Title :
xAPI-SRL: Uses of an application profile for self-regulated learning based on the analysis of learning strategies
Author :
Mario Manso-Vázquez;Manuel Caeiro-Rodríguez;Martín Llamas-Nistal
Author_Institution :
Department of Telematic Engineering, University of Vigo, Vigo, Spain
Abstract :
Self-Regulated Learning (SRL) is being promoted and adopted increasingly because of the needs of current education, based on competences and student centered. At the same time, the use of technology for learning is now usual and also increasing. Nevertheless, current learning software offers poor support for SRL. Learners use different tools to organize their learning, to visualize content, to submit assignments, to answer questionnaires, etc. These functionalities are useful, but they are not relevant from the SRL approach. Particularly, monitoring students´ development of SRL strategies and students´ self-monitoring are not well supported in existing systems. This paper introduces a proposal to improve monitoring support in e-learning systems. The proposal is based on Tin Can API or xAPI, a recent standard to record data about users´ activity in learning systems.
Keywords :
"Monitoring","Education","Context","Planning","Software tools","Data mining"
Conference_Titel :
Frontiers in Education Conference (FIE), 2015. 32614 2015. IEEE
Print_ISBN :
978-1-4799-8454-1
DOI :
10.1109/FIE.2015.7344049