It is common to find mixed-format data results from the use of both multiple-choice (MC) and constructed-response (CR) questions on assessments. Dealing with these mixed response types involves understanding what the assessment is measuring, and the use of suitable measurement models to estimate latent abilities. Past research in educational…

This article provides a process to carefully evaluate the suitability of a content domain for which diagnostic classification models (DCMs) could be applicable and then optimized steps for constructing a test blueprint for applying DCMs and a real-life example illustrating this process. The content domains were carefully evaluated using a set of…

Cognitive load studies are mostly centered on information on perceived cognitive load. Single-item subjective rating scales are the dominant measurement practice to investigate overall cognitive load. Usually, either invested mental effort or perceived task difficulty is used as an overall cognitive load measure. However, the extent to which the…

In many countries, standardized math tests are important for achieving academic success. Here, we examine whether content of items, the story that explains a mathematical question, biases performance of low-SES students. In a large-scale cohort study of Trends in International Mathematics and Science Studies (TIMSS)--including data from 58…

Understanding test-taking strategies (TTSs) and the variables that influence TTSs is crucial to understanding what reading comprehension tests measure. We examined how passage and student characteristics were associated with TTSs and their impact on response accuracy. Third (n = 78), fifth (n = 86), and eighth (n = 86) graders read and answered…

As highlighted in the literature, one of the main difficulties in mathematics is the management of different semiotic representations. This difficulty occurs in verticals throughout schooling and is often an obstacle to the proper learning process of mathematics. The present study aims to investigate the different facets of these difficulties with…

The aim of this study is to construct a STEM competencies assessment framework and provide validity evidence by empirically testing its structure. Common interdisciplinary assessment frameworks for STEM seem to be scarce in the literature. Many studies use students' mathematics or science scores obtained from large-scale assessments or exams to…

Systems thinking (ST) is an essential competence for future life and biology learning. Appropriate assessment is critical for collecting sufficient information to develop ST in biology education. This research offers an ST framework based on a comprehensive understanding of biological systems, encompassing four skills across three complexity…

This study was conducted to reveal potential sources of students' difficulty and misconceptions about geometrical concepts with the help of eye tracking. In this study, the students' geometrical misconceptions were explored by answering the questions on the geometry test prepared based on the literature and test-taking processes and represented…

Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…

Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…

This paper introduces AMMORE, a new dataset of 53,000 math open-response question-answer pairs from Rori, a mathematics learning platform used by middle and high school students in several African countries. Using this dataset, we conducted two experiments to evaluate the use of large language models (LLM) for grading particularly challenging…

This article proposes a class of cognitive diagnosis models (CDMs) for polytomously scored items with different link functions. Many existing polytomous CDMs can be considered as special cases of the proposed class of polytomous CDMs. Simulation studies were carried out to investigate the feasibility of the proposed CDMs and the performance of…

Science education should help unleash the creative potential of students, for which an instrument to accurately assess creativity is required. This study aims to develop and validate such a scale to assess science classroom creativity (SCC), which is the creativity expressed by students in the process of learning either individually or…

This study aims to evaluate exam questions set by science teachers for eighth grade students and science questions from a central high school entrance exam (HSEE) according to the Revised Bloom's Taxonomy (RBT). In this study, document analysis technique was employed, as one of the recognized methods of qualitative research. The HSEE science…