This report characterizes forms of dialogic support that a sixth-grade teacher generated during whole-class and small-group conversations to help students develop a practice of statistical modeling. During four weeks of instruction, students constructed and revised models to account for variability and uncertainty across a variety of random…

Past laboratory work has shown that exposure to similar peers who represent success in STEM (i.e., math-talented female peer role models) can bolster female college students' math performance and STEM experiences. What is less clear is how students at intersecting identities of gender, ethnicity, and math identification differ in their similarity…

ChatGPT and other LLMs are at the forefront of pedagogical considerations in classrooms across the academy. Many studies have spoken to the technology's capacity to generate one-off texts in a variety of genres. This study complements those by inquiring into its capacity to generate compelling texts at scale. In this study, we quantitatively and…

Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on DSEM, especially on widely applied DSEM such as the two-level vector autoregressive (VAR) cross-lagged models, however, is understudied. To fill the…

A full structural equation model (SEM) typically consists of both a measurement model (describing relationships between latent variables and observed scale items) and a structural model (describing relationships among latent variables). However, often researchers are primarily interested in testing hypotheses related to the structural model while…

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…