In this article, the author describes the practice of active learning with Federal Reserve Economic Data (FRED). First, he outlines the broad intellectual context of learning with and about economic data, summarizing the recent scholarly contributions made to the topic. Next, the author presents several strategies for teaching with FRED in the…

Engaging in culturally responsive practices is considered best practice in classroom instruction, particularly within diverse schools, however, when making data-based decisions, there is little guidance for culturally responsive practitioners on how to engage in this work. This article introduces a model of culturally responsive data-based…

Connecting teachers' perspectives with their practice is an enduring challenge shaping what and how we understand teaching. Researchers tend to bifurcate teachers' work between their private and their public lives. These "worlds" bring particular meanings that are rendered through the analyses of visual documentations of teaching and…

When students struggle with reading, school-based teams seek more information about why those students are struggling in order to provide instruction that will meet the students' needs. This process occurs for students needing Tier 2 or 3 instruction and students with disabilities who have reading goals. Reading specialists, special education…

Data mining of course enrollment and course description records has soared as institutions of higher education begin tapping into the value of these data for academic and internal research purposes. This has led to a more than doubling of papers on course prediction tasks every year. The papers often center around a single prediction task and…

National failure rates seen in undergraduate introductory CS courses are quite high. In this paper, we develop a predictive model for student in-class performance in an introductory CS course. The model can serve as an early warning system, flagging struggling students who might benefit from additional support. We use a variety of features from…

The purpose of this paper is to analyze various dimensions for measurement of human behavior. Human behaviour is complex. Behaviors, emotions, cognitions, and attitudes can rarely be described in terms of one or two variables. It is multimodal in nature. Furthermore, the traits, modalities and dimensions cannot be measured directly, but must be…

The COVID epidemic has provided an excellent example of the need to call on a wide variety of statistical tools to address a global problem, and can give students insights into some of the dimensions of data science. Here, we describe some of the characteristics of data that students encounter as citizens. We set out some teaching ideas, which…

The changing landscape of science and science education has provided an impetus to re-imagine how science can be taught in schools. The dawn of the Big Data era, especially in astronomy, and the notion of "Science as Practice" are some of the developments driving this need for a re-imagination of science education. This current work…

Evidence suggests that the quality of teachers' instructional practices can be improved when these are informed by relevant assessment data. Drawing on a sample of 1,300 primary school teachers in Ireland, this study examined the extent to which teachers use standardized test results for instructional purposes as well as the role of several…

In the era of digitalization of learning and teaching processes, Educational Data Literacy (EDL) is highly valued and is becoming essential. EDL is conceptualized as the ability to collect, manage, analyse, comprehend, interpret, and act upon educational data in an ethical, meaningful, and critical manner. The professionals in the field of…

A shifting policy landscape in Australian teacher education has led to the introduction of teaching performance assessment tasks in initial teacher education degrees, foregrounding data literacy practices. The aim of this research was to explore pre-service teachers' uses of data to inform and evaluate their teaching practice as demonstrated in…

Acting to dismantle structural racial inequities begins with identifying and clearly naming the challenges being faced. Data play a powerful role in this process. Several recent publications synthesize data sources, research findings, and expert recommendations to inform and guide equity improvement efforts. A five-part "Statement of the…

In wealthy countries such as Australia, learning and teaching practices in schools have become increasingly digitised as educational technology (EdTech) initiatives gather momentum. This digitisation inevitably involves rendering many dimensions of students' bodies, activities and practices into digital data formats across learning areas:…

In a dedicated effort to build high-quality, equitable career pathways Advance CTE, in partnership with Education Strategy Group through JPMorgan Chase & Co.'s "New Skills ready network," released "Practical Guidance for Aligning Career Pathways to Labor Market Data in the Time of COVID-19." This policy brief is the first…