Change and complexity are creating a need for increasing levels of literacy in science and technology. Presently, we are beginning to provide students with clear contexts in which to learn, including clearly written text, visual displays and maps, and more effective instruction. We are also beginning to give students tools that promote their own…

The authors present a computational model that builds a holographic lexicon representing both word meaning and word order from unsupervised experience with natural language. The model uses simple convolution and superposition mechanisms to learn distributed holographic representations for words. The structure of the resulting lexicon can account…

Provides author comments in response to the papers of Professors Lederman and Ohlsson in "Science and Education," Vol. 4, No. 4, 1995. These papers were in response to the paper "On the Nature of Scientific Thought" ("Science and Education," Vol. 4, No. 1). Includes 19 references. (DDR)

Discusses a concern with using online discussion for learning. Argues that there is lack of technological support for the development of personalized knowledge representation for most online discussion forums and discusses how internalization of collective knowledge can be facilitated through the notion of knowledge objects, while externalization…

Traditional hypermedia applications present the same content and provide identical navigational support to all users. Adaptive Hypermedia Systems (AHS) make it possible to construct personalized presentations to each user, according to preferences and needs identified. We present in this paper an alternative approach to educational AHS where a…

The objective of this study was to identify changes in dominant preferred learning styles of students based on instructional presentation of course content. This study evaluates dominant preferred learning styles of two groups of university students. The first group of students was enrolled in a course that introduces graphical representation in…

Greenfield Center School (GCS) students have a long history of engaging in meaningful projects as the culmination of their studies. Once students have completed these projects, they own their learning; they understand it deeply and can explain how it relates to themselves as well as to their community. The process of showing one's understandings…

Investigates the conceptions and representations of light propagation, image formation, and sight typical to preinstruction learners (N=139). Findings indicate that preinstructional students display some familiarity with optical systems, light propagation, and illumination patterns and have not developed a consistent descriptive and explanatory…

Bruner, Goodnow, and Austin's (1956) research on concept development is reexamined from a connectionist perspective. A neural network was constructed which associates positive and negative instances of a concept with corresponding attribute values. Results suggest the simultaneous learning of attributes guided the network in constructing a faster…

Presents a faster method for determining hierarchical relationships in information retrieval by using trie structures instead of a linear storage of a concept code. Highlights include case structures, a knowledge representation for natural-language understanding with semantic constraints; a compression algorithm of tries; and evaluation.…

Presents a framework that combines Genetic Programming and Inductive Logic Programming, two approaches in data mining, to induce knowledge from noisy databases. The framework is based on a formalism of logic grammars and is implemented as a data mining system called LOGENPRO (Logic Grammar-based Genetic Programming System). (Contains 34…

Discusses the requirements of information retrieval systems to support creative thinking as well as more convergent thinking. Highlights include the nature of creative thinking; similarity relationships; serendipity; machine processing of similarities; high order knowledge representation; and fuzzy and parallel information retrieval. (Contains 34…

The link between classification and knowledge is explored. The strengths and limitations of four classificatory approaches (hierarchies, trees, paradigms, and faceted analysis) are described in terms of their ability to reflect, discover, and create new knowledge. Examples are provided of the way in which knowledge and the classification process…

Reports on papers presented at the 62nd Annual Meeting of ASIST (American Society for Information Science and Technology) for the Special Interest Group in Classification Research (SIG/CR). Topics include types of knowledge; developing user-oriented classifications, including domain analysis; classification in the user interface; and automatic…

Knowledge partitioning is a theoretical construct holding that knowledge is not always integrated and homogeneous but may be separated into independent parcels containing mutually contradictory information. Knowledge partitioning has been observed in research on expertise, categorization, and function learning. This article presents a theory of…