Problem Solving and Learning in a Natural Task Domain
Interim rept. Sep 1987-Sep 1988
GEORGIA INST OF TECH ATLANTA SCHOOL OF INFORMATION AND COMPUTER SCIENCE
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Based on work done in Year 1 of the contract analyzing protocols of students solving diagnostic problems, work in Year 2 of the contract has taken two directions the creation of AI simulation models to explain several of the learning processes used by students and the creation of an experimental tool and formulation of experiments to find out more about how people learn during problem solving and instruction. This report is divided into two sections. In the first section, the experimental tool and experiments are discussed. In section two, beginning on page 27, some of the AI simulation models are presented.