Despite a growing development of virtual laboratories which use the advantages of multimedia and Internet for distance education, learning by means of such tutorial tools would be more effective if they were specifically tailored to each student needs. The virtual teaching process would be well adapted if an artificial tutor can identify the…

For an intelligent tutoring system (ITS) to earn its "I", it must be able to (1) accurately diagnose students' knowledge structures, skills, and/or learning styles using principles, rather than pre-programmed responses, to decide what to do next; and (2) adapt instruction accordingly. While some maintain that remediation actually…

Addresses areas of situated knowledge (metacognitive skills and affective skills) that have been ignored in intelligent computer-aided learning systems. Focuses on model-based reasoning, including contextualized and decontextualized knowledge, and examines an instructional method that supports situated knowledge by providing opportunities for…

Discusses instructional design and describes the development of a support system for course design called AGD (French acronym for Didactic Engineering Workbench). Highlights include categories of computer tools that support course design, including computer-assisted instruction, instructional design expert systems, and job aids; knowledge modeling…

Discussion of explanations and knowledge representation within knowledge-based systems focuses on the development of an expert system for purification of proteins in a Swedish laboratory. Topics include domain conceptualization; a multiple-explanation construction model; a study of laboratory staff that investigated construed explanations; and…

Investigates the effects of context-weak versus context-strong tasks and learning style on the citation-frequencies and citation-percentages of four mental models (semantic networks, concept maps, frames/scripts, and schemata) students perceived to be inherent in a hypermedia learning environment. (Author/AEF)

Considers the role of library and information science professionals as knowledge engineers. Highlights include knowledge acquisition, including personal experience, interviews, protocol analysis, observation, multidimensional sorting, printed sources, and machine learning; knowledge representation, including production rules and semantic nets;…

Describes a modelling language for representing teaching strategies, based in the context of the COCA intelligent tutoring system. Examines work on meta-reasoning in knowledge-based systems and describes COCA's architecture, giving details of the language used for representing teaching knowledge. Discusses implications for future work. (AEF)

This paper presents a new model for simulating procedural knowledge in the problem solving process with our ontological system, InfoMap. The method divides procedural knowledge into two parts: process control and action performer. By adopting InfoMap, we hope to help teachers construct curricula (declarative knowledge) and teaching strategies by…