The ability to interpret and compare data distributions is an important educational goal. Inherent in the statistical concept of distribution is the need to focus not only on individual data points or small groups of data points (so-called local view), but to perceive a distribution as a whole, allowing to recognize global features such as center,…

With teacher shortages, high staff turnover, and an influx of new and underprepared teachers, highly capable data-informed teaching teams are needed now more than ever. "Instructional Innovation+" provides educators with a systematic action research approach to achieve instructional innovation and guide teaching teams to success through…

This paper offers a creative methodology for co-creating and analysing data when conducting research with children, families and practitioners in the early years. Instead of relying heavily on either adult observation or language when, for example, interviewing children, we propose the method of choreographed visual montage. We show the novelty…

In this paper, we report findings from a multiple case study that examined how instructors used shared data when teaching qualitative data analysis. More specifically, we explored both instructor and student experiences in two graduate-level qualitative methods courses located at U.S. universities. Drawing upon thematic analysis and the theory of…

This article details an exploratory data analysis project using the Common Online Data Analysis Platform (CODAP) based on the "Guidelines for Assessment and Instruction in Statistics Education" (GAISE) four-part statistical problem-solving model. The project goal was to answer what similarities and differences exist within the school…

States often lack timely, specific information about where teachers are needed the most. This information gap is compounded by the way public schools typically pay teachers--based on experience and academic credentials rather than supply and demand conditions--which sends weak signals to potential teachers about which positions are most in-demand…

Purpose: While designing personally meaningful activities with data technologies can support the development of data literacies, this paper aims to focuses on the overlooked aspect of how learners navigate tensions between personal experiences and data trends. Design/methodology/approach: The authors report on an analysis of three student cases…

Everyone who uses student information has a responsibility to maintain students' privacy and the security of their data. Ensuring student data privacy is about so much more than complying with the Family Educational Rights and Privacy Act (FERPA). While privacy must be top of mind when thinking about collecting and using personally identifiable…

This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…

In contexts where people lack prior knowledge and risk awareness--such as the COVID-19 pandemic--even truthful visualizations of data can seem surprising. This can lead people to mistrust the veracity of the data and to discount it, leading to poor risk decisions. In this work, we illustrate how narrative visualizations can achieve a balance…

Missing data are common with large scale assessments (LSAs). A typical approach to handling missing data with LSAs is the use of listwise deletion, despite decades of research showing that approach can be a suboptimal strategy resulting in biased estimates. In order to help researchers account for missing data, we provide a tutorial using R and…

Continuous improvement (CI) methods are growing in popularity around the world as approaches to leadership and educational change. There has been particular interest in using CI methods such as collaborative data inquiry to address racial inequities in schools. But these 'wicked' problems are, in many ways, more complex and uncertain than the…

While previous educational governance literature on datafication has paid attention to comparison across spatial entities like countries and schools, temporal comparison in terms of progression (including prediction) has received less attention. One of the material forms in which progression and prediction data are circulated is the visual form of…

This article reports on a systematic review of journal articles that used dyadic interviews, also known as paired or joint interviews. The two basic formats for these interviews involve either interviewing participants separately or together, plus the additional possibility of using both formats in the same study. A search using the Social Science…

Teacher classroom teaching behavior indicators serve as a crucial foundation for guiding instructional evaluation. Existing indicator system suffers from limitations such as strong subjectivity and weak contextual generalization capabilities. Generalized category discovery (GCD) enables automatic data clustering to identify known categories and…