ACT announced a series of enhancements designed to modernize the ACT test and offer students more choice and flexibility in demonstrating their readiness for life after high school. The enhancements provide students more flexibility by allowing them to choose whether to take the science assessment, thereby reducing the test length by up to…

The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…

Item response theory (IRT) models the relationship between the possible scores on a test item against a test taker's attainment of the latent trait that the item is intended to measure. In this study, we compare two models for tests with polytomously scored items: the optimal scoring (OS) model, a nonparametric IRT model based on the principles of…

Intelligence tests have been used in the United States since the early 1900s for assessing soldiers during World War I (Kaufman & Harrison, 2008; White & Hall, 1980). Presently, cognitive assessments are used in school, civil service, military, clinical, and industry settings (White & Hall, 1980). Although the results of these…

Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…

Automatic essay scoring (AES) is an essential educational application in natural language processing. This automated process will alleviate the burden by increasing the reliability and consistency of the assessment. With the advances in text embedding libraries and neural network models, AES systems achieved good results in terms of accuracy.…

Background: Generative artificial intelligence (AI) represents a potentially powerful, time-saving tool for grading student essays. However, little is known about how AI-generated essay scores compare to human instructor scores. Objective: The purpose of this study was to compare the essay grading scores produced by AI with those of human…

This software review discusses the capabilities of Stata to conduct item response theory modeling. The commands needed for fitting the popular one-, two-, and three-parameter logistic models are initially discussed. The procedure for testing the discrimination parameter equality in the one-parameter model is then outlined. The commands for fitting…

New Meridian Corporation has developed the "Quality Testing Standards and Criteria for Comparability Claims" (QTS). The goal of the QTS is to provide guidance to states that are interested in including content from the New Meridian item bank and intend to make comparability claims with "other assessments" that include New…

New Meridian Corporation has developed the "Quality Testing Standards and Criteria for Comparability Claims" (QTS). The goal of the QTS is to provide guidance to states that are interested in including content from the New Meridian item bank and intend to make comparability claims with "other assessments" that include New…

Writing is generally assessed internationally using rubric-based approaches, but there is a growing body of evidence to suggest that the reliability of such approaches is poor. In contrast, comparative judgement studies suggest that it is possible to assess open ended tasks such as writing with greater reliability. Many previous studies, however,…

AI-enabled assessment of student papers has the potential to provide both summative and formative feedback and reduce the time spent on grading. Using auto-ethnography, this study compares AI-enabled and human assessment of business student examination papers in a law module based on previously established rubrics. Examination papers were…

These are the appendices for the technical report, "An Investigation of the Comparability of Commission-Approved Teaching Performance Assessment Models." California's Commission on Teacher Credentialing (Commission) requires all programs of preliminary multiple and single subject teacher preparation to use a Commission-approved Teaching…

While score comparability across test forms typically relies on common (or randomly equivalent) examinees or items, innovations in item formats, test delivery, and efforts to extend the range of score interpretation may require a special data collection before examinees or items can be used in this way--or may be incompatible with common examinee…

Background: Mode effects, the variations in item and scale properties attributed to the mode of test administration (paper vs. computer), have stimulated research around test equivalence and trend estimation in PISA. The PISA assessment framework provides the backbone to the interpretation of the results of the PISA test scores. However, an…