The evolution of concept mapping has benefitted from the robust theoretical basis provided by Ausubelian learning theory. However, for concept mapping to maintain its relevance and to keep pace with the evolutionary changes in the educational context, it is vital that educational researchers and classroom practitioners can augment this theoretical…

This paper summarizes key stages in development of the Structural Learning Theory (SLT) and explains how and why it is now possible to model human tutors in a highly efficient manner. The paper focuses on evolution of the SLT, a deterministic theory of teaching and learning, on which AuthorIT authoring and TutorIT delivery systems have been built.…

This article proposes an integrated cognitive theory of reading and listening that draws on a maximalist account of comprehension and emphasizes the role of bottom-up and top-down processing. The theoretical framework draws on the findings of previous research and integrates them into a coherent and plausible narrative to explain and predict the…

Provides a detailed, technical introduction to the state of cognitive science research, in particular the rise of the "new cognitive science," especially artificial neural net (ANN) models. Explains one influential ANN model and describes diverse applications and their implications for education. (EV)

Discusses two models of the mind: the influential model of "mind as container," in which the mind is akin to a computer storing data; and a connectionist model, in which the brain does not actually store or contain knowledge in the sense traditionally believed. Discusses the second model's implications for education. (EV)

As biological and socio-cultural beings, humans are encouraged and aspire to "see" not only what comes "within sight," but also what is not possible to see. Visualization is described as offering a method of seeing the unseen. These ideas are organized into sections that focus on seeing the unseen in data, seeing the unseen in…

This paper offers an argument for the return to a consideration of the basic issues in mathematics education research in order to better understand the mechanisms of mathematics learning. A return to these basic issues can also shed light on the difficulties students encounter in learning mathematics. In organizing the argument, three kinds of…

This paper reports on an interdisciplinary theoretical framework for the characterization of models and modeling that can be useful in application to chemistry education. The underlying argument marks a departure from an emphasis on concepts that are the outcomes of chemical inquiry about how knowledge growth occurs through modeling in chemistry.…

This paper focuses on some main distinctions that are necessary to analyze mathematical knowledge from a learning point of view and explain how many students come up against difficulties at each level of the curriculum. From a learning point of view, visualization cannot be used as an immediate and obvious support for understanding, even though it…

Forgetting in long-term memory, as measured in a recall or a recognition test, is faster for items encoded more recently than for items encoded earlier. Data on forgetting curves fit a power function well. In contrast, many connectionist models predict either exponential decay or completely flat forgetting curves. This paper suggests a…

Examines the qualities of hypermedia information systems that enable them to facilitate learning and knowledge construction. Discusses the background of current learning theories, and describes a possible hypermedia system based on constructivist learning principles that could be developed through the use of intelligent autonomous agents.…

Reports on a research project designed to develop an intelligent computer-based learning environment of industrial applications. "Jonas," an expert system, is part of a modeling/simulation environment which enables shop-floor workers to test and put new philosophies of work into practice in the context of manufacture. The approach focuses on the…

This paper considers the work of Martin Heidegger and its relation to situated cognition. The motivation for the paper springs from the perceived misconception that many educators have on situated cognition by applying situated learning strategies in a dualistic orientation, whereas situated cognition is fundamentally relativist (non-dualistic) in…

Cognitive flexibility is indispensable for applying knowledge to new situations. The development of this ability depends on certain conditions such as the attainment of a deep comprehension of the subject matter and the exposure to different knowledge representations. This paper focuses on these conditions and describes a study designed to foster…