In this work we introduce the system for adaptive practice of foundations of mathematics. Adaptivity of the system is primarily provided by selection of suitable tasks, which uses information from a domain model and a student model. The domain model does not use prerequisites but works with splitting skills to more concrete sub-skills. The student…

In turbulent business environments, change is rapid, continuous, and unpredictable. Turbulence undermines those adaptive problem solving methods that generate solutions by extrapolating from what worked (or did not work) in the past. To cope with this challenge, organizations utilize trial-based problem solving (TBPS) approaches in which they…

One of the main challenges in tapping the full potential of modern educational software is to devise mechanisms to automatically analyze and adaptively support students' problem solving and learning. A number of such approaches have been developed to teach argumentation skills in domains as diverse as science, the Law, and ethics. Yet,…

In this paper, we consider collective problem-solving challenges and a particular structuring objective: lead groups of learners to make their shared problem-solving organization explicit. Such an objective may be considered as a way to lead learners to consider building and maintaining a shared organization, and/or as a way to provide a basis for…

Three experiments examined how bottom-up and top-down processes interact when people view and make inferences from complex visual displays (weather maps). Bottom-up effects of display design were investigated by manipulating the relative visual salience of task-relevant and task-irrelevant information across different maps. Top-down effects of…

The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…

A poorly designed knowledge base can be as cryptic as an arbitrary program and just as difficult to maintain. Representing inference procedures abstractly, separately from domain facts and relations, makes the design more transparent and explainable. The combination of abstract procedures and relational language for organizing domain knowledge…

Describes a project aimed at developing a system to support managers of business software projects by incorporating knowledge acquisition and emphasizing the integration of the manager's tasks. The discussion covers the knowledge acquisition methodology, the architecture of an integrated system, and an overview of project management tasks. (15…

Identifies weaknesses of conceptual modelling languages for the problem domain of information systems (IS) development. Outlines an approach called facet modelling of real-world problem domains to deal with the complexity of contemporary analysis problems. Shows how facet models can be defined and visualized; discusses facet modelling in relation…

This survey of intelligent tutoring systems describes the components of these systems, different teaching scenarios, and the relation of these systems to a theory of instruction. It argues that the underlying pedagogical approach is to make latent knowledge manifest by using different forms of quantitative modeling: (1) simulating physical…

The Telemakus System builds on the areas of concept representation, schema theory, and information visualization to enhance knowledge discovery from scientific literature. This article describes the underlying theories and an overview of a working implementation designed to enhance the knowledge discovery process through retrieval, visual and…

Examines ways in which intelligent tutoring systems can be used to develop models of a student's domain knowledge, problem solving abilities, and learning strategies. Cognitive skills assessment is discussed, and an example of a problem based tutoring system, Qualitative Understanding of Electrical System Troubleshooting (QUEST), is explained. (25…

Discusses knowledge, organization, and the organization and representation of knowledge. Addresses the relevance of international auxiliary languages as problems of development and use of special sign systems. Argues that--for computer realization of intellectual processes by modeling, not imitation--the psychological mechanisms of human memory…

Review of research and development on the design of computer-based simulation for diagnostic training highlights the development and evaluation of eight diagnostic training systems that explored the appropriate level of student modeling needed for technology training. Topics addressed include changes in interface design, displays, and system…

This report characterizes human problem solving in digital circuit design. Protocols of 11 different designers with varying degrees of training were analyzed by identifying the designers' problem solving strategies and discussing activity patterns that differentiate the designers. These methods are proposed as a tentative basis for assessing…