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Related publications (26)

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

Maria Jesus Rodriguez Triana

Learning analytics (LA) and lesson observations are two approaches frequently used to study teaching and learning processes. In both cases, in order to extract meaningful data interpretations, there is a need for contextualization. Previous works propose t ...

2017

No data left behind: real-time insights from a complex data ecosystem

Anastasia Ailamaki, Manolis Karpathiotakis

The typical enterprise data architecture consists of several actively updated data sources (e.g., NoSQL systems, data warehouses), and a central data lake such as HDFS, in which all the data is periodically loaded through ETL processes. To simplify query p ...

2017

Teaching Analytics: Towards Automatic Extraction of Orchestration Graphs Using Wearable Sensors

Pierre Dillenbourg, Maria Jesus Rodriguez Triana, Kshitij Sharma, Luis Pablo Prieto Santos

"Teaching analytics" is the application of learning analytics techniques to understand teaching and learning processes, and eventually enable supportive interventions. However, in the case of (often, half-improvised) teaching in face-to-face classrooms, su ...

Assoc Computing Machinery2016

Understanding learning at a glance: An overview of learning dashboard studies

Denis Gillet, Pierre Dillenbourg, Adrian Christian Holzer, Maria Jesus Rodriguez Triana, Andrii Vozniuk, Mina Shirvani Boroujeni, Luis Pablo Prieto Santos, Beat Adrian Schwendimann

Research on learning dashboards aims to identify what data is meaningful to different stakeholders in education, and how data can be presented to support sense-making processes. This paper summarizes the main outcomes of a systematic literature review on l ...

Assoc Computing Machinery2016

The Human Brain Project: Creating a European Research Infrastructure to Decode the Human Brain

Decoding the human brain is perhaps the most fascinating scientific challenge in the 21st century. The Human Brain Project (HBP), a 10-year European Flagship, targets the reconstruction of the brain's multiscale organization. It uses productive loops of ex ...

Cell Press2016

Runtime Prediction for Scale-Out Data Analytics

Adrian Daniel Popescu

Many analytics applications generate mixed workloads, i.e., workloads comprised of analytical tasks with different processing characteristics including data pre-processing, SQL, and iterative machine learning algorithms. Examples of such mixed workloads ca ...

EPFL2015