Title
Do learning styles influence the way students perceive interface agents?
Abstract
This paper presents an interface agent, designed for a virtual learning environment, whose main capabilities are to communicate with users in natural language and to promote collaboration by inciting students to help each other. An experiment was carried out with 72 university students to assess the effectiveness of the interface agent regarding its ability to improve students' performance, to influence students' perception of their learning experience, and to involve students in collaborating with each other. Furthermore, the students were classified by their learning style, according to the Felder-Silverman model [6]. We then evaluated if different learning styles could produce different results because of the way students perceived the interface agent. The results of the experiment are presented here, as well as conclusions and direction for future work.
Year
DOI
Venue
2008
10.1145/1497470.1497483
IHC
Keywords
Field
DocType
recommender systems
Recommender system,Virtual learning environment,Learning styles,Computer science,Human–computer interaction,Natural language,Learning experience,Multimedia,Perception
Conference
Citations 
PageRank 
References 
3
0.46
7
Authors
2
Name
Order
Citations
PageRank
Eliseo Berni Reategui16413.39
Cláudia Zattera230.46