Name
Abstract | ||
|---|---|---|
Emotions influence human cognition, affecting perception and understanding of a specific situation; therefore emotions can affect positively or negatively the learning process. Currently there are few information systems that analyze users’ emotions to optimize their learning. This article proposes a model that includes users’ temporary emotions to recommend Learning Objects (LO) and deliver relevant educational materials. Three stages are set; initially, the model recognizes a user’s emotions and learning style; then a recommendation system is applied to identify relevant LOs; and finally, the presentation of this information is showed to the user. In this work we present a method that identifies the emotion of the user based on facial recognition, and the process of recommendation is presented. |
Year | Venue | Field |
|---|---|---|
2015 | SOCIALEDU | Recommender system,Information system,Facial recognition system,Mood,World Wide Web,Computer science,Learning object,Cognition,Perception,Recommendation model |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
10 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nestor Duque | 1 | 0 | 1.69 |
| Ángela María Pérez Zapata | 2 | 0 | 0.34 |
| César A. Collazos | 3 | 280 | 76.06 |