Knowledge model: a method to evaluate an individual's knowledge quantitatively

TL;DR

This paper introduces a knowledge model that quantitatively evaluates an individual's knowledge by analyzing learning experiences and knowledge points through topic modeling, without requiring traditional exams.

Contribution

It presents a novel method to assess personal knowledge levels by analyzing learning content and experiences, enabling diverse applications like research focus analysis.

Findings

Preliminary system demonstrates practical feasibility.

Effectively identifies knowledge strengths and deficiencies.

Enables comparison of researchers' expertise.

Abstract

As the quantity of human knowledge increasing rapidly, it is harder and harder to evaluate a knowledge worker's knowledge quantitatively. There are lots of demands for evaluating a knowledge worker's knowledge. For example, accurately finding out a researcher's research concentrations for the last three years; searching for common topics for two scientists with different academic backgrounds; helping a researcher discover his deficiencies on a research field etc. This paper proposes a method named knowledge model to evaluate a knowledge worker's knowledge quantitatively without taking an examination. It records and analyzes an individual's each learning experience, discovering all the involved knowledge points and calculating their shares by analyzing the text learning contents with topic model. It calculates a score for a knowledge point by accumulating the effects of one's all learning experiences about it. A preliminary knowledge evaluating system is developed to testify the practicability of knowledge model.