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Appropriation of a representational tool in a second-language classroom

Related publications (28)

Private and Secure Distributed Learning

The ever-growing number of edge devices (e.g., smartphones) and the exploding volume of sensitive data they produce, call for distributed machine learning techniques that are privacy-preserving. Given the increasing computing capabilities of modern edge de ...

EPFL2020

Automated Essay Scoring in Foreign Language Students Based on Deep Contextualised Word Representations

Martin Jaggi, Bojana Rankovic

We introduce a method for automated grading of handwritten essays written by foreign language learners of French. The handwriting recognition system allows digitising the essays for further processing and functions at a low character error rate. The transc ...

2020

Social practices in teacher knowledge creation and innovation adoption: a large-scale study in an online instructional design community for inquiry learning

Denis Gillet, Maria Jesus Rodriguez Triana

Social practices are assumed to play an important role in the evolution of new teaching and learning methods. Teachers internalize knowledge developed in their communities through interactions with peers and experts while solving problems or co-creating ma ...

2020

Towards the alignment of educational robotics learning systems with classroom activities

Christian Giang

The technological advances of the past years have impressively demonstrated that the digital age is no longer just a science fiction vision of the future - we are in the midst of it. The digital transformation is affecting many areas of our lives, includin ...

EPFL2020

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

Cover: A Cluster-Based Variance Reduced Method For Online Learning

Ali H. Sayed, Bicheng Ying, Kun Yuan

In this paper, we develop a stochastic-gradient learning algorithm for situations involving streaming data that arise from an underlying clustered structure. In such settings, the variance of gradient noise can be decomposed into the in-cluster variance si ...

IEEE2019

Tracing Teacher Collaborative Learning and Innovation Adoption: a Case Study in an Inquiry Learning Platform

Denis Gillet, Luis Pablo Prieto Santos, Maria Jesus Rodriguez Triana

Social processes play an important role in teachers' ongoing professional learning: through interactions with peers and experts to solve problems or co-create materials, teachers internalize knowledge developed in their communities. However, these social p ...

International Society of Learning Sciences2019

Real-world gait speed estimation using wrist sensor: A personalized approach

Kamiar Aminian, Hooman Dejnabadi, Martin Savary, Abolfazl Soltani

Gait speed is an important parameter to characterize people's daily mobility. For real-world speed measurement, inertial sensors or Global Navigation Satellite System (GNSS) can be used on wrist, possibly integrated in a wristwatch. However, power consumpt ...

2019