We develop a large number of software tools and hosting infrastructures to support the research developed at the Department. We will be detailing in this section the different tools available. You can take a look for the moment at the offer available within the UPF Knowledge Portal, the innovations created in the context of EU projects in the Innovation Radar and the software sections of some of our research groups:

 

 Artificial Intelligence

 Nonlinear Time Series Analysis

 Web Research 

 

 Music Technology

 Interactive  Technologies

 Barcelona MedTech

 Natural Language  Processing

 Nonlinear Time Series  Analysis

UbicaLab

Wireless Networking

Educational Technologies

GitHub

 

 

Back Hernández‐Leo D, Martinez‐Maldonado R, Pardo A, Muñoz‐Cristóbal JA, Rodríguez‐Triana MJ. Analytics for learning design: A layered framework and tools. British Journal of Educational Technology

Hernández‐Leo D, Martinez‐Maldonado R, Pardo A, Muñoz‐Cristóbal JA, Rodríguez‐Triana MJ. Analytics for learning design: A layered framework and tools. British Journal of Educational Technology

The field of learning design studies how to support teachers in devising suitable activities for their students to learn. The field of learning analytics explores how data about students' interactions can be used to increase the understanding of learning experiences. Despite its clear synergy, there is only limited and fragmented work exploring the active role that data analytics can play in supporting design for learning. This paper builds on previous research to propose a framework (analytics layers for learning design) that articulates three layers of data analytics—learning analytics, design analytics and community analytics—to support informed decision‐making in learning design. Additionally, a set of tools and experiences are described to illustrate how the different data analytics perspectives proposed by the framework can support learning design processes.

https://doi.org/10.1111/bjet.12645