John D. Bransford

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This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents(More)
Education in biomedical engineering offers a number of challenges to all constituents of the educational process-faculty, students, and employers of graduates. Although biomedical engineering educational systems have been under development for 40 years, interest in and the pace of development of these programs has accelerated in recent years. New advances(More)
The present studies investigated the adequacy of an interpretive linguistic approach to the description of the knowledge communicated by sentences by asking whether sentence retention was primarily a function of memory for the semantically interpreted deep structural relations underlying the input sentences or a function of memory for the overall semantic(More)
This paper describes the use of qualitative reasoning mechanisms in designing computer-based teachable agents that users explicitly teach to solve problems using concept maps. Users can construct the required problem-solving knowledge structures without becoming involved in sophisticated programming activities. Once taught, the agent attempts to answer(More)
We discuss computer environments that invite students to learn by instructing “teachable agents” (TA’s) who venture forth and attempt to solve problems that require knowledge of disciplines such as mathematics, science or history. If the agents have been taught properly they solve the problems they confront; otherwise they need to be further educated. The(More)
Enclosed please find a preliminary proof of your chapter in Smart Machines in Education (Forbus and Feltovich). These are your first set of proofs—we have reformatted your chapter to fit a 6x9 inch trim size, translated your graphics to incorporate this book’s styles and fonts, and the editor has added queries (usually in red) about particular elements in(More)
This paper extends our previous work on simulation-based Intelligent Learning Environments and SmartTools to computer-based Teachable Agents. Teachable Agents have been inspired by our work in classrooms where students have found it very motivating to teach and help others in problem solving tasks. These interactions also helped students to appreciate(More)