CML: An Intelligent Mentoring System for Employee Training or Re-training

S. Abel and S. Gupta (USA)


Complexity measure of learning, Distance delivery of training, Examples of FFT and Mergesort learning.


This paper models an innovative system called CML (short for Complexity Measure of Learning), using rule based and case-based reasoning, mathematical techniques and proofs, and also describes its development as a computer program. This system captures the complexity measure of a learner's beliefs in the process of learning an algorithm. The paper also discusses the implementation in detail, including sample runs of the program, and provides the results in the form of a graph. Finally, it compares the CML system to several important existing works in Cognitive Science. The CML system provides valuable assistance in the assessment of employee training or re training.

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