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Semantically Annotated Lesson Observation Data in Learning Analytics Datasets: a Reference Model

Publications associées (61)

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Semi-automatic annotation of MOOC forum posts

Pierre Dillenbourg, Lukasz Kidzinski, Weizhe Liu

Massive online open courses’ (MOOCs’) students who use discussion forums have higher chances of finishing the course. However, little research has been conducted for understanding the underlying fac- tors. One of the reasons which hinders the analysis is t ...

2015

Applying Learning Analytics to a Primary School Classroom: Benefits and Barriers

Maria Jesus Rodriguez Triana

There are numerous proposals and solutions that aim to apply Learning Analytics (LA) in authentic scenarios. Many of them have been applied successfully in learning contexts where adults are involved. However, when we try to transfer such proposals to unde ...

2015

Transfer Learning through Greedy Subset Selection

Barbara Caputo, Ilja Kuzborskij

In this work we study the binary transfer learning problem involving 10^2 -10^3 sources. We focus on how to select sources from the large pool and how to combine them to yield a good performance on a target task. In particular, we consider the transfer lea ...

Idiap2015

Towards teacher-led design inquiry of learning

Maria Jesus Rodriguez Triana

This paper proposes “teacher-led design inquiry of learning” as a new model of educational practice and professional development. This model combines four existing models. It integrates teacher inquiry into student learning, learning design, and learning a ...

2014

Perceptual Learning With Indiscriminable Stimuli

Lukasz Grzeczkowski, Fred Mast, Elisa Tartaglia

Perceptual learning is learning to perceive. For example, in a bisection task three parallel lines are presented. The central line is slightly offset towards the right or the left outer line. Observers indicate the offset direction. Training greatly improv ...

2014

Special issue on: Learning Analytics (Editorial)

Maria Jesus Rodriguez Triana

With the general technological advances of the recent years, current learning environments amass an abundance of data. Albeit such data offer the chance of better understand the learning process, stakeholders – learners, teachers and institutions – often n ...

2013

Active learning for monitoring network optimization

Devis Tuia, Alexei Pozdnoukhov

This book provides an introduction to spatio-temporal design that contains a description of one or two basic settings (e.g., migration and biodiversity) that includes real data sets, data-generating mechanisms, and possible simulation scenarios. Furthermor ...

John Wiley & Sons2013

Tangible Interfaces for Learning

Sébastien Cuendet

There have been many claims that Tangible User Interfaces (TUIs) can have a positive impact on learning. Alleged benefits include increasing usability, improving engagement and collaboration of students, and providing a better perception of the task, esp ...

EPFL2013

On the Influence of Informed Agents on Learning and Adaptation Over Networks

Ali H. Sayed

Adaptive networks consist of a collection of agents with adaptation and learning abilities. The agents interact with each other on a local level and diffuse information across the network through their collaboration. In this work, we consider two types of ...

Institute of Electrical and Electronics Engineers, Inc., 345 E. 47 th St. NY NY 10017-2394 United States2013

Design and evaluation of the computer-based training program Calcularis for enhancing numerical cognition

This article presents the design and a first pilot evaluation of the computer-based training program Calcularis for children with developmental dyscalculia (DD) or difficulties in learning mathematics. The program has been designed according to insights on ...

Frontiers Media SA2013