ABSTRACT
This chapter examines the effect of situation models on the construction of global coherence in a text representation. It reviews the mechanisms responsible for creating global coherence in a text representation. The chapter subsequently focuses on the role of long-term working memory. It also explores on situation models as retrieval structures that enable readers to relate the contents of short-term memory (STM) to previously introduced information in a text. The chapter presents some empirical evidence that is consistent with the facilitating effect of situation models for creating global coherence in the representation of science texts. It examines the effect of situation models on the global coherence of the representations of science texts. This chapter argues that situation models are more efficient retrieval structures than are textbases in creating global coherence. It indicates that recourse to situation models might help readers to build global coherence of science texts.
