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Abstract PREG is a conceptual model of human question asking. The model contains a set of production rules that specify the conditions under which children and adults ask questions when they read expository texts. The essence of PREG's question-asking mechanism is the existence of discrepancies between the representation of text information and the reader's world knowledge, with a mediating role of pragmatics and metacognition. Both the explicit text and the world knowledge are represented in the form of a conceptual graph structure. Comparisons between text representations and readers' knowledge are carried out by examining the 3 components of conceptual graph structures: words, statements, and links between statements. Some of the predictions of PREG were tested on a corpus of questions generated by 8th-grade and 12th-grade students who read short scientific texts. These predictions were empirically supported when assessed on 2 criteria. First, the model was sufficient because it was able to account for nearly all of the questions produced by the students. Second, the model was discriminating; when signal detection analyses were applied to the data, PREG could identify the conditions in which particular classes of questions are or are not generated.
Otero et al. (Fri,) studied this question.