage et l’enseignement) suit deux approches : développer de nouvelles technologies d’apprentissage qui produisent de nouvelles sources de données sur la façon dont les individus enseignent et apprennent, et utiliser l’apprentissage automatique et des méthodes statistiques pour débloquer les informations qui se cachent derrière ces sources de données.

CHILI développe de nouvelles technologies conçues pour soutenir l’enseignement et l’apprentissage, en mettant l’accent sur l’apprentissage en équipe. Bon nombre des technologies créées offrent la possibilité de capturer de nouvelles sources de données sur la façon dont les individus enseignent et apprennent ensemble. En plus des méthodes statistiques traditionnelles, l’utilisation de Learning Analytics aide à donner un sens aux données.

En utilisant des méthodes de pointe issues de l’apprentissage automatique et de l’intelligence artificielle, CHILI découvre des informations sur la façon dont les personnes enseignent, comment elles apprennent et comment les technologies sont à même de soutenir l’enseignement et l’apprentissage. 

Ces méthodes nous ont permis de comprendre le processus d’apprentissage dans une grande variété de contextes éducatifs et avec une variété de technologies différentes, y compris avec la robotique éducative, dans des environnements d’apprentissage en ligne et lors de l’utilisation d’interfaces utilisateur tangibles.

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