Abstract | ||
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Learning activities using technologies is one of the common education methods. Its advantages allow that students can learn with concepts more practical's. However in this environment not all the students can be attentive. In this research an Ambient Intelligent System has been designed using biometrics behaviors for detecting learner inattentiveness. The learning attentiveness of a student can be determined precisely and the teacher has access to these results and might improve news strategies. |
Year | DOI | Venue |
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2017 | 10.1007/978-3-319-61118-1_26 | AMBIENT INTELLIGENCE- SOFTWARE AND APPLICATIONS- 8TH INTERNATIONAL SYMPOSIUM ON AMBIENT INTELLIGENCE (ISAMI 2017) |
Keywords | Field | DocType |
Level of attention,Technology in learning,Ambient intelligent systems | Computer science,Human–computer interaction,Biometrics | Conference |
Volume | ISSN | Citations |
615 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dalila Durães | 1 | 5 | 6.84 |
David Castro | 2 | 0 | 0.34 |
Javier Bajo | 3 | 1451 | 118.96 |
Paulo Novais | 4 | 883 | 171.45 |