Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/16294

TitleWhen agents make suggestions about readings
Author(s)Belo, Orlando
KeywordseLearning platforms
Agent based computing
Intelligent tutoring systems
Software agents
Artificial intelligent tutors
Bibliographic resources suggestion
Issue date2011
PublisherAcademic Conferences and Publishing International Limited
JournalProceedings of the European Conference on Games-Based Learning
Abstract(s)Significant efforts have been made during the last few years in the design and implementation of pedagogical agents for a wide range of application domains. One of the most common target area is the assistance to students in cases of regular subject studying, promoting means that help them to improve their performance and expertise in some specific subject areas. Frequently students ask their teachers about the “best” and more effective bibliographic resources that they could use to study and validate knowledge for some working topics. In this paper we will discuss the basic characteristics of pedagogical agents, approaching their typical functional architecture, and services, reinforcing the discussion on a specific class of pedagogical agents that are responsible to support students during their studying sessions, helping them in the validation of their knowledge, suggesting bibliographic resources information whenever requested.
TypeConference paper
URIhttp://hdl.handle.net/1822/16294
ISBN9781908272225
ISSN2049-0992
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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