Name
Title | ||
|---|---|---|
Employing Speech to Contribute to Modelling and Adapting to Students' Affective States |
Abstract | ||
|---|---|---|
Affect plays a significant role in students' learning behaviour. Positive affective states can enhance learning, while negative ones can inhibit it. This paper describes how we provide intelligent support in a learning platform based on affect states. We discuss two components: an affective state detector to perceive affective states in speech during interaction with the platform; and an affective state reasoner to provide support, which aims at aligning the learner's personal goal with the learning task to evoke positive affective states for an enhanced learning experience. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-11200-8_73 | EC-TEL |
Field | DocType | Volume |
Social psychology,Virtual learning environment,Semantic reasoner,Cognitive psychology,Psychology,Knowledge management,Learning experience,Affect (psychology) | Conference | 8719 |
ISSN | Citations | PageRank |
0302-9743 | 2 | 0.37 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Beate Grawemeyer | 1 | 184 | 17.60 |
| Manolis Mavrikis | 2 | 273 | 41.97 |
| Alice Hansen | 3 | 23 | 4.34 |
| Claudia Mazziotti | 4 | 6 | 2.89 |
| Sergio Gutiérrez Santos | 5 | 50 | 8.24 |