STEM instruction often uses visual representations. To benefit from these, students need to understand how representations show domain-relevant concepts. Yet, this is difficult for students. Prior research shows that physical representations (objects that students manipulate by hand) and virtual representations (objects on a computer screen that…

This study (Note 1) investigates potential differences in language use between genders, by applying a modified model of thought representation. Our hypothesis is that women use more direct forms of thought representation than men in modern spoken British English. Women are said to favour "private speech" that creates intimacy and…

Numerous studies have affirmed the value of asynchronous online communication as a learning resource. Several investigations, however, have indicated that discussions in asynchronous environments are often neither interactive nor coherent. The research reported sought to develop an enhanced understanding of interactional coherence, argumentation,…

This study investigated the representations that readers construct for narratives describing a sequence of events. Participants read narratives describing 4 successive events in chronological order (Event 1, Event 2, Event 3, Event 4 [E1, E2, E3, E4] Experiment 1) or in nonchronological order with E1 being mentioned in a flashback (E2, E3, E1,…

Introduces this special issue which describes several approaches to semantic knowledge representations. Discusses the various quantitative procedures employed in the articles, noting that they can also serve as theoretical approaches to knowledge representation. (SR)

Describes a computational model of high-dimensional context space: the Hyperspace Analog to Language (HAL). Shows that HAL provides sufficient information to make semantic, grammatical, and abstract distinctions. Demonstrates the cognitive compatibility of the representations with human processing; and introduces a new methodology that extracts…

Offers an introduction to the theory and implementation of Latent Semantic Analysis (LSA), a theory and method for extracting and representing the contextual-usage meaning of words by statistical computations applied to a large corpus of text. Gives an overview of applications and modeling of human knowledge to which LSA has been applied. (SR)

Draws from studies in the sociology of scientific knowledge to create a new perspective for understanding school science. Merges ethnography and discourse analysis to study science-in-the-making in a physics classroom. Investigates local conceptual ecologies. Contains 55 references. (DDR)

Introduces the Knowledge Digraph Contribution (KDC) data-analysis methodology for quantitatively measuring the degree to which a given knowledge digraph can account for the occurrence of specific sequences of propositions in recall, summarization, talk-aloud and question-answering protocol data. Notes the applicability of this approach to the…

Illustrates use of Latent Semantic Analysis (LSA) for predicting coherence through reanalyzing two studies that manipulated coherence of texts and assessed readers' comprehension. Finds that LSA predicts effects of text coherence on comprehension. Notes that LSA can be applied as an automated method that produces coherence predictions similar to…

Presents a study that analyzes an extensive database consisting of the written and oral discourse of students (N=23) as they described their thoughts on ontology, epistemology, and sociology of scientific knowledge. Contains 51 references. (DDR)

Examines student perceptions of the changing nature of a classroom as a result of the implementation of constructivist approaches. Results indicate that students are appreciative of the opportunity to use their own ideas and knowledge. Contains 31 references. (DDR)