β Scribed by John Seely Brown; Richard R. Burton
No coin nor oath required. For personal study only.
This paper describes research directed at understanding and designing artificially intelligent instructional systems that use their knowledge bases and problem-solving expertize to aid the student in several ways. A system is described that derives from the world of manipulatory mathematics based on attibute blocks and examples are given of interaction with it. The system can answer student questions and evaluate his theories as well as criticize his solution paths. It can also form structural models of his reasoning strategies to identify his fundamental misconceptions and determine when and how to provide remediation, hints or further instruction.
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