It is suggested that students collect interarrival data for customers arriving at a queue. Two common features will often occur across these various datasets. Some data collection hints, some problems for students to pursue and a few pointers to the literature are given.

Caseload (student-to-staff ratio) is a metric commonly used by upper level administrators to inform budgetary allocations. Using a national, random sample we found that the average caseload is 133.0 students per disability practitioner. Institutions with one disability practitioner had a caseload of 154.9 students; institutions with two or three…

Using data from Lending Club, we analyzed funded loans between 2012 and 2013, the default status of which were mostly known in 2018. Our results showed that both the borrower characteristics and the conditions of the loan were significantly associated with the loan default rate. Results also showed that the sentiment of a user-written loan…

This overview outlines key issues in learning with an open learner model (OLM). Originally, learner models remained hidden, as their primary role was to enable a system to personalize the educational interaction. Opening the model in an understandable form provides additional methods of prompting reflection, planning, and other metacognitive…

This paper provides practical guidance for scholars and practitioners looking to develop more rigorous, comprehensive, and inclusive research that could guide proactive efforts to improve access, experiences, and outcomes for college students with disabilities. To do so, we (a) identify critical challenges affecting research and assessment related…

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 key element of statistical literacy is the construction and interpretation of graphs. In this article, the author uses examples of student work (Years 3 and 4), at an Australian school, to show some of the complex steps involved in creating a formal graph from a data table. Over time the student's observations and understanding become more…

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…

This paper proposes the method of 'narrative portraiture', which, located within the wider field of narrative studies, offers an analytical tool to narrative data. Two research projects, one on disability and one on identity, are used to illustrate how the method can be applied. While the paper will focus on the methodological benefits and…

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…

Meta-analyses of clinical trials typically focus on one outcome at a time. However, treatment decision-making depends on an overall assessment of outcomes balancing benefit in various domains and potential risks. This calls for meta-analysis methods for combined outcomes that encompass information from different domains. When individual patient…

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…

This paper uses the notion of the data-doppelganger as a theoretical lens through which to view the datafication of education. The data-doppelganger is the version of the self which exists in the significant quantities of data collected about both children and teachers. A psychoanalytic analysis of the literary genre of the doppelganger identifies…