Identifying effective tutorial dialogue strategies is a key issue for intelligent tutoring systems research. Human-human tutoring offers a valuable model for identifying effective tutorial strategies, but extracting them is a challenge because of the richness of human dialogue. This article addresses that challenge through a machine learning…

The interoperability of educational systems, encouraged by the development of specifications, standards and tools related to the Semantic Web is limited to the exchange of information in domain and student models. High system interoperability requires that a common framework be defined that represents the functional essence of educational systems.…

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…

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,…

Research in the area of knowledge-based tutoring systems (KBTS) and intelligent tutoring systems (ITS) has great implications for computer applications in education and training. In a KBTS, course material is represented independently of teacher procedures, so that problems and remedial comments can be generated differently for each student. Such…

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…

As a person learns, his problem solving ability improves and one reason for this is the increased acquisition of "macro-rules" which make problem solving more efficient. An intelligent computer assisted learning (ICAI) system is being developed which automatically acquires the useful knowledge from the domain experts; as experts give the learning…

Maccia's epistemology of intelligent natural systems implies that computer systems must develop qualitative intelligence before knowledge representation and natural language understanding can be achieved. Emotion and sensation--capabilities which computers do not currently possess are vital to the growth of the mind (Stanley I. Greenspan).…

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)

The objective of this paper is to introduce a standards-based model for adaptive e-learning and to investigate the conditions and tools required by authors to implement this model. Adaptation in the context of e-learning is about creating a learner experience that purposely adjusts to various conditions over a period of time with the intention of…

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…

The Reflective Tutorial Dialogue System (ReTuDiS) is a system for learner modelling historical text comprehension through reflective dialogue. The system infers learners' cognitive profiles and constructs their learner models. Based on the learner model the system plans the appropriate--personalized for learners--reflective tutorial dialogue in…

In this paper we describe the ways that SCoT, a Spoken Conversational Tutor, uses flexible and adaptive planning as well as multimodal task modeling to support the contextualization of learning in reflective dialogues. Past research on human tutoring has shown reflective discussions (discussions occurring after problem-solving) to be effective in…