Growing numbers of educational researchers are using rhizoanalytic approaches based on the work of Deleuze and Guattari to think differently in their research practices. However, as those engaging in debates about post-qualitative research suggest, thinking differently is not without its challenges. This paper uses three complex challenges…

In generalizability theory studies in large-scale testing contexts, sometimes a facet is very sparsely crossed with the object of measurement. For example, when assessments are scored by human raters, it may not be practical to have every rater score all students. Sometimes the scoring is systematically designed such that the raters are…

In a previous article we demonstrated that a simple, passive external circuit incorporating a thermistor, connected to a mobile device through the headset jack, can be used to collect temperature data. The basic approach is to output a sine wave signal to the headset port, through the circuit, and input the resulting signal from the headset…

The interpretive and subjective nature of qualitative research has led to growing utilization of arts-based strategies for data collection, analysis and dissemination. The defining characteristic of all such strategies is that they are largely subjective and intended to invoke personal responses in the 'audience.' Following that direction, many…

It is common knowledge that teacher quality is a key in-school factor affecting student achievement. While the quality of teaching clearly matters for how much students learn, this quality is challenging to measure. Evaluating teacher quality based on the level of their students' end-of-year test scores has been one method of assessing…

Why do workforce data matter? A strong education prepares students to succeed in their chosen careers, but education, training, and employment pathways are changing. Individuals take multiple paths into the workforce. Some get jobs after completing high school, some after earning a college degree. To develop and support a strong workforce,…

This paper reports on results of applying process discovery mining and sequence classification mining techniques to a data set of semi-structured learning activities. The main research objective is to advance educational data mining to model and support self-regulated learning in heterogeneous environments of learning content, activities, and…

The Rail Trail and Property Values dataset includes information on a set of n = 104 homes which sold in Northampton, Massachusetts in 2007. The dataset provides house information (square footage, acreage, number of bedrooms, etc.), price estimates (from Zillow.com) at four time points, location, distance from a rail trail in the community, biking…

The Data Quality Campaign (DQC) has been focused since 2005 on advocating for states to build robust state longitudinal data systems (SLDS). While states have made great progress in their data infrastructure, and should continue to emphasize this work, data systems alone will not improve outcomes. It is time for both DQC and states to focus on…

The use, and misuse, of statistics is commonplace, yet in the printed format data representations can be either over simplified, supposedly for impact, or so complex as to lead to boredom, supposedly for completeness and accuracy. In this article the link to the video clip shows how dynamic visual representations can enliven and enhance the…

Arabic speaking countries live in diglossic communities. This is where two or more varieties of a language are used by the same speech community. This paper examines students' attitude towards Arabic language varieties. It focuses mainly on Egyptian students' attitude towards the fu??a on one hand and the Egyptian Arabic (EA) variety on the other.…

Product development of Japanese companies has changed greatly from the post-war revival period, when it was promoted mainly to provide low-cost, high-quality products. In recent years, it has become necessary to develop products and services that correspond to social issues. Research and development has shifted from a technological basis to a…

The demand for evidence in particular forms shapes contemporary educational policy, curriculum studies' debates over the politics of knowledge "versus" wisdom, and research into classroom practice. This paper provides a genealogical trace that examines the arbitrary and historical linkage of discourses of vision (especially when vision…

Traditional knowledge-component models describe students' content knowledge (e.g., their ability to carry out problem-solving procedures or their ability to reason about a concept). In many STEM domains, instruction uses multiple visual representations such as graphs, figures, and diagrams. The use of visual representations implies a…

The Domain Five Observation Instrument (DFOI) is a competency-based observation instrument recommended for sport leaders or researchers who wish to evaluate coaches' instructional behaviors. The DFOI includes 10 behavior categories and four timed categories that encompass 34 observable instructional benchmarks outlined in domain five of the…