Track / Overview

The track on AI & Learning Analytics brings together researchers, developers, and practitioners interested in analyzing and reporting on data to support and improve learning. Learning Analytics sits at the intersection of the learning sciences and computational data capture and analysis. Within this track, we will place emphasis on work that applies machine learning and other analytical techniques to solve applied issues within education. We are interested in work that makes methodological and empirical contributions to learning analytics including computational techniques and tools as well as learning analytics being used in practice and their impact on learning.

Track / Schedule

Modeling and Prediction of User Performance and Behavior in Computer-Based Learning Environments

With Tanja Käser

Dynamically predicting progress rate and completion time of students during activities in classrooms

With Louis Faucon

Automated human-level diagnosis of dysgraphia using a consumer tablet

With Wafa Johal

Socially-Aware Learning Spaces

With Himanshu Verma

Coffee Break

Trustworthy Machine Learning for Formative Feedback

With David Adamson

Iterative classroom teaching

With Teresa Yeo & Louis Faucon

Towards Bridging the Gap between Theory and Practice: On the Use of Socially Aware Conversational Agents in Vocational Education

With Catharine Oertel

Combining Multiple Data Streams to Inform Collaborative Student Learning Processes

With Jennifer Olsen

Track / Speakers

Tanja Käser

Assistant Professor, EPFL IC & Senior Data Scientist, Swiss Data Science Center, ETH Zurich

Jennifer Olsen

PostDoc, EPFL

Teresa Yeo

PhD Student, EPFL

Louis Faucon

PhD Student, EPFL

Wafa Johal

PostDoc, EPFL

Himanshu Verma

Senior Researcher, University of Fribourg

David Adamson

Principal Machine Learning Scientist, Turnitin

Catharine Oertel

PostDoc, EPFL

Track / Co-organizers

Pierre Dillenbourg

Professor, EPFL

Jennifer Olsen

PostDoc, EPFL

AMLD EPFL 2019 / Tracks & talks

AI & Environment

Mikhail Kanevski, Vasily Demyanov, Sylvain Coutu, Maria Schönholzer, Walter Jetz, Grant van Horn, Saman Halgamuge, Antonino Marvuglia, Dan Assouline, Bojie Sheng, Sebastian Sippel, Alexis Berne, Michele Volpi, Maxim Samarin

13:30-17:00 January 2809:00-12:30 January 293BC

AI & Cities

Mohamed Kafsi, Cristina Kadar, Alex “Sandy” Pentland, Valentine Goddard, Daniel Gatica-Perez, Piotr Mirowski, Niklas Goby, Christopher Nowzohour, Stephen Goldsmith

13:30-17:00 January 284BC

AI & Computer Systems

Kevin Smeyers, Michael Papamichael, Andreas Moshovos, Hadi Esmaeilzadeh, Svetlana Levitan

09:00-12:30 January 294BC

AMLD / Global partners