Diagnostic classification models (DCMs) are psychometric models that yield probabilistic classifications of respondents according to a set of discrete latent variables. The current study examines the recently introduced one-parameter log-linear cognitive diagnosis model (1-PLCDM), which has increased interpretability compared with general DCMs due…

Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…

Forgiveness is usually analysed in terms of the benefits to victims or perpetrators. When referring to victims, attention is focused on overcoming the negative emotions caused by harm or achieving good that is important to them. In this article, the issue of the victims' responsibility for the personal and moral development of the perpetrators, as…

The investigation delves into examining the influence of 2-parameter logistic (PL) and 3-parameter logistic models on the ability estimates of students in mathematical binary items. It ascertained the parameters of the items in the 2-PL and 3-PL models. We employed Item Response Theory (IRT) in the design of this research survey, with a sample…

Role model interventions are often designed to foster students' pursuit of careers in science, technology, engineering, and mathematics (STEM). We hypothesize that role model interventions might also unintentionally shape students' beliefs concerning the broader social system--their ideologies--leading them to view the (inequitable) status quo in…

We conducted an extensive Monte Carlo study of factor-rotation local solutions (LS) in multidimensional, two-parameter logistic (M2PL) item response models. In this study, we simulated more than 19,200 data sets that were drawn from 96 model conditions and performed more than 7.6 million rotations to examine the influence of (a) slope parameter…

Purpose: This article aims to investigate the impact of the Lesson Study (LS) model on students' mathematics achievement and attitudes toward mathematics. Design/methodology/approach: The study employs a concurrent embedded design, a type of mixed methods design. Within this framework, a quantitative pretest-posttest control group…

This conceptual paper discusses 'unseen observation' as an alternative model of classroom observation to support teachers' professional learning. The paper starts with a critical synopsis of how observation has been appropriated principally as a performance management tool for monitoring teacher effectiveness in the UK. It argues that the…

Teacher-student interaction (TSI) is the core element and important teaching method of smart classroom. Improving the quality of smart classroom teaching and developing higher-order thinking (HOT) among students requires strengthening research on the TSI structure in smart classroom. At present, the structure model of TSI in smart classroom mainly…

Typically, vocabulary instruction is associated as part of reading instruction. However, vocabulary instruction is also a necessary component of mathematics instruction. In fact, state and national standards (e.g., Common Core State Standards) require elementary students to communicate about mathematics to provide clear explanations, construct…

Many instructional videos in mathematics education target knowledge of procedures and algorithms. To design instructional videos that support students in a non-algorithmic domain, such as mathematical modeling, we developed a framework based on research on heuristic worked examples and instructional videos. Because students' perceptions play an…

Background and Context: Gender research shows that women are better at reading comprehension. Other studies indicate a lower tendency in women to choose STEM professions. Since data modeling requires reading skills and also belongs in the areas of information systems and computer science (STEM professions), these findings provoked our curiosity.…

Despite the region's strong historic connection to Christianity, little research exists on Christian universities in the Caribbean. To complicate matters, the Caribbean is also little studied in higher education literature generally. Thus, this study examines how Christian universities in this region operationalize their faith identities in their…

Aim/Purpose: This study aims to develop a theoretical framework for enhancing students' higher-order thinking skills (HOTS) by integrating massive open online courses (MOOCs) with gamification elements. Background: There is a growing demand to develop students' innovative thinking abilities through MOOCs, focusing on higher-order thinking skills…

Item response theory (IRT) models the relationship between the possible scores on a test item against a test taker's attainment of the latent trait that the item is intended to measure. In this study, we compare two models for tests with polytomously scored items: the optimal scoring (OS) model, a nonparametric IRT model based on the principles of…