Learning Operator Semantics by Analogy

Abstract

This paper proposes a cognitive model for human procedural skill acquisition based on problem sol\\ing in problem spaces and the use or ’ an&)g! for buildmg the reprcscnration of operator semantics. Protocol data of computer-naive subjects learning the EhlACS text editor suaests that they use their knowledge of typewriting to decide Hhich commands to use in performing editing tasks. We propose a formal method of analysis that compares operators in two problem spaces (based on posrcondirion similarit)) and generates misconceptions (based on pre- and postcondition differences). Comparing these predicted misconceptions bith error data and \\.erbal comments in problem sohing episodes validates this analysis. The Phenomena and the Question Analysis of several experimental protocols of computer-naive people learning the EMACS text editor suggest that they were