As artificial intelligence (AI) technologies are increasingly pervasive in our daily lives, the need for students to understand the working mechanisms of AI technologies has become more urgent. Data modeling is an activity that has been proposed to engage students in reasoning about the working mechanism of AI technologies. While Computational…

An ability to engage in system thinking is necessary to understand complex problems. While many pre-college students use system modeling tools, there is limited evidence of student reasoning about causal relationships that interact in diverging and converging chains, and how these affect system behavior. A chemistry unit on gas phenomena was…

Many researchers have reported that bridging analogies can productively support students' scientific meaning-making. How this can be understood semiotically is, however, not well understood. This research followed an ethnographic case study approach to investigate Year 11 students meaning-making through a process of transduction (Kress, 2000;…

The problem that this action research study addressed was the ineffective facilitation strategies used in professional development for teachers. The purpose of the study was to determine whether reflective practices impact teachers' instructional decisions. The study used Cognitive Coaching, a reflective coaching model, as its intervention. To…

Theories of grounded and embodied cognition offer a range of accounts of how reasoning and body-based processes are related to each other. To advance theories of grounded and embodied cognition, we explore the "cognitive relevance" of particular body states to associated math concepts. We test competing models of action-cognition…

Theories of grounded and embodied cognition offer a range of accounts of how reasoning and body-based processes are related to each other. To advance theories of grounded and embodied cognition, we explore the "cognitive relevance" of particular body states to associated math concepts. We test competing models of action-cognition…

The study aimed to develop a cross-disciplinary integrative STEM (i-STEM) robotics curriculum by the thematic integration approaches of webbed and threaded models, and to understand high school students' cognitions, attitudes, and interests in robotics STEM after the instruction. The concurrent mixed methods including quantitative experimental…

Cognitive Load Theory's Four Component Instructional Design (4C/ID) Model has been used in mathematics education but not confirmed as an instructional theory. Using the Factors Influencing College Success in Mathematics (FICSMath) project and confirmatory factor equation modeling, we empirically validated the model and created the 4C/IDMath Model.…

Two alternative versions of a model of the cognitive decision-making processes of gifted and talented adolescents associated with occupational or career indecision were tested in this study. A psychometrically rigorous survey instrument was used to collect data from 664 adolescents attending three academically selective high schools in Sydney,…

In this paper, we present a case study of a pair of students as they use nondisciplinary communicative practices to mechanistically reason about binary star dynamics. To do so, we first review and bring together the theoretical perspectives of social semiotics and embodied cognition, therein developing a new methodological approach for analyzing…

As scientific models of student thinking, learning progressions (LPs) have been evaluated in terms of one important, but limited, criterion: fit to empirical data. We argue that LPs are not empirically adequate, largely because they rely on problematic assumptions of theory-like coherence in students' thinking. Through an empirical investigation…

According to our approach to mathematics education, the optimal aim of the teaching of mathematics is to assist students in achieving efficient mathematical work. But, what does efficient exactly mean in that case? And how can teachers reach this objective? The model of Mathematical Working Spaces with its three dimensions--semiotic, instrumental,…

Applications of traditional unidimensional item response theory models to passage-based reading comprehension assessment data have been criticized based on potential violations of local independence. However, simple rules for determining dependency, such as including all items associated with a particular passage, may overestimate the dependency…

Three competing models of the career decision-making thought processes of adolescents of high intellectual ability were tested in this study. Survey data were collected from 664 intellectually gifted Australian adolescents and analyzed using structural equation modeling procedures. The finally accepted, optimal model suggested that, regardless of…

In this article, we describe a model for reading engagement that emerged from interviews with high school students who participated in a yearlong supplemental intervention course. The course focused on motivation, strategies, content learning, and communication within the context of themed instruction. We sought to ascertain instructional factors,…