Datafication of student learning has carved out an influential space for public and private actors who design technologies for visualizing data. As data visualizations shape how teachers' interpret data, they are powerful devices. This paper examines how teachers get configured as data users in the making of Danish national test data…

Noncredit enrollment at community colleges has grown significantly over the past two decades. However, unlike credit bearing programs, noncredit programs are seldomly empirically examined and evaluated, particularly those that are not grant funded. The lack of data results in a gap in knowledge about program effectiveness, as well as the students…

This article reports on an innovative Social Media Marketing Analytics course that was developed to respond to current industry needs for marketing analysts with data-driven and multiperspective marketing strategy development skills. Teaching approaches, resources, and insights are shared to encourage future development of similar courses.

We briefly review the emergence of internet research ethics (IRE) since 2000 across three stages, showing how the last, IRE 3.0, focuses on ethical challenges and issues evoked by Big Data. We explore specific examples of IRE 3.0 as occasioned by requirements for informed consent -- including Big Data analyses of a closed Facebook group -- as…

The coming of Big Data is offered as a salve that will reduce global inequalities and grow national economies. The chapter pursues how notions of progress have traveled into schooling through technology and generate differences and exclusions in the past and present. The chapter explores how transnational school reforms during the colonial era…

This study aims to compare the analytical processes involved in two theorizing approaches applied to secondary qualitative data. To this end, the two authors individually analyzed the same raw material, one using the grounded theory approach and the other using the general inductive approach. Our comparison of these processes brought out the…

One of the biggest challenges that states and local intermediaries face in setting up and scaling high-quality youth apprenticeships is gathering relevant, accurate and actionable data. High-quality data is an essential ingredient for a strong youth apprenticeship program because it equips state and local leaders to evaluate impact, monitor…

The Integrated Postsecondary Education Data System (IPEDS) collects institution-level data from postsecondary institutions in the United States (50 states and the District of Columbia) and other U.S. jurisdictions. This "First Look" is a revised version of the preliminary report released on July 18, 2017. It includes fully edited and…

The Data Quality Campaign (DQC) has been reviewing state report cards for the past seven years. They continue to examine the landscape of state report cards because they believe states must increase transparency and build trust by sharing information. But after many years, it was time to look at state report cards with fresh eyes. In addition to…

Artificial intelligence (AI) has been widely adopted in higher education. However, the current research on AI in higher education is limited lacking both breadth and depth. The present study fills the research gap by exploring faculty members' perception on teaching AI and data science related courses facilitated by an open experiential AI…

Progress monitoring data are central to making informed decisions on intervention intensification for struggling learners. The general outcome measure (GOM) of curriculum-based measurement of oral reading fluency (CBM-R) has been found to correlate with high-stakes assessment; however, data are highly variable, resulting in decisions that must be…

In the context of Artificial Intelligence, Generative Adversarial Nets (GANs) allow the creation and reproduction of artificial data from real datasets. The aims of this work are to seek to verify the equivalence of synthetic data with real data and to verify the possibilities of GAN in educational research. The research methodology begins with…

This paper describes a randomized and controlled efficacy study conducted in high school biology classrooms across the USA. In this study, teachers implemented the use of Data Nuggets, activities designed to bring real research and data into the classroom. These materials can be embedded within the existing instructional modality of any given…

Why do I work? Despite instructors' best efforts, students struggle to understand how different people answer this question differently. This exercise enables students to explore what motivates them in comparison to their peers and previous generations while reinforcing the distinction between intrinsic and extrinsic motivation. Students…

High-quality systematic literature reviews provide a systematic process for identifying, synthesizing, and critiquing multiple studies and, in turn, inform theory, research, practice, and policy. With a focus on special education systematic reviews, we propose four core principles (i.e., coherence, contextualization, generativity, and…