The field of instructional design has traditionally treated concepts as discrete learning outcomes. Theoretically, learning concepts requires correctly isolating and applying attributes of specific objects into their correct categories. Similarity views of concept learning are unable to account for all of the rules governing concept formation,…

The purpose of this study was to investigate the effectiveness of concept mapping strategies with different levels of generativity in terms of knowledge acquisition and knowledge representation. Also, it examined whether or not learners' self-regulated learning (SRL) skills influenced the effectiveness of concept mapping strategies with different…

Building on 2 previous studies (B. R. Ekstrand, 1967; B. R. Ekstrand, M. J. Sullivan, D. F. Parker, & J. N. West, 1971), the authors present 2 experiments that were aimed at characterizing the role of retroactive interference in sleep-associated declarative memory consolidation. Using an A-B, A-C paradigm with lists of word pairs in Experiment 1,…

Recent studies have shown that same-race (SR) faces are processed more holistically than other-race (OR) faces, a difference that may underlie the greater difficulty at recognizing OR than SR faces (the "other-race effect"). This article provides original evidence suggesting that the holistic processing of faces may be sensitive to the…

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…

This paper describes a narrative-based interactive learning environment which aims to elucidate reasoning using interactive scenarios that may be used in training novices in decision-making. Its design is based on an approach to generating narrative from knowledge that has been modelled in specific decision/reasoning domains. The approach uses a…

In this work is proposed that an adaptation tool that is for the automatic generation and personalization of courses of a general-purpose LCMS that is named A Tutor. A Tutor is a Learning Content Management System. The architecture of the adaptation tool that allows a personalized sequencing of LOs in A Tutor for the learner's learning goals,…

It is common to find students believing that they have a high skill level in computer use yet this does not normally include proficiency in the use of computer packages for data presentation. This exercise develops team work in data collection, requires the production of a simple spreadsheet, and the exporting of the data from that into one or…