Title:	PROVIDING SELF-REGULATED LEARNING FROM MONITORING OF STUDENT PERSONAL WORKSPACE
Author(s):	Gislaine Cristina Micheloti Rosales, Maria Angélica do Carmo Zanotto, Fernando Vieira Duarte, Regina Borges de Araújo
ISBN:	978-989-8533-16-6
Editors:	Bebo White and Pedro Isaías
Year:	2013
Edition:	Single
Keywords:	self-regulated learning, context-awareness, data visualization, recommender system, logical and physical sensors.
Type:	Full Paper
First Page:	149
Last Page:	156
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	In this paper we present a web-based context-aware system that provides trace data visualization and personalized recommendations (ViTrackeR) to students in distance learning courses. A data collection framework with highly distributed architecture based on a hybrid sensor network – composed of physical and logical sensors - provides an accurate and implicit monitoring of student’s behaviors through collect and forward events of users’ focus of attention and their physical context. Thus, is possible not only to observe the user’s behaviors conventionally monitored in web browsers, logs and learning databases, but also to track user-generated content in their personal workspace in real time –information produced by desktop applications, operational system, communication network - and the physical environment surrounding them. The interpretation of behaviors using a Bayesian network-based analysis of data provides many important pieces of information on student’s academic progress, which are then used as a basis for recommendations and visualizations. This paper focus on how our system assists students’ self-regulated learning promotion in distance learning situations. An implementation for discussion forums in the context of a concrete online course validates our system.
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