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Lottridge, Sue; Burkhardt, Amy; Boyer, Michelle – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Sue Lottridge, Amy Burkhardt, and Dr. Michelle Boyer provide an overview of automated scoring. Automated scoring is the use of computer algorithms to score unconstrained open-ended test items by mimicking human scoring. The use of automated scoring is increasing in educational assessment programs because it allows…
Descriptors: Computer Assisted Testing, Scoring, Automation, Educational Assessment
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Aray, Henry; Pedauga, Luis – Educational Measurement: Issues and Practice, 2019
This article presents a novel experimental methodology in which groups of students were offered the option to choose between two equivalent scoring rules to assess a multiple-choice test. The effect of choosing the scoring rule on marks is tested. Two major contributions arise from this research. First, it contributes to the literature on the…
Descriptors: Multiple Choice Tests, Scoring, Student Attitudes, Decision Making
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Sinharay, Sandip – Educational Measurement: Issues and Practice, 2016
Data mining methods for classification and regression are becoming increasingly popular in various scientific fields. However, these methods have not been explored much in educational measurement. This module first provides a review, which should be accessible to a wide audience in education measurement, of some of these methods. The module then…
Descriptors: Data Collection, Information Retrieval, Classification, Regression (Statistics)