Learning from text: Matching readers and texts by latent semantic analysis

This study examines the hypothesis that the ability of a reader to learn from text depends on the match between the background knowledge of the reader and the difficulty of the text information. Latent Semantic Analysis (LSA), a statistical technique that represents the content of a document as a vector in high‐dimensional semantic space based on a large text corpus, is used to predict how much readers will learn from texts based on the estimated conceptual match between their topic knowledge and the text information. Participants completed tests to assess their knowledge of the human heart and circulatory system, then read one of four texts that ranged in difficulty from elementary to medical school level, then completed the tests again. Results show a nonmonotonic relation in which learning was greatest for texts that were neither too easy nor too difficult. LSA proved as effective at predicting learning from these texts as traditional knowledge assessment measures. For these texts, optimal assignment o...

[1]  Wolfgang Schneider,et al.  Expert Knowledge, General Abilities, and Text Processing , 1990 .

[2]  W. Kintsch,et al.  STRATEGIES TO PROMOTE ACTIVE LEARNING FROM TEXT: INDIVIDUAL DIFFERENCES INBACKGROUND KNOWLEDGE , 1995 .

[3]  W. Kintsch,et al.  Are Good Texts Always Better? Interactions of Text Coherence, Background Knowledge, and Levels of Understanding in Learning From Text , 1996 .

[4]  Margaret G. McKeown,et al.  The Contribution of Prior Knowledge and Coherent Text to Comprehension , 1992 .

[5]  Danielle S. McNamara,et al.  Learning from texts: Effects of prior knowledge and text coherence , 1996 .

[6]  James F. Voss,et al.  Text Processing of Domain-Related Information for Individuals with High and Low Domain Knowledge: Methodological Considerations. , 1979 .

[7]  Bob Rehder,et al.  Using latent semantic analysis to assess knowledge: Some technical considerations , 1998 .

[8]  Goode P. Davis,et al.  The heart, the living pump , 1981 .

[9]  James F. Voss,et al.  Star Wars: A developmental study of expert and novice knowledge structures , 1985 .

[10]  James F. Voss,et al.  Learning From History Text: The Interaction of Knowledge and Comprehension Skill with Text Structure , 1996 .

[11]  T. Landauer,et al.  Indexing by Latent Semantic Analysis , 1990 .

[12]  T. Landauer,et al.  A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge. , 1997 .

[13]  Peter W. Foltz,et al.  An introduction to latent semantic analysis , 1998 .

[14]  W. Kintsch.  Text comprehension, memory, and learning. , 1994, The American psychologist.

[15]  B. K. Britton,et al.  Using Kintsch's computational model to improve instructional text: Effects of repairing inference calls on recall and cognitive structures. , 1991 .

[16]  W Kintsch,et al.  Writing quality, reading skills, and domain knowledge as factors in text comprehension. , 1993, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[17]  S. E. Gould,et al.  Pathology of the heart , 1961 .