We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…

Information technology (IT) has the potential to improve the clinical learning environment. The extent to which IT enhances or detracts from healthcare professionals' role performance can be expected to affect both student learning and patient outcomes. This study evaluated nursing students' satisfaction with a novel compartmental Picture…

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…

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…

This paper reports on a case-study design experiment in the domain of fraction as number-measure. We designed and implemented a set of exploratory tasks concerning comparison and ordering of fractions as well as operations with fractions. Two groups of 12-year-old students worked collaboratively using paper and pencil as well as a specially…

In the area of technology-enhanced learning reusability and interoperability issues essentially influence the productivity and efficiency of learning and authoring solutions. There are two basic approaches how to overcome these problems--one attempts to do it via standards and the other by means of the Semantic Web. In practice, these approaches…

This educational software was developed to aid teachers and students in their understanding of how the process of identifying the most likely quantitative trait loci (QTL) position is determined between two flanking DNA markers. The objective of the software that we developed was to: (1) show how a QTL is mapped to a position on a chromosome using…

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…