Investigates effects of prior knowledge on learning from high- and low-coherence history texts. Examines participants' comprehension in two experiments. Finds high-knowledge readers performed better on open-ended questions after reading low-coherence text. Indicates that low-coherence text requires more inference processes--these inferences are…

Describes a recursive transition network model that analyzes and represents a story as a causal network of categorized clauses and labeled relations. Reports on two experiments using procedural criteria to identify inferences and the assumptions that inferences operate over distances in the text and are transitive, resulting in a network…