| Autor: |
Rosales, Gislaine Cristina Micheloti, do Carmo Zanotto, Maria Angélica, Duarte, Fernando Vieira, de Araújo, Regina Borges |
| Předmět: |
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| Zdroj: |
Proceedings of the IADIS International Conference on WWW/Internet; 2013, p149-156, 8p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
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