The recent focus on learning analytics (LA) to analyze temporal dimensions of learning holds the promise of providing insights into latent constructs, such as learning strategy, self-regulated learning (SRL), and metacognition. These methods seek to provide an enriched view of learner behaviors beyond the scope of commonly used correlational or…

The aim of this research is to examine the trends of the studies that address the education-training dimension of creativity in Turkey. The research was conducted using a qualitative research pattern. The data was collected and analyzed through document analysis. In the analysis of the data, the thesis analysis form developed by the researchers…

A distinctive feature of game-based learning environments is their capacity to create learning experiences that are both effective and engaging. Recent advances in sensor-based technologies such as facial expression analysis and gaze tracking have introduced the opportunity to leverage multimodal data streams for learning analytics. Learning…

As the competition for student enrollment has increased over the past several years, the pressure on the enrollment manager has increased proportionally. Managing enrollment expectations for institutional stakeholders requires effective communication, leadership, and the sharing of data with effective context. This article provides guidance on how…

The Mosaic approach has been used as a form of participatory research for over two decades. It has been popular with researchers in the early childhood education and disability sectors because it encourages the participants to utilise a large range of communication tools, rather than relying on verbal and written data. Promoters of the Mosaic…

Social connections between individuals are often an important source of information for both quantitative and qualitative anthropological research. Here, we seek to understand the relative strengths and weaknesses of sociometric and ethnographic representations of social connections. We do this by comparing network data collected using a…

In this digital ITEMS module, Dr. Sue Lottridge, Amy Burkhardt, and Dr. Michelle Boyer provide an overview of automated scoring. Automated scoring is the use of computer algorithms to score unconstrained open-ended test items by mimicking human scoring. The use of automated scoring is increasing in educational assessment programs because it allows…

Engaging students in assessment practice benefits honors students, faculty, and administrators. Students gain meaningful research experience while honors programs receive data to help assess student learning and prepare for program review. A one-semester course, Program Evaluation Experiences, tasks students (n = 10) with collecting and analyzing…

One ethnoracial reporting category perplexes higher education researchers: "race and ethnicity unknown." Using the Integrated Postsecondary Education Data System (IPEDS), we constructed a 28-year panel of 4,401 institutions. We find that the for-profit sector ranges from 5% to 18% "race unknown" students. In addition, almost…

This concluding essay offers a reflection on the set of the papers contained in this special issue of the Educational Assessment journal. In it the author situates formative assessment squarely in the realm of teachers' continuous professional learning and considers the essential nature of formative assessment as centering on three questions that…

While much has been written about the personal, social, and democratic benefits of networked communities and participatory learning, critics have begun to draw attention to the ubiquitous data collection and computational processes behind mass user platforms. Personal and behavioral data have become valuable material for statistical and machine…

The UK census authorities have proposed guidance for the 2021 census indicating that the sex question may be answered according to subjective gender identity. This raises issues about the measurement of sex and gender identity which other data collection exercises are also contending with. This paper addresses the questions that have arisen…

This article discusses issues concerning the spread of data-driven educational technologies in Brazil. Here, as elsewhere, educational technology continues to be promoted optimistically as the bearer of a panacea for historically-rooted social problems. Whilst some of these technologies have indeed contributed to important widening-participation…

This article discusses how each of the papers in this special issue explored some combination of subject, audience, and data scientist perspectives with an eye toward helping students situate their relationship to data. Specifically, within the data scientist perspective, the papers examined a variety of ways in which students can relate to data…

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…