Autores
Peña Ayala Alejandro
Sossa Azuela Juan Humberto
Título Semantic Representation and Management of Student Models: An Approach to Adapt Lecture Sequencing to Enhance Learning
Tipo Congreso
Sub-tipo SCOPUS
Descripción Lecture Notes in Computer Science; 9th Mexican International Conference on Artificial Intelligence
Resumen In this paper an approach oriented to acquire, depict, and administrate knowledge about the student is proposed. Moreover, content is also characterized to describe lectures. In addition, the work focuses on the semantics of the attributes that reveal a profile of the student and the teaching experiences. The meaning of such properties is stated as an ontology. Thus, inheritance and causal inferences are made. According to the semantics of the attributes and the conclusions induced, the sequencing module of a Web-based educational system (WBES) delivers the appropriate option of lecture to students. The underlying hypothesis is: the apprenticeship of students is enhanced when a WBES understands the nature of the content and the student’s characteristics. Based on the empirical evidence outcome by a trial, it is concluded that: Successful WBES account the knowledge that describe their students and lectures.
Observaciones Advances in Artificial Intelligence; MICAI 2010; Code 82886
Lugar Pachuca
País Mexico
No. de páginas 175-186
Vol. / Cap. 6437
Inicio 2010-11-08
Fin 2010-11-13
ISBN/ISSN 978-3-642-16760-7