@inproceedings{cb342ad72f2248e9931d5d902769f0c0,
title = "A learning analytics framework for practice-based learning",
abstract = "The role of the PELARS Learning Analytics System (LAS) system is to collect information from students performing project-based tasks, reason on such information and provide visualization to teachers and students, that is usable for understanding the learning process. The information collected by the LAS comprises pieces of information collected directly by the Students, and other collected by the System automatically. In this work we will provide a comprehensive description of the framework and the motivations behind the various decisions. The software framework will be described starting from the broad vision of the context and then the different components will be described in detail.",
keywords = "Action recognition, Arduino, Kinect, Learning analytics, Software framework",
author = "Giacomo Dabisias and Daniel Spikol and Emanuele Ruffaldi",
year = "2015",
language = "English",
series = "Computer-Supported Collaborative Learning Conference, CSCL",
publisher = "International Society of the Learning Sciences (ISLS)",
pages = "741--742",
editor = "Oskar Lindwall and Paivi Hakkinen and Timothy Koschmann and Pierre Tchounikine and Sten Ludvigsen",
booktitle = "Exploring the Material Conditions of Learning",
note = "11th International Conference on Computer Supported Collaborative Learning: Exploring the Material Conditions of Learning, CSCL 2015 ; Conference date: 07-06-2015 Through 11-06-2015",
}