In the PISA 2022 creative thinking test, students provide a response to a prompt, which is then coded by human raters as no credit, partial credit, or full credit. Like many large-scale educational testing frameworks, PISA uses the generalized partial credit model (GPCM) as a response model for these ordinal ratings. In this paper, we show that…

Direct assessments of early childhood development (ECD) are a cornerstone of research in developmental psychology and are increasingly used to evaluate programs and policies in lower- and middle-income countries. Despite strong psychometric properties, these assessments are too expensive and time consuming for use in large-scale monitoring or…

The main aim of this study was to evaluate the Early Grade Writing Assessment for Kindergarten (EGWA-K), which is grounded in foundational literacy skills, for its validity and diagnostic accuracy in identifying children at risk of developing early learning disabilities in writing (LDW). To the best of our knowledge, no such tool exists for…

Purpose: This article's purpose is to examine the manifestations of the evolving modern society and what we now identify as civics or other contemporary social issues in the final examination questions from 1914 to 1937 at four teacher education institutions in Uppsala, Falun, Lund, and Landskrona. Design/methodology/approach: The method can be…

Driven by technological innovations, continuous digital expansion has transformed fundamentally the landscape of modern higher education, leading to discussions about evaluation techniques. The emergence of generative artificial intelligence raises questions about reliability and academic honesty regarding multiple-choice assessments in online…

This paper informs users of data collected in international large-scale assessments (ILSA), by presenting argumentsunderlining the importance of considering two design features employed in these studies. We examine a commonmisconception stating that the uncertainty arising from the assessment design is negligible compared with that arisingfrom the…

The study examined the psychometric structure of Basic Needs Satisfaction in General Scale (BNSG-S) with a sample of 495 college students. It compared the original 21-item version (Gagné, 2003) with the shortened 16-item version (Johnston & Finney, 2010), both with and without method effects. A series of confirmatory factor analyses (CFA)…

This study explores the use of artificial intelligence in grading high-stakes physics exams, emphasizing the application of psychometric methods, particularly item response theory, to evaluate the reliability of AI-assisted grading. We examine how grading rubrics can be iteratively refined and how threshold parameters can determine when…

Purpose: Vocabulary skills in children are typically measured with norm-referenced assessments of receptive and expressive vocabulary. Language sample analysis is an alternative method of examining vocabulary actually produced in communicative events and may be better suited to exposing subtle vocabulary weaknesses. Here, we examine the…

Purpose: The lack of appropriate assessments affects populations presumed to be most at risk for speech and language concerns, one of them being children with a history of preterm birth. This study aims to examine whether cultural bias is present in two currently available language tests for Black children under 3 years of age: the Communication…

This study presents the validation of a Technological Pedagogical Content Knowledge (TPACK) scale tailored explicitly for primary mathematics teachers in China. Recognizing the gap in context-specific TPACK assessment tools, the research aims to provide an instrument that aligns with the unique educational landscape of China. Utilizing established…

The present study examined the posited structure of the Wechsler Intelligence Scale for Children--Fifth Edition (WISC-V) ancillary index scores with normative sample participants aged 6-16 years (N = 2200) using a series of confirmatory factor analyzes (CFA) with maximum likelihood estimation. CFA results supported the retention of auditory…

While generative artificial intelligence (AI) empowers students in their learning, it may also have the potential to undermine their learning agency. Understanding student learning agency in the generative AI-supported contexts (SLA-GAI) has become critical for educators. However, student learning agency is a domain-specific construct, current…

An interdisciplinary curriculum provides integration of students' subjects and lives, guiding students to understand and engage with changes in the world through real situations and problems, with teachers playing a critical role. However, there is no assessment tool to explore teachers' interdisciplinary role perceptions (TIRP). In this study, an…

Summative assessments are often underused for feedback, despite them being rich with data of students' applied knowledge and clinical and professional skills. To better inform teaching and student support, this study aims to gain insights from summative assessments through profiling students' performance patterns and identify those students…