Administration of patient-reported outcome measures (PROs), using multidimensional computer adaptive tests (MCATs) has the potential to reduce patient burden, but the efficiency of MCAT depends on the degree to which an individual's responses fit the psychometric properties of the assessment. Assessing patients' symptom burden through the…

Transparency in high-stakes English language assessment has become crucial for ensuring fairness and maintaining assessment validity in language testing. However, our understanding of how transparency is conceptualised and implemented remains fragmented, particularly in relation to stakeholder experiences and technological innovations. This study…

"Classroom Assessment" shows pre- and in-service teachers how to use classroom testing accurately and formatively to dramatically increase their teaching effectiveness and promote student learning. In addition to clear and concise guidelines on how to develop and use quality classroom assessments, the author also focuses on the teaching…

Computerized adaptive testing (CAT) has gained deserved popularity in the administration of educational and professional assessments, but continues to face test security challenges. To ensure sustained quality assurance and testing integrity, it is imperative to establish and maintain multiple stable item pools that are consistent in terms of…

Motivation to read is crucial to improving reading skill. While there is extensive research examining reading motivation among elementary students, with respect to adolescents, research is limited. Employing a person-centered approach can aid in developing a better understanding of adolescent reading motivation and would help address possible…

To solve the attenuation paradox in computerized adaptive testing (CAT), this study proposes an item selection method, the integer programming approach based on real-time test data (IPRD), to improve test efficiency. The IPRD method turns information regarding the ability distribution of the population from real-time test data into feasible test…

In computerized adaptive testing, overexposure of items in the bank is a serious problem and might result in item compromise. We develop an item selection algorithm that utilizes the entire bank well and reduces the overexposure of items. The algorithm is based on collaborative filtering and selects an item in two stages. In the first stage, a set…

Two-phase testing assesses individual performance (phase 1) and then allows collaborative learning within small groups (phase 2). While groups typically outperform individuals, less is known about the social decision schemes that influence member collaboration. In a classroom setting, we compared individual and group performance on a standard test…

The purpose of this study is to describe and evaluate a multilingual automated essay scoring (AES) system for grading essays in three languages. Two different sentence embedding models were evaluated within the AES system, multilingual BERT (mBERT) and language-agnostic BERT sentence embedding (LaBSE). German, Italian, and Czech essays were…

This paper offers a brief yet evocative glimpse into marginalised pre-service teachers' (PST) experiences of teacher testing in Australia's High-stakes Literacy and Numeracy Test for Initial Teacher Education Students (LANTITE). Utilising Critical Disability Theory (CDT)in particular, Goodley's (2016) concept of neoliberal-ableism, we problematise…

Mathematics is a rich and beautiful playground of ideas, the apex of human creativity and ingenuity, applicable to all the world around us: humankind's best effort at understanding and describing the universe. Mathematics examinations aren't this. They're uninspiring and trauma-inducing, with an emphasis on routine calculations and easy-to-grade…

Equating error is usually small relative to the magnitude of measurement error, but it could be one of the major sources of error contributing to mean scores of large groups in educational measurement, such as the year-to-year state mean score fluctuations. Though testing programs may routinely calculate the standard error of equating (SEE), the…

ETS experts are exploring and defining the standards for responsible AI use in assessments. A comprehensive framework and principles will be unveiled in the coming months. In the meantime, this document outlines the critical areas these standards will encompass, including the principles of: (1) Fairness and bias mitigation; (2) Privacy and…

This study investigated the impact of scoring polytomous items later on measurement precision, classification accuracy, and test security in mixed-format adaptive testing. Utilizing the shadow test approach, a simulation study was conducted across various test designs, lengths, number and location of polytomous item. Results showed that while…

The 0.05 boundary within Null Hypothesis Statistical Testing (NHST) "has made a lot of people very angry and been widely regarded as a bad move" (to quote Douglas Adams). Here, we move past meta-scientific arguments and ask an empirical question: What is the psychological standing of the 0.05 boundary for statistical significance? We…