Scoring high-dimensional assessments (e.g., > 15 traits) can be a challenging task. This paper introduces the multilabel neural network (MNN) as a scoring method for high-dimensional assessments. Additionally, it demonstrates how MNN can score the same test responses to maximize different performance metrics, such as accuracy, recall, or…

The knowledge of the materials to be taught to the students is the basic knowledge that preservice mathematics teachers should possess, as they need to prepare themselves for teaching. In order to research preservice teachers' understanding of the subject matter and teaching skils, valid and reliable test instruments are required. Knowledge of…

Background: Automated writing evaluation (AWE) systems, used as formative assessment tools in writing classrooms, are promising for enhancing instruction and improving student performance. Although meta-analytic evidence supports AWE's effectiveness in various contexts, research on its effectiveness in the U.S. K-12 setting has lagged behind its…

In order for climate literacy assessments to be applicable in large-scale studies, it is essential that they comply with the standards of test administration while maintaining consistency with a comprehensive definition of the concept. In alignment with the different educational frameworks and the Climate Literacy Principles of the U.S. Global…

Cognitive diagnostic models (CDMs) have received much interest within the field of language testing over the last decade due to their great potential to provide diagnostic feedback to all stakeholders and ultimately improve language teaching and learning. A large number of studies have demonstrated the application of CDMs on advanced large-scale…

Nursing education programs are faced with urgent demands to transition to competency-based education (CBE) to address the limitations of the nursing workforce. The AACN (2021) has developed the Essentials, or the core competencies for graduating entry- and advanced-level nurses to inform CBE. A concept analysis of Foundational Competence was…

Automatic item generation may supply many items instantly and efficiently to assessment and learning environments. Yet, the evaluation of item quality persists to be a bottleneck for deploying generated items in learning and assessment settings. In this study, we investigated the utility of using large-language models, specifically Llama 3-8B, for…

A critically important balance in educational measurement between practical concerns and matters of technique has atrophied in recent decades, and as a result, some important issues in the field have not been adequately addressed. I start with the work of E. F. Lindquist, who exemplified the balance that is now wanting. Lindquist was arguably the…

Creating assessment questions aligned to standards is a time-consuming task for teachers, but large language models such as ChatGPT can help. Bryan Drost & Char Shryock describe a three-step process for using ChatGPT to create assessments: 1) Ask ChatGPT to break standards into measurable targets. 2) Determine how much time to spend on each…

In this paper, we investigated the impact of an online classroom-based reading assessment on implementing practices in reading instruction among 30 EFL learners in an intermediate reading course at a public university in East Java, Indonesia. Our study aimed to develop an online classroom-based reading assessment and evaluate its efficacy in…

"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…

High-quality assessments are crucial to many aspects of the educational process. They can help policymakers monitor long-term educational trends, assist state educational agencies (SEAs) and local educational agencies (LEAs) in allocating resources and professional development opportunities, provide insights to teachers about how well students…

Large introductory classes, with their expansive curriculum, demand assessment strategies that blend efficiency with reliability, prompting the consideration of multiple-choice (MC) tests as a viable option. Crafting a high-quality MC test, however, necessitates a meticulous process involving reflection on assessment format appropriateness, test…

Assessment refers to a broad array of approaches for measuring or evaluating a person's (or group of persons') skills, behaviors, dispositions, or other attributes. Assessments range from standardized tests used in admissions, employee selection, licensure examinations, and domestic and international largescale assessments of cognitive and…

While the field advocates for a diversified and comprehensive professional role (National Association of School Psychologists, 2020), school psychologists have long spent most of their time in assessment-related activities (Farmer et al., 2021), averaging about eight cognitive evaluations monthly (Benson et al., 2020). Assessment practices have…