title: Automatically deriving readers' knowledge structures from texts.
abstract: Latent semantic analysis (LSA) serves as both a theory and a method for representing the meaning of words based on a statistical analysis of their contextual usage (Foltz, 1996; Landauer & Dumais, 1997). In experiments in the domains of psychology and history, we compared the representation of readers' knowledge structures of information learned from texts with the representation generated by LSA. Results indicated that LSA's representation is similar to readers' representations. In addition, the degree to which the reader's representation is similar to LSA's representation is indicative of the amount of knowledge the reader has acquired and of the reader's reading ability. This approach has implications both as a model of learning from text and as a practical tool for performing knowledge assessment.
authors.affiliation: Department of Psychology, New Mexico State University, Las Cruces 88003, USA. pfoltz@nmsu.edu
authors.forename: P W
authors.initials: PW
authors.lastname: Foltz
authors.forename: A D
authors.initials: AD
authors.lastname: Wells
mesh_terms: D006801:Humans; D019359:Knowledge; D011932:Reading; D012660:Semantics