While the distinction between academic disciplines and school subjects has received some attention, the question of which subject matter content knowledge (CK) teachers need as a foundation for initial teacher development has been raised. In science education, Teacher-related Science Content Knowledge (TerSCK) has been conceptualized to model the…

To mitigate the potential damaging consequences of rapid guessing (RG), a form of noneffortful responding, researchers have proposed a number of scoring approaches. The present simulation study examines the robustness of the most popular of these approaches, the unidimensional effort-moderated (EM) scoring procedure, to multidimensional RG (i.e.,…

Over the past three decades, the K-12 multilingual English learner (ML-EL) population has grown both numerically and geographically; over three-quarters of public schools now enroll ML-EL students. Districts new to serving ML-ELs often struggle to develop the systems, structures, and policies necessary to comply with federal guidelines governing…

The International English Language Testing System (IELTS) is a high-stakes exam where Writing Task 2 significantly influences the overall scores, requiring reliable evaluation. While trained human raters perform this task, concerns about subjectivity and inconsistency have led to growing interest in artificial intelligence (AI)-based assessment…

Setting cutoff scores is one of the most common practices when using scales to aid in classification purposes. This process is usually done univariately where each optimal cutoff value is decided sequentially, subscale by subscale. While it is widely known that this process necessarily reduces the probability of "passing" such a test,…

The application of multiple-choice tests often does not consider the scoring technique and the number of choices. The study aims at describing the effect of the scoring technique and numerous options towards the reliability of multiple-choice objective tests on social subjects in elementary school. The study is quantitative research with…

Technology education, or design technology as it is known elsewhere, supports learners to develop technological literacy by providing them with the opportunity to, amongst others, develop and apply the preset design process to solve technological problems. This subject requires learners to develop authentic technological solutions. As a result,…

Well-crafted rubrics create a shared language that lets teachers and students work together. Rubrics are typically used to judge the level of students' understanding and skills or quality of a product. High-quality rubrics can also give students and teachers feedback to improve teaching and learning. Authors define "effective" feedback…

We systematically compared two coding approaches to generate training datasets for machine learning (ML): (1) a holistic approach based on learning progression levels; and (2) a dichotomous, analytic approach of multiple concepts in student reasoning, deconstructed from holistic rubrics. We evaluated four constructed response assessment items for…

Effort-moderated (E-M) scoring is intended to estimate how well a disengaged test taker would have performed had they been fully engaged. It accomplishes this adjustment by excluding disengaged responses from scoring and estimating performance from the remaining responses. The scoring method, however, assumes that the remaining responses are not…

This article explores the application of journal quality and credibility evaluation tools to library science publications. The researchers investigate quality and credibility attributes of forty-eight peer-reviewed library science journals with open access components using two evaluative tools developed and published by librarians. The results…

Recent developments in computerized scoring via semantic distance have provided automated assessments of verbal creativity. Here, we extend past work, applying computational linguistic approaches to characterize salient features of creative text. We hypothesize that, in addition to semantic diversity, the degree to which a story includes…

Assessing student knowledge based on their writing using traditional qualitative methods is time-consuming. To improve speed and consistency of text analysis, we present our mixed methods development of a machine learning predictive model to analyze student writing. Our approach involves two stages: first an exploratory sequential design, and…

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…

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…