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Advisor(s)
Abstract(s)
The collection, storage, management, and anticipation of contextual
information about the user to support decision-making constitute some of the key
operations in most Ambient Intelligent (AmI) systems. When the instructor has a
computer-based class it is often difficult to confirm if the students are working in
the proposed activities. In order to mitigate problems that might occur in an
environment with learning technologies we suggest an AmI system aimed at
capturing, measuring, and supervising the students’ level of attentiveness in real
scenarios and dynamically provide recommendations to the instructor. With this
system it is possible to assess both individual and group attention, in real-time,
providing a measure of the level of engagement of each student in the proposed
activities and allowing the instructor to better steer teaching methodologies.
Description
Keywords
Ambient Intelligence Learning Styles Innovative Scenarios Attentiveness
Citation
Publisher
IOS Press