RT Journal Article
T1 Using latent semantic analysis to enhance the comprehensibility of hypertext systems.
A1 Madrid-López, Rafael Ignacio
A1 Cañas, José J.
K1 Hipertexto
K1 Conocimiento
K1 Semántica
AB Hypertext documents are pieces or nodes of information connected to each other through hyperlinks, which is the basis for more complex learning technologies as e-learning platforms or electronic encyclopaedias. Because of its extensive use, there is a need for procedures and techniques that help authors to enhance the comprehensibility of hypertext. This paper presents a number of cognitive models that explain how learners navigate and comprehends hypertext documents. The CoLiDeS and CoLiDeS+ models describe how people navigate when they try to find specific information, while the Hypertext Comprehension Model addresses knowledge acquisition when their goal is to comprehend hypertext contents. Some problems predicted by these models that affect the comprehensibility of hypertexts are discussed. In addition, a number of procedures are described that uses latent semantic analysis (LSA) free-text tools in order to assess and improve their usability and comprehensibility.
PB Inderscience
YR 2011
FD 2011
LK https://hdl.handle.net/10630/32932
UL https://hdl.handle.net/10630/32932
LA eng
NO Madrid, R.I. y Cañas, J.J. (2011). Using latent semantic analysis to enhance the comprehensibility of hypertext systems. International Journal of Continuing Engineering Education and Life-Long Learning, 21 (4), 343–354.  https://dx.doi.org/10.1504/IJCEELL.2011.042792
NO Política de acceso abierto tomada de: https://v2.sherpa.ac.uk/id/publication/4337
NO Financiado por los proyectos SEJ2004-05430 y SEJ2007-63850 del Ministerio de Eudcación y Ciencia.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 4 mar 2026