Showing 1 - 2 of 2 Research Library Publications

Leveraging Machine Learning Technology to Improve Accuracy and Efficiency of Identification of Enemy Item Pairs

Posted: | Ian Micir, Kimberly Swygert, Jean D'Angelo

Journal of Applied Technology: Volume 23 - Special Issue 1 - Pages 30-40

 

The interpretations of test scores in secure, high-stakes environments are dependent on several assumptions, one of which is that examinee responses to items are independent and no enemy items are included on the same forms. This paper documents the development and implementation of a C#-based application that uses Natural Language Processing (NLP) and Machine Learning (ML) techniques to produce prioritized predictions of item enemy statuses within a large item bank.

Category:Assessment-Oriented Research, Scoring, Applications of Technology

Integrating Competency Modeling with Traditional Job Analysis

Posted: | M. R. Raymond

CLEAR Exam Review 2018 27(2): 21-27

 

The purpose of this paper is to suggest an approach to job analysis that addresses broad competencies while maintaining the rigor of traditional job analysis and the specificity of good test blueprints.

Category:Assessment-Oriented Research, Other