Describes GTE (Generic Tutoring Environment), an environment for developing intelligent courseware that is designed around a generic instructional knowledge-base using formalism. Discusses the instructional components of intelligent tutoring systems, including the instructional model, and how GTE approaches the instructional model from an…

Describes ID Expert, an intelligent computer-based multimedia interactive instructional development and delivery system. Topics include instructional transactions with built-in instructional design; knowledge bases and knowledge representation; automated instructional design; and similarities to GTE (Generic Tutoring Environment). (Author/LRW)

Analyzes claims with regard to GTE's (Generic Tutoring Environment) epistemological foundations and suggests that GTE's assumptions reveal a reductionist bias through the use of formalism. Implications for courseware design and instructional modeling are discussed. (Author/LRW)

Discusses GTE (Generic Tutoring Environment) and knowledge-based courseware engineering from an epistemological point of view and suggests some combination of the two approaches. Topics include intelligent tutoring; courseware authoring; application versus acquisition of knowledge; and domain knowledge. (LRW)

Discusses GTE (Generic Tutoring Environment) and courseware engineering and argues that GTE's theoretical knowledge base focuses on teaching as a good model for any kind of instruction and thus reduces its generic nature. Two examples of weak automation for instructional design are described that have broader knowledge bases. (Author/LRW)

Examines GTE (Generic Tutoring Environment) from an authoring perspective, describes how GTE may be used to create courseware, and reviews potential difficulties that authors face when using such a tool. Summarizes two studies that investigated how authors used GTE and concludes that GTE designs are difficult for authors to test and evaluate.…

Compares the knowledge content of GTE (Generic Tutoring Environment), a generic instructional knowledge base that facilitates dynamic pedagogical decision making, and PEPE, a computational framework for representing pedagogical knowledge to tailor instruction to an individual student. The courseware's interaction with the student and instructional…

Discusses the place of GTE (Generic Tutoring Environment) as an approach to bridging the gap between computer-assisted learning and intelligent tutoring systems; describes DCG (dynamic courseware generation) which allows dynamic planning of the contents of an instructional course; and considers combining GTE with DCG. (Author/LRW)

Reviews psychometric approaches to problems of modeling student achievement (the student model) within intelligent tutoring systems (ITS). A number of cognitively oriented psychometric approaches, including latent-trait models, statistical pattern recognition methods, and causal probabilistic networks are described and discussed within the current…

In this response to commentaries provided on their original paper, "Beyond Intelligent Tutoring Systems: Situations, Interactions, Processes and Affordances," the authors elaborate on the aims of their conceptualization, focusing on the nature of affordances and situations. (AEF)

Discusses how the reverse engineering approach can generate feedback on computer programs without the user having any prior knowledge of what the program was designed to do. This approach uses the cognitive model of programming knowledge to interpret both context independent and dependent errors in the same words and concepts as human programmers.…

From an ecological psychology perspective, a full analysis of any learning context must acknowledge the complex nonlinear dynamics that unfold as an intentionally-driven learner interacts with a technology-based purposefully designed learning environment. A full situation model would need to incorporate constraints from the environment and also…

Considers claims regarding GTE (Generic Tutoring Environment) and describes how instructional strategies are represented in Eon, an authoring tool for intelligent tutoring systems. Highlights include comparisons of GTE with other formalisms; intended audiences; representing instructional expertise; tradeoffs between generality and inferencing…

Explanations for poor learning include inadequate subject matter, students, and approach, but this article argues that the information processing needed for deep learning is hampered when students can not spontaneously engage in cognitive activities fostering such learning. Describes three studies in which high school students learned about the…

Describes the role of natural language processing (NLP) techniques, such as parsing and semantic analysis, within current language tutoring systems. Examines trends, design issues and tradeoffs, and potential contributions of NLP techniques with respect to instructional theory and educational practice. Addresses limitations and problems in using…