We interrogate the opportunities and challenges of using mixed methods (MM) within a developmental evaluation (DE) context by drawing on two illustrative cases that investigated educational change in Canada. Methods: Multi-case design and cross-case analysis, with a focus on examining common patterns across the two cases, enabling new ways of…

The profound advancements in technology have rendered novel forms of data and data visualisation increasingly accessible to individuals within society, thereby influencing daily decision-making processes. To address this change, this study sets out to review recent research on data-driven inquiries at the K-12 level from two perspectives:…

There is considerable variability in the literacy assessments taken in Kindergarten through second grade, across schools and between multilingual learners and other students, and within students over time. This makes it difficult to study changes in students' acquisition of ELA skills in these formative years, or to evaluate policies and practices…

Purpose: This study is part of a participatory design research project and aims to develop and study pedagogical frameworks and tools for integrating computational thinking (CT) concepts and data science practices into elementary school classrooms. Design/methodology/approach: This paper describes a pedagogical approach that uses a data science…

Given the hegemony of developmentalism in early childhood education and care, this article uses a poetic juxtapositional approach to bewilder Piaget's theory of cognitive development. Critical consideration of how the theory of cognitive development has contributed to the imagining of a universal, ahistorical child and childhood(s) are discussed…

Over the course of 18 months, teams at the University of Chicago and Stanford University joined with other leaders across the United States and world to consider the issue of the types of mathematics used in the classroom. It quickly became clear that all students--starting from the youngest in prekindergarten to those in college--need to learn…

Understand the science of reading and how to implement evidence-based instruction to increase the reading and writing achievement of pre-K-6 students, including those at risk for reading difficulties. Fully revised and updated, this core text covers the research base for structured literacy instruction and practical guidance on the essential…

In this article, the authors introduce the "Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II): A Framework for Statistics and Data Science Education" report. This report, which was published by the American Statistical Association (ASA) and endorsed by the National Council of Teachers of Mathematics…

Integrating engineering design into K-12 curricula is increasingly important as engineering has been incorporated into many STEM education standards. However, the ill-structured and open-ended nature of engineering design makes it difficult for an instructor to keep track of the design processes of all students simultaneously and provide…

The COVID-19 pandemic brought booming economies, seemingly world-class health care systems, educational infrastructures, and the lives and well-being of nations to a complete standstill. Georgia was one of the few states that released their Shelter-in-Place order early, while reports suggest that Black communities have disproportionally higher…

Current teacher preparation programs have received scrutiny for failing to sufficiently support teachers in valuing and developing their knowledge of data literacy. The current study explores a collaborative approach to increasing pre-service teachers' experiences with data literacy by including under-utilized data experts: school psychologists.…

K-12 students are expected to acquire competence in data display as part of developing statistical literacy. To support research, assessment design, and instruction, we developed a hypothesized learning progression (LP) using existing empirical literature in the fields of mathematics and statistics education. The data display LP posits a…

Authentic, "messy data" contain variability that comes from many sources, such as natural variation in nature, chance occurrences during research, and human error. It is this messiness that both deters potential users of authentic data and gives data the power to create unique learning opportunities that reveal the nature of science…

Fredrich Froebel was a scientist, both in instinct and in training, and his life coincided with an important and dynamic period of scientific growth. I take this opportunity to delve both into some history and futurology to examine the heritage and legacy of his work. The usual of interpolation is of reading into data: where there exist some…

This article documents a collaborative project involving preservice early childhood education students' development of inquiry-based learning experiences alongside kindergarten students within a science methods course. To document this project, I utilized a multiple methods approach and data included classroom observations, transcripts from lesson…