Machine learning methods can be used to reduce the manual workload in exam grading, making it possible for teachers to spend more time on other tasks. However, when it comes to grading exams, fully eliminating manual work is not yet possible even with very accurate automated grading, as any grading mistakes could have significant consequences for…

Automatic grading models are valued for the time and effort saved during the instruction of large student bodies. Especially with the increasing digitization of education and interest in large-scale standardized testing, the popularity of automatic grading has risen to the point where commercial solutions are widely available and used. However,…

In England, Wales and Northern Ireland, the General Certificate of Secondary Education (GCSE) has been for the last 35 years the most common qualification by which students' attainment at age 16 has been measured. The range and balance of processes by which the GCSEs' programmes of study have been assessed have varied over the decades, to include…

This article describes the development and administration of the "Kindergarten-Second Grade (K-2) Writing Data-Based Decision Making (DBDM) Survey." The "K-2 Writing DBDM Survey" was developed to learn more about current DBDM practices specific to early writing. A total of 376 educational professionals (175 general education…

Item compromise has long posed challenges in educational measurement, jeopardizing both test validity and test security of continuous tests. Detecting compromised items is therefore crucial to address this concern. The present literature on compromised item detection reveals two notable gaps: First, the majority of existing methods are based upon…

This study aimed to evaluate the item model fit by equating the forms of the PISA 2018 mathematics subtest with concurrent common items equating in samples from Türkiye, the UK, and Italy. The answers given in mathematics subtest Forms 2, 8, and 12 were used in this context. Analyzes were performed using the Dichotomous Rasch Model in the WINSTEPS…

The Reading the Mind in the Eyes Test (RMET) is a purported theory of mind measure and one that reliably differentiates autistic and non-autistic individuals. However, concerns have been raised about the validity of the measure, with some researchers suggesting that the multiple-choice format of the RMET makes it susceptible to the undue influence…

Visualizing effects of images on improved anatomical knowledge are evident in medical and allied health students, but this phenomenon has rarely been assessed in nursing students. To assess the visualizing effect of images on improving anatomical knowledge and to use images as one of the methods of gross anatomical knowledge assessment in nursing…

Purpose: This study compared the test characteristics, test-retest reliability, and test efficiency of three novel digits-in-noise (DIN) test procedures to a conventional antiphasic 23-trial adaptive DIN (D23). Method: One hundred twenty participants with an average age of 42 years (SD = 19) were included. Participants were tested and retested…

This document describes a set of best practices for developing, implementing, and maintaining the critical process of scoring constructed-response tasks. These practices address both the use of human raters and automated scoring systems as part of the scoring process and cover the scoring of written, spoken, performance, or multimodal responses.…

Although list-style open-ended questions generally help us gain deeper insights into respondents' thoughts, opinions, and behaviors, the quality of responses is often compromised. We tested a dynamic and a follow-up design to motivate respondents to give higher quality responses than with a static design, but without overburdening them. Our…

The author provides a checklist for educators who are selecting technically adequate tests for identifying and referring students for gifted education services and programs. The checklist includes questions related to how the test was normed, reliability and validity studies as well as questions related to types of scores, administration, and…

This study aims to examine the potential differences between teacher evaluations and artificial intelligence (AI) tool-based assessment systems in university examinations. The research has evaluated a wide spectrum of exams including numerical and verbal course exams, exams with different assessment styles (project, test exam, traditional exam),…

Across three experiments featuring naturalistic concepts (psychology concepts) and naïve learners, we extend previous research showing an effect of the sequence of study on learning outcomes, by demonstrating that the sequence of examples during study changes the representation the learner creates of the study materials. We compared participants'…

This study investigates the relationship between take-home (open-book) examinations (THE) and in-class (closed-book) examinations (ICE) on academic performance and student wellbeing. Two social science courses (one bachelor and one master) were included in the study. In the first cohort (2019), students from both courses performed an ICE, whereas…